labic

2024

1.	CARAVANTI DE SOUZA, MARIANA ; SILVA GÔLO, MARCOS PAULO ; MÁRIO GUEDES JORGE, ALÍPIO ; AMORIM, EVELIN ; CAMPOS, RICARDO ; MARCONDES MARCACINI, RICARDO ; OLIVEIRA REZENDE, SOLANGE. Keywords attention for fake news detection using few positive labels. INFORMATION SCIENCES. v. 1, p. 120300, issn: 0020-0255, 2024.
2.	CARMO, F. A. ; Rezende, Solange Oliveira ; LOBATO, F. M. F.. PREDATISMO NO BRASIL: UM RX SOBRE PERIÓDICOS NAS INDEXAÇÕES DOS QUALIS DA CAPES USANDO TÉCNICAS DE MINERAÇÃO DE TEXTO. REVISTA EPISTEME TRANSVERSALIS. v. 15, p. 280-299, issn: 2236-2649, 2024.
3.	DA SILVA, ANGELO CESAR MENDES ; SILVA, DIEGO FURTADO ; MARCACINI, RICARDO MARCONDES. Artist Similarity Based on Heterogeneous Graph Neural Networks. IEEE-ACM Transactions on Audio Speech and Language Processing. v. 32, p. 3717-3729, issn: 2329-9290, 2024.
4.	DOS REIS FILHO, IVAN JOSÉ ; COLETI, JAMILLE DE CAMPOS ; MARCACINI, RICARDO MARCONDES ; REZENDE, SOLANGE OLIVEIRA. Dataset: Annotated Soybean Market News Articles. DATA IN BRIEF. v. 1, p. 110545, issn: 2352-3409, 2024.
5.	REIS FILHO, I. J. ; GÔLO, MARCOS PAULO SILVA ; MARCACINI, R. M. ; Solange Oliveira Rezende. How do financial time series enhance the detection of news significance in market movements? A study using graph neural networks with heterogeneous representations. NEURAL COMPUTING & APPLICATIONS (INTERNET). v. 1, p. 1-13, issn: 0941-0643, 2024.
6.	GOLO, M. P. S. ; MORAES, L. G. ; GOULARTE, R. ; MARCACINI, R. M.. The Impact of Representation Learning on Unsupervised Graph Neural Networks for One-Class Recommendation. Journal of Information and Data Management - JIDM. v. 1, p. 1, issn: 2178-7107, 2024.
7.	GUIJO-RUBIO, DAVID ; MIDDLEHURST, MATTHEW ; ARCENCIO, GUILHERME ; SILVA, DIEGO FURTADO ; BAGNALL, ANTHONY. Unsupervised feature based algorithms for time series extrinsic regression. DATA MINING AND KNOWLEDGE DISCOVERY. v. 38, p. 2141-2185, issn: 1384-5810, 2024.
8.	GUIMARÃES, GABRIEL M.C. ; DA SILVA, FELIPE X.B. ; QUEIROZ, ANDREI L. ; MARCACINI, RICARDO M. ; FALEIROS, THIAGO P. ; BORGES, VINICIUS R.P. ; GARCIA, LUÍS P.F.. DODFMiner: An automated tool for Named Entity Recognition from Official Gazettes. NEUROCOMPUTING. v. 568, p. 127064, issn: 0925-2312, 2024.
9.	GÔLO, MARCOS PAULO SILVA ; DE MORAES JUNIOR, MARCELO ISAIAS ; GOULARTE, RUDINEI ; MARCACINI, RICARDO MARCONDES. Unsupervised Heterogeneous Graph Neural Networks for One-Class Tasks: Exploring Early Fusion Operators. Journal on Interactive Systems. v. 15, p. 517-529, issn: 2763-7719, 2024.
10.	MACHADO, MATHEUS MATOS ; MARQUES, JOICE BASÍLIO MACHADO ; GUALDANI, FABRÍCIO A. ; DOS SANTOS, MONICA PUGLIESE HELEODORO ; LARIO, FABIO CERQUEIRA ; DE ARAUJO, CHAYANNE ANDRADE ; OLIVEIRA, FABIANA ANDRADE NUNES ; ENSINA, LUIS FELIPE CHIAVERINI ; MARCACINI, RICARDO MARCONDES ; MOREIRA, DILVAN. Evaluación de modelos de lenguaje de gran escala para la detección de anafilaxia en notas clínicas. journal of health informatics. v. 16, p. 1, issn: 2175-4411, 2024.
11.	OLIVEIRA, VITOR ; NOGUEIRA, GABRIEL ; FALEIROS, THIAGO ; MARCACINI, RICARDO. Combining prompt-based language models and weak supervision for labeling named entity recognition on legal documents. ARTIFICIAL INTELLIGENCE AND LAW (DORDRECHT. PRINT). v. 1, p. 1, issn: 0924-8463, 2024.
12.	VALLE, P. H. D. ; TONON, V. R. ; GARCES, L. ; REZENDE, SOLANGE ; NAKAGAWA, E. Y.. TASIS: A Typology of Architectural Strategies for Interoperability in Software-Intensive Systems. COMPUTER STANDARDS & INTERFACES. v. 1, p. 1-18, issn: 0920-5489, 2024.

2022

1.	ALEX LOPES PEREIRA ; SOLANGE OLIVEIRA REZENDE ; RICARDO MARCACINI ; DANIEL MATOS CALDEIRA. Ciência de Dados na Administração Pública: Desafios e Oportunidades. Revista da CGU. v. 14, p. 164-167, issn: 2595-668X, 2022.
2.	ARAUJO, A. ; GOLO, M. ; MARCACINI, R. M.. Opinion mining for app reviews: an analysis of textual representation and predictive models. Automated Software Engineering. v. 29, p. 1-30, issn: 0928-8910, 2022.
3.	AZEVEDO SILVA, VITOR ; SILVA MIRANDA, MATHEUS HENRIQUE ; ALBUQUERQUE DOS SANTOS, PHILLIPPY CARDELLY ; MESQUITA DE FARIAS, ALINNE GRAZIELLE ; DE PADUA, RENAN ; OLIVEIRA DE CARVALHO, VERÔNICA ; OLIVEIRA REZENDE, SOLANGE ; CALÇADA, DARIO. KNOWLEDGE DISCOVERY IN PORTUGUESE LANGUAGE SUICIDAL TWEETS USING FILTERED- EXTENDED ASSOCIATION RULES NETWORK. REVISTA GESTÃO E CONHECIMENTO. v. 16, p. 150-166, issn: 1677-9762, 2022.
4.	BIANCHI, MICHAEL J. ; CONFORTO, EDIVANDRO C. ; REBENTISCH, ERIC ; AMARAL, DANIEL C. ; REZENDE, SOLANGE O. ; DE PADUA, RENAN. Recommendation of Project Management Practices: A Contribution to Hybrid Models. IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT. v. 69, p. 3558-3571, issn: 0018-9391, 2022.
5.	Calçada, Dario Brito ; CAMPOS NETO, CANTÍDIO DE MOURA ; AMATO, VIVIAN LERNER ; SINOARA, ROBERTA AKEMI ; Rezende, Solange Oliveira. Identification of factors related to complications in myocardial revascularization surgery: an approach with multi-target association rules networks. RESEARCH, SOCIETY AND DEVELOPMENT. v. 11, p. e506111537638, issn: 2525-3409, 2022.
6.	CARMO, P. R. V. ; REIS FILHO, I. ; MARCACINI, R. M.. The TRENCHANT: TRENd prediCtion on Heterogeneous informAtion NeTworks. Journal of Information and Data Management - JIDM. v. 13, p. 624-636, issn: 2178-7107, 2022.
7.	DA SILVA, ANGELO CESAR MENDES ; SILVA, DIEGO FURTADO ; MARCACINI, RICARDO MARCONDES. Multimodal representation learning over heterogeneous networks for tag-based music retrieval. EXPERT SYSTEMS WITH APPLICATIONS. v. 207, p. 117969, issn: 0957-4174, 2022.
8.	DE SOUZA, MARIANA CARAVANTI ; NOGUEIRA, BRUNO MAGALHÃES ; ROSSI, RAFAEL GERALDELI ; MARCACINI, RICARDO MARCONDES ; DOS SANTOS, BRUCCE NEVES ; Rezende, Solange Oliveira. A network-based positive and unlabeled learning approach for fake news detection. MACHINE LEARNING. v. 111, p. 3549-3592, issn: 0885-6125, 2022.
9.	DOS REIS FILHO, IVAN JOSÉ ; MARCACINI, RICARDO MARCONDES ; REZENDE, SOLANGE OLIVEIRA. On the enrichment of time series with textual data for forecasting agricultural commodity prices. METHODSX. v. 1, p. 101758, issn: 2215-0161, 2022.
10.	Drury, Brett ; GONÇALO OLIVEIRA, HUGO ; de Andrade Lopes, Alneu. A survey of the extraction and applications of causal relations. Natural Language Engineering. v. 28, p. 361-400, issn: 1351-3249, 2022.
11.	GÔLO, MARCOS P.S. ; ARAÚJO, ADAILTON F. ; ROSSI, RAFAEL G. ; MARCACINI, RICARDO M.. Detecting relevant app reviews for software evolution and maintenance through multimodal one-class learning. INFORMATION AND SOFTWARE TECHNOLOGY. v. 151, p. 106998, issn: 0950-5849, 2022.
12.	LIMA, V. M. A. ; ARAUJO, A. ; MARCACINI, R. M.. Temporal dynamics of requirements engineering from mobile app reviews. PEERJ COMPUTER SCIENCE. v. 8, p. e874, issn: 2376-5992, 2022.
13.	MAZZU-NASCIMENTO, THIAGO ; EVANGELISTA, DANILO NOGUEIRA ; ABUBAKAR, OBEEDU ; ROSCANI, MELIZA GOI ; AGUILAR, RODRIGO SANTOS ; CHACHÁ, SILVANA GAMA FLORÊNCIO ; ROSA, PRISCILA RAUPP DA ; SILVA, DIEGO FURTADO. Smartphone-Based Screening for Cardiovascular Diseases: A Trend?. INTERNATIONAL JOURNAL OF CARDIOVASCULAR SCIENCES (ONLINE). v. 35, p. 127-134, issn: 2359-4802, 2022.
14.	VALEJO, ALAN DEMÉTRIUS BARIA ; FABBRI, RENATO ; de Andrade Lopes, Alneu ; Zhao, Liang ; DE OLIVEIRA, MARIA CRISTINA FERREIRA. Multilevel Coarsening for Interactive Visualization of Large Bipartite Networks. Frontiers in Research Metrics and Analytics. v. 7, p. 1-18, issn: 2504-0537, 2022.

2021

1.	CARNEVALI, JULIO CÉSAR ; GERALDELI ROSSI, RAFAEL ; MILIOS, EVANGELOS ; de Andrade Lopes, Alneu. A graph-based approach for positive and unlabeled learning. INFORMATION SCIENCES. v. 580, p. 655-672, issn: 0020-0255, 2021.
2.	SANTOS, BRUCCE NEVES DOS ; MARCACINI, RICARDO MARCONDES ; Rezende, Solange Oliveira. Multi-Domain Aspect Extraction using Bidirectional Encoder Representations from Transformers. IEEE Access. v. 1, p. 91604-91613, issn: 2169-3536, 2021.
3.	FERREIRA SR, GABRIEL FERRAZ ; QUILES SR, MARCOS GONÇALVES ; NAZARE SR, TIAGO SANTANA ; Rezende, Solange Oliveira ; DEMARZO SR, MARCELO. Automation of article selection process in systematic reviews through artificial neural network modeling and machine learning: A methodological protocol report (Preprint). JMIR RESEARCH PROTOCOLS. v. 10, p. e26448-6, issn: 1929-0748, 2021.
4.	GOLO, M. ; ROSSI, R. G. ; MARCACINI, R. M.. Learning to sense from events via semantic variational autoencoder. PLoS One. v. 16, p. e0260701, issn: 1932-6203, 2021.
5.	MAZZU-NASCIMENTO, THIAGO ; EVANGELISTA, D. N. ; ABUBAKAR, OBEEDU ; GERALDO ALVES SOUTO, BERNARDINO ; DOMINGUES, LUCAS VINICIUS ; SILVA, D. F. ; NOGUEIRA-DE-ALMEIDA, CARLOS ALBERTO. Remote and non-invasive monitoring of patients with COVID-19 by smartphone. SCIENTIA MEDICA (PORTO ALEGRE. ONLINE). v. 31, p. e39340, issn: 1980-6108, 2021.
6.	MAZZU-NASCIMENTO, THIAGO ; EVANGELISTA, DANILO NOGUEIRA ; ABUBAKAR, OBEEDU ; SOUSA, AMANDA SOARES ; SOUZA, LEANDRO CÂNDIDO DE ; CHACHÁ, SILVANA GAMA FLORENCIO ; LUPORINI, RAFAEL LUIS ; DOMINGUES, LUCAS VINÍCIUS ; SILVA, DIEGO FURTADO ; NOGUEIRA-DE-ALMEIDA, CARLOS ALBERTO. Smartphone-based photo analysis for the evaluation of anemia, jaundice and COVID-19. Revista de Nutrologia / International Journal of Nutrology. v. 14, p. e55-e60, issn: 1984-3011, 2021.
7.	PINTO, RICARDO A.M. ; BERNARDINI, FLAVIA ; MARCACINI, RICARDO M.. PPM-HC: a method for helping project portfolio management based on topic hierarchy learnings. INTERNATIONAL JOURNAL OF BUSINESS INTELLIGENCE AND DATA MINING. v. 18, p. 364-382, issn: 1743-8187, 2021.
8.	DOS SANTOS, THIAGO BERTOLINI ; CAMPESE, CARINA ; MARCACINI, RICARDO M. ; SINOARA, ROBERTA A. ; REZENDE, SOLANGE O. ; MASCARENHAS, JANAINA. Prototyping for user involvement activities: How to achieve major benefits. JOURNAL OF MANUFACTURING SCIENCE AND TECHNOLOGY. v. 33, p. 465-472, issn: 1755-5817, 2021.
9.	SANTOS, T. B. ; CAMPESE, C. ; MARCACINI, R. M. ; SINOARA, R. A. ; REZENDE, S. O. ; MASCARENHAS, J.. Prototyping for user involvement activities: How to achieve major benefits. JOURNAL OF MANUFACTURING SCIENCE AND TECHNOLOGY. v. 33, p. 465-472, issn: 1755-5817, 2021.
10.	SHIGUIHARA, PEDRO ; Lopes, Alneu de Andrade ; MAURICIO, DAVID. Dynamic Bayesian Network Modeling, Learning, and Inference: A Survey. IEEE Access. v. ,, p. 1-1, issn: 2169-3536, 2021.
11.	SINOARA, R. A. ; MARCACINI, RICARDO M. ; Rezende, Solange Oliveira. Mineração de Textos e Semântica: desafios, abordagens e aplicações. SISTEMAS DE INFORMAÇÃO (MACAÉ). v. 27, p. 41-53, issn: 1983-5604, 2021.
12.	SOUZA, M. C. ; ROSSI, R. G. ; SANTOS, B. N. ; NOGUEIRA, B. M. ; MARCACINI, R. M. ; Rezende, S. O.. A network-based positive and unlabeled learning approach for fake news detection. MACHINE LEARNING. v. 110, p. 1-41, issn: 0885-6125, 2021.

2020

1.	DE PAULO FALEIROS, THIAGO ; Valejo, Alan ; de Andrade Lopes, Alneu. Unsupervised learning of textual pattern based on Propagation in Bipartite Graph. Intelligent Data Analysis. v. 24, p. 543-565, issn: 1088-467X, 2020.
2.	DOS SANTOS, BRUCCE NEVES ; ROSSI, RAFAEL GERALDELI ; REZENDE, S. O. ; MARCACINI, R. M.. A two-stage regularization framework for heterogeneous event networks. PATTERN RECOGNITION LETTERS. v. 138, p. 490-496, issn: 0167-8655, 2020.
3.	DOS SANTOS, BRUCCE NEVES ; ROSSI, RAFAEL GERALDELI ; REZENDE, SOLANGE OLIVEIRA ; MARCACINI, RICARDO MARCONDES. A two-stage regularization framework for heterogeneous event networks. PATTERN RECOGNITION LETTERS. v. 138, p. 490-496, issn: 0167-8655, 2020.
4.	MAZZU-NASCIMENTO, THIAGO ; EVANGELISTA, DANILO NOGUEIRA ; ABUBAKAR, OBEEDU ; CARRILHO, EMANUEL ; SILVA, DIEGO FURTADO ; CHACHÁ, SILVANA GAMA FLORENCIO ; LUPORINI, RAFAEL LUIS ; LUCA, ANDRÉIA ANDREOZI ALCÂNTARA MOURA DE ; ESTEVÃO, ISABETH FONSECA ; NOGUEIRA-DE-ALMEIDA, CARLOS ALBERTO. Mobile Health (mHealth) and Advances in Noninvasive Diagnosis of Anemia: An Overview. Revista de Nutrologia / International Journal of Nutrology. v. 13, p. 042-047, issn: 1984-3011, 2020.
5.	MAZZU-NASCIMENTO, THIAGO ; LEAL, ÂNGELA MERICE DE OLIVEIRA ; NOGUEIRA-DE-ALMEIDA, CARLOS ALBERTO ; DE AVÓ, LUCIMAR RETTO DA SILVA ; CARRILHO, EMANUEL ; SILVA, DIEGO FURTADO. Noninvasive Self-monitoring of Blood Glucose at Your Fingertips, Literally!: Smartphone-Based Photoplethysmography. Revista de Nutrologia / International Journal of Nutrology. v. 13, p. 048-052, issn: 1984-3011, 2020.
6.	MINATEL, DIEGO ; FERREIRA, VINÍCIUS ; de Andrade Lopes, Alneu. Local-entity resolution for building location-based social networks by using stay points. THEORETICAL COMPUTER SCIENCE. v. ., p. 1-15, issn: 0304-3975, 2020.
7.	SILVA, J. D. S. ; CALCADA, D. B. ; REZENDE, S. O. ; CALCADA, A. C. M.. Automatic identification of knowledge related to dengue cases in the state of Piauí in public databases using Filtered-Association Rules Networks. REVISTA DE INFORMÁTICA TEÓRICA E APLICADA: RITA. v. 03, p. 40-49, issn: 2175-2745, 2020.
8.	SUNDERMANN, CAMILA VACCARI ; PADUA, RENAN ; TONON, VÍTOR RODRIGUES ; MARCACINI, RICARDO MARCONDES ; DOMINGUES, MARCOS AURÉLIO ; REZENDE, SOLANGE OLIVEIRA. A context-aware recommender method based on text and opinion mining. Expert Systems (Online). v. e12618, p. e12618, issn: 1468-0394, 2020.
9.	Valejo, Alan ; Faleiros, T. P. ; Oliveira, M. C. F. ; Lopes, Alneu de Andrade. A coarsening method for bipartite networks via weight-constrained label propagation. KNOWLEDGE-BASED SYSTEMS. v. 195, p. 105678, issn: 0950-7051, 2020.
10.	Valejo, Alan ; FERREIRA, V. ; Fabri, R. ; OLIVEIRA, Maria Cristina de ; Lopes, Alneu de Andrade. A Critical Survey of the Multilevel Method in Complex Networks. ACM COMPUTING SURVEYS. v. 53, p. 1-35, issn: 0360-0300, 2020.
11.	ZHU, YAN ; GHARGHABI, SHAGHAYEGH ; SILVA, DIEGO FURTADO ; DAU, HOANG ANH ; YEH, CHIN-CHIA MICHAEL ; SHAKIBAY SENOBARI, NADER ; ALMASLUKH, ABDULAZIZ ; KAMGAR, KAVEH ; ZIMMERMAN, ZACHARY ; FUNNING, GARETH ; MUEEN, ABDULLAH ; KEOGH, EAMONN. The Swiss army knife of time series data mining: ten useful things you can do with the matrix profile and ten lines of code. DATA MINING AND KNOWLEDGE DISCOVERY. v. 1, p. 1, issn: 1384-5810, 2020.

2019

1.	CALCADA, D. B. ; REZENDE, SOLANGE O. ; TEODORO, M. S. Analysis of green manure decomposition parameters in northeast Brazil using association rule networks. COMPUTERS AND ELECTRONICS IN AGRICULTURE. v. 159, p. 34-41, issn: 0168-1699, 2019.
2.	Calçada, Dario Brito ; Rezende, Solange Oliveira. Filtered-ARN: Asymmetric objective measures applied to filter Association Rules Networks. CLEI ELECTRONIC JOURNAL. v. 22, p. 1-16, issn: 0717-5000, 2019.
3.	COUTINHO, F. P. ; ROSSI, R. G. ; REZENDE, S. O.. GA-TCTN: A FRAMEWORK FOR HYPER-PARAMETER OPTMIZATION AND TEXT CLASSIFICATION USING TRANSDUCTIVE CLASSIFICATON THROUGH TERM NETWORKS. LEARNING AND NONLINEAR MODELS. v. 17, p. 22-41, issn: 1676-2789, 2019.
4.	Drury, Brett ; FERNANDES, ROBSON ; MOURA, MARIA-FERNANDA ; de Andrade Lopes, Alneu. A survey of semantic web technology for agriculture. INFORMATION PROCESSING IN AGRICULTURE. v. 6, p. 487-501, issn: 2214-3173, 2019.
5.	RUBIO, KATIA ; RABELO, IVAN SANTANA ; SINOARA, ROBERTA AKEMI ; BARBOSA, RENAN SANTOS ; Rezende, Solange Oliveira. Identificação de personalidade de atletas olímpicos: uma análise exploratória de narrativa com mineração de textos. REVISTA BRASILEIRA DE PSICOLOGIA DO ESPORTE. v. 9, p. 1-19, issn: 1981-9145, 2019.
6.	SABINO PARMEZAN, ANTONIO RAFAEL ; SOUZA, VINICIUS M.A. ; BATISTA, GUSTAVO E.A.P.A.. Evaluation of statistical and machine learning models for time series prediction: Identifying the state-of-the-art and the best conditions for the use of each model. INFORMATION SCIENCES. v. 484, p. 302-337, issn: 0020-0255, 2019.
7.	SINOARA, ROBERTA A. ; CAMACHO-COLLADOS, JOSE ; ROSSI, RAFAEL G. ; NAVIGLI, ROBERTO ; REZENDE, SOLANGE O.. Knowledge-enhanced document embeddings for text classification. KNOWLEDGE-BASED SYSTEMS. v. 163, p. 955-971, issn: 0950-7051, 2019.
8.	SUNDERMANN, CAMILA V. ; DOMINGUES, M. A. ; SINOARA, R. A. ; MARCACINI, R. M. ; Rezende, S. O.. Using Opinion Mining in Context-Aware Recommender Systems: A Systematic Review. INFORMATION. v. 10, p. 42-87, issn: 2078-2489, 2019.
9.	Valejo, Alan ; GOES, F. ; Romanetto, L. ; OLIVEIRA, Maria Cristina de ; Lopes, Alneu de Andrade. A benchmarking tool for the generation of bipartite network models with overlapping communities. KNOWLEDGE AND INFORMATION SYSTEMS. p. 1-29, issn: 0219-1377, 2019.
10.	VASQUES, D. G. ; MARTINS, P. S. ; REZENDE, SOLANGE O.. A New Statistical and Verbal-Semantic Approach to Pattern Extraction in Text Mining Applications. CLEI ELECTRONIC JOURNAL. v. 22, p. 1-23, issn: 0717-5000, 2019.

2018

1.	CORRÊA, EDILSON A. ; LOPES, ALNEU A. ; AMANCIO, DIEGO R.. Word sense disambiguation: a complex network approach. INFORMATION SCIENCES. v. 442443, p. 103-113, issn: 0020-0255, 2018.
2.	DAU, HOANG ANH ; SILVA, DIEGO FURTADO ; PETITJEAN, FRANÇOIS ; FORESTIER, GERMAIN ; BAGNALL, ANTHONY ; MUEEN, ABDULLAH ; KEOGH, EAMONN. Optimizing dynamic time warping?s window width for time series data mining applications. DATA MINING AND KNOWLEDGE DISCOVERY. v. 32, p. 1074-1120, issn: 1384-5810, 2018.
3.	DOS SANTOS, FABIANO FERNANDES ; DOMINGUES, Marcos Aurelio ; SUNDERMANN, CAMILA VACCARI ; DE CARVALHO, VERONICA OLIVEIRA ; MOURA, MARIA FERNANDA ; REZENDE, S. O.. Latent association rule cluster based model to extract topics for classification and recommendation applications. EXPERT SYSTEMS WITH APPLICATIONS. v. 112, p. 34-60, issn: 0957-4174, 2018.
4.	MALETZKE, ANDRÉ G. ; DOS REIS, DENIS M. ; Batista, Gustavo E. A. P. A.. Combining instance selection and self-training to improve data stream quantification. JOURNAL OF THE BRAZILIAN COMPUTER SOCIETY (IMPRESSO). v. 24, p. 12, issn: 0104-6500, 2018.
5.	MARCACINI, R. M. ; MATSUNO, I. P. ; ROSSI, RAFAEL GERALDELI ; Rezende, Solange Oliveira. Cross-domain aspect extraction for sentiment analysis: A transductive learning approach. DECISION SUPPORT SYSTEMS. v. 114, p. 70-80, issn: 0167-9236, 2018.
6.	SILVA, DIEGO F. ; GIUSTI, RAFAEL ; Keogh, Eamonn ; Batista, Gustavo E. A. P. A.. Speeding up similarity search under dynamic time warping by pruning unpromising alignments. DATA MINING AND KNOWLEDGE DISCOVERY (DORDRECHT. ONLINE). v. 32, p. 988-1016, issn: 1573-756X, 2018.
7.	SILVA, DIEGO FURTADO ; YEH, CHIN-CHIA MICHAEL ; ZHU, YAN ; Batista, Gustavo ; Keogh, Eamonn. Fast Similarity Matrix Profile for Music Analysis and Exploration. IEEE TRANSACTIONS ON MULTIMEDIA. v. 21, p. 1-1, issn: 1520-9210, 2018.
8.	Valejo, Alan ; FERREIRA DE OLIVEIRA, MARIA CRISTINA ; FILHO, GERALDO P.R. ; Lopes, Alneu de Andrade. Multilevel approach for combinatorial optimization in bipartite network. KNOWLEDGE-BASED SYSTEMS. v. 151, p. 45-61, issn: 0950-7051, 2018.
9.	Valverde-Rebaza, Jorge Carlos ; Roche, M. ; Pncelet, P. ; Lopes, Alneu de Andrade. The role of location and social strength for friendship prediction in location-based social networks. INFORMATION PROCESSING & MANAGEMENT. v. 54, p. 475-489, issn: 0306-4573, 2018.
10.	YEH, CHIN-CHIA MICHAEL ; ZHU, YAN ; ULANOVA, LIUDMILA ; BEGUM, NURJAHAN ; DING, YIFEI ; DAU, HOANG ANH ; ZIMMERMAN, ZACHARY ; SILVA, DIEGO FURTADO ; MUEEN, ABDULLAH ; KEOGH, EAMONN. Time series joins, motifs, discords and shapelets: a unifying view that exploits the matrix profile. DATA MINING AND KNOWLEDGE DISCOVERY (DORDRECHT. ONLINE). v. 32, p. 83-123, issn: 1573-756X, 2018.

2017

1.	BERTON, L. ; Faleiros, T. P. ; Valejo, Alan ; VALVERDE-REBAZA, JORGE ; Lopes, Alneu de Andrade. RGCLI: Robust Graph that Considers Labeled Instances for Semi-Supervised Learning. Neurocomputing (Amsterdam). v. 226, p. 238-248, issn: 0925-2312, 2017.
2.	Drury, Brett ; FERNANDES, ROBSON ; Lopes, Alneu de Andrade. BrAgriNews: Um Corpus Temporal-Causal (Português-Brasileiro) para a Agricultura. LINGUAMÁTICA (BRAGA). v. 9, p. 41-54, issn: 1647-0818, 2017.
3.	Drury, Brett ; Valverde-Rebaza, Jorge Carlos ; MOURA, MARIA-FERNANDA ; Lopes, Alneu de Andrade. A survey of the applications of Bayesian networks in agriculture. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE. v. 65, p. 29-42, issn: 0952-1976, 2017.
4.	Eustáquio, Fernanda ; Nogueira, Tatiane ; Camargo, Heloisa ; REZENDE, S. O.. On Fuzzy Cluster Validity Indexes for High Dimensional Feature Space. ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING. v. 2, p. 12-23, issn: 2194-5357, 2017.
5.	FALEIROS, T. P. ; GERALDELI ROSSI, RAFAEL ; LOPES, A. A.. Optimizing the class information divergence for transductive classification of texts using propagation in bipartite graphs. PATTERN RECOGNITION LETTERS. v. 87, p. 127-138, issn: 0167-8655, 2017.
6.	GERALDELI ROSSI, RAFAEL ; ANDRADE LOPES, ALNEU DE ; OLIVEIRA REZENDE, SOLANGE. Using bipartite heterogeneous networks to speed up inductive semi-supervised learning and improve automatic text categorization. KNOWLEDGE-BASED SYSTEMS. v. 132, p. 94-118, issn: 0950-7051, 2017.
7.	MAZZU-NASCIMENTO, THIAGO ; MORBIOLI, GIORGIO GIANINI ; MILAN, LUIS APARECIDO ; SILVA, DIEGO FURTADO ; DONOFRIO, FABIANA CRISTINA ; MESTRINER, CARLOS ALBERTO ; CARRILHO, EMANUEL. Improved assessment of accuracy and performance indicators in paper-based ELISA. Analytical Methods. v. 9, p. 2644-2653, issn: 1759-9660, 2017.
8.	SINOARA, ROBERTA AKEMI ; ANTUNES, JOÃO ; Rezende, Solange Oliveira. Text mining and semantics: a systematic mapping study. JOURNAL OF THE BRAZILIAN COMPUTER SOCIETY (IMPRESSO). v. 23, p. 1-35, issn: 0104-6500, 2017.
9.	SOUZA, VINICIUS M.A. ; ROSSI, RAFAEL G. ; BATISTA, GUSTAVO E.A.P.A. ; REZENDE, SOLANGE O.. Unsupervised active learning techniques for labeling training sets: An experimental evaluation on sequential data. Intelligent Data Analysis. v. 21, p. 1061-1095, issn: 1571-4128, 2017.

2016

1.	BERTON, LILIAN ; de Andrade Lopes, Alneu. Neighborhood graph construction for semi-supervised learning. AI Matters. v. 2, p. 14-15, issn: 2372-3483, 2016.
2.	MANZATO, M. G. ; DOMINGUES, M. A. ; FORTES, A. C. ; SUNDERMANN, C. V. ; D'ADDIO, RAFAEL ; CONRADO, M. S. ; REZENDE, S. O. ; PIMENTEL, Maria da Graça Campos. Mining unstructured content for recommender systems: an ensemble approach. Information Retrieval (Boston). p. 1-38, issn: 1386-4564, 2016.
3.	MATSUNO, I. P. ; ROSSI, R. G. ; MARCACINI, R. M. ; REZENDE, SOLANGE O.. Aspect-based Sentiment Analysis using Semi-Supervised Learning in Bipartite Heterogeneous Networks. Journal of Information and Data Management - JIDM. v. 7, p. 141-154, issn: 2178-7107, 2016.
4.	ROSSI, RAFAEL GERALDELI ; LOPES, Alneu de Andrade ; Rezende, Solange Oliveira. Optimization and label propagation in bipartite heterogeneous networks to improve transductive classification of texts. INFORMATION PROCESSING & MANAGEMENT. v. 52, p. 217-257, issn: 0306-4573, 2016.
5.	SPOLAÔR, NEWTON ; Monard, Maria Carolina ; TSOUMAKAS, GRIGORIOS ; LEE, HUEI DIANA. A systematic review of multi-label feature selection and a new method based on label construction. Neurocomputing (Amsterdam). v. 180, p. 3-15, issn: 0925-2312, 2016.
6.	SUNDERMANN, C. V. ; DOMINGUES, Marcos Auréilo ; CONRADO, M. S. ; REZENDE, SOLANGE O.. Privileged contextual information for context-aware recommender systems. EXPERT SYSTEMS WITH APPLICATIONS. v. 57, p. 139-158, issn: 0957-4174, 2016.

2015

1.	BRAGA, I.A. ; MONARD, M. C.. Improving the kernel regularized least squares method for small-sample regression. Neurocomputing (Amsterdam). v. 163, p. 106-114, issn: 0925-2312, 2015.
2.	CARVALHO, V. O. ; Santos, F. F. ; REZENDE, S. O.. Metrics for Association Rule Clustering Assessment. INTERNATIONAL JOURNAL ON TRANSACTIONS ON LARGE-SCALE DATA- AND KNOWLEDGE-CENTERED SYSTEMS (TLDKS). v. 8970, p. 97-127, issn: 1869-1994, 2015.
3.	CORRÊA, GERALDO N. ; MARCACINI, RICARDO M. ; HRUSCHKA, EDUARDO R. ; REZENDE, SOLANGE O.. Interactive textual feature selection for consensus clustering. Pattern Recognition Letters. v. 52, p. 25-31, issn: 0167-8655, 2015.
4.	MARQUES, CAIO AUGUSTO NUNES ; MATSUNO, IVONE PENQUE ; SINOARA, ROBERTA AKEMI ; Rezende, Solange Oliveira ; ROZENFELD, HENRIQUE. Comparative analysis of methods and tools applicability for product and IPSS development based on Text Mining Techniques. PRODUCT (IGDP). v. 13, p. 57-66, issn: 1676-4056, 2015.
5.	Motta, Robson ; MINGHIM, Rosane ; de Andrade Lopes, Alneu ; F. OLIVEIRA, MARIA CRISTINA. Graph-based measures to assist user assessment of multidimensional projections. Neurocomputing (Amsterdam). v. 150, p. 583-598, issn: 0925-2312, 2015.
6.	SILVA, DIEGO F. ; SOUZA, VINÍCIUS M. A. ; ELLIS, DANIEL P. W. ; KEOGH, EAMONN J. ; Batista, Gustavo E. A. P. A.. Exploring Low Cost Laser Sensors to Identify Flying Insect Species. Journal of Intelligent & Robotic Systems (Dordrecht. Online). v. 1, p. 1-18, issn: 1573-0409, 2015.

2014

1.	ASSIRATI, L ; SILVA, N R ; BERTON, L ; LOPES, A A ; BRUNO, O M. Performing edge detection by Difference of Gaussians using q-Gaussian kernels. Journal of Physics. Conference Series (Online). v. 490, p. 012020, issn: 1742-6596, 2014.
2.	BONIN, R. ; MARCACINI, R. M. ; Rezende, S. O.. Unsupervised Instance Selection From Text Streams. Journal of Information and Data Management - JIDM. v. 5, p. 114-123Instance Sel, issn: 2178-7107, 2014.
3.	Carneiro, M. G. ; Rosa, J. L. ; LOPES, A. A. ; ZHAO, L.. Network-based data classification: combining K-associated optimal graphs and high-level prediction. Journal of The Brazilian Computer Society (Online). v. 20, p. 14, issn: 1678-4804, 2014.
4.	CARVALHO, DARLINTON ; MARCACINI, RICARDO ; LUCENA, CARLOS ; REZENDE, SOLANGE. A Process to Support Analysts in Exploring and Selecting Content from Online Forums. SOCIAL NETWORKING. v. 03, p. 86-93, issn: 2169-3285, 2014.
5.	CHEN, Y. ; WHY, A. ; BATISTA, G. E. A. P. A. ; Mafra Neto, A. ; Keogh, Eamonn. Flying Insect Detection and Classification with Inexpensive Sensors. Journal of Visualized Experiments. v. 92, p. e52111, issn: 1940-087X, 2014.
6.	CHEN, YANPING ; WHY, ADENA ; Batista, Gustavo ; MAFRA-NETO, AGENOR ; Keogh, Eamonn. Flying Insect Classification with Inexpensive Sensors. Journal of Insect Behavior. v. 27, p. 657-677, issn: 0892-7553, 2014.
7.	CHERMAN, E. ; SPOLAOR, N. ; VALVERDE-REBAZA, J. ; MONARD, M. C.. Lazy Multi-label Learning Algorithms Based on Mutuality Strategies. Journal of Intelligent & Robotic Systems. p. 1-16, issn: 0921-0296, 2014.
8.	DA SILVA CONRADO, MERLEY ; FELIPPO, ARIANI ; SALGUEIRO PARDO, THIAGO ; REZENDE, SOLANGE. A survey of automatic term extraction for Brazilian Portuguese. Journal of The Brazilian Computer Society (Online). v. 20, p. 12, issn: 1678-4804, 2014.
9.	DOMINGUES, MARCOS ; SOARES, CARLOS ; JORGE, ALÍPIO ; REZENDE, SOLANGE. A data warehouse to support web site automation. JOURNAL OF THE BRAZILIAN COMPUTER SOCIETY (ONLINE). v. 20, p. 11, issn: 1678-4804, 2014.
10.	PINTO, R. ; BERNARDINI, F. C. ; MARCACINI, R. M. ; Rezende, S. O.. Um novo método para a categorização de planos de projeto. RBGP. Revista Brasileira de Gerenciamento de Projetos. v. 13, p. 37-41, issn: 1679-902X, 2014.
11.	Prati, Ronaldo C. ; Batista, Gustavo E. A. P. A. ; SILVA, DIEGO F.. Class imbalance revisited: a new experimental setup to assess the performance of treatment methods. Knowledge and Information Systems (Print). v. 45, p. 247-270, issn: 0219-1377, 2014.
12.	ROSSI, R. G. ; MARCACINI, R. M. ; Rezende, S. O.. Analysis of Domain Independent Statistical Keyword Extraction Methods for Incremental Clustering. LEARNING AND NONLINEAR MODELS. v. 12, p. 17-37, issn: 1676-2789, 2014.
13.	ROSSI, RAFAEL GERALDELI ; DE ANDRADE LOPES, ALNEU ; DE PAULO FALEIROS, THIAGO ; REZENDE, SOLANGE OLIVEIRA. Inductive Model Generation for Text Classification Using a Bipartite Heterogeneous Network. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY. v. 29, p. 361-375, issn: 1000-9000, 2014.
14.	TOMAS, J. T. ; SPOLAOR, N. ; CHERMAN, E. ; MONARD, M. C.. A Framework to Generate Synthetic Multi-label Datasets. Electronic Notes in Theoretical Computer Science. v. 302, p. 155-176, issn: 1571-0661, 2014.
15.	VEGA-OLIVEROS, DIDIER A ; BERTON, LILIAN ; EBERLE, ANDRE MANTINI ; Lopes, Alneu de Andrade ; Zhao, Liang. Regular graph construction for semi-supervised learning. Journal of Physics. Conference Series (Online). v. 490, p. 012022, issn: 1742-6596, 2014.

2013

1.	Batista, Gustavo E. A. P. A.; KEOGH, EAMONN J. ; TATAW, OBEN MOSES ; SOUZA, VINÍCIUS M. A.. CID: an efficient complexity-invariant distance for time series. Data Mining and Knowledge Discovery. v. 28, p. 634-669, issn: 1384-5810, 2013.
2.	Bertini, João Roberto ; Zhao, Liang ; LOPES, ALNEU A.. An incremental learning algorithm based on the K-associated graph for non-stationary data classification. Information Sciences. v. 246, p. 52-68, issn: 0020-0255, 2013.
3.	CINTRA, M. E. ; MONARD, M. C. ; Camargo, Heloisa A.. A Fuzzy Decision Tree Algorithm Based on C4.5. Mathware & Soft Computing. v. 20, p. 56-62, issn: 1134-5632, 2013.
4.	COSTA, J. M. H. ; AMARAL, C. S. T. ; ROZENFELD, H. ; MARCACINI, R. M. ; Rezende, S. O.. Systematization of Recurrent New Product Development Management Problems. Engineering Management Journal. v. 25, p. 19-34, issn: 1042-9247, 2013.
5.	DEL GAUDIO, ROSA ; Batista, Gustavo ; BRANCO, ANTÓNIO. Coping with highly imbalanced datasets: A case study with definition extraction in a multilingual setting. Natural Language Engineering (Print). v. 20, p. 327-359, issn: 1351-3249, 2013.
6.	NOGUEIRA, T. M. ; REZENDE, S. O. ; CAMARGO, H. A.. Fuzzy-DDE: a fuzzy method for the extraction of document cluster descriptors. INTERNATIONAL JOURNAL OF COMPUTER INFORMATION SYSTEMS AND INDUSTRIAL MANAGEMENT APPLICATIONS. v. 5, p. 472-479, issn: 2150-7988, 2013.
7.	SILVA, DIEGO FURTADO; SOUZA, VINÍCIUS MOURÃO ALVES DE ; BATISTA, GUSTAVO ENRIQUE ALMEIDA PRADO ALVES. A comparative study between MFCC and LSF coefficients in automatic recognition of isolated digits pronounced in Portuguese and English - doi: 10.4025/actascitechnol.v35i4.19825. Acta Scientiarum. Technology (Impresso). v. 35, p. 621-628, issn: 1807-8664, 2013.
8.	SPOLAOR, N. ; CHERMAN, E. ; MONARD, M. C. ; LEE, H. D.. A Comparison of Multi-label Feature Selection Methods using the Problem Transformation Approach. Electronic Notes in Theoretical Computer Science. v. 292, p. 135-151, issn: 1571-0661, 2013.
9.	Thanawin Rakthanmanon ; Campana, B. J. L. ; Mueen, Abdullah ; Batista, Gustavo Enrique Almeida Prado Alves ; Westover, Brandon ; Qiang Zhu ; Zakaria, Jesin ; Keogh, Eamonn. Addressing Big Data Time Series: Mining Trillions of Time Series Subsequences Under Dynamic Time Warping. ACM T KNOWL DISCOV D. v. 7, p. 10, issn: 1556-4681, 2013.
10.	VALVERDE-REBAZA, JORGE ; Andrade Lopes, Alneu. Exploiting behaviors of communities of twitter users for link prediction. Social Network Analysis and Mining. v. 3, p. 1063-1074, issn: 1869-5450, 2013.

2012

1.	Bertini, João Roberto ; Lopes, Alneu de Andrade ; Zhao, Liang. Partially labeled data stream classification with the semi-supervised K-associated graph. Journal of The Brazilian Computer Society (Online). v. 18, p. 1-12, issn: 1678-4804, 2012.
2.	CARVALHO, Veronica Oliveira de ; Santos, F. F. ; REZENDE, S. O.. PAR-COM: A New Methodology for Post-processing Association Rules. Lecture Notes in Business Information Processing. v. 102, p. 66-80, issn: 1865-1348, 2012.
3.	CHERMAN, E. ; METZ, Jean ; MONARD, M. C.. Incorporating label dependency into the binary relevance framework for multi-label classification. Expert Systems with Applications. v. 39, p. 1647-1655, issn: 0957-4174, 2012.
4.	Martins, Rafael Messias ; Andery, Gabriel Faria ; Heberle, Henry ; Paulovich, Fernando Vieira ; Andrade Lopes, Alneu ; Pedrini, Helio ; MINGHIM, Rosane. Multidimensional Projections for Visual Analysis of Social Networks. Journal of Computer Science and Technology. v. 27, p. 791-810, issn: 1000-9000, 2012.
5.	PRATI, R. C. ; BATISTA, G. E. A. P. A.. A Complexity-Invariant Measure Based on Fractal Dimension for Time Series Classification. International Journal of Natural Computing Research. v. 3, p. 59-73, issn: 1947-928X, 2012.
6.	Santos, F. F. ; CARVALHO, Veronica Oliveira de ; REZENDE, S. O.. Improving hierarchical document cluster labels through candidate term selection. INTELLIGENT DECISION TECHNOLOGIES. v. 6, p. 43-58, issn: 1872-4981, 2012.

2011

1.	Bertini, João Roberto ; Zhao, Liang ; Motta, Robson ; Lopes, Alneu de Andrade. A nonparametric classification method based on K-associated graphs. Information Sciences. v. 181, p. 5435-5456, issn: 0020-0255, 2011.
2.	CHERMAN, E. ; MONARD, M. C. ; METZ, Jean. Multi-label Problem Transformation Methods: a Case Study. CLEI Electronic Journal. v. 14, p. 1-10, issn: 0717-5000, 2011.
3.	KOZA, W. A. ; Solana, Z. ; CONRADO, M. S. ; REZENDE, S. O. ; Pardo, T. A. S. ; DIAZ-LABRADO, J. ; Abaitua, J.. Extracción terminológica en el dominio médico a partir del reconocimiento de sintagmas nominales. Revista de Lingüística Informática,Modelización e Ingeniería Lingüística (Revista Infosur). v. 5, p. 27-40, issn: 1851-1996, 2011.
4.	Milare, C. R. ; BATISTA, G. E. A. P. A. ; Carvalho, A. C. P. L. F.. A hybrid approach to learn with imbalanced classes using evolutionary algorithms. Logic Journal of the IGPL (Print). v. 19, p. 293-303, issn: 1367-0751, 2011.
5.	Nogueira, Tatiane Marques ; CAMARGO, H. A. ; REZENDE, S. O.. Fuzzy Rules for Document Classification to Improve Information Retrieval. INTERNATIONAL JOURNAL OF COMPUTER INFORMATION SYSTEMS AND INDUSTRIAL MANAGEMENT APPLICATIONS. v. 3, p. 210-217, issn: 2150-7988, 2011.
6.	Prati, Ronaldo C. ; Batista, Gustavo E. A. P. A. ; MONARD, Maria Carolina. A Survey on Graphical Methods for Classification Predictive Performance Evaluation. IEEE Transactions on Knowledge and Data Engineering (Print). v. 23, p. 1601-1618, issn: 1041-4347, 2011.
7.	REZENDE, S. O.; Marcacini, R. M. ; MOURA, Maria Fernanda. O uso da Mineração de Textos para Extração e Organização não Supervisionada de Conhecimento. Revista de Sistemas de Informação da FSMA. v. 1, p. 7-21, issn: 1983-5604, 2011.

Trabalhos completos publicados em anais de congressos

2025

2024

1.	COUTO, MATHEUS L. DO ; CARMO, FERNANDO A. DO ; JACOB JR, ANTONIO F. L. ; MARCACINI, RICARDO M. ; LOBATO, FÁBIO M. F.. Characterization of co-authorship networks of CNPq productivity fellows: an approach based on data science. Em: Symposium on Knowledge Discovery, p. 113, 2024.
2.	DE LIMA, VITOR MESAQUE ALVES ; MARCACINI, RICARDO MARCONDES. Opinion Mining for App Reviews: Identifying and Prioritizing Emerging Issues for Software Maintenance and Evolution. Em: SBQS 2024: XXIII Brazilian Symposium on Software Quality, p. 687, 2024.
3.	DOS SANTOS, NÍCOLAS ROQUE ; MINATEL, DIEGO ; VALEJO, ALAN DEMÉTRIUS BARIA ; de Andrade Lopes, Alneu. Semi-Supervised Coarsening of Bipartite Graphs for Text Classification via Graph Neural Network. Em: 2024 IEEE 11th International Conference on Data Science and Advanced Analytics (DSAA), p. 1-10, 2024.
4.	FERNANDEZ, J. O. ; PONTES, A. S. ; REZENDE, SOLANGE ; LOBATO, F. M. F.. Artificial Intelligence in the Spotlight: A Study of Brazilian News Coverage. Em: Encontro Nacional de Inteligência Artificial e Computacional (ENIAC), v. 1, p. 858-869, 2024.
5.	FERNANDEZ, J. O. ; PONTES, A. S. ; REZENDE, SOLANGE O. ; JACOB JUNIOR, A. F. L. ; LOBATO, F. M. F.. An analysis of Brazilian journalistic coverage of complaints platforms. Em: 9th International Workshop on Integrated Social CRM (iCRM 2024), v. 3, p. 491-496, 2024.
6.	FUJIMOTO, M. L. ; GASETA, M. ; REZENDE, S. O. ; ROMERO, R. A. F.. How to identify Cyberbullying with Machine Learning. Em: Symposium on Knowledge Discovery, v. 1, p. 41-48, 2024.
7.	M. JUNIOR, J. G. B. ; MITRI, A. G. ; SILVA, D. F.. Semi-Periodic Activation for Time Series Classification. Em: Brazilian Conference on Intelligent Systems, 2024.
8.	MATOS, SAULO N. ; COLETTI, OTÁVIO F. ; ZIMMER, RAFAEL ; FILHO, FERNANDO U. ; DE CARVALHO, RICARDO C.C. L. ; DA SILVA, VICTOR R. ; FRANCO, JORGE L. ; PINTO, THOMAS V. B. ; DE BARROS, LUIZ G. D. ; RANIERI, CAETANO M. ; LOPES, BRUNO E. ; SILVA, DIEGO F. ; UEYAMA, JÓ ; PESSIN, GUSTAVO. Machine Learning Techniques for Improving Multiclass Anomaly Detection on Conveyor Belts. Em: 2024 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), p. 1, 2024.
9.	MESAQUE ALVES DE LIMA, VITOR ; RODRIGUES BARBOSA, JACSON ; MARCONDES MARCACINI, RICARDO. Monitoring Temporal Dynamics of Issues in Crowdsourced User Reviews and their Impact on Mobile App Updates. Em: 2024 IEEE International Conference on Software Maintenance and Evolution (ICSME), p. 630, 2024.
10.	SILVA, L. N. S. ; SILVA, D. F. ; CASELI, H. M.. Evaluating Sentiment Quantification Methods in Brazilian Portuguese Corpora. Em: Brazilian Conference on Intelligent Systems, 2024.
11.	SILVA, R. C. ; SILVA, D. F.. Tackling Low-Resource ECG classification with SSL Pre-trained Models. Em: Brazilian Conference on Intelligent Systems, 2024.

2023

1.	AKIHITO, V. ; MARCACINI, R. M.. Cluster Fusion Training: Explorando Análise de Agrupamentos para Melhorar Classificação de Sentimentos em Domínios Cruzados. Em: Encontro Nacional de Inteligência Artificial e Computacional (ENIAC), 2023.
2.	COUTINHO, G. N. ; MARCACINI, R. M.. Multimodal Audio Emotion Recognition with Graph-based Consensus Pseudolabeling. Em: Encontro Nacional de Inteligência Artificial e Computacional (ENIAC), 2023.
3.	DE MORAES, MARCELO ISAIAS ; MARCACINI, RICARDO MARCONDES. On the Use of Aggregation Functions for Semi-Supervised Network Embedding. Em: 2023 International Joint Conference on Neural Networks (IJCNN), p. 1, 2023.
4.	DO CARMO, PAULO VIVIURKA ; MARX, EDGARD ; MARCACINI, RICARDO ; VALLI, MARILIA ; SILVA E SILVA, JOÃO VICTOR ; PILON, ALAN. NatUKE: A Benchmark for Natural Product Knowledge Extraction from Academic Literature. Em: 2023 IEEE 17th International Conference on Semantic Computing (ICSC), p. 199, 2023.
5.	GÔLO, MARCOS PAULO SILVA ; DE MORAES, MARCELO ISAIAS ; GOULARTE, RUDINEI ; MARCACINI, RICARDO MARCONDES. On the Use of Early Fusion Operators on Heterogeneous Graph Neural Networks for One-Class Learning. Em: WebMedia '23: Brazilian Symposium on Multimedia and the Web, p. 128, 2023.
6.	LEITE, J. A. ; SCARTON, C. E. ; SILVA, D. F.. Noisy Self-Training with Data Augmentations for Offensive and Hate Speech Detection Tasks. Em: Recent Advances in Natural Language Processing, 2023.
7.	LIMA, VITOR MESAQUE ALVES DE ; BARBOSA, JACSON RODRIGUES ; MARCACINI, RICARDO MARCONDES. MApp-IDEA: Monitoring App for Issue Detection and Prioritization. Em: SBES 2023: XXXVII Brazilian Symposium on Software Engineering, p. 180, 2023.
8.	MINATEL, DIEGO ; DA SILVA, ANGELO CESAR MENDES ; DOS SANTOS, NÍCOLAS ROQUE ; CURI, MARIANA ; MARCACINI, RICARDO MARCONDES ; LOPES, ALNEU DE ANDRADE. Data stratification analysis on the propagation of discriminatory effects in binary classification. Em: Symposium on Knowledge Discovery, p. 73, 2023.
9.	MINATEL, DIEGO ; DOS SANTOS, NÍCOLAS ROQUE ; DA SILVA, ANGELO CESAR MENDES ; CÚRI, MARIANA ; MARCACINI, RICARDO MARCONDES ; LOPES, ALNEU DE ANDRADE. Unfairness in Machine Learning for Web Systems Applications. Em: WebMedia '23: Brazilian Symposium on Multimedia and the Web, p. 144, 2023.
10.	MINATEL, DIEGO ; PARMEZAN, ANTONIO R. S. ; CÚRI, MARIANA ; de Andrade Lopes, Alneu. Fairness-Aware Model Selection Using Differential Item Functioning. Em: 2023 International Conference on Machine Learning and Applications (ICMLA), p. 1971-1979, 2023.
11.	OSAKU, D. ; CAMARGO, R. G. M. ; MARTINS, I. P. ; RIBEIRO, E. M. S. ; DELBEM, A. C. B. ; DOMENE, S. M. A. ; Marcacini, R. M. ; Solange Oliveira Rezende. Gestão de Dados de Políticas Públicas: o caso da avaliação de cardápios da Alimentação Escolar usando mineração de textos. Em: Anais do XIV Congresso Brasileiro de Agroinformática, p. 206-203, 2023.
12.	OSAKU, D. ; SANTOS, P. M. ; SANTOS, B. N. ; Solange Oliveira Rezende. Pasture degradation papers search: how can supervised and transdutive methods help on the process of classification?. Em: Anais do XX Encontro Nacional de Inteligência Artificial e Computacional, p. 403-417, 2023.
13.	SANTOS, BRUNA ZAMITH ; ARAUJO SORIANO, BALBINA MARIA ; NARCISO, MARCELO GONÇALVES ; SILVA, DIEGO FURTADO ; CERRI, Ricardo. A New Time Series Framework for Forest Fire Risk Forecasting and Classification. Em: 2023 International Joint Conference on Neural Networks (IJCNN), p. 1, 2023.
14.	SILVA, DIEGO F.; DE M, JOSÉ G. B. ; DOMINGUES, LUCAS V. ; MAZZU-NASCIMENTO, THIAGO. Hemoglobin Estimation from Smartphone-Based Photoplethysmography with Small Data. Em: 2023 IEEE 36th International Symposium on ComputerBased Medical Systems (CBMS), p. 75, 2023.

2022

1.	CORVINO, GABRIEL ; OLIVEIRA, VITOR VASCONCELOS ; MENDES DA SILVA, ANGELO C. ; MARCACINI, RICARDO MARCONDES. On the use of Query by Committee for Human-in-the-Loop Named Entity Recognition. Em: Symposium on Knowledge Discovery, p. 106, 2022.
2.	DA SILVA, F. X. B. ; GUIMARÃES, G. M. C. ; MARCACINI, R. M. ; QUEIROZ, A. L. ; R. P. BORGES, V. ; FALEIROS, T. P. ; GARCIA, L. P. F.. Named Entity Recognition Approaches Applied to Legal Document Segmentation. Em: Symposium on Knowledge Discovery, p. 210, 2022.
3.	GÔLO, MARCOS P. S. ; MORAES, LEONARDO G. ; GOULARTE, RUDINEI ; MARCACINI, RICARDO M.. One-Class Recommendation through Unsupervised Graph Neural Networks for Link Prediction. Em: Symposium on Knowledge Discovery, p. 146, 2022.
4.	MENDES DA SILVA, ANGELO CESAR ; GÔLO, MARCOS PAULO SILVA ; MARCACINI, RICARDO MARCONDES. Unsupervised Heterogeneous Graph Neural Network for Hit Song Prediction through One Class Learning. Em: Symposium on Knowledge Discovery, p. 202, 2022.
5.	MORAES, LEONARDO ; MARCACINI, RICARDO MARCONDES ; GOULARTE, RUDINEI. Video Summarization using Text Subjectivity Classification. Em: WebMedia '22: Brazilian Symposium on Multimedia and Web, p. 133, 2022.
6.	REIS FILHO, I. ; MARTINS, L. H. D. ; PARMEZAN, A. R. S. ; MARCACINI, R. M. ; REZENDE, S. O.. Sequential Short-Text Classification from Multiple Textual Representations with Weak Supervision. Em: Brazilian Conference on Intelligent Systems, 2022.
7.	RODRIGUES, ANA CAROLINA ; MARCACINI, RICARDO M.. Sentence Similarity Recognition in Portuguese from Multiple Embedding Models. Em: 2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA), p. 154, 2022.
8.	SILVA, A. C. M. ; SILVA, D. F. ; MARCACINI, R. M.. Heterogeneous Graph Neural Network for Music Emotion Recognition. Em: 23rd International Society for Music Information Retrieval Conference (ISMIR 2022), 2022.
9.	SILVA, D. F.; DA SILVA, ANGELO CESAR MENDES ; ORTOLAN, L. F. ; MARCACINI, R. M.. On Generalist and Domain-Specific Music Classification Models and Their Impacts on Brazilian Music Genre Recognition. Em: Brazilian Symposium on Computer Music, 2022.

2021

1.	ARAUJO, A. ; MARCACINI, R. M.. RE-BERT: Automatic Extraction of Software Requirements from App Reviews using BERT Language Model. Em: The 36th ACM/SIGAPP Symposium On Applied Computing, p. 1321-1328, 2021.
2.	ARAUJO, A. ; MARCACINI, R. M.. Hierarchical Cluster Labeling of Software Requirements using Contextual Word Embeddings. Em: Brazilian Symposium on Software Engineering (SBES) - IIER TRACK, 2021.
3.	CRUZ, LORD FLAUBERT STEVE ATAUCURI ; SILVA, DIEGO FURTADO. Financial Time Series Forecasting Enriched with Textual Information. Em: 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA), p. 385, 2021.
4.	DO CARMO, PAULO ; MARCACINI, RICARDO. Embedding propagation over heterogeneous event networks for link prediction. Em: 2021 IEEE International Conference on Big Data (Big Data), p. 4812, 2021.
5.	DOS SANTOS SILVA, LUCAS NILDAIMON ; SILVA, LUCAS CARDOSO ; ZAGATTI, FERNANDO REZENDE ; SETTE, BRUNO SILVA ; DE MEDEIROS CASELI, HELENA ; LUCREDIO, DANIEL ; SILVA, DIEGO FURTADO. CurL-AutoML: Curriculum Learning-based AutoML. Em: 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA), p. 766, 2021.
6.	FERNANDES, ROBSON ; Lopes, Alneu. Bayesian networks applied to sales forecasting in a large Brazilian fast-food chain. Em: ANAIS DO I WORKSHOP DE MATEMáTICA, 2021.
7.	GOLO, M. ; ROSSI, R. G. ; MARCACINI, R. M.. Triple-VAE: A Triple Variational Autoencoder to Represent Events in One-Class Event Detection. Em: ENCONTRO NACIONAL DE INTELIGÊNCIA ARTIFICIAL E COMPUTACIONAL, 2021.
8.	GÔLO, MARCOS ; CARAVANTI, MARIANA ; ROSSI, RAFAEL ; REZENDE, SOLANGE ; NOGUEIRA, BRUNO ; MARCACINI, RICARDO. Learning Textual Representations from Multiple Modalities to Detect Fake News Through One-Class Learning. Em: Brazilian Symposium on Multimedia and the Web (WebMedia '21), v. 1, p. 197-204, 2021.
9.	MATTOS, JOAO PEDRO RODRIGUES ; MARCACINI, RICARDO M.. Semi-Supervised Graph Attention Networks for Event Representation Learning. Em: 2021 IEEE International Conference on Data Mining (ICDM), p. 1234, 2021.
10.	OLIVEIRA, G. L. ; MARCACINI, R. M. ; PIMENTEL, M. G. C.. Privacy-Preserving Heterogeneous Network Embedding for Clinical Events. Em: Graph Neural Networks and Systems Workshop at Fourth Conference on Machine Learning and Systems, p. 1-7, 2021.
11.	REIS FILHO, I. J. ; Marcacini, R. M. ; REZENDE, SOLANGE OLIVEIRA. Previsão do preço futuro de commodities agrícolas: um estudo para enriquecer séries temporais. Em: Simpósio Brasileiro de Automação Inteligente (SBAI 21), v. 1, p. 1-10, 2021.
12.	SETTE, BRUNO S. ; SILVA, LUCAS C. ; ZAGATT, FERNANDO R. ; SILVA, LUCAS N. S. ; LUCREDIO, DANIEL ; CASELI, HELENA M. ; SILVA, DIEGO F.. Committee of NAS-based models. Em: 2021 International Joint Conference on Neural Networks (IJCNN), p. 1, 2021.
13.	SILVA, A. C. M. ; CARMO, P. R. V. ; SILVA, D. F. ; MARCACINI, R. M.. Instance Selection for Music Genre Classification using Heterogeneous Networks. Em: Brazilian Symposium on Computer Music, 2021.
14.	SILVA, D. F.; SILVA, A. M. E. ; LOPES, B. M. ; JOHANSSON, K. M. ; ASSI, F. M. ; JESUS, J. T. C. ; MAZO, R. N. ; LUCREDIO, D. ; CASELI, H. M. ; REAL, L.. Named Entity Recognition for Brazilian Portuguese Product Titles. Em: Brazilian Conference on Intelligent Systems, 2021.
15.	SILVA, D. F.; SILVA, M. V. ; SZRAM FILHO, R. ; SILVA, A. C. M.. Fusion of Multiple Audio Representations for Music Genre Classification. Em: Brazilian Symposium on Computer Music, 2021.
16.	SOUZA, M. C. ; NOGUEIRA, B. M. ; ROSSI, R. G. ; MARCACINI, R. M. ; Rezende, S. O.. A Heterogeneous Network-based Positive and Unlabeled Learning Approach to Detecting Fake News. Em: Brazilian Conference on Intelligent System (BRACIS), 2021.
17.	XAVIER, F. L. S. ; SCHEICHER, R. B. ; REZENDE, S. O.. Right to information in the era of artificial intelligence in Brazil. In: 26th World Congress of Political Science (New Nationalisms in an Open World), 2021, Lisbon. Em: 26th World Congress of Political Science. Conference Proceedings Library, v. 1, p. 1-18, 2021.
18.	ZAGATTI, FERNANDO REZENDE ; SILVA, LUCAS CARDOSO ; DOS SANTOS SILVA, LUCAS NILDAIMON ; SETTE, BRUNO SILVA ; CASELI, HELENA DE MEDEIROS ; LUCREDIO, DANIEL ; SILVA, DIEGO FURTADO. MetaPrep: Data preparation pipelines recommendation via meta-learning. Em: 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA), p. 1197, 2021.

2020

1.	ARAGAO DA SILVA, YURI GABRIEL ; FURTADO SILVA, DIEGO. On Convolutional Autoencoders to Speed Up Similarity-Based Time Series Mining. Em: 2020 IEEE International Conference on Big Data (Big Data), p. 4769, 2020.
2.	ARAUJO, A. ; GOLO, M. ; VIANA, B. ; SANCHES, F. ; Romero, R. A. F. ; MARCACINI, R. M.. From Bag-of-Words to Pre-trained Neural Language Models: Improving Automatic Classification of App Reviews for Requirements Engineering. Em: XVII ENCONTRO NACIONAL DE INTELIGÊNCIA ARTIFICIAL E COMPUTACIONAL, p. 379-389, 2020.
3.	CARDOSO SILVA, LUCAS ; REZENDE ZAGATTI, FERNANDO ; SILVA SETTE, BRUNO ; NILDAIMON DOS SANTOS SILVA, LUCAS ; LUCREDIO, DANIEL ; FURTADO SILVA, DIEGO ; DE MEDEIROS CASELI, HELENA. Benchmarking Machine Learning Solutions in Production. Em: 2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA), p. 626-633, 2020.
4.	CINTRA, DIEGO ; Valejo, Alan ; Lopes, Alneu ; OLIVEIRA, MARIA. Visualization to Assist Interpretation of the Multilevel Paradigm in Bipartite Graphs. Em: 11th International Conference on Information Visualization Theory and Applications, p. 133, 2020.
5.	DA SILVA, ANGELO CESAR MENDES ; SILVA, DIEGO FURTADO ; MARCACINI, RICARDO MARCONDES. 4MuLA: A Multitask, Multimodal, and Multilingual Dataset of Music Lyrics and Audio Features. Em: Brazilian Symposium on Multimedia and the Web, 2020.
6.	FALCAO, F. V. ; ANDRADE, N. ; FIGUEIREDO, F. ; SILVA, D. F. ; MORAIS, F.. Measuring disruption in song similarity networks. Em: International Society for Music Information Retrieval Conference, 2020.
7.	LEITE, J. A. ; SILVA, D. F. ; SCARTON, C. E. ; BONTCHEVA, K.. Toxic Language Detection in Social Media for Brazilian Portuguese: New Dataset and Multilingual Analysis. Em: International Joint Conference on Natural Language Processing, 2020.
8.	OLIVEIRA DE CARVALHO, VERONICA ; REZENDE, SOLANGE ; DALL?AGNOL, MAICON ; RONDADO DE SOUZA, LEANDRO ; DE PADUA, RENAN. Dropout through Extended Association Rule Netwoks: A Complementary View. Em: 12th International Conference on Computer Supported Education, v. 1, p. 89-96, 2020.
9.	ORTOLAN, L. F. ; SILVA, D. F.. Knowledge Discovery in Brazilian Soccer Championship Scout Data. Em: Encontro Nacional de Inteligência Artificial e Computacional, 2020.
10.	PARMEZAN, A. S. ; SILVA, D. F. ; BATISTA, G. E. A. P. A.. A combination of local approaches for hierarchical music genre classification. Em: International Society for Music Information Retrieval Conference, 2020.
11.	PETRI, ANTONIO CARLOS FALCAO ; SILVA, DIEGO FURTADO. Towards logical association rule mining on ontology-based semantic trajectories. Em: 2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA), p. 586-591, 2020.
12.	REIS FILHO, I. J. ; CORREA, G. B. ; FREIRE, G. M. ; REZENDE, S. O.. Forecasting future corn and soybean prices: an analysis of the use of textual information to enrich time-series. Em: KDMiLe -Symposium on Knowledge Discovery, p. 113-120, 2020.
13.	SCARTON, C. E. ; SILVA, D. F. ; BONTCHEVA, K.. Measuring What Counts:The case of Rumour Stance Classification. Em: International Joint Conference on Natural Language Processing, 2020.
14.	UENO, C. L. R. S. ; BRAGA, I. A. ; SILVA, D. F.. Towards an Instance-Level Meta-Learning-Based Ensemble for Time Series Classification. Em: Brazilian Conference on Intelligent Systems, 2020.

2019

1.	CARDOSO, V. C. ; SILVA, A. F. M. ; SINOARA, R. A. ; REZENDE, S. O. ; CALCADA, D. B.. Detecting Suicidal Ideation on Tweets. Em: XVI Encontro Nacional de Inteligência Artificial e Computacional (ENIAC), p. 178-189, 2019.
2.	E. DELAMARO, MÁRCIO ; REZENDE, SOLANGE ; SOARES, FREDERICO ; RODRIGUES BARBOSA, JACSON ; M. R. VINCENZI, AURI ; BRITTO, RICARDO ; MARCONDES MARCACINI, RICARDO. BULNER: BUg Localization with word embeddings and NEtwork Regularization. Em: VII Workshop on Software Visualization, p. 21-28, 2019.
3.	FERREIRA, VINICIUS ; Valejo, Alan ; de Andrade Lopes, Alneu. A Scalability Approach Based on Multilevel Optimization for Link Prediction Methods. Em: 2019 8th Brazilian Conference on Intelligent Systems (BRACIS), p. 365, 2019.
4.	GÔLO, MARCOS ; MARCACINI, RICARDO ; ROSSI, RAFAEL. Uma extensa avaliação empírica de técnicas de pré-processamento e algoritmos de aprendizado supervisionado de uma classe para classificação de texto. Em: Encontro Nacional de Inteligência Artificial e Computacional, p. 262, 2019.
5.	MALETZKE, ANDRÉ ; dos Reis, Denis ; Cherman, Everton ; Batista, Gustavo E.. DyS: A Framework for Mixture Models in Quantification. Em: AAAI Conference on Artificial Intelligence, v. 33, p. 4552-4560, 2019.
6.	MINATEL, DIEGO ; FERREIRA, VINICIUS ; Andrade Lopes, Alneu. A Multilevel Approach for Building Location-Based Social Network by using Stay Points. Em: 2019 8th Brazilian Conference on Intelligent Systems (BRACIS), p. 359, 2019.
7.	RODRIGUES TONON, VITOR ; CARVALHO OLIVEIRA, CINTIA ; CARVALHO OLIVEIRA, DANIELE ; DE ANDRADE LOPES, ALNEU ; AKEMI SINOARA, ROBERTA ; MARCONDES MARCACINI, RICARDO ; OLIVEIRA REZENDE, SOLANGE. Improving Recommendations by Using a Heterogeneous Network and User's Reviews. Em: 2019 8th Brazilian Conference on Intelligent Systems (BRACIS), p. 639-644, 2019.
8.	SANTOS, BRUCCE NEVES ; MARCACINI, RICARDO M. ; REZENDE, SOLANGE O.. A Sampling-Based Framework for Transductive Classification in Information Networks. Em: 2019 8th Brazilian Conference on Intelligent Systems (BRACIS), p. 657-662, 2019.
9.	SCHEICHER, RICARDO B. ; SINOARA, ROBERTA A. ; FELINTO, JONAS C. ; REZENDE, SOLANGE O.. Sentiment classification improvement using semantically enriched information. Em: the ACM Symposium, p. 1, 2019.
10.	TONON, VITOR ; SILVA, TIAGO ; SILVA, VÍNICIUS ; PEREIRA, GEAN ; REZENDE, SOLANGE. Avaliação de Representações Vetoriais de Revisões de Usuários em Sistemas de Recomendação. Em: XVI Encontro Nacional de Inteligência Artificial e Computacional, v. 1, p. 286-296, 2019.
11.	UENO, C. L. R. S. ; SILVA, D. F.. On Combining Diverse Models for Lyrics-Based Music Genre Classification. Em: Brazilian Conference on Intelligent Systems, 2019.
12.	VASQUES, D. G. ; MARTINS, P. S. ; REZENDE, S. O.. Identification of Keywords based on Artificial Inteligence for Knowledge Management. Em: 15th International Conference on Knowledge Management & 2nd International Seminar of Corporate Universities and Government Schools, p. 1-24, 2019.
13.	YESILER, F. ; TRALIE, C. ; CORREYA, A. ; SILVA, D. F. ; TOVSTOGAN, P. ; GOMEZ, E. ; SERRA, X.. Da-TACOS: A Dataset for Cover Song Identification and Understanding. Em: International Society for Music Information Retrieval Conference, 2019.

2018

1.	BERTON, LILIAN ; de Andrade Lopes, Alneu ; Vega-Oliveros, Didier A.. A Comparison of Graph Construction Methods for Semi-Supervised Learning. Em: 2018 International Joint Conference on Neural Networks (IJCNN), p. 1-8, 2018.
2.	CALCADA, D. B. ; Padua, R. ; REZENDE, S. O.. Asymmetric objective measures applied to filter Association Rules Networks. Em: XLIV Latin American Computing Conference, v. 1, p. 1-10, 2018.
3.	DE PADUA, RENAN ; BRITO CALCADA, DARIO ; OLIVEIRA DE CARVALHO, VERONICA ; OLIVEIRA REZENDE, SOLANGE. Exploring the Data Using Extended Association Rule Network. Em: 2018 7th Brazilian Conference on Intelligent Systems (BRACIS), v. 1, p. 330-6, 2018.
4.	DOS REIS, DENIS M. ; MALETZKE, ANDRÉ G. ; Batista, Gustavo E. A. P. A.. Unsupervised context switch for classification tasks on data streams with recurrent concepts. Em: the 33rd Annual ACM Symposium, p. 518-524, 2018.
5.	FARIAS, ALEX S. ; REZENDE, SOLANGE O. ; MARCACINI, RICARDO M.. A comparison of parameter selection measures for sensor learning from financial news events. Em: XV Encontro Nacional de Inteligência Artificial e Computacional, v. 1, p. 787-798, 2018.
6.	FURTADO SILVA, DIEGO ; E. A. P. A. BATISTA, GUSTAVO. Elastic Time Series Motifs and Discords. Em: 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA), p. 237-242, 2018.
7.	MALETZKE, ANDRÉ ; DOS REIS, DENIS M. ; CHERMAN, EVERTON A. ; BATISTA, GUSTAVO E.A.P.A.. On the Need of Class Ratio Insensitive Drift Tests for Data Streams. Em: Second International Workshop on Learning with Imbalanced Domains: Theory and Applications, v. 94, p. 110-124, 2018.
8.	Marcacini, R. M. ; CARVALHO, C. ; MUNDIM, M. S. ; COSTA, S. ; REZENDE, S. O.. Introducing the Websensors Georeferenced Event Dataset for Learning to Sense Applications. Em: XIX Brazilian Symposium on GeoInformatics, 2018.
9.	MAX, EDUARDO ZARATE ; MARCACINI, RICARDO MARCONDES ; MATSUBARA, EDSON TAKASHI. Improving Instance Selection via Metric Learning. Em: 2018 International Joint Conference on Neural Networks (IJCNN), p. 1-6, 2018.
10.	MINATEL, DIEGO ; Valejo, Alan ; LOPES, ALNEU A.. Trajectory Network Assessment Based on Analysis of Stay Points Cluster. Em: 2018 7th Brazilian Conference on Intelligent Systems (BRACIS), p. 564-569, 2018.
11.	MOREIRA DOS REIS, DENIS ; MALETZKE, ANDRÉ ; SILVA, DIEGO F. ; Batista, Gustavo E. A. P. A.. Classifying and Counting with Recurrent Contexts. Em: ACM SIGKDD Conference on Knowledge Discovery and Data Mining, p. 1983-1992, 2018.
12.	PADUA, R. ; CARVALHO, V. O. ; REZENDE, S. O. ; SILVA, D. F.. Exploring Musical Relations Using Association Rule Networks. Em: 2018 International Society for Music Information Retrieval Conference (ISMIR), p. 400-406, 2018.
13.	Padua, Renan ; CARMO, L. P. ; CARVALHO, Veronica Oliveira de ; Rezende, Solange Oliveira. An Analysis on Community Detection and Clustering Algorithms on the Post-Processing of Association Rules. Em: International Joint Conference on Neural Networks (IJCNN 2018), v. 1, p. 3178-3184, 2018.
14.	PAULA, P. H. L. ; REIS, W. S. ; Rezende, S. O. ; MARCACINI, R. M.. Agrupamento Hierárquico e Multivisão de Eventos por meio de Grafos de Consistência. Em: Symposium on Knowledge Discovery, v. 1, p. 164-171, 2018.
15.	RODRIGUES, L. S. ; REZENDE, S. O. ; MOURA, Maria Fernanda ; MARCACINI, R. M.. Agribusiness Time Series Forecasting using Perceptually Important Events. Em: XLIV Latin American Computing Conference (CLEI 2018), v. 1, p. 1-10, 2018.
16.	SANTANA, IGOR ANDRE ; SUNIGA, ABNER ; DONINI, JULIANO ; VACCARI SUNDERMANN, CAMILA ; OLIVEIRA REZENDE, SOLANGE ; AURELIO DOMINGUES, MARCOS. Transforming Geo-Referenced Data in Contextual Information for Context-Aware Recommender Systems. Em: 2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI), p. 528, 2018.
17.	Shiguihara-Juárez, Pedro Nelson ; MURRUGARA, N. ; Lopes, Alneu de Andrade. POS-tags features for Protein-Protein Interaction Extraction from Biomedical Articles. Em: 2018 IEEE XXV International Conference on Electronics, p. 1-3, 2018.
18.	SILVA, D. F.; FALCAO, F. V. ; ANDRADE, N.. Summarizing and Comparing Music Data and its Application on Cover Song Identification. Em: 2018 International Society for Music Information Retrieval Conference (ISMIR), 2018.
19.	SILVA, DIEGO F. ; BATISTA, GUSTAVO E.A.P.A. ; Keogh, E. J.. Large-Scale Similarity-Based Time Series Mining. Em: Concurso de Teses e Dissertações (CTD-SBC), v. 31, p. 1-6, 2018.
20.	SOUZA, VINICIUS ; PINHO, TIAGO ; Batista, Gustavo. Evaluating Stream Classifiers with Delayed Labels Information. Em: 2018 7th Brazilian Conference on Intelligent Systems (BRACIS), p. 408-413, 2018.
21.	SUNDERMANN, CAMILA ; ANTUNES, JOAO ; DOMINGUES, MARCOS ; REZENDE, SOLANGE. Exploration of Word Embedding Model to Improve Context-Aware Recommender Systems. Em: 2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI), p. 383, 2018.
22.	TONON, V. R. ; MARTINS, Camila Delefrate ; REZENDE, S. O.. Implementação e avaliação de sistemas de recomendação, tradicional e sensível ao contexto, baseados em técnicas de fatoração de matrizes. Em: Concurso Latino-americano de Trabalhos de Graduação (CLATG_CLEI_LACLO) np XLIV Latin American Computing Conference, v. 1, p. 66-75, 2018.
23.	VASQUES, D. G. ; REZENDE, S. O. ; MARTINS, P. S.. A Semantic Approach to Uncovering Implicit Relationships in Textual Databases. Em: XLIV Latin American Computing Conference, v. 1, p. 1-10, 2018.

2017

1.	BARBOSA, J. R. ; MATSUNO, I. P. ; GUIMARAES, E. R. ; REZENDE, S. O. ; VINCENZI, A. M. R. ; DELAMARO, M. E.. Mineração de Textos para Apoiar a Predição de Severidade de Relatórios de Incidentes: um Estudo de Viabilidade. Em: Simpósio Brasileiro de Qualidade de Software, v. 1, p. 89-103, 2017.
2.	Carvalho, V. O. ; PAULA, D. D. ; Pacheco, M. V. ; SANTOS, W. E. ; Padua, R. ; REZENDE, S. O.. Ranking Association Rules by Clustering through Interestingness. Em: 16th Mexican International Conference on Artificial Intelligence (MICAI), v. 1, p. 1-10, 2017.
3.	DAU, HOANG ANH ; SILVA, DIEGO FURTADO ; PETITJEAN, FRANCOIS ; FORESTIER, GERMAIN ; BAGNALL, ANTHONY ; KEOGH, EAMONN. Judicious setting of Dynamic Time Warping's window width allows more accurate classification of time series. Em: 2017 IEEE International Conference on Big Data (Big Data), p. 917, 2017.
4.	EUSTAQUIO, F. ; CAMARGO, H. A. ; REZENDE, S. O. ; NOGUEIRA, T. M.. On Fuzzy Cluster Validity Indexes for High Dimensional Feature Space. Em: The 10th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT),, v. 1, p. 1-10, 2017.
5.	FLORENCE, RONALDO ; NOGUEIRA, BRUNO ; MARCACINI, RICARDO. Constrained Hierarchical Clustering for News Events. Em: the 21st International Database Engineering & Applications Symposium, p. 49-56, 2017.
6.	MALETZKE, ANDRE G. ; DOS REIS, DENIS M. ; BATISTA, GUSTAVO E.A.P.A.. Quantification in Data Streams: Initial Results. Em: 2017 Brazilian Conference on Intelligent Systems (BRACIS), p. 43-48, 2017.
7.	MARCACINI, R. M.; ROSSI, R. G. ; NOGUEIRA, B. M. ; MARTINS, L. V. C. ; CHERMAN, E. A. ; Rezende, S. O.. Websensors Analytics: Learning to sense the real world using web news events. Em: Workshop de Ferramentas e Aplicações (WFA) 2017 - Simpósio Brasileiro de Sistemas Multimídia e Web (WebMedia, v. 1, p. 169-173, 2017.
8.	NOGUEIRA, BRUNO MAGALHAES ; BENEVIDES TOMAS, YURI KARAN ; MARCACINI, RICARDO MARCONDES. Integrating distance metric learning and cluster-level constraints in semi-supervised clustering. Em: 2017 International Joint Conference on Neural Networks (IJCNN), p. 4118-4125, 2017.
9.	Puma, R. ; Lopes, Alneu de Andrade. Reconstructing uncertain pedestrian trajectories from low-sampling-rate observations. Em: SIMBig 2017 Symposium on Information Management and Big Data, v. 2029, p. 161-167, 2017.
10.	SANTOS, BRUCCE NEVES DOS ; ROSSI, RAFAEL GERALDELI ; MARCACINI, RICARDO MARCONDES. Transductive Event Classification through Heterogeneous Networks. Em: 23rd Brazillian Symposium on Multimedia and the Web, p. 285-292, 2017.
11.	SHIGUIHARA, P. ; SANCHEZ, D. ; Lopes, Alneu de Andrade. Approaches based on tree-structures classifiers to protein fold prediction. Em: 2017 IEEE XXIV International Conference on Electronics, p. 1-2, 2017.
12.	SINOARA, ROBERTA A. ; SCHEICHER, RICARDO B. ; REZENDE, SOLANGE O.. Evaluation of latent dirichlet allocation for document organization in different levels of semantic complexity. Em: 2017 IEEE Symposium Series on Computational Intelligence (SSCI), v. 1, p. 1-8, 2017.
13.	Valejo, Alan ; FERREIRA, V. ; FILHO, G. ; de Oliveira, Maria Cristina F. ; Lopes, Alneu de Andrade. One-mode Projection-based Multilevel Approach for Community Detection in Bipartite Networks. Em: SIMBig 2017 Symposium on Information Management and Big Data, v. 2029, p. 101-108, 2017.
14.	VASQUES, D. G. ; COMELLI, L. ; RANIERI, C. M ; REZENDE, S. O.. Mineração de Textos para Gestão de Clientes em Empresas de Telecomunicações. Em: XIII Brazilian Symposium on Information Systems, 2017.

2016

1.	BERTON, L. ; Vega-Oliveros, Didier A. ; VALVERDE-REBAZA, JORGE ; da Silva, Andre Tavares ; Lopes, Alneu de Andrade. The Impact of Network Sampling on Relational Classification. Em: 3rd Annual International Symposium on Information Management and Big Data - SIMBig 2016, p. 62-72, 2016.
2.	CARVALHO, NILTON V. ; REZENDE, SOLANGE O. ; CAMARGO, HELOISA A. ; NOGUEIRA, TATIANE M.. Flexible document organization by mixing fuzzy and possibilistic clustering algorithms. Em: 2016 IEEE International Conference on Fuzzy Systems (FUZZIEEE), v. 1, p. 790, 2016.
3.	CARVALHO, Veronica Oliveira de ; Padua, R. ; REZENDE, SOLANGE. Solving the Problem of Selecting Suitable Objective Measures by Clustering Association Rules Through the Measures Themselves. Em: International Conference on Current Trends in Theory and Practice of Computer Science, v. 9587, p. 505-517, 2016.
4.	DOS REIS, DENIS MOREIRA ; FLACH, PETER ; MATWIN, STAN ; Batista, Gustavo. Fast Unsupervised Online Drift Detection Using Incremental Kolmogorov-Smirnov Test. Em: the 22nd ACM SIGKDD International Conference, p. 1545, 2016.
5.	Drury, Brett ; ROCHA, CONCEIÇÃO ; MOURA, MARIA-FERNANDA ; de Andrade Lopes, Alneu. The Extraction from News Stories a Causal Topic Centred Bayesian Graph for Sugarcane. Em: the 20th International Database Engineering & Applications Symposium, p. 364-369, 2016.
6.	Faleiros, T. P. ; Lopes, Alneu de Andrade. On the equivalence between algorithms for Non-negative Matrix Factorization and Latent Dirichlet Allocation. Em: 24 th European Symposium on Artificial Neural Networks, p. 1-6, 2016.
7.	FARIAS, DARLAN SANTANA ; MATSUNO, IVONE PENQUE ; MARCACINI, RICARDO MARCONDES ; REZENDE, SOLANGE OLIVEIRA. Opinion-meter: A Framework for Aspect-Based Sentiment Analysis. Em: 22nd Brazilian Symposium on Multimedia and the Web, p. 351-354, 2016.
8.	GIUSTI, RAFAEL ; SILVA, DIEGO F. ; Batista, Gustavo E. A. P. A.. Improved Time Series Classification with Representation Diversity and SVM. Em: 2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA), p. 1-6, 2016.
9.	MARCACINI, RICARDO M.; CARNEVALI, JULIO C. ; DOMINGOS, JOAO. On combining Websensors and DTW distance for kNN Time Series Forecasting. Em: 2016 23rd International Conference on Pattern Recognition (ICPR), p. 2521-2525, 2016.
10.	Padua, R. ; Carvalho, V. O. ; REZENDE, S. O.. Post-processing Association Rules: A Network Based Label Propagation Approach. Em: International Conference on Current Trends in Theory and Practice of Computer Science, v. 9587, p. 580-591, 2016.
11.	Padua, Renan ; SILVA JUNIOR, E. L. ; CARMO, L. P. ; CARVALHO, Veronica Oliveira de ; REZENDE, S. O.. Preprocessing data sets for association rules using community detection and clustering: a comparative study. Em: Encontro Nacional de Inteligência Artificial e Computacional, v. 1, p. 553-564, 2016.
12.	SCHEICHER1, R. B. ; SINOARA, R. A. ; KOGA, N. J. ; REZENDE, SOLANGE O.. Uso de expressões do domínio na classificação automática de documentos. Em: Encontro Nacional de Inteligência Artificial e Computacional, v. 1, p. 625-636, 2016.
13.	SILVA, DIEGO F.; BATISTA, GUSTAVO E. A. P. A. ; KEOGH, EAMONN. Prefix and Suffix Invariant Dynamic Time Warping. Em: IEEE International Conference on Data Mining, p. 1209-1214, 2016.
14.	SILVA, DIEGO F. ; Yeh, C. M. ; BATISTA, GUSTAVO E.A.P.A. ; Keogh, Eamonn. SiMPle: Assessing Music Similarity Using Subsequences Joins. Em: 16th International Society for Music Information Retrieval Conference, p. 23-29, 2016.
15.	SILVA, DIEGO FURTADO ; BATISTA, GUSTAVO E.A.P.A.. Speeding Up All-Pairwise Dynamic Time Warping Matrix Calculation. Em: SIAM International Conference on Data Mining (SDM), p. 837-845, 2016.
16.	SILVA, DIEGO FURTADO ; BATISTA, GUSTAVO E.A.P.A. ; KEOGH, EAMONN J.. On the Effect of Endpoints on Dynamic Time Warping. Em: 2nd SIGKDD Workshop On Mining and Learning From Time Series, p. 1-6, 2016.
17.	SINOARA, ROBERTA A. ; ROSSI, RAFAEL G. ; REZENDE, SOLANGE O.. Semantic role-based representations in text classification. Em: 2016 23rd International Conference on Pattern Recognition (ICPR), p. 2313, 2016.
18.	SOUSA, C. A. R. ; BATISTA, GUSTAVO E.A.P.A.. Constrained Local and Global Consistency for Semi-supervised Learning. Em: 23rd International Conference on Pattern Recognition, 2016.
19.	Valverde-Rebaza, Jorge Carlos ; Roche, M. ; Pncelet, P. ; Lopes, Alneu de Andrade. Exploiting Social and Mobility Patterns for Friendship Prediction in Location-Based Social Networks. Em: ICPR: 23rd International Conference on Pattern Recognition, 2016.
20.	YEH, C. M. ; ZHU, Y. ; ULANOVA, L. ; BEGUM, N. ; DING, Y. ; DAU, H. A. ; SILVA, DIEGO F. ; MUEEN, A. ; Keogh, E.. MatrixProfile I: All Pairs Similarity Joins for Time Series: A Unifying View that Includes Motifs, Discords and Shapelets. Em: IEEE International Conference on Data Mining, p. 1317-1322, 2016.

2015

1.	GIUSTI, R. ; SILVA, D. F. ; BATISTA, G. E. A. P. A.. Time Series Classification with Representation Ensembles. Em: International Symposium on Intelligent Data Analysis, p. 108-119, 2015.
2.	Marques, C. A. N. ; MATSUNO, I. P. ; SINOARA, R. A. ; REZENDE, S. O. ; ROZENFELD, H.. An exploratory study to evaluate the practical application of PSS methods and tools based on text mining. Em: International Conference on Engineering Design, v. 7, p. 7-311-7-320, 2015.
3.	MATSUNO, I. P. ; ROSSI, R. G. ; MARCACINI, R. M. ; REZENDE, S. O.. Análise de Sentimentos baseada em Aspectos usando Aprendizado Semissupervisionado em Redes Heterogêneas. Em: Symposium on Knowledge Discovery, p. 90-93, 2015.
4.	MOURA, M. F. ; MARCACINI, R. M. ; TAKEMURA, C. M. ; Rezende, S. O.. Um software para recuperar e analisar artigos Open Access em agricultura utilizando técnicas de mineração de textos. Em: Congresso Brasileiro de Agroinformática, p. 1-12, 2015.
5.	NOGUEIRA, T. M. ; REZENDE, SOLANGE O. ; CAMARGO, H. A.. Flexible Document Organization: Comparing Fuzzy and Possibilistic Approaches. Em: IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2015), v. 1, 2015.
6.	OLIVEIRA, L. S. ; BATISTA, GUSTAVO E.A.P.A.. IGMM-CD: A Gaussian Mixture Classification Algorithm for Data Streams with Concept Drifts. Em: Brazilian Conference on Intelligent Systems, p. 55-61, 2015.
7.	PARMEZAN, A. R. S. ; BATISTA, GUSTAVO E.A.P.A.. A Study of the Use of Complexity Measures in the Similarity Search Process Adopted by kNN Algorithm for Time Series Prediction. Em: International Conference on Machine Learning and Applications, p. 1-6, 2015.
8.	Qi, Y. ; Cinar, G. ; Souza, V. M. A. ; BATISTA, G. E. A. P. A. ; Wang, Y. ; Principe, J.. Effective Insect Recognition Using a Stacked Autoencoder with Maximum Correntropy Criterion. Em: International Joint Conference on Neural Networks (IJCNN), p. 1-8, 2015.
9.	SILVA, A. M. ; MADOENHO, A. M. ; MARCACINI, R. M.. Edge Hierarchical Clustering (EHC): Uma Abordagem para Agrupamento Hierárquico de Dados em Redes de Associação. Em: XII Encontro Nacional de Inteligência Artificial e Computacional, p. 1-8, 2015.
10.	SILVA, DIEGO F. ; SOUZA, VINICIUS M. A. ; BATISTA, GUSTAVO E.A.P.A.. Music Shapelets for Fast Cover Song Recognition. Em: International Society for Music Information Retrieval Conference, p. 441-447, 2015.
11.	SOUSA, C. A. R. ; BATISTA, G. E. A. P. A.. Robust multi-class graph transduction with higher order regularization. Em: International Joint Conference on Neural Networks (IJCNN), p. 1-8, 2015.
12.	SOUSA, C. A. R. ; Souza, V. M. A. ; BATISTA, G. E. A. P. A.. An Experimental Analysis on Time Series Transductive Classification on Graphs. Em: International Joint Conference on Neural Networks (IJCNN), p. 1-8, 2015.
13.	Souza, V. M. A. ; BATISTA, G. E. A. P. A. ; Souza-Filho, N. E.. Automatic Classification of Drum Sounds with Indefinite Pitch. Em: International Joint Conference on Neural Networks (IJCNN), p. 1-8, 2015.
14.	SOUZA, VINICIUS M.A. ; SILVA, DIEGO F. ; BATISTA, GUSTAVO E.A.P.A. ; GAMA, JOAO. Classification of Evolving Data Streams with Infinitely Delayed Labels. Em: 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA), p. 214-219, 2015.
15.	SOUZA, VINÍCIUS M. A. ; SILVA, DIEGO F. ; GAMA, JOÃO ; BATISTA, GUSTAVO E. A. P. A.. Data Stream Classification Guided by Clustering on Nonstationary Environments and Extreme Verification Latency. Em: SIAM International Conference on Data Mining (SDM), p. 873-881, 2015.
16.	SUNDERMANN, CAMILA V. ; DOMINGUES, M. A. ; MARCACINI, R. M. ; Rezende, S. O.. Combining Privileged Information to Improve Context-Aware Recommender Systems. Em: XII Encontro Nacional de Inteligência Artificial e Computacional (ENIAC), p. 1-10, 2015.
17.	Valverde-Rebaza, Jorge Carlos ; Valejo, Alan ; BERTON, L. ; Faleiros, T. P. ; Lopes, Alneu de Andrade. A Naïve Bayes model based on ovelapping groups for link prediction in online social networks. Em: ACM-SAC 2015, p. 1136-1141, 2015.

2014

1.	BERTON, L. ; LOPES, A. A.. Graph construction based on labeled instances for Semi-Supervised Learning. Em: 2014 22nd International Conference on Pattern Recognition, p. 2477-2482, 2014.
2.	CARVALHO, VICTOR AUGUSTO MORAES ; SPOLAOR, NEWTON ; CHERMAN, EVERTON ALVARES ; Monard, Maria Carolina. A framework for multi-label exploratory data analysis: ML-EDA. Em: 2014 XL Latin American Computing Conference (CLEI), v. 1, p. 1-12, 2014.
3.	COSTA, ARTHUR F. DA ; DOMINGUES, MARCOS A. ; REZENDE, SOLANGE O. ; MANZATO, MARCELO G.. Improving Personalized Ranking in Recommender Systems with Multimodal Interactions. Em: 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), p. 198, 2014.
4.	DA SILVA CONRADO, MERLEY ; REZENDE, S. O. ; PARDO, T. A. S.. The Main Challenge of Semi-Automatic Term Extraction Methods. Em: 11st International Workshop on Natural Language Processing and Cognitive Science, v. 1, p. 1-10, 2014.
5.	DOMINGUES, MARCOS AURELIO ; MANZATO, MARCELO GARCIA ; MARCACINI, RICARDO MARCONDES ; SUNDERMANN, CAMILA VACCARI ; REZENDE, SOLANGE OLIVEIRA. Using Contextual Information from Topic Hierarchies to Improve Context-Aware Recommender Systems. Em: 2014 22nd International Conference on Pattern Recognition (ICPR), p. 3606-3611, 2014.
6.	DOMINGUES, MARCOS AURELIO ; SUNDERMANN, CAMILA VACCARI ; MANZATO, MARCELO GARCIA ; MARCACINI, RICARDO MARCONDES ; REZENDE, SOLANGE OLIVEIRA. Exploiting Text Mining Techniques for Contextual Recommendations. Em: 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), p. 210-217, 2014.
7.	DOMINGUES, Marcos Auréilo ; JORGE, ALÍPIO M. ; SOARES, C. ; REZENDE, S. O.. Improving Multidimensional Recommender Systems Using Dimensions as Virtual Items. Em: SEMISH - XLI Seminário Integrado de Software e Hardware, p. 1026-1036, 2014.
8.	Drury, Brett ; Alneu A. Lopes. A comparison of the effect of feature selection and balancing strategies upon the sentiment classiﬁcation of Portuguese News Stories. Em: ENIAC, 2014.
9.	LEMES, CRISTIANO INACIO ; SILVA, DIEGO FURTADO ; BATISTA, GUSTAVO E.A.P.A.. Adding Diversity to Rank Examples in Anytime Nearest Neighbor Classification. Em: 2014 13th International Conference on Machine Learning and Applications (ICMLA), p. 129-134, 2014.
10.	LIMA, VITOR MESAQUE ALVES DE ; MARCACINI, RICARDO MARCONDES ; LIMA, MARCELO HENRIQUE PEREIRA ; CAGNIN, MARIA ISTELA ; TURINE, MARCELO AUGUSTO SANTOS. A Generation Environment for Front-End Layer in e-Government Content Management Systems. Em: 2014 9th Latin American Web Congress (LAWEB), p. 119-123, 2014.
11.	MANZATO, MARCELO G. ; DOMINGUES, MARCOS A. ; REZENDE, SOLANGE O.. Optimizing Personalized Ranking in Recommender Systems with Metadata Awareness. Em: 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), p. 191, 2014.
12.	MANZATO, MARCELO GARCIA ; DOMINGUES, MARCOS AURELIO ; MARCACINI, RICARDO MARCONDES ; REZENDE, SOLANGE OLIVEIRA. Improving Personalized Ranking in Recommender Systems with Topic Hierarchies and Implicit Feedback. Em: 2014 22nd International Conference on Pattern Recognition (ICPR), p. 3696-3701, 2014.
13.	MARCACINI, RICARDO MARCONDES ; DOMINGUES, MARCOS AURELIO ; HRUSCHKA, EDUARDO R. ; REZENDE, SOLANGE OLIVEIRA. Privileged Information for Hierarchical Document Clustering: A Metric Learning Approach. Em: 2014 22nd International Conference on Pattern Recognition (ICPR), p. 3636-3641, 2014.
14.	Padua, R. ; Carvalho, V. O. ; REZENDE, S. O.. Semi-Supervised Learning to Support the Exploration of Association Rules. Em: Data Warehousing and Knowledge Discovery, v. 8646, p. 452-464, 2014.
15.	PADUA, RENAN DE ; Rezende, Solange Oliveira ; CARVALHO, Veronica Oliveira de. Post-Processing Association Rules Using Networks and Transductive Learning. Em: 2014 13th International Conference on Machine Learning and Applications (ICMLA), p. 318-323, 2014.
16.	PINTO, R. ; BERNARDINI, F. C. ; MARCACINI, R. M. ; REZENDE, S. O.. Um novo método para a categorização de planos de projeto. Em: 9º Congresso Brasileiro de Gerenciamento de Projetos (CBGP), 2014.
17.	ROSSI, RAFAEL G. ; LOPES, ALNEU A. ; REZENDE, SOLANGE O.. A parameter-free label propagation algorithm using bipartite heterogeneous networks for text classification. Em: the 29th Annual ACM Symposium, p. 79-84, 2014.
18.	Santos, F. F. ; REZENDE, S. O. ; Carvalho, V. O.. Identificando o Assunto dos Documentos em Coleções Textuais Utilizando Termos Compostos. Em: XI Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2014), p. 550-557, 2014.
19.	Silva, D. F. ; ROSSI, RAFAEL G. ; REZENDE, S. O. ; BATISTA, G. E. A. P. A.. MUSIC CLASSIFICATION BY TRANSDUCTIVE LEARNING USING BIPARTITE HETEROGENEOUS NETWORKS. Em: 15th International Society for Music Information Retrieval Conference (ISMIR 2014), v. 1, p. 113-118, 2014.
20.	SINOARA, ROBERTA A. ; SUNDERMANN, CAMILA V. ; MARCACINI, RICARDO M. ; DOMINGUES, MARCOS A. ; REZENDE, SOLANGE O.. Named entities as privileged information for hierarchical text clustering. Em: the 18th International Database Engineering & Applications Symposium, p. 57-66, 2014.
21.	SOUZA, C. A. R. ; Souza, V. M. A. ; BATISTA, G. E. A. P. A.. Time series transductive classification on imbalanced data sets: an experimental study. Em: International Conference on Pattern Recognition (ICPR'14), 2014.
22.	SOUZA, VINICIUS M.A. ; SILVA, DIEGO F. ; BATISTA, GUSTAVO E.A.P.A.. Extracting Texture Features for Time Series Classification. Em: 2014 22nd International Conference on Pattern Recognition (ICPR), p. 1425-1430, 2014.
23.	SPOLAOR, N. ; MONARD, M. C.. Evaluating ReliefF-Based Multi-Label Feature Selection Algorithm. Em: IBERAMIA, v. 1, p. 194-205, 2014.
24.	SPOLAOR, NEWTON ; Monard, Maria Carolina ; TSOUMAKAS, GRIGORIOS ; LEE, HUEI. Label Construction for Multi-label Feature Selection. Em: 2014 Brazilian Conference on Intelligent Systems (BRACIS), v. 1, p. 247-252, 2014.
25.	SUNDERMANN, CAMILA V. ; DOMINGUES, MARCOS A. ; MARCACINI, RICARDO M. ; REZENDE, SOLANGE O.. Using Topic Hierarchies with Privileged Information to Improve Context-Aware Recommender Systems. Em: 2014 Brazilian Conference on Intelligent Systems (BRACIS), p. 61-66, 2014.
26.	Valejo, Alan ; VALVERDE-REBAZA, JORGE ; Drury, Brett ; Lopes, Alneu de Andrade. Multilevel refinement based on neighborhood similarity. Em: the 18th International Database Engineering & Applications Symposium, p. 67-76, 2014.
27.	Valejo, Alan ; Valverde-Rebaza, Jorge Carlos ; Lopes, Alneu de Andrade. A multilevel approach for overlapping community detection. Em: BRACIS 2014, p. 391-395, 2014.
28.	Valverde-Rebaza, Jorge Carlos ; SORIANO, A. ; OLIVEIRA, Maria Cristina de ; Lopes, Alneu de Andrade. Music genre classification using traditional and relational approaches. Em: BRACIS 2014, p. 259-264, 2014.

2013

1.	BONIN, R. ; MARCACINI, R. M. ; Rezende, S. O.. Seleção não Supervisionada de Instâncias em Fluxo de Textos. Em: KDMILE'13: 1st Symposium on Knowledge Discovery, p. 1-4, 2013.
2.	BRAGA, I.A. ; CARMO, L. P. ; BENATTI, C. C. ; MONARD, M. C.. A Note on Parameter Selection for Support Vector Machines. Em: Mexican International Conference on Artificial Inteligence, v. 8266, p. 233-244, 2013.
3.	BRAGA, IGOR ; Monard, Maria Carolina. Statistical and Heuristic Model Selection in Regularized Least-Squares. Em: 2013 Brazilian Conference on Intelligent Systems (BRACIS), v. 1, p. 231-236, 2013.
4.	Carvalho, V. O. ; Santos, F. F. ; REZENDE, S. O.. Metrics to Support the Evaluation of Association Rule Clustering. Em: International Conference on Data Warehousing and Knowledge Discovery, p. 248-259, 2013.
5.	CHEN, Y. ; HU, B. ; Keogh, Eamonn ; Batista, Gustavo Enrique Almeida Prado Alves. DTW-D: Time Series Semi-Supervised Learning from a Single Example. Em: 19th ACM SIGKDD Conference on Knowledge Discovery and Data Mining - KDD 2013, 2013.
6.	CHERMAN, E. ; SPOLAOR, N. ; VALVERDE-REBAZA, J. ; MONARD, M. C.. Algoritmos de Aprendizado Baseado em Grafos para Classificação Multirrótulo. Em: Encontro Nacional de Inteligencia Artificial, v. 1, p. 1-10, 2013.
7.	CONRADO, M. S. ; PARDO, T. A. S. ; REZENDE, SOLANGE OLIVEIRA. Exploration of a Rich Feature Set for Automatic Term Extraction. Em: 12th Mexican International Conference on Artificial Intelligence (MICAI), 2013.
8.	CONRADO, M. S. ; ROSSI, R. G. ; PARDO, T. A. S. ; REZENDE, SOLANGE OLIVEIRA. Applying Transductive Learning for Automatic Term Extraction: the Case of the Ecology Domain. Em: The Second International Conference on Informatics & Applications (ICIA2013), p. 264-269, 2013.
9.	CONRADO, Merley ; Pardo, T. A. S. ; REZENDE, S. O.. A Machine Learning Approach to Automatic Term Extraction using a Rich Feature Set. Em: NAACL HLT Student Research Workshop, v. 1, p. 16-23, 2013.
10.	DOMINGUES, Marcos Auréilo ; Marcacini, R. M. ; REZENDE, S. O. ; BATISTA, G. E. A. P. A.. Improving the Recommendation of Given Names by Using Contextual Information. Em: Proceedings of the 2013 ECML/PKDD Discovery Challenge, p. 1-12, 2013.
11.	DOMINGUES, MARCOS A. ; CHERMAN, EVERTON A. ; NOGUEIRA, BRUNO M. ; CONRADO, MERLEY S. ; ROSSI, RAFAEL G. ; DE PADUA, RENAN ; MARCACINI, RICARDO M. ; SOUZA, VINICIUS M. A. ; Batista, Gustavo E. A. P. A. ; RCZENDC, SOLANGE O.. A comparative study of algorithms for recommending given names. Em: 2013 Second International Conference on Informatics & Applications (ICIA 2013), p. 66-71, 2013.
12.	DOMINGUES, Marcos Aurélio ; REZENDE, S. O.. The Impact of Context-Aware Recommender Systems on Music in the Long Tail. Em: Brazilian Conference on Intelligent Systems, v. 1, p. 119-124, 2013.
13.	Giusti, R. ; BATISTA, GUSTAVO E.A.P.A.. An Empirical Comparison of Dissimilarity Measures for Time Series Classification. Em: Brazilian Conference on Intelligent Systems, 2013.
14.	MALETZKE, ANDRE G. ; LEE, HUEI D. ; BATISTA, GUSTAVO E.A.P.A. ; REZENDE, SOLANGE O. ; MACHADO, RENATO B. ; VOLTOLINI, RICHARDSON F. ; MACIEL, JOYLAN N. ; SILVA, FABIANO. Time Series Classification using Motifs and Characteristics Extraction: A Case Study on ECG Databases. Em: Fourth International Workshop on Knowledge Discovery, 2013.
15.	MELO, DIOGO OLIVEIRA DE ; Lopes, Alneu de Andrade. Data visualization and relevance feedback applied to information retrieval. Em: the sixth workshop, p. 27-32, 2013.
16.	MONARD, M. C.; FORTES, Renata P M. Uma Visão da Participação Feminina nos Cursos de Ciência de Computação no Brasil. Em: V Congreso de la Mujer Latinoamericana en la Computacion, v. 1, p. 6-12, 2013.
17.	MOTTA, ROBSON ; DE ANDRADE LOPES, ALNEU ; NOGUEIRA, BRUNO M. ; REZENDE, SOLANGE O. ; JORGE, ALÍPIO M. ; DE OLIVEIRA, MARIA CRISTINA FERREIRA. Comparing relational and non-relational algorithms for clustering propositional data. Em: the 28th Annual ACM Symposium, p. 150-155, 2013.
18.	NOGUEIRA, B. M. ; JORGE, A. M. G. ; REZENDE, S. O.. On the Comparison of Semi-Supervised Hierarchical Clustering Algorithms in Text Mining Tasks. Em: KDMILE'13: 1st Symposium on Knowledge Discovery, p. 1-8, 2013.
19.	Padua, Renan ; SANTOS, F. F. ; CONRADO, M. S. ; CARVALHO, Veronica Oliveira de ; REZENDE, SOLANGE OLIVEIRA. Subjective Evaluation of Labeling Methods for Association Rule Clustering. Em: 12th Mexican International Conference on Artificial Intelligence (MICAI), 2013.
20.	Rakthanmanon, Thanawin ; Campana, B. J. L. ; Mueen, Abdullah ; Batista, Gustavo Enrique Almeida Prado Alves ; WESTOVER, B. ; Zhu, Qiang ; Zakaria, Jesin ; Keogh, Eamonn. Data Mining a Trillion Time Series Subsequences Under Dynamic Time Warping. Em: International Joint Conference on Artificial Intelligence - IJCAI'13, 2013.
21.	ROSSI, R. G. ; MARCACINI, R. M. ; Rezende, S. O.. Analysis of Statistical Keyword Extraction Methods for Incremental Clustering. Em: X Encontro Nacional de Inteligência Artificial e Computacional - ENIAC, v. 1, p. 1-12, 2013.
22.	Silva, D. F. ; PAPADOPOULOS, H. ; BATISTA, GUSTAVO E.A.P.A. ; ELLIS, D. P. W.. A Video Compression-based Approach To Measure Music Structural Similarity. Em: International Society for Music Information Retrieval Conference, p. 95-100, 2013.
23.	SILVA, DIEGO F.; SOUZA, VINICIUS M.A. DE ; BATISTA, GUSTAVO E.A.P.A. ; KEOGH, EAMONN ; ELLIS, DANIEL P.W.. Applying Machine Learning and Audio Analysis Techniques to Insect Recognition in Intelligent Traps. Em: 2013 12th International Conference on Machine Learning and Applications (ICMLA), p. 99-104, 2013.
24.	Silva, D. F. ; Souza, V. M. A. ; Batista, Gustavo Enrique Almeida Prado Alves. Time Series Classification Using Compression Distance of Recurrence Plots. Em: 2013 IEEE International Conference on Data Mining (ICDM), p. 687-696, 2013.
25.	SOUSA, C. A. R. ; REZENDE, S. O. ; Batista, Gustavo Enrique Almeida Prado Alves. Influence of graph construction on semi-supervised learning. Em: European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD), v. 8190, p. 160-175, 2013.
26.	SOUZA, VINICIUS M.A. DE ; SILVA, DIEGO F. ; BATISTA, GUSTAVO E.A.P.A.. Classification of Data Streams Applied to Insect Recognition: Initial Results. Em: 2013 Brazilian Conference on Intelligent Systems (BRACIS), p. 76-81, 2013.
27.	SOUZA, V. M. A. ; SILVA, D. F. ; BATISTA, G. E. A. P. A. ; GARCIA, P. R. P.. Avaliação de classificadores para o reconhecimento automático de insetos. Em: Encontro Nacional de Inteligência Artificial e Computacional, p. 1-10, 2013.
28.	SPOLAOR, NEWTON ; CHERMAN, EVERTON ALVARES ; Monard, Maria Carolina ; LEE, HUEI DIANA. ReliefF for Multi-label Feature Selection. Em: 2013 Brazilian Conference on Intelligent Systems (BRACIS), v. 1, p. 6-12, 2013.
29.	TOMAS, J. T. ; SPOLAOR, N. ; CHERMAN, E. ; MONARD, M. C.. A Framework to Generate Synthetic Multi-label Datasets. Em: Conferencia Latinoamericana de Informática, v. 1, p. 61-71, 2013.
30.	ZANETTA, A. ; MARCACINI, R. M.. O uso da Mineração de Textos para análise exploratória de metadados de produção científica. Em: I SIMPÓSIO DA PRODUÇÃO DO CONHECIMENTO NA GRADUAÇÃO E PÓS-GRADUAÇÃO EM MATO GROSSO DO SUL, p. 1-10, 2013.

2012

1.	BATISTA, GUSTAVO ; SILVA, DIEGO FURTADO ; PRATI, RONALDO CRISTIANO. An Experimental Design to Evaluate Class Imbalance Treatment Methods. Em: 2012 Eleventh International Conference on Machine Learning and Applications (ICMLA), v. 2, p. 95-101, 2012.
2.	BERTON, L. ; LOPES, A. A.. Informativity-Based Graph: Exploring Mutual kNN and Labeled Vertices for Semi-Supervised Learning. Em: IVth International Conference on Computational Aspects of Social Networks (CASoN), p. 1-10, 2012.
3.	BIONDI, D. S. ; Santos, F. F. ; REZENDE, S. O.. Labeling Methods for Association Rule Clustering. Em: 14th International Conference on Enterprise Information Systems (ICEIS), v. 1, p. 105-113, 2012.
4.	Carneiro, M. ; Rosa, J. L. ; LOPES, A. A. ; ZHAO, L.. Classificação de Alto Nível Utilizando Grafo K-associados Ótimo. Em: 4th International Workshop on Web and Text Intelligence, p. 1-10, 2012.
5.	CINTRA, M. E. ; MONARD, M. C. ; CAMARGO, Heloisa A. Using Fuzzy Formal Concepts in the Genetic Generation of Fuzzy Systems. Em: IEEE World Congress on Computational Intelligence, v. 1, p. 1784-1791, 2012.
6.	CINTRA, M. E. ; MONARD, M. C. ; CAMARGO, Heloisa A. FUZZYDT - A Fuzzy Decision Tree Algorithm Based on C4.5. Em: Congresso Brasileiro de Sistemas Fuzzy, v. 1, p. 199-211, 2012.
7.	CONRADO, M. S. ; Gutierrez, V. A. L. ; REZENDE, S. O.. Evaluation of Normalization Techniques in Text Classification for Portuguese. Em: 12th International Conference on Computational Science and Its Applications, v. 3, p. 618-630, 2012.
8.	Faleiros, T. P. ; BERTON, L. ; LOPES, A. A.. Exploring Data Classification with K-associated Network. Em: 4th International Workshop on Web and Text Intelligence, p. 1-10, 2012.
9.	GIUSTI, RAFAEL ; Batista, Gustavo Enrique Almeida Prado Alves. Descoberta de regras de conhecimento utilizando computação evolutiva multi-objetivo. Em: Concurso de Tese e Dissertações em Inteligência Artificial - CTDIA, p. 1-12, 2012.
10.	Marcacini, R. M. ; REZENDE, S. O.. Aprendizado não supervisionado de hierarquias de de tópicos a partir de coleções textuais dinâmicas. Em: VII Concurso de Teses e Dissertações em Inteligência Artificial (CTDIA) junto ao Brazilian Conference on Intelligent Systems (BRACIS), v. 1, p. 1-10, 2012.
11.	Marcacini, R. M. ; CHERMAN, E. A. ; METZ, J. ; REZENDE, S. O.. A fast dendrogram refinement approach for unsupervised expansion of hierarchies. Em: Discovery Challenge Workshop on Large Scale Hierarchical Classification. (Workshop at ECML/PKDD - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases), v. 1, p. 1-12, 2012.
12.	Marcacini, R. M. ; CORRÊA, G. N. ; REZENDE, S. O.. An Active Learning Approach to Frequent Itemset-Based Text Clustering. Em: ICPR'2012: 21st International Conference on Pattern Recognition, v. 1, p. 3529-3532, 2012.
13.	Marcacini, R. M. ; HRUSCHKA, E. R. ; REZENDE, S. O.. On the use of consensus clustering for incremental learning of topic hierarchies. Em: SBIA'2012: 21st Brazilian Symposium on Artificial Intelligence, v. 1, p. 112-121, 2012.
14.	METZ, Jean ; ABREU, L. F. D. ; CHERMAN, E. ; MONARD, M. C.. On the Estimation of Predictive Evaluation Measure Baselines for Multi-label Learning. Em: IBERAMIA, v. 7637, p. 189-198, 2012.
15.	MURRUGARA, N. ; BERTON, L. ; LOPES, A. A.. Graph-based cross-validated committees ensembles. Em: Computational Aspects of Social Networks (CASoN), p. 1-10, 2012.
16.	NOGUEIRA, B. M. ; JORGE, A. M. G. ; REZENDE, S. O.. HCAC: Semi-supervised Hierarchical Clustering Using Confidence-Based Active Learning. Em: Discovery Science, v. 7569, p. 139-153, 2012.
17.	NOGUEIRA, T. M. ; CAMARGO, H. A. ; REZENDE, S. O.. Fuzzy Cluster Descriptors Improve Flexible Organization of Documents. Em: International Conference Intelligent Systems Design and Applications, v. 1, p. 616-621, 2012.
18.	PEDROSA, GLAUCO VITOR ; REZENDE, SOLANGE OLIVEIRA ; TRAINA, Agma Juci Machado. Reducing the dimensionality of the SIFT descriptor and increasing its effectiveness and efficiency in image retrieval via bag-of-features. v. 1, p. 139-142, 2012.
19.	PRATI, Ronaldo Cristiano ; Batista, Gustavo E. A. P. A.. Distância invariante à complexidade baseada em dimensão fractal para classificação de séries temporais. Em: Encontro Nacional de Inteligência Artificial, p. 1-12, 2012.
20.	Qiang Zhu ; Batista, Gustavo E. A. P. A. ; Thanawin Rakthanmanon ; Keogh, E. J.. A Novel Approximation to Dynamic Time Warping allows Anytime Clustering of Massive Time Series Datasets. Em: SIAM International Conference on Data Mining, p. 999-1010, 2012.
21.	Rakthanmanon, Thanawin ; Campana, Bilson ; Mueen, Abdullah ; Batista, Gustavo ; Westover, Brandon ; Zhu, Qiang ; Zakaria, Jesin ; Keogh, Eamonn. Searching and mining trillions of time series subsequences under dynamic time warping. Em: the 18th ACM SIGKDD international conference, p. 262-270, 2012.
22.	REIS, D. M. ; CHERMAN, E. ; SPOLAOR, N. ; MONARD, M. C.. Extensões do Algoritmo de Aprendizado de Máquina Multirrótulo BRKNN. Em: Encontro Nacional de Inteligencia Artificial, v. 1, p. 1-11, 2012.
23.	ROSSI, RAFAEL GERALDELI ; DE PAULO FALEIROS, THIAGO ; de Andrade Lopes, Alneu ; REZENDE, Solange Oliveira. Inductive Model Generation for Text Categorization using a Bipartite Heterogeneous Network. Em: 2012 IEEE 12th International Conference on Data Mining (ICDM), v. 1, p. 1086-1091, 2012.
24.	ROSSI, R. G. ; REZENDE, S. O.. Representação de Coleções de Documentos Textuais por meio de Regras de Associação. Em: VII Concurso de Teses e Dissertações em Inteligência Artificial (CTDIA) junto ao Brazilian Conference on Intelligent Systems (BRACIS), v. 1, p. 1-12, 2012.
25.	Silva, D. F. ; Souza, V. M. A. ; Batista, Gustavo E. A. P. A. ; Giusti, R.. Spoken Digit Recognition in Portuguese Using Line Spectral Frequencies. Em: The 13th Ibero-American Conference on Artificial Intelligence, v. 7637, p. 241-250, 2012.
26.	SPOLAOR, N. ; CHERMAN, E. ; MONARD, M. C. ; LEE, H. D.. Filter Approach Feature Selection Methods to Support Multi-label Learning Based on ReliefF and Information Gain. Em: 21th Brazilian Symposium on Artificial Intelligence, v. 7589, p. 72-91, 2012.
27.	Valverde-Rebaza, Jorge Carlos ; LOPES, A. A.. Structural Link Prediction Using Communities Information on Twitter. Em: IVth International Conference on Computational Aspects of Social Networks (CASoN), p. 1-10, 2012.
28.	VARGAS, R. N. P. ; MOURA, Maria Feranda ; SPERANZA, E. A. ; RODRIGUEZ, E. ; REZENDE, S. O.. Discovering the Spatial Coverage of the Documents through the SpatialCIM Methodology. Em: International Conference on Geographic Information Science, 2012.
29.	VARGAS, R. N. P. ; MOURA, Maria Fernanda ; SPERANZA, E. A. ; REZENDE, S. O.. Identificação da Cobertura Espacial de Documentos usando Mineração de Textos. Em: Encontro Nacional de Inteligência Artificial (ENIA) junto ao Brazilian Conference on Intelligent Systems 2012 (BRACIS'2012), v. 1, p. 1-11, 2012.
30.	VARGAS, R. N. P. ; MOURA, Maria Fernanda ; SPERANZA, E. A. ; RODRIGUEZ, E. ; REZENDE, S. O.. The SpatialCIm methodology for spatial document coverage disambiguation and the entity recognition process aided by linguistic techniques. Em: Geospatial Information and Documents, 2012.

2011

1.	BATISTA, G. E. A. P. A.; Wang, X. ; Keogh, E. J.. A Complexity-Invariant Distance Measure for Time Series. Em: SIAM Conference on Data Mining, p. 699-710, 2011.
2.	Batista, Gustavo E.; KEOGH, EAMONN J. ; MAFRA-NETO, AGENOR ; ROWTON, EDGAR. SIGKDD demo. Em: the 17th ACM SIGKDD international conference, p. 761-764, 2011.
3.	BATISTA, GUSTAVO E.A.P.A.; HAO, YUAN ; Keogh, Eamonn ; MAFRA-NETO, AGENOR. Towards Automatic Classification on Flying Insects Using Inexpensive Sensors. Em: 2011 Tenth International Conference on Machine Learning and Applications (ICMLA), p. 364-369, 2011.
4.	Bertini, J. ; Andrade Lopes, Alneu ; Zhao, Liang. Streaming Data Classification with the K-associated Graph. Em: X Congresso Brasileiro de Inteligência Computacional, p. 1-8, 2011.
5.	BRAGA, I.A. ; MONARD, M. C.. O Papel da Inferência Seletiva em Aprendizado de Máquina. Em: Encontro Nacional de Inteligencia Artificial, v. 1, p. 584-595, 2011.
6.	CARVALHO, Veronica Oliveira de ; Santos, F. F. ; REZENDE, S. O.. Post-processing association rules with clustering and objective measures. Em: 3th International Conference on Enterprise Information Systems (ICEIS), v. 1, p. 54-63, 2011.
7.	CINTRA, M. E. ; MONARD, M. C. ; CAMARGO, Heloisa A. Fuzzy and Classic Rule Learning Methods: a Comparative Analysis. Em: World Conference on Soft Computing, v. 1, p. 182-190, 2011.
8.	CINTRA, M. E. ; MONARD, M. C. ; CAMARGO, Heloisa A ; CHERMAN, E.. On the Estimation of the Number of Fuzzy Set for Fuzzy Rule-Based Classification Systems. Em: Hybrid Intelligent Systems, v. 1, p. 211-216, 2011.
9.	CINTRA, M. E. ; MONARD, M. C. ; CAMARGO, Heloisa A ; MARTIN, T. ; MAJIDIAN, A.. On Rule Generation Approaches for Genetic Fuzzy Systems. Em: Encontro Nacional de Inteligência Artificial, v. 1, p. 263-274, 2011.
10.	Cintra, Marcos E. ; MEIRA, CARLOS A. A. ; Monard, Maria C. ; Camargo, Heloisa A. ; RODRIGUES, LUIZ H. A.. The use of fuzzy decision trees for coffee rust warning in Brazilian crops. Em: 2011 11th International Conference on Intelligent Systems Design and Applications (ISDA), v. 1, p. 1347-1352, 2011.
11.	CONRADO, M. S. ; KOZA, W. A. ; DIAZ-LABRADO, J. ; Abaitua, J. ; REZENDE, S. O. ; Pardo, T. A. S. ; Solana, Z.. Extracting multiword expressions using enumerations of noun phrases in specialized domains. Em: 15th Portuguese Conference on Artificial Intelligence - Text Mining and Applications, p. 775-789, 2011.
12.	CONRADO, M. S. ; REZENDE, S. O. ; Pardo, T. A. S.. Identificación de Términos a partir de Enumeraciones Sintagmáticas Nominales: Una Aplicación al Dominio Médico. Em: 40JAIIO - CAIS 2011, v. 1, p. 57-65, 2011.
13.	Ferreira, L. ; Pinto, A. ; Andrade Lopes, Alneu ; Zhao, Liang. Community Detection Approach for Cluster Formation in Wireless Sensor Network. Em: X Congresso Brasileiro de Inteligência Artificial, p. 1-11, 2011.
14.	JUNIO, B. ; Motta, R. ; Andrade Lopes, Alneu. Detecção de Autores Duplicados Utilizando Estrutura de Comunidades em Redes de Cooperação Científica. Em: VIII Encontro Nacional de Inteligência Artificial - ENIA, p. 335-345, 2011.
15.	Marcacini, R. M. ; REZENDE, S. O.. Construção Automática de Diretórios Web usando Agrupamento Incremental de Termos. Em: Encontro Nacional de Inteligência Artificial (ENIA), v. 1, p. 323-334, 2011.
16.	METZ, Jean ; FREITAS, A. A. ; MONARD, M. C. ; CHERMAN, E.. A Study on the Selection of Local Training Sets for Hierarchical Classiﬁcation Tasks. Em: Encontro Nacional de Inteligência Artificial, v. 1, p. 572-583, 2011.
17.	MURRUGARA, N. ; Andrade Lopes, Alneu. Graph-Based Bagging. Em: CoLISD: Collective Learning and Inference on Structured Data, p. 1-11, 2011.
18.	MURRUGARA, N. ; Andrade Lopes, Alneu. An Adaptive Graph-Based K-Nearest Neighbor. Em: CoLISD: Collective Learning and Inference on Structured Data, p. 1-12, 2011.
19.	Murrugarra-Llerena, N. ; Alva-Manchego, F. ; REZENDE, S. O.. Comparação de Grades Curriculares Baseada em Agrupamento Hierárquico de Textos. Em: Workshop sobre Educação em Computação (WEI), v. 1, p. 1616-1625, 2011.
20.	ROSSI, R. G. ; REZENDE, S. O.. Generating Features from Textual Documents Through Association Rules. Em: Encontro Nacional de Inteligência Artificial, v. 1, p. 311-322, 2011.
21.	ROSSI, R. G. ; REZENDE, S. O.. Building a Topic Hierarchy Using the Bag-of-Related-Words Representation. Em: 1th ACM Symposium on Document Engineering, p. 195-204, 2011.
22.	Silva, D. F. ; BATISTA, G. E. A. P. A. ; Keogh, E. J. ; Mafra Neto, A.. Resultados Preliminares na Classificação de Insetos Utilizando Sensores Ópticos. Em: XXXI Congresso da Sociedade Brasileira de Computação, p. 749-760, 2011.
23.	SPOLAOR, N. ; CHERMAN, E. ; MONARD, M. C.. Uso do ReliefF para Seleção de Atributos em Dados Multirrótulo. Em: Conferencia Latinoamericana de Informática, v. 1, p. 1-16, 2011.

2010

1.	BATISTA, GUSTAVO E.A.P.A.; Campana, Bilson ; Keogh, Eamonn. Classification of Live Moths Combining Texture, Color and Shape Primitives. Em: 2010 International Conference on Machine Learning and Applications (ICMLA), p. 903-906, 2010.
2.	Bertini, J. ; Andrade Lopes, Alneu ; Motta, R. ; ZHAO, L.. Online Classifier Based on the Optimal K-associated Network. Em: 3rd International Workshop on Web and Text Intelligence, p. 1-10, 2010.
3.	BRAGA, I.A. ; MONARD, M. C.. Aprendizado Semissupervisionado Multidescrição em Classi cação de Textos. Em: Concurso de Teses e Dissertações em Inteligência Artificial, v. 1, p. 1-10, 2010.
4.	CHERMAN, E. ; METZ, Jean ; MONARD, M. C.. Explorando Dependência entre Rótulos no Classificador Multirrótulo Binary Relevance. Em: Workshop on Computational Intelligence, v. 1, p. 1-6, 2010.
5.	CHERMAN, E. ; METZ, Jean ; MONARD, M. C.. A Simple Approach to Incorporate Label Dependency in Multi-label Classification. Em: Mexican International Conference on Artificial Intelligence, v. 6438, p. 33-43, 2010.
6.	CHERMAN, E. ; METZ, Jean ; MONARD, M. C.. Métodos Multirrótulo Independentes de Algoritmo: Um Estudo de Caso. Em: Conferência Latinoamericana de Informática, v. 1, p. 1-14, 2010.
7.	CINTRA, M. E. ; MONARD, M. C. ; CAMARGO, Heloisa A. An Evaluation of Rule-based Classification Models Induced by a Fuzzy Method and Two Classic Learning Algorithms. Em: Joint Conference SBIA/SBRN/JRI, v. 1, p. 188-193, 2010.
8.	CINTRA, M. E. ; MONARD, M. C. ; CAMARGO, Heloisa A. Evaluation of the Pruning Impact on Fuzzy C4.5. Em: Congresso Brasileiro de Sistemas Fuzzy, v. 1, p. 257-264, 2010.
9.	GIUSTI, RAFAEL ; BATISTA, GUSTAVO E.A.P.A.. Discovering Knowledge Rules with Multi-Objective Evolutionary Computing. Em: 2010 International Conference on Machine Learning and Applications (ICMLA), p. 119-124, 2010.
10.	LAGUNA, V. ; Andrade Lopes, Alneu. Combining Local and Global KNN with Cotraining. Em: 19th European Conference on Artificial Intelligence - 2010, p. 815-820, 2010.
11.	Marcacini, R. M. ; REZENDE, S. O.. Incremental Construction of Topic Hierarchies using Hierarchical Term Clustering. Em: 22nd International Conference on Software Engineering and Knowledge Engineering (SEKE), v. 1, p. 553-558, 2010.
12.	MOURA, Maria Fernanda ; REZENDE, S. O.. A Simple Method for Labeling Hierarchical Document Clusters. Em: Artificial Intelligence and Applications (AIA 2010), v. 1, p. 363-371, 2010.
13.	MOURA, Maria Fernanda ; REZENDE, S. O.. Contribuições para a construção de taxonomias de tópicos em domínios restritos utilizando aprendizado estatístico. Em: Concurso de Teses e Dissertações de Inteligência Artificial (CTDIA'2010) promovido pela Joint Conference (XX SBIA, v. 1, p. 1-10, 2010.
14.	NOGUEIRA, B. M. ; REZENDE, S. O.. Avaliação de métodos não-supervisionados de seleção de atributos para Mineração de Textos. Em: VII Best MSc Dissertation/PhD Thesis Contest in Artificial Intelligence (CTDIA) promovido pela Jint Conference (SBIA, p. 1-10, 2010.
15.	Nogueira, Tatiane Marques ; CAMARGO, H. A. ; REZENDE, S. O.. The Use of Fuzzy Rules to Text Document Classification. Em: International Conference on Hybrid Intelligent Systems, v. 1, p. 19-24, 2010.
16.	ROSSI, R. G. ; REZENDE, S. O.. The use of frequent itemsets extracted from textual documents for the classification task. Em: III International workshop on Web and Text Intelligence promovido pela International Joint Conference (SBIA, p. 1-10, 2010.
17.	Santos, F. F. ; CARVALHO, Veronica Oliveira de ; REZENDE, S. O.. Selecting Candidate Labels For Hierarchical Document Clusters Using Association Rules. Em: 9th MICAI - Mexican International Conference on Artificial Intelligence, v. 6438, p. 163-176, 2010.
18.	Santos, F. F. ; REZENDE, S. O.. Selecionando Candidatos a Descritores Para Agrupamentos Hierárquicos de Documentos Utilizando Regras de Associação. Em: Workshop on MSc Dissertation and PhD Thesis in Artificial Intelligence promovido pela Joint Conference (XX SBIA, p. 1-10, 2010.
19.	TALARICO NETO, A. ; FORTES, Renata Pontim de Matos ; ROSSI, R. G. ; REZENDE, S. O.. MMWA-ae: boosting knowledge from Multmodal Interface Design, Reuse and Usability Evaluation. Em: SEKE'10, v. 1, p. 355-360, 2010.

2009

1.	Almeida, L. ; LOPES, A. A.. An Ultra-Fast Modularity-Based Graph Clustering Algorithm. Em: Fourteenth Portuguese Conference on Artificial Intelligence - Web and Network Intelligence Track, p. 1-9, 2009.
2.	Anderey, G. ; LOPES, A. A. ; MINGHIM, Rosane. Exploração visual multidimensional de redes sociais. Em: 2nd International Workshop on Web and Text Intelligence, p. 1-9, 2009.
3.	BATISTA, G. E. A. P. A. ; SILVA, D. F.. How k-Nearest Neighbor Parameters Affect its Performance. Em: Argentine Symposium on Artificial Intelligence, p. 1-12, 2009.
4.	BATISTA, G. E. A. P. A.; Silva, D. F.. How k-Nearest Neighbor Parameters Aﬀect its Performance. Em: Argentine Symposium on Artificial Intelligence, p. 1-12, 2009.
5.	BERNARDINI, F. C. ; MONARD, M. C. ; PRATI, R. C.. A Proposal for Simplifying Explanations from Ensembles of Symbolic Classiﬁers. Em: Argentine Symposium on Artificial Intelligence, v. 1, p. 191-202, 2009.
6.	BRAGA, I.A. ; MATSUBARA, E. T. ; MONARD, M. C.. Um Estudo sobre a Rotulação de Exemplos no Aprendizado Semissupervisionado Multivisão. Em: Encontro Nacional de Inteligência Artificial, v. 1, p. 1059-1068, 2009.
7.	BRAGA, I.A. ; MONARD, M. C. ; MATSUBARA, E. T.. Combining Unigrams and Bigrams in Semi-Supervised Text Classification. Em: Portuguese Conference on Artificial Intelligence, v. 1, p. 489-500, 2009.
8.	CHERMAN, E. ; MONARD, M. C.. Um Estudo sobre Métodos de Classificação Multirrótulo. Em: Congresso da Academia Trinacional de Ciências, v. 1, p. 1-10, 2009.
9.	CINTRA, M. E. ; MARTIN, T. ; MONARD, M. C. ; CAMARGO, Heloisa A. Feature Subset Selection Using a Fuzzy Method. Em: International Conference on Intelligent Human-Machine Systems and Cybernetics, v. 1, p. 214-217, 2009.
10.	CINTRA, M. E. ; MONARD, M. C. ; CAMARGO, Heloisa A ; MARTIN, T.. A Comparative Study on Classic Machine Learning and Fuzzy Approaches for Classification Problems. Em: Congresso da Academia Trinacional de Ciências, v. 1, p. 1-9, 2009.
11.	CONRADO, Merley ; Marcacini, R. M. ; MOURA, Maria Fernanda ; REZENDE, S. O.. O Efeito do uso de Diferentes Formas de Geração de Termos na Compreensibilidade e Representatividade dos Termos em Coleções Textuais na Língua Portuguesa. Em: II International Workshop on Web and Text Intelligence (WTI - 2009), p. 1-10, 2009.
12.	Felizardo, K. ; Martins, R. M. ; MALDONADO, J. C. ; LOPES, A. A. ; MINGHIM, Rosane. Content Based Visual Mining of Document Collections Using Ontologies. Em: 2nd International Workshop on Web and Text Intelligence, p. 1-8, 2009.
13.	Ferrero, C. A. ; MALETZKE, A. G. ; LEE, H. D. ; BATISTA, G. E. A. P. A. ; Wu, F. C.. Extração de Padrões e Construção de Modelos Simbólicos para Previsão de Dados Temporais. Em: Congresso da Academia Trinacional de Ciências, p. 11-20, 2009.
14.	FERRERO, Carlos Andres ; MONARD, M. C. ; LEE, H. D. ; WU, F. Ch.. Proposta de uma Função de Previsão de Dados Temporais para o Algoritmo dos Vizinhos mais Próximos. Em: Conferencia Latinoamericana de Informática, v. 1, p. 1-10, 2009.
15.	HONORATO, Daniel de Faveri ; MONARD, M. C. ; LEE, H. D. ; FERRERO, Carlos Andres ; WU, F. Ch.. TP-DISCOVER: um Ambiente Computacional para Auxílio no Pré-processamento de Laudos Médicos Não-estruturados. Em: Simposio Argentino de Informática y Salud, v. 1, p. 44-55, 2009.
16.	HONORATO, Daniel de Faveri ; MONARD, M. C. ; LEE, H. D. ; PETROBOM NETO, A. ; WU, F. Ch.. Avaliação de um Metodo de Mapeamento de Laudos Médicos para uma Representação Estruturada: Estudo de Caso com Laudos de Endoscopia Digestiva Alta. Em: Workshop de Informática Médica, v. 1, p. 1977-1986, 2009.
17.	LAGUNA, V. ; LOPES, A. A.. A Multi-view Approach for Semi-Supervised Scientific Paper Classification. Em: XXIV SBBD- V WORKSHOP EM ALGORITMOS E APLICAÇÕES DE MINERAÇÃO DE DADOS, p. 1-10, 2009.
18.	LOPES, A. A.; Bertini, J. ; ZHAO, L.. Classification Based on the Optimal K-Associated Network. Em: 1st International Conference on Complex Sciences: Theory and Applications, v. 4, p. 1167-1177, 2009.
19.	MALETZKE, A. G. ; BATISTA, G. E. A. P. A. ; LEE, H. D. ; Wu, F. C.. Mineração de Séries Temporais por meio da Extração de Características e da Identificação de Motifs. Em: Encontro Nacional de Inteligência Artificial, p. 1-10, 2009.
20.	Marcacini, R. M. ; MOURA, Maria Fernanda ; REZENDE, S. O.. Uma Abordagem para Seleção de Grupos Significativos em Agrupamento Hierárquico de Documentos. Em: VII Encontro Nacional de Inteligência Artificial (ENIA), p. 1-10, 2009.
21.	MILARÉ, Claudia Regina ; BATISTA, G. E. A. P. A. ; CARVALHO, André Carlos Ponce de Leon Ferreira de. A Hybrid Approach to Learn with Imbalanced Classes using Evolutionary Algorithms. Em: International Conference Computational and Mathematical Methods in Science and Engineering, v. 2, p. 701-710, 2009.
22.	MILARÉ, Claudia Regina ; BATISTA, G. E. A. P. A. ; CARVALHO, André Carlos Ponce de Leon Ferreira de. Avaliação de uma Abordagem Híbrida para Aprender com Classes Desbalanceadas: Resultados Experimentais com o Indutor CN2. Em: Congresso da Academia Trinacional de Ciências, p. 1-10, 2009.
23.	NOGUEIRA, B. M. ; REZENDE, S. O.. Dois novos métodos para seleção não-supervisionada de atributos em Mineração de Textos. Em: XXXV Latin American Informatics Conference (CLEI 2009), v. 1, p. 1-10, 2009.
24.	NOGUEIRA, B. M. ; REZENDE, S. O.. Análise comparativa de duas abordagens para o agrupamento semi-supervisionado particional de documentos: sementes iniciais e restrições pareadas. Em: IV Congresso da Academia Trinacional de Ciências (C3N 2009), 2009.
25.	Nogueira, Tatiane Marques ; CAMARGO, H. A. ; REZENDE, S. O.. Tratamento de imprecisão e incerteza na identificação de documentos textuais similares. Em: Congresso da Academia Trinacional de Ciências, 2009.
26.	ODAN, F. K. ; FERRERO, Carlos Andres ; REIS, Luisa Fernanda Ribeiro ; MONARD, M. C.. Análise Comparativa dos Modelos kNN-TSP e Série de Fourier para Previsão de Demanda Horária para Abastecimento de Água. Em: Simpósio Brasileiro de Recursos Hídricos, v. 1, p. 1-20, 2009.
27.	PINHO, R. ; LOPES, A. A. ; OLIVEIRA, Maria Cristina de. Incremental Board: A Grid-based Space for Visualizing Dynamic Data Sets. Em: 24th Annual ACM Symposium on Applied Computing - Multimedia and Visualization Track, p. 1757-1764, 2009.
28.	PRATI, Ronaldo Cristiano ; BATISTA, G. E. A. P. A. ; MONARD, Maria Carolina. Data mining with imbalanced class distributions: concepts and methods. Em: Indian International Conference on Artificial Intelligence, v. 1, p. 359-376, 2009.
29.	Silva, D. F. ; BATISTA, G. E. A. P. A.. Uma Comparação Experimental de Métodos de Imputação de Valores Desconhecidos. Em: IV Congresso da Academia Trinacional de Ciências, p. 21-29, 2009.
30.	SOARES, M.V.B. ; PRATI, R. C. ; MONARD, M. C.. Utilizando Co-Training para Realimentação de Relevância na WEB. Em: International Workshop on Web and Text Intelligence, v. 1, p. 1-8, 2009.
31.	Álvarez, A. C. ; LOPES, A. A.. Information Extraction from Tagged Bibliographical References. Em: 2n International Worshop on Web and Text Intelligence, p. 1-9, 2009.

2008

1.	BERNARDINI, F. C. ; PRATI, R. C. ; MONARD, M. C.. Evolving Sets of Symbolic Classifiers into a Single Symbolic Classifier using Genetic Algorithms. Em: International Conference on Hybrid Intelligent Systems, v. 1, p. 525-539, 2008.
2.	CARVALHO, Veronica Oliveira de ; REZENDE, S. O.. Generalização de Regras de Associação Utilizando Conhecimento de Domínio e Avaliação do Conhecimento Generalizado. Em: VI Best MSc Dissertation/PhD Thesis Contest (CTDIA), v. 1, p. 1-10, 2008.
3.	CESTARI, D. M. ; MALETZKE, A. G. ; BATISTA, G. E. A. P. A.. Avaliação do Algoritmo de Força-Bruta para a Identificação de Padrões Freqüentes em Séries Temporais. Em: Congresso da Academia Trinacional de Ciências, p. 21-28, 2008.
4.	CINTRA, M. E. ; CAMARGO, Heloisa A ; MONARD, M. C.. Fuzzy Feature Subset Selection using the Wang & Mendel Method. Em: International Conference on Hybrid Intelligent Systems, v. 1, p. 590-595, 2008.
5.	CINTRA, M. E. ; CAMARGO, Heloisa A ; MONARD, M. C.. A Study on Techniques for the Automatic Generation of Membership Functions for Pattern Recognition. Em: Congresso da Academia Trinacional de Ciências, v. 1, p. 11-20, 2008.
6.	CONRADO, Merley ; REZENDE, S. O.. Avaliando a Geração de termso a partir de Coleções Textuais. Em: Workshop on MSc Dissertation and PhD Thesis in Artificial Intelligence, v. 1, p. 1-10, 2008.
7.	FERRERO, Carlos Andres ; MONARD, M. C. ; LEE, H. D. ; BENASSI, S. F. ; WU, F. Ch.. Previsão da Temperatura da Água no Reservatório de Itaipu Utilizando o Método Não-Linear k-Nearest Neighbor. Em: Congresso da Academia Trinacional de Ciências, v. 1, p. 1-10, 2008.
8.	FUJIMOTO, Magaly Lika ; REZENDE, S. O.. Uma abordagem para Incrementar o Potencial de Regras de Associação Generalizadas. Em: Workshop on MSc Dissertation and PhD Thesis in Artificial Intelligence, v. 1, p. 1-10, 2008.
9.	Giusti, R. ; BATISTA, G. E. A. P. A. ; PRATI, Ronaldo Cristiano. Evaluating Ranking Composition Methods for Multi-Objective Optimization of Knowledge Rules. Em: 8th International Conference on Hybrid Intelligent Systems, p. 537-542, 2008.
10.	HONORATO, Daniel de Faveri ; MONARD, M. C. ; LEE, H. D. ; WU, F. Ch.. Uma Abordagem de Extração de Terminología para Construção de uma Tabela Atributo-valor a partir de Documentos Não-estruturados. Em: Conferencia Latinoamericana de Informatica - CLEI, v. 1, p. 1-10, 2008.
11.	MALETZKE, A. G. ; BATISTA, G. E. A. P. A. ; LEE, H. D.. Uma Avaliação sobre a Identificação de Motifs em Séries Temporais. Em: Congresso da Academia Trinacional de Ciências, p. 1-10, 2008.
12.	Marcacini, R. M. ; ROSSI, R. G. ; MOURA, Maria Fernanda ; REZENDE, S. O.. Identificação de Competências por meio de Agrupamentos Hierárquicos. Em: Congresso da Academia Trinacional de Ciências, 2008.
13.	MARCACINI, R. M.; ROSSI, R. G. ; MOURA, M. F. ; REZENDE, S. O. ; SOLANGE OLIVEIRA REZENDE. Identificação de Competências por meio de Taxonomia de Tópicos Hierárquicos. Em: Congresso da Academia Trinacional de Ciências, p. 1-8, 2008.
14.	MATSUBARA, Edson Takashi ; PRATI, Ronaldo Cristiano ; BATISTA, G. E. A. P. A. ; MONARD, Maria Carolina. Missing value imputation using a semi-supervised rank aggregation approach. Em: Simpósio Brasileiro em Inteligência Artificial, v. 5249, p. 217-226, 2008.
15.	Motta, R. ; Almeida, L. ; LOPES, A. A.. Redes probabilísticas baseadas em similaridade na exploração de comunidades. Em: Web and Text Intelligence (SBIA-WTI 2008), p. 11-18, 2008.
16.	Motta, R. ; LOPES, A. A.. Rede complexa probabilística baseada em similaridade na classicação de dados com ruídos. Em: Web and Text Intelligence (SBIA-WTI 2008), p. 75-82, 2008.
17.	MOURA, Maria Feranda ; Marcacini, R. M. ; REZENDE, S. O.. Easily Labelling Hierarchical Document Clusters. Em: IV Workshop em Algoritmos e Aplicações de Mineração de Dados(WAAMD 2008) - XXIII Simpósio Brasileiro de Banco de Dados (SBBD 2008), v. 1, p. 37-45, 2008.
18.	MOURA, Maria Fernanda ; NOGUEIRA, B. M. ; CONRADO, Merley ; Santos, F. F. ; REZENDE, S. O.. Making good choices of non-redundant n-gramwords. Em: International Conference on Computer and Information Technology (ICCT 2008), v. 1, p. 64-71, 2008.
19.	NOGUEIRA, B. M. ; MOURA, Maria Fernanda ; CONRADO, Merley ; ROSSI, R. G. ; Marcacini, R. M. ; REZENDE, S. O.. Winning some of the document preprocessing challenges in a text mining process. Em: IV Workshop em Algoritmos e Aplicações de Mineração de Dados(WAAMD 2008) - XXIII Simpósio Brasileiro de Banco de Dados (SBBD 2008), v. 1, p. 10-18, 2008.
20.	NOGUEIRA, B. M. ; MOURA, Maria Fernanda ; CONRADO, Merley ; REZENDE, S. O.. Avaliação de métodos não-supervisionados de seleção de atributos para mineração de Textos. Em: I Workshop on Web and Text Intelligence, v. 1, p. 59-66, 2008.
21.	PRATI, R. C. ; MONARD, M. C.. Novas Abordagens em Aprendizado de Máquina para a Geração de Regras, Classes Desbalanceadas e Ordenação de Casos. Em: Concurso de Teses e Dissertações em Inteligência Artificial do SBIA, v. 1, p. 1-10, 2008.
22.	PRATI, Ronaldo Cristiano ; BATISTA, G. E. A. P. A. ; MONARD, Maria Carolina. A Study with Class Imbalance and Random Sampling for a Decision Tree Learning System. Em: IFIP World Computer Congress - TC 12 IFIP International Conference on Artificial Intelligence in Theory and Practice (IFIP AI 2008), v. 276, p. 131-140, 2008.
23.	ROSADA, L. F. ; BATISTA, G. E. A. P. A.. A Biblioteca DOL para Mineração de Dados e Séries Temporais. Em: Congresso da Academina Trinacional de Ciências, p. 11-20, 2008.
24.	SOARES, M.V.B. ; PRATI, R. C. ; MONARD, M. C.. Melhorias do Algoritmo de Stemming do Porter para o Portugues. Em: Workshop on Computational Intelligence do SBIA, v. 1, p. 1-6, 2008.
25.	Yamamoto, C. H. ; OLIVEIRA, M. C. F. ; REZENDE, S. O. ; NOMELINI, J.. Including the User in the Knowledge Discovery Loop: Interactive Itemset-Driven Rule Extraction. Em: Symposium on Applied Computing, v. 1, p. 1212-1217, 2008.

2007

1.	BATISTA, G. E. A. P. A.; PRATI, Ronaldo Cristiano ; MONARD, Maria Carolina ; Giusti, R. ; MILARÉ, Claudia Regina. Classificação Associativa utilizando Seleção e Construção de Regras: um Estudo Comparativo. Em: Encontro Nacional de Inteligência Artificial, v. 1, p. 1321-1330, 2007.
2.	CARVALHO, Veronica Oliveira de ; REZENDE, S. O. ; CASTRO, M.. An Analytical Evaluation of Objective Measures Behavior for Generalized Association Rules. Em: IEEE Symposium on Computational Intelligence and Data Mining - ICDM 2007, v. 1, p. 43-50, 2007.
3.	CARVALHO, Veronica Oliveira de ; REZENDE, S. O. ; CASTRO, M.. Obtaining and Evaluating Generalized Association Rules. Em: International Conference on Enterprise Information Systems (ICEIS 2007), v. 2, p. 310-315, 2007.
4.	DOMINGUES, Marcos Aurélio ; FIGUEIREDO, M. G. B. ; REZENDE, S. O.. Um Ambiente para Exploração de Regras de Associação Generalizadas. Em: XXVII Congresso da Sociedade Brasileira de Computação, v. 1, p. 1122-1131, 2007.
5.	FERRERO, Carlos Andres ; MONARD, M. C. ; LEE, H. D. ; COY, C. S. R. ; FAGUNDES, João José ; GOES, J. R. N. ; WU, F. Ch.. Aplicaçãoo de Métodos de Séries Temporais para a Identificaçãoo de Seções em Exames de Manometria Anorretal. Em: Congresso da Academia Trinacional de Ciências, v. 1, p. 1-10, 2007.
6.	HONORATO, Daniel de Faveri ; MONARD, M. C. ; CHERMAN, E. ; LEE, H. D. ; WU, F. Ch.. Construção de uma Representação Atributo-valor para Extração de Conhecimento a partir de Informações Semi-estruturadas de Laudos Médicos. Em: Conferencia Latinoamericana de Informatica - CLEI, v. 1, p. 1-12, 2007.
7.	MALETZKE, A. G. ; MONARD, M. C. ; LEE, H. D. ; WU, F. Ch.. Abordagens para Mineração de Séries Temporais aplicadas a Dados de Segurança de Barragens. Em: Congresso da Academia Trinacional de Ciências, v. 1, p. 11-20, 2007.
8.	Marcacini, R. M. ; MOURA, Maria Fernanda ; REZENDE, S. O.. Biblioteca Digital do IFM: uma aplicação para a organização da informação através de agrupamentos hierárquicos. Em: Webmedia 2007, v. 1, p. 1-6, 2007.
9.	MARCACINI, R. M.; MOURA, M. F. ; SOLANGE OLIVEIRA REZENDE. Biblioteca Digital do IFM: uma aplicação para a organização da informação por meio de agrupamentos hierárquicos. Em: III Workshop on Digital Libraries, p. 1-6, 2007.
10.	METZ, Jean ; MONARD, M. C.. Um Sistema Computacional para Avaliar e Interpretar os Clusters Gerados em Diferentes Níveis da Hierarquia. Em: Conferencia Latinoamericana de Informatica - CLEI, v. 1, p. 13-24, 2007.
11.	METZ, Jean ; MONARD, M. C.. Utilizando uma Abordagem Híbrida para Interpretação do Clustering Hierárquico. Em: III Workshop em Algoritmos e Aplicações de Mineração de Dados do SBBD da SBC, v. 1, p. 5-12, 2007.
12.	MOURA, Maria Fernanda ; REZENDE, S. O.. Choosing a Hierarchical Cluster Labelling Method for a Specific Domain Document Collection. Em: EPIA- Encontro Portugues de Inteligência Artificial, v. 1, p. 812-823, 2007.
13.	PRATI, Ronaldo Cristiano ; MONARD, Maria Carolina ; BATISTA, G. E. A. P. A.. A Hybrid Wrapper/filter Approach for Feature Subset Selection. Em: IX Argentine Symposium on Artificial Intelligence, v. 1, p. 23-34, 2007.
14.	REZENDE, S. O. ; CASTRO, M.. Evaluating Generalized Association Rules through Objective Measures. Em: IASTED International Conference on Artificial Intelligence and Applications, v. 1, p. 500-510, 2007.
15.	Yamamoto, C. H. ; OLIVEIRA, M. C. F. ; FUJIMOTO, Magaly Lika ; REZENDE, S. O.. An Itemset-Driven Cluster-Oriented Approach to Extract Compact and Meaningful Sets of Association Rules. Em: International Conference on Machine Learning and Applications, v. 1, p. 87-92, 2007.

2006

1.	BATISTA, G. E. A. P. A.; MILARÉ, Claudia Regina ; PRATI, Ronaldo Cristiano ; MONARD, Maria Carolina. A Comparison of Methods for Rule Subset Selection Applied to Associative Classification. Em: VIII Argentine Symposium on Artificial Intelligence, v. 1, p. 45-54, 2006.
2.	BERNARDINI, F. C. ; MONARD, M. C.. Uma Proposta para Evoluir Classificadores Simbolicos utilizando Algoritmos Genéticos. Em: XXXII Conferencia Latinoamericana de Informática, v. 1, p. 13-24, 2006.
3.	BERNARDINI, F. C. ; MONARD, M. C.. Utilizando a Abordagem Pittsburgh para Combinação de Classificadores Simbólicos. Em: Workshop de Teses e Dissertações de Inteligência Artificial do SBIA, v. 1, p. 11-20, 2006.
4.	CARVALHO, V. O. ; REZENDE, S. O. ; CASTRO, M.. Regras de Associação Generalizadas: Obtenção e Avaliação. Em: II Workshop de Algoritmos e Aplicações de Mineração de Dados., v. 1, 2006.
5.	FERRO, M. ; MONARD, M. C.. Uma Proposta para Facilitar a Manipulação de Atributos Numéricos por Sistemas de Programação Lógica Indutiva. Em: Workshop de Teses e Dissertações de Inteligência Artificial do SBIA, v. 1, p. 1-10, 2006.
6.	LEE, H. D. ; MONARD, M. C.. Seleção de Atributos Importantes para a Extração de Conhecimento de Bases de Dados. Em: Concurso de Teses e Dissertações em Inteligência Artificial do SBIA, v. 1, p. 11-20, 2006.
7.	LEE, H. D. ; MONARD, M. C. ; Voltolini, R.F. ; PRATI, R. C. ; WU, F. Ch.. A Simple Evaluation Model for Feature Subset Selection Algorithms. Em: Argentine Symposium on Artificial Intelligence, v. 1, p. 46-57, 2006.
8.	LEE, H. D. ; MONARD, M. C. ; WU, F. Ch.. A Fractal Dimension Based Filter Algorithm to Select Features for Supervised Learning. Em: International Joint Conference IBERAMIA/SBIA/SBRN, v. 4140, p. 278-288, 2006.
9.	LOPES, A. A.; MINGHIM, Rosane ; MELO, Vinícius ; PAULOVICH, F. V.. Mapping texts through dimensionality reduction and visualization techniques for interactive exploration of document collections. Em: SPIE - Conference on Visualization and Data Analysis, v. 6060, p. 01-12, 2006.
10.	MARTINS, Camila Delefrate ; REZENDE, S. O.. Construção semi-automátia de taxonomias para generalização de regras de associação. Em: 3rd Workshop on MSc dissertations and PhD thesis in Artificial Intelligence (WTDIA), v. 1, p. 1-10, 2006.
11.	MATSUBARA, E. T. ; MONARD, M. C.. O Algoritmo de Aprendizado Semi-supervisionado Co-training e sua Aplicação na Rotulação de Documentos. Em: Concurso de Teses e Dissertações em Inteligência Artificial do SBIA, v. 1, p. 1-10, 2006.
12.	MATSUBARA, E. T. ; MONARD, M. C. ; PRATI, R. C.. On the Class Distribution Labelling Step Sensitivity of Cotraining. Em: Artificial Intelligence in Theory and Practice, v. 217, p. 199-208, 2006.
13.	MINGHIM, Rosane ; PAULOVICH, F. V. ; LOPES, A. A.. Content-based text mapping using multi-dimensional projections for exploration of document collections. Em: SPIE - Conference on Visualization and Data Analysis, v. 6060, p. 1-12, 2006.
14.	PILA, A. D. ; GIUSTI, Rafael ; MONARD, M. C.. Um Sistema Evolutivo para a Construção de Regras de Conhecimento com Propriedades Específicas. Em: XXXII Conferencia Latinoamericana de Informática, v. 1, p. 1-12, 2006.
15.	PILA, A. D. ; GIUSTI, Rafael ; MONARD, M. C.. Uma Proposta para Criar Regras de Conhecimento com Propriedades Específicas. Em: Workshop on Computational Intelligence, v. 1, p. 7-12, 2006.
16.	PILA, A. D. ; GIUSTI, Rafael ; PRATI, R. C. ; MONARD, M. C.. A Multi-Objective Evolutionary Algorithm to Build Knowledge Classification Rules with Specific Properties. Em: International Conference on Hybrid Intelligent Systems, v. 1, p. 1-5, 2006.
17.	PRATI, R. C. ; MONARD, M. C.. Combinando Métodos de Seleção de Subconjuntos de Atributos Baseados na Abordagem Filtro. Em: 1st Workshop on Computational Intelligence, v. 1, p. 7-12, 2006.
18.	SINOARA, R. A. ; REZENDE, S. O.. A methodology for identifying interesting association rules by combining objective and subjective measures. Em: Jornadas Argentinas de Informatica e Investigacion Operativa - VIII Argentine Symposium on Artificial Intelligence, v. 1, p. 25-36, 2006.
19.	SINOARA, R. A. ; REZENDE, S. O.. Identificação de regras de associação interessantes por meio de análises com medidas objetivas e subjetivas. Em: 5th Best MSc dissertation/ PhD thesis contest (CTDIA'06), v. 1, p. 1-10, 2006.

2005

1.	BATISTA, G. E. A. P. A.; PRATI, Ronaldo Cristiano ; MONARD, Maria Carolina. Balancing Strategies and Class Overlapping. Em: VI International Symposium on Intelligent Data Analysis, v. 3646, p. 24-35, 2005.
2.	BERNARDINI, F. C. ; MONARD, M. C.. Methods for Constructing Symbolic Ensembles from Symbolic Classifiers. Em: Congress of Logic Applied to Technology, v. 132, p. 161-168, 2005.
3.	BERNARDINI, F. C. ; MONARD, M. C.. Uma Proposta para a Construção de Ensembles Simbólicos que Explicam suas Decisões. Em: Conferencia Latinoamericana de Informatica, v. 1, p. 151-162, 2005.
4.	BERNARDINI, F. C. ; MONARD, M. C. ; PRATI, R. C.. Constructing Ensembles of Symbolic Classifiers. Em: International Conference on Hybrid Intelligent Systems, v. 1, p. 315-320, 2005.
5.	DOMINGUES, Marcos Auréilo ; REZENDE, S. O.. Using Taxonomies to Facilitade the Analysis of the Association Rules. Em: The Second International Workshop on Knowledge Discovery and Ontologies (ECML/PKDD'05), v. 1, p. 59-66, 2005.
6.	DOMINGUES, Marcos Auréilo ; REZENDE, S. O.. GART: Um Algoritmo para Generalização de Regras de Associação. Em: Workshop sobre algoritmos de mineração de dados (WAMD-2005), v. 1, p. 1-8, 2005.
7.	DOMINGUES, Marcos Auréilo ; REZENDE, S. O.. Post-processing of Association Rules using Taxonomies. Em: Twenth Portuguese Conference on Artificial Intelligence (EPIA-2005), v. 1, p. 192-197, 2005.
8.	FERRO, M. ; MONARD, M. C.. Uma Ferramenta para Converter Exemplos de Aprendizado do Formato Atributo-Valor para o Formato Apropriado ao Uso de Algoritmos de Programação Lógica Indutiva. Em: Conferencia Latinoamericana de Informatica, v. 1, p. 109-120, 2005.
9.	HONORATO, Daniel de Faveri ; LEE, H. D. ; MONARD, M. C. ; WU, F. Ch. ; MACHADO, Renato Bobsin ; PIETROBON NETO, Antonio ; FERRERO, Carlos Andres. Uma Metodologia para Auxiliar no Processo de Construção de Bases de Dados Estruturadas a Partir de Laudos Médicos. Em: V Encontro Nacional de Inteligência Artificial- ENIA da SBC, v. 1, p. 593-601, 2005.
10.	HONORATO, Daniel de Faveri ; LEE, H. D. ; WU, F. Ch. ; MONARD, M. C. ; FERRERO, Carlos Andres. Construção de uma Base de Dados Estruturada a partir de Laudos Médicos de Endoscopia Digestiva Alta. Em: Jornada Científica da UNIOESTE, v. 1, p. 06-12, 2005.
11.	LEE, H. D. ; MONARD, M. C.. Feature Subset Selection for Supervised Learning using Fractal Dimension. Em: Congress of Logic Applied to Technology, v. 132, p. 135-142, 2005.
12.	LEE, H. D. ; MONARD, M. C.. Seleção de Atributos Relevantes e não Redundantes Usando a Dimensão Fractal do Conjunto de Dados. Em: Encontro Nacional de Inteligência Artificial, v. 1, p. 444-453, 2005.
13.	LEE, H. D. ; MONARD, M. C. ; Voltolini, R.F. ; WU, F. Ch.. Proposta de um Algoritmo de Seleção de Atributos Importantes para Aprendizado Supervisionado utilizando a Dimensão Fractal para Tratamento de Redundância: Avaliação Experimental. Em: Workshop in Artificial Intelligence, v. 1, p. 1-10, 2005.
14.	MATSUBARA, Edson Takashi ; MONARD, Maria Carolina ; BATISTA, G. E. A. P. A.. Multi-view Semi-supervised Learning: An Approach to Obtain Different Views from Text Datasets. Em: Congress Of Logic Applied to Technology, v. 132, p. 97-104, 2005.
15.	MATSUBARA, Edson Takashi ; MONARD, Maria Carolina ; BATISTA, G. E. A. P. A.. Utilizando Algoritmos de Aprendizado Semi-supervisionados Multi-visão como Rotuladores de Textos. Em: III Workshop em Tecnologia de Informação e da Linguagem Humana-TIL da SBC, v. 1, p. 2108-2117, 2005.

2004

1.	BATISTA, G. E. A. P. A.; MONARD, Maria Carolina. Sniffer: um Ambiente Computacional para Gerenciamento de Experimentos de Aprendizado de Máquina Supervisionado. Em: WorkComp Sul, v. 1, p. 13-24, 2004.
2.	BATISTA, G. E. A. P. A.; MONARD, Maria Carolina ; BAZZAN, Ana Lucia Ceterich. Improving Rule induction Precision for Automatec Annotation by Balancing Skewed Data Sets. Em: International Symposium on Knowledge Exploration in Life Science Informatics, v. 3303, p. 20-32, 2004.
3.	BRASIL, C. R. S. ; LOPES, A. A.. Mineração de Artigos Científicos usando Aprendizado de Máquina. Em: Jornadas Chilenas de la Computación - V Workshop de Inteligencia Artificial, p. 1-7, 2004.
4.	CHIARA, Ramon ; MONARD, M. C.. Aplicação de Técnicas de Mineração de Dados em Logs de Servidores Web. Em: WORKCOMP-SUL, v. 1, p. 1-12, 2004.
5.	DOMINGUES, Marcos Aurélio ; REZENDE, S. O.. Generalização de Regras de Associação usando Taxonomias. Em: I WorkComp Sul, v. I, p. 1-10, 2004.
6.	MARTINS, Cláudia A ; MONARD, M. C. ; MATSUBARA, E. T.. Uma Metodologia para Auxiliar na Seleção de Atributos Relevantes usados por Algoritmos de Aprendizado no Processo de Mineração de Textos. Em: Conferencia Latinoamericana de Informatica, v. 1, p. 21-32, 2004.
7.	MATSUBARA, Edson Takashi ; MONARD, Maria Carolina ; BATISTA, G. E. A. P. A.. Aprendizado Semi-supervisionado Multi-visão para a Classificação de Bases de Texto. Em: Workshop on Artificial Intelligence, v. 1, p. 1-9, 2004.
8.	MELANDA, Edson A ; REZENDE, S. O.. Combining quality measures to identify interesting association rules. Em: IX Ibero-American Conference on Artificial Intelligence, v. 3315, p. 441-543, 2004.
9.	MELO, Vinícius ; LOPES, A. A.. Identificação Eficiente de Referências Bibliográficas Duplicadas em um Corpora de Artigos Científicos. Em: II Workshop de Tese e Dissertações em Inteligência Artificial 2004, p. 71-80, 2004.
10.	MELO, Vinícius Veloso ; LOPES, A. A.. Usando as Referências Bibliográficas no Clustering de Artigos Científicos. Em: Jornadas Chilenas de la Computación - V Workshop de Inteligencia Artificial, p. 1-7, 2004.
11.	MILARÉ, Cláudia Regina ; BATISTA, G. E. A. P. A. ; CARVALHO, André Carlos Ponce de Leon Ferreira de ; MONARD, Maria Carolina. Applying Genetic and Symbolic Learning Algorithms to Extract Rules from Artificial Neural Networks. Em: Mexican International Conference on Artificial Intelligence, v. 2972, p. 833-843, 2004.
12.	PRATI, Ronaldo Cristiano ; BATISTA, G. E. A. P. A. ; MONARD, Maria Carolina. Class Imbalances versus Class Overlapping: an Analysis of a Learning System Behaviour. Em: Mexican International Conference on Artificial Intelligence, v. 2972, p. 312-321, 2004.
13.	PRATI, Ronaldo Cristiano ; BATISTA, G. E. A. P. A. ; MONARD, Maria Carolina. Learning with Class Skews and Small Disjuncts. Em: XVII Brazilian Symposium on Artificial Intelligence, v. 3171, p. 296-306, 2004.
14.	SANCHES, Marcelo Kaminski ; MONARD, M. C.. Proposta de um Algoritmo de Clustering Semi-supervisionado para Rotular Exemplos a Partir de Poucos Exemplos Rotulados. Em: Workshop in Artificial Intelligence, v. 1, p. 1-9, 2004.

2003

1.	BATISTA, G. E. A. P. A.; BAZZAN, Ana Lucia Ceterich ; MONARD, Maria Carolina. Balancing Training Data for Automated Annotation of Keywords: a Case Study. Em: Segundo Workshop Brasileiro em Bioinformática, v. 1, p. 21-28, 2003.
2.	BATISTA, G. E. A. P. A.; MONARD, Maria Carolina. Um Estudo Sobre a Efetividade do Método de Imputação Baseado no Algoritmo k-Vizinhos mais Próximos. Em: IV Workshop on Advances & Trends in AI for Problem Solving, v. 1, p. 1-6, 2003.
3.	BERNARDINI, F. C. ; MONARD, M. C. ; LEE, H. D. ; ESTEVES, S.C. Um Algoritmo para Selecionar Regras de Conhecimento Utilizando Medidas de Avaliação de Regras. Em: Workshop in Artificial Intelligence, v. 1, p. 7-13, 2003.
4.	BUOSI, T. ; REZENDE, S. O. ; CARPINETTI, Luiz César Ribeiro. A Engenharia de Requisitos na concepção de Sistemas de Medição de Desempenho: proposta de metodologia e levantamento de requisitos referenciais. Em: Congresso Brasileiro de Gestão do Produto, v. I, p. 1-10, 2003.
5.	DOMINGUES, Marcos Aurélio ; REZENDE, S. O. ; PAULA, M. F.. Implementação de Taxonomias para Regras de Associação em um Ambiente de Pós-processamento. Em: Workshop de Inteligência Artificial das Jornadas Chilenas de Computacion, p. 1-6, 2003.
6.	DOSUALDO, D. G. ; REZENDE, S. O.. Ambiente de Pós-Processamento de Regressão do DISCOVER. Em: Congress of Logic Applied to Technology, v. II, p. 139-146, 2003.
7.	GOMES, A. K. ; MONARD, M. C.. Um Módulo para Avaliação de Regras Induzidas por Algoritmos de Aprendizado de Máquina. Em: Congresso de Lógica Aplicada à Tecnologia, v. 2, p. 203-211, 2003.
8.	LEE, H. D. ; MONARD, M. C.. Seleção de Atributos para Algoritmos de Aprendizado de Máquina Supervisionado utilizando como Filtro a Dimensão Fractal (Trabalhos melhor avaliados das Jornadas Chilenas de Computación 2003). Em: Workshop in Artificial Intelligence, v. 1, p. 14-20, 2003.
9.	MARQUES, V. F. ; REZENDE, S. O.. Um Ambiente para Apoiar a Tomada de decisão do Programa de Melhoramento Genético da Raça Nelore. Em: Congress of Logic Applied to Technology, v. II, p. 163-170, 2003.
10.	MARTINS, Cláudia A ; MONARD, M. C. ; MATSUBARA, E. T.. Reducing the Dimensionality of Bag-of-Words Text Representation Used by Learning Algorithms. Em: Artificial Intelligence and Applications, v. 1, p. 49-58, 2003.
11.	MARTINS, Cláudia A ; MONARD, M. C. ; MATSUBARA, E. T.. Um Estudo de Caso utilizando uma Ferramenta Computacional que Auxilia na Redução da Dimensão da Representação de Documentos em Tarefas Preditivas de Mineração de Textos. Em: Workshop in Artificial Intelligence, v. 1, p. 21-27, 2003.
12.	MELANDA, E. A. ; REZENDE, S. O.. Uso Combinado de Medidas Objetivas como Filtro de Regras de Associação. Em: Congress of Logic Applied to Technology, v. II, p. 170-178, 2003.
13.	MELANDA, E. A. ; REZENDE, S. O.. Pós-processamento de Regras de Associação com o Uso de Medidas Objetivas. Em: Workshop de Inteligência Artificial das Jornadas Chilenas de Computacion, v. I, p. 1-6, 2003.
14.	MELO, Vinícius ; LOPES, A. A.. Extração e Identificação Automaticas de Informações Bibliográficas de Artigos Científicos. Em: Jornadas Chilenas de Computacion - IV Workshop de Inteligencia Artificial, p. 1-7, 2003.
15.	MONARD, Maria Carolina ; BATISTA, G. E. A. P. A.. Graphical Methods for Classifier Performance Evaluation. Em: Congress of Logic Applied to Technology, v. 1, p. 59-67, 2003.
16.	PRATI, R. C. ; GEROMINI, M.R. ; MONARD, M. C.. An Integrated Environment for Data Mining. Em: Congresso de Lógica Aplicada à Tecnologia, v. 2, p. 55-62, 2003.
17.	PRATI, R. C. ; GEROMINI, M.R. ; MONARD, M. C.. A Framework to Integrate Data Mining Components. Em: Conferencia Latinoamericana de Informatica, v. 1, p. 1-11, 2003.
18.	PRATI, R. C. ; GEROMINI, M.R. ; MONARD, M. C.. Um Framework Baseado em Patterns para Integração de Componentes de Mineração de Dados. Em: Workshop in Artificial Intelligence, v. 1, p. 34-43, 2003.
19.	PRATI, R. C. ; MONARD, M. C. ; CARVALHO, A. C. P. L.. A Method for Refining Knowledge Rules Using Exceptions. Em: Argentine Symposium on Artificial Intelligence, p. 1-11, 2003.
20.	PRATI, R. C. ; MONARD, M. C. ; CARVALHO, A. C. P. L.. Refinando Regras de Conhecimento por meio de Exceções (Premio melhor trabalho). Em: Encontro Nacional de Inteligência Artificial, v. 1, p. 477-486, 2003.
21.	PRATI, Ronaldo Cristiano ; BATISTA, G. E. A. P. A. ; MONARD, Maria Carolina. Uma Experiência no Balanceamento Artificial de Conjuntos de Dados para Aprendizado com Classes Desbalanceadas utilizando Análise ROC. Em: IV Workshop on Advances & Trends in AI for Problem Solving, v. 1, p. 28-33, 2003.
22.	PUGLIESI, J. B. ; REZENDE, S. O.. Medidas de Erro para Regras de Regressão. Em: Congresso Nacional da Sociedade Brasileira de Computação - IV Encontro Nacional de Inteligência Artificial, v. VII, p. 517-526, 2003.
23.	PUGLIESI, J. B. ; REZENDE, S. O.. Precision and Comprehensibility in the Integration of Regression Rules. Em: 4th International Conference Data Mining include Building Applications for CRM and Competitive Advantage, p. 557-566, 2003.
24.	PUGLIESI, J. B. ; SINOARA, R. A. ; REZENDE, S. O.. Precision Analysis in the Combination of Homogeneous and Heterogeneous Regressors. Em: Third IASTED International Conference on Artificial Intelligence and Applications - AIA, v. I, p. 1-10, 2003.

2002

1.	BATISTA, G. E. A. P. A.; MONARD, Maria Carolina. A Study of K-Nearest Neighbour as an Imputation Method. Em: Second International Conference on Hybrid Intelligent Systems, v. 87, p. 251-260, 2002.
2.	BATISTA, G. E. A. P. A.; MONARD, Maria Carolina. An Analysis of Four Missing Data Treatment Methods for Supervised Learning. Em: First International Workshop on Data Cleaning and Preprocessing, v. 1, p. 142-152, 2002.
3.	FACELI, K. ; CARVALHO, A. C. P. L. F. ; REZENDE, S. O.. Combining Intelligent Techniques For Sensor Fusion. Em: International Conference on Neural Information Processing (ICONIP), v. 4, p. 1998-2002, 2002.
4.	FELIX, L. C. M. ; REZENDE, S. O. ; MUÑOZ, L. B.. Characterizing Geological Behavior based in Knowledge Acquisition. Em: 1st Joint International Conference on Soft Computing and Intelligent Systems and 3rd International Symposium on Advanced Intelligent Systems (SCIS & ISIS'02), v. 1, 2002.
5.	LORENA, A. C. ; BATISTA, G. E. A. P. A. ; CARVALHO, André Carlos Ponce de Leon Ferreira de ; MONARD, Maria Carolina. The Influence of Noisy Patterns in the Performance of Learning Methods in the Splice Junction Recognition Problem. Em: Congresso Brasileiro de Redes Neurais, v. 1, p. 31-36, 2002.
6.	LORENA, A. C. ; BATISTA, G. E. A. P. A. ; CARVALHO, André Carlos Ponce de Leon Ferreira de ; MONARD, Maria Carolina. Splice Junction Recognition Using Machine Learning Techniques. Em: Primeiro Workshop Brasileiro de Bioinformática, v. 1, p. 32-39, 2002.
7.	MARTINS, Cláudia A ; MONARD, M. C.. Combining Clustering and Inductive Learning to Find and Interpret Patterns from Dataset. Em: ACIS International Conference on Computer Science, v. 1, p. 90-95, 2002.
8.	MILARÉ, Cláudia R ; CARVALHO, A. C. P. L. ; MONARD, M. C.. An Empirical Comparison of Trepan and Simbolic Learning Algorithms. Em: Mexican International Conference on Artificial Intelligence, v. 1, p. 272-281, 2002.
9.	MILARÉ, Cláudia R ; CARVALHO, A. C. P. L. ; MONARD, M. C.. Uma Abordagem para Explicação de Redes Neurais Artificiais. Em: Workshop de Teses e Dissetações em Inteligência Artificial, v. 1, p. 1-10, 2002.
10.	MONARD, Maria Carolina ; BATISTA, G. E. A. P. A.. Learning with Skewed Class Distributions. Em: Terceiro Congresso de Lógica Aplicada à Tecnologia, v. 1, p. 173-180, 2002.
11.	PILA, A. D. ; MONARD, M. C.. Rules Induced by Symbolic Learning Algorithms Using Rough Sets Reducts for Selecting Features: An Empirical Comparison with Other Filters. Em: Argentine Symposium on Artificial Intelligence, v. 1, p. 206-217, 2002.
12.	SANCHES, Marcelo Kaminski ; MONARD, M. C.. Rotulação Automática de Exemplos a Partir de Poucos Exemplos Rotulados utilizando Aprendizado de Máquina Supervisionado e não Supervisionado. Em: Workshop de Teses e Dissetações em Inteligência Artificial, v. 1, p. 1-10, 2002.

2001

1.	BARANAUSKAS, José Augusto ; MONARD, M. C.. An Approach for Extracting Symbolic Ensembles from Databases. Em: Iberian Latin American Congress on Computational Methods in Engineering, v. 1, p. 10-20, 2001.
2.	BATISTA, G. E. A. P. A.; MONARD, Maria Carolina. A Study of K-Nearest Neighbour as a Model-Based Method to Treat Missing Data. Em: Argentine Symposium on Artificial Intelligence, v. 30, p. 1-9, 2001.
3.	BATISTA, G. E. A. P. A.; MONARD, Maria Carolina. Uma Proposta para o Tratamento de Valores Desconhecidos Utilizando o Algoritmo K-Vizinhos mais Próximos. Em: Simpósio Brasileiro de Automação Inteligente, v. 1, p. 20-30, 2001.
4.	BOND, E. ; NAGAI, W. ; REZENDE, S. O. ; CARPINETTI, L. C. R. ; OLIVEIRA, R. B. T.. Medição de Desempenho Apoiada por Data Warehouse. Em: ENEGEP 2001 - XXI Encontro Nacional de Engenharia de Produção, v. 1, p. 1-8, 2001.
5.	BOND, E. ; REZENDE, S. O. ; CARPINETTI, L. C. R. ; NAGAI, W. ; OLIVEIRA, R. B. T.. Perfomance Measurement System in a Supply Chain Environment. Em: IV Simpósio de Administração da produção, v. 1, p. 844-853, 2001.
6.	BOND, E. ; REZENDE, S. O. ; CARPINETTI, L. C. R. ; NAGAI, W. ; OLIVEIRA, R. B. T.. Data Warehouse Aplicado as Informações de Chão de Fábrica para Otimizar a Gestão da Demanda. Em: COBEM-2001 - 16th Brazilian Congress of Mechanical Engineering, v. 1, p. 1-8, 2001.
7.	CALDAS JR, J. ; IMAMURA, C. Y. ; REZENDE, S. O.. Avaliação de um Algoritmo de Stemming para a Língua Portuguesa. Em: II Segundo Congresso de Lógica Aplicada à Tecnologia - LAPTEC'2001, v. 2, p. 267-274, 2001.
8.	FACELI, K. ; CARVALHO, A. C. P. L. F. ; REZENDE, S. O.. Fusão de Sensores Utilizando Combinação de Estimadores. Em: XXI Congresso Nacional da Sociedade Brasileira de Computação (III Encontro Nacional de Inteligência Artificial), v. 1, p. 1-10, 2001.
9.	FACELI, K. ; CARVALHO, A. C. P. L. F. ; REZENDE, S. O.. Experimentos em Aprendizado de Máquina para Fusão de Sensores. Em: V Brazilian Conference on Neural Networks - V Congresso Brasileiro de Redes Neurais, v. 2, p. 301-306, 2001.
10.	FACELI, K. ; CARVALHO, A. C. P. L. F. ; REZENDE, S. O.. Experiments on Machine Learning Techniques for Sensor Fusion. Em: IV International Conference on Computational Intelligence and Multimedia Applications, v. 1, p. 395-399, 2001.
11.	MILARÉ, Cláudia R ; CARVALHO, A. C. P. L. ; MONARD, M. C.. Extracting Rules from Neural Networks Using Symbolic Algorithms: Preliminary Results. Em: International Conference on Computational Intelligence and Multimedia Applications, v. 1, p. 384-388, 2001.
12.	NAGAI, W. ; REZENDE, S. O.. RR Evaluation - Um Ambiente Computacional para Avaliação de Regras de Regressão. Em: II Segundo Congresso de Lógica Aplicada à Tecnologia - LAPTEC'2001, v. 2, p. 275-282, 2001.
13.	OLIVEIRA, R. B. T. ; REZENDE, S. O.. Minador: A multi-agent System to support the KDD. Em: APPLIED INFORMATICS, v. 2, p. 735-738, 2001.
14.	PILA, A. D. ; MONARD, M. C.. An Empirical Comparison of Rough Sets Reducts and Other Filter Approaches for Feature Subset Selection. Em: Simpósio Iberoamericano de Reconhecimento de Padrões, v. 1, p. 41-49, 2001.
15.	PILA, A. D. ; MONARD, M. C.. Rough Sets Aplicado à Data Mining: Algumas Limitações. Em: Congresso de Lógica Aplicada à Tecnologia, v. 1, p. 203-211, 2001.
16.	PUGLIESI, J. B. ; REZENDE, S. O.. Intelligent Hybrid System for a Training and Teaching Environment: Architecture and Evaluation. Em: Argentine Symposium in Artificial Intelligence (ASAI'2001), v. 1, p. 10-18, 2001.
17.	SIMÃO, A.S. ; SUGETA, T. ; MALDONADO, José Carlos ; MONARD, M. C.. Um Estudo de Caso para Prototipação de Ferramentas de Apoio para o Teste Estrutural. Em: Jornadas Iberoamericanas de Ingenieria del Software e Ingenieria del Conocimiento, v. 1, p. 15-22, 2001.
18.	SOUSA, H. C. ; CARVALHO, A. C. P. L. F. ; REZENDE, S. O.. Implementação de Redes Neurais Artificiais e Algoritmos Construtivos como Componentes COM. Em: XXI Congresso Nacional da Sociedade Brasileira de Computação (III Encontro Nacional de Inteligência Artificial), v. 1, p. 1-10, 2001.

2000

1.	BARANAUSKAS, J. A. ; MONARD, Maria Carolina ; BATISTA, G. E. A. P. A.. A Computational Environment for Extracting Rules from Data Bases. Em: International Conference on Data Mining, p. 321-330, 2000.
2.	BARANAUSKAS, José Augusto ; MONARD, M. C.. An Environment for Rule Extraction and Evaluation from Databases. Em: IBERAMIA-SBIA 2000, p. 187-196, 2000.
3.	BATISTA, G. E. A. P. A.; CARVALHO, André Carlos Ponce de Leon Ferreira de ; MONARD, Maria Carolina. Applying One-sided Selection to Unbalanced Datasets (Best paper award). Em: Mexican International Conference on Artificial Intelligence, v. 1793, p. 315-325, 2000.
4.	CAULKINS, C. W. ; MONARD, M. C.. Extração de Conhecimento sobre Gado Nelore através de Programação Lógica Indutiva. Em: Iberian Latin American Congress on Computational Methods in Engineering, 2000.
5.	HORST, P.S. ; MONARD, M. C.. Um Sistema Computacional para Avaliação de Regras Induzidas por Algoritmos de Aprendizado de Máquina. Em: IBERAMIA-SBIA 2000, 2000.
6.	LEE, H. D. ; MONARD, M. C.. Indução Construtiva Guiada pelo Conhecimento: Um Estudo de Caso do Processamento de Sêmen Diagnóstico. Em: IBERAMIA-SBIA 2000, p. 157-166, 2000.
7.	LEE, H. D. ; MONARD, M. C.. A Practical Approach for Knowledge-Driven Constructive Induction. Em: Argentine Symposium on Artificial Intelligence, p. 71-86, 2000.
8.	MARTINS, Cláudia A ; MONARD, M. C.. Interpretação de Clusters usando Aprendizado de Máquina Simbolico. Em: Iberian Latin American Congress on Computational Methods in Engineering, 2000.
9.	MONARD, M. C.; BARANAUSKAS, José Augusto. Aplicações de Inteligência Artificial: Uma Visão Geral. Em: Congresso de Lógica Aplicada à Tecnologia, p. 339-348, 2000.
10.	NAGAI, W. ; REZENDE, S. O.. Pós-processamento de Conhecimento para Problemas de Regressão em Data Mining. Em: Simpósio Brasileiro de Inteigência Artificial (SBIA'00), 2000.
11.	REZENDE, S. O.; OLIVEIRA, R. B. T. ; IMAMURA, C. Y. ; GONÇALVES, L. S. M.. Text Mining em Documentos de Patentes usando o Sistema Minador. Em: 21st Iberian Latin-American Congress on Computacional Methods in Engineering (Data Mining Workshop), 2000.
12.	REZENDE, S. O.; ROCHA, C. A. J. ; LÔBO, R. B.. Bayesian Networks for Knowledge Discovery in a Database from the Program for Genetic Improvement of the Nelore Breed. Em: 2nd International Conference on Data Mining, p. 15-24, 2000.

1999

1.	BARANAUSKAS, José Augusto ; MONARD, M. C. ; HORST, P.S.. Evaluation of CN2 Induced Rules Using Feature Selection. Em: Argentine Symposium on Artificial Intelligence, v. 1, p. 141-154, 1999.
2.	BARANAUSKAS, José Augusto ; MONARD, M. C. ; HORST, P.S.. Evaluation of Feature Selection by Wrapping Around the CN2 Inducer. Em: Encontro Nacional de Inteligência Artificial, v. 4, p. 315-326, 1999.
3.	BATISTA, G.E.A.P.A. ; CARVALHO, A. C. P. L. ; MONARD, M. C.. Aplicando Seleção Unilateral em Conjuntos de Exemplos Desbalanceados: Resultados Iniciais. Em: Encontro Nacional de Inteligência Artificial, v. 4, p. 327-340, 1999.
4.	CAULKINS, C. W. ; OLIVEIRA, R. B. T. ; REZENDE, S. O. ; CARVALHO, A. C. P. L. F. ; MONARD, Maria Carolina. Applying Neural Networks to Determine Vibration Parameters in a Turbine. Em: International Joint Conference on Neural Networks, 1999.
5.	FACELI, K. ; CARVALHO, A. C. P. L. F. ; REZENDE, S. O. ; MELFI, F.. Sistemas Inteligentes para Fusão de Sensores. Em: XIX Congresso Nacional da Sociedade Brasileira de Computação (II Encontro Nacional de Inteligência Artificial), v. 4, p. 163-175, 1999.
6.	FELIX, L. C. M. ; REZENDE, S. O. ; MONARD, Maria Carolina ; CAULKINS, C. W.. Some Experiences with the Discretization Process: from Regression to Classification. Em: Argentine Symposium on Artificial Intelligence, v. 1, p. 155-166, 1999.
7.	FÉLIX, L.C.M. ; REZENDE, Solange O ; MONARD, M. C. ; CAULKINS, C. W.. Transforming a Regression into a Classification Problem using Hybrid Discretization. Em: Congresso Catalan de Inteligencia Artificial, v. 1, p. 146-153, 1999.
8.	PADILHA, T. P. P. ; REZENDE, S. O.. Algoritmos de Aprendizado de Máquina do Paradgma Estatístico para Aquisição de Conhecimento. Em: XIX Congresso Nacional da Sociedade Brasileira de Computação (II ENIA), v. 4, p. 383-395, 1999.
9.	PUGLIESI, J. B. ; REZENDE, S. O.. Intelligent Hybrid System for a Training and Teaching Environment. Em: Third International Conference on Computational Intelligence and Multimedia Applications (ICCIMA'99), p. 148-152, 1999.
10.	REZENDE, Solange O ; MONARD, M. C. ; CARVALHO, A. C. P. L.. Sistemas Inteligentes para Engenharia: Pesquisa e Desenvolvimento. Em: Workshop de Sistemas Inteligentes para Engenharia, v. 1, p. 42-56, 1999.
11.	ROCHA, C. A. J. ; REZENDE, S. O.. Redes Bayesianas para Extração de Conhecimento de Bases de Dados. Em: XIX Congresso Nacional da Sociedade Brasileira de Computação (II ENIA), v. 4, p. 149-161, 1999.

1998

1.	BARANAUSKAS, José Augusto ; MONARD, M. C.. Experimental Feature Selection Using The Wrapper Approach. Em: International Conference in Data Mining, v. 1, p. 161-170, 1998.
2.	BARANAUSKAS, José Augusto ; MONARD, M. C.. Metodologias para a Seleção de Atributos Relevantes. Em: Simpósio Brasileiro de Inteligência Artificial, 1998.
3.	BATISTA, G.E.A.P.A. ; MONARD, M. C.. Seleção Unilateral para Melhorar a Classificação de Conjuntos de Exemplos Desbalanceados. Em: Simpósio Brasileiro de Inteligência Artificial, 1998.
4.	CAULKINS, C. W. ; OLIVEIRA, R.B.T. ; CARVALHO, A. C. P. L. ; MONARD, M. C.. Applying Neural Networks to Determine Vibration Parameters in a Turbine. Em: International Joint Conference in Neural Networks, 1998.
5.	CAULKINS, C. W. ; OLIVEIRA, R. B. T. ; REZENDE, S. O. ; CARVALHO, A. C. P. L. F. ; MONARD, Maria Carolina. Aplicação de Redes Neurais para Determinação de Parâmetros de Vibração. Em: V Brasilian Symposium on Neural Networks, v. 1, p. 319-323, 1998.
6.	HORST, P. S. ; PADILHA, T. P. P. ; ROCHA, C. A. J. ; REZENDE, S. O. ; CARVALHO, A. C. P. L. F.. Knowledge Acquisition Using Symbolic and Connectionist Algorithms for Credit Evaluation. Em: IEEE World Congress on Computational Intelligence, p. 277-282, 1998.
7.	MARTINELI, E. ; DINIZ, H. ; CARVALHO, A. C. P. L. F. ; REZENDE, S. O.. Bankruptcy Prediction Using Connectionist and Symbolic Learning Algorithms. Em: the IEEE World Congress on Computational Intelligence, p. 271-276, 1998.
8.	MONARD, Maria Carolina ; MILARÉ, Cláudia Regina ; BATISTA, G. E. A. P. A.. A Tool to Explore Explanation Facilities in Neural Networks. Em: Australian Conference on Neural Networks, v. 1, p. 128-132, 1998.
9.	REZENDE, S. O.; OLIVEIRA, R. B. T. ; FELIX, L. C. M. ; ROCHA, C. A. J.. Visualization for Knowledge Discovery in Database. Em: 1ST International Conference on Data Mining, v. 1, p. 81-95, 1998.
10.	ROCHA, C. A. J. ; REZENDE, S. O.. Processo de Extração de Conhecimento de Bases de Dados. Em: SEPAI - Semana Paraense de Informática, p. 18-27, 1998.

(*) Relatório criado com produções desde 1995 até 2025
Data de processamento: 24/04/2025 08:39:13

1.	DE LIMA, VITOR MESAQUE ALVES ; BARBOSA, JACSON RODRIGUES ; MARCACINI, RICARDO MARCONDES. Issue detection and prioritization based on mobile application reviews. SOFTWARE QUALITY JOURNAL. v. 33, p. 1, issn: 0963-9314, 2025.
2.	Nespolo, Renan Guilherme ; Valejo, Alan ; Lopes, Alneu de Andrade. A Study of Transductive Graph-Based Regression. INTERNATIONAL JOURNAL OF COMPUTER INFORMATION SYSTEMS AND INDUSTRIAL MANAGEMENT APPLICATIONS. v. 17, p. 99-116, issn: 2150-7988, 2025.

1.	CALDEIRA, D. M. ; PEREIRA, A. L. ; MARCACINI, R. M. ; REZENDE, S. O.. Ciência de Dados na Administração Pública: Desafios e Oportunidades. Revista da CGU. v. 15, p. 9-13, issn: 1981-674X, 2023.
2.	CALDEIRA, D. M. ; REZENDE, S. O. ; Marcacini, R. M. ; PEREIRA, A. L.. Dossiê Especial Complementar ?Ciência de Dados na Administração Pública: Desafios e Oportunidades?. https://doi.org/10.36428/revistadacgu.v15i27.665. v. 15, p. 9-14, issn: 2595-668X, 2023.
3.	DO CARMO, PAULO RICARDO VIVIURKA ; MARCACINI, RICARDO ; VALLI, MARILIA ; SILVA-SILVA, JOÃO VICTOR ; FERREIRA, LEONARDO LUIZ GOMES ; PILON, ALAN CESAR ; DA SILVA BOLZANI, VANDERLAN ; ANDRICOPULO, ADRIANO D ; MARX, EDGARD. Development of a novel chemoinformatic tool for natural product databases. Future Drug Discovery. v. 5, p. 1, issn: 2631-3316, 2023.
4.	GÔLO, MARCOS PAULO SILVA ; DE SOUZA, MARIANA CARAVANTI ; ROSSI, RAFAEL GERALDELI ; REZENDE, SOLANGE OLIVEIRA ; NOGUEIRA, BRUNO MAGALHÃES ; MARCACINI, RICARDO MARCONDES. One-class learning for fake news detection through multimodal variational autoencoders. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE. v. 122, p. 106088, issn: 0952-1976, 2023.

1.	Cintra, Marcos E. ; MONARD, M. C. ; Camargo, Heloisa A.. Data base definition and feature selection for the genetic generation of fuzzy rule bases. Evolving Systems. v. 1, p. 241-252, issn: 1868-6478, 2010.
2.	MILARÉ, Claudia Regina ; BATISTA, G. E. A. P. A. ; CARVALHO, André Carlos Ponce de Leon Ferreira de. A Study of the Influence of Rule Measures in Classifiers Induced by Evolutionary Algorithms. IEEE Intelligent Informatics Bulletin. v. 11, p. 8-13, issn: 1727-5997, 2010.
3.	NOMELINI, J. ; REZENDE, S. O. ; Yamamoto, C. H. ; Bezerra, Luiz Antônio Framartino ; Vozzi, Pedro Alejandro ; LÔBO, R. B.. Emprego de Regras de Associação para extração de padrões mercadológicos de touros com Avaliação Genética da raça Nelore. REVISTA BRASILEIRA DE ZOOTECNIA-BRAZILIAN JOURNAL OF ANIMAL SCIENCE. v. 39, p. 2632-2639, issn: 1806-9290, 2010.
4.	Pinho, Roberto Dantas ; Oliveira, M. C. F. ; Andrade Lopes, Alneu. An incremental space to visualize dynamic data sets. MULTIMEDIA TOOLS AND APPLICATIONS. v. 50, p. 533-562, issn: 1380-7501, 2010.

1.	HONORATO, Daniel de Faveri ; CHERMAN, E. ; LEE, H. D. ; MONARD, M. C. ; WU, F. Ch.. Construction of an Attribute-Value Representation for Semi-structured Medical Findings Knowledge Extraction. CLEI Electronic Journal. v. 11, p. 1-12, issn: 0717-5000, 2008.
2.	PRATI, R. C. ; BATISTA, G.E.A.P.A. ; MONARD, M. C.. A Hybrid Wrapper Approach for Feature Subsect Selection. SADIO Electronic Journal of Informatics and Operations Research. v. 8, p. 12-24, issn: 1514-6774, 2008.
3.	PRATI, Ronaldo Cristiano ; BATISTA, G. E. A. P. A. ; MONARD, Maria Carolina. A hybrid wrapper/filter approach for feature subset selection. SADIO Electronic Journal of Informatics and Operations Research. v. 8, p. 12-24, issn: 1514-6774, 2008.
4.	PRATI, Ronaldo Cristiano ; Batista, Gustavo Enrique Almeida Prado Alves ; MONARD, Maria Carolina. Evaluating Classifiers Using ROC Curves. Revista IEEE América Latina. v. 6, p. 215-222, issn: 1548-0992, 2008.

1.	BATANA, A. ; BRUNO, J. A. O. ; MONARD, M. C.. Pressure dependence of ionic polarizabilities in crystals. Inorganic Materials. v. 41, n. 3, p. 293-297, issn: 0020-1685, 2005.
2.	DOMINGUES, Marcos Auréilo ; REZENDE, S. O.. Pós-processamento de Regras de Associação usando Taxonomias. INFOCOMP (UFLA). v. 4, n. 2, p. 26-37, issn: 1807-4545, 2005.

1.	Batista, Gustavo E. A. P. A.; Prati, Ronaldo C. ; MONARD, Maria Carolina. A study of the behavior of several methods for balancing machine learning training data. SIGKDD Explorations. v. 6, n. 1, p. 20, issn: 1931-0145, 2004.
2.	FACELI, K. ; CARVALHO, A. C. P. L. F. ; REZENDE, S. O.. Combining Intelligent Techniques for Sensor Fusion. APPLIED INTELLIGENCE. v. 20, n. 3, p. 199-213, issn: 0924-669X, 2004.
3.	PRATI, R. C. ; MONARD, M. C. ; CARVALHO, A. C. P. L.. A Method for Refining Knowledge Rules Using Exceptions.. SADIO Electronic Journal of Informatics and Operations Research. v. 6, n. 1, p. 53-65, issn: 1514-6774, 2004.
4.	PRATI, R. C. ; MONARD, M. C. ; CARVALHO, A. C. P. L.. Refinando Regras de Conhecimento por meio de Exceções.. Scientia (Unisinos). v. 14, n. 2, p. 115-132, issn: 0104-1770, 2004.
5.	PRATI, R. C. ; Monard, Maria Carolina ; CARVALHO, A. C. P. L. F. de. Looking for exceptions on knowledge rules induced from HIV cleavage data set. Genetics and Molecular Biology. v. 27, n. 4, p. 637-643, issn: 1415-4757, 2004.

1.	MILARÉ, Cláudia R ; CARVALHO, A. C. P. L. ; MONARD, M. C.. An Approach to Explain Neural Networks Using Symbolic Algorithms. International Journal of Computational Intelligence and Applications. v. 2, n. 4, p. 365-376, issn: 1469-0268, 2002.
2.	PRATI, R. C. ; BARANAUSKAS, José Augusto ; MONARD, M. C.. Padronização da Sintaxe e Informações sobre Regras Induzidas a Partir de Algoritmos de Aprendizado de Máquina Simbólico. REIC. Revista Eletrônica de Iniciação Científica (Online). v. 2, n. 3, p. 1-20, issn: 1519-8219, 2002.
3.	SIMÃO, A.S. ; SUGETA, T. ; MALDONADO, José Carlos ; MONARD, M. C.. PROLOG. CLEI Electronic Journal. v. 5, n. 1, p. 1-15, issn: 0717-5000, 2002.
4.	SINOARA, R. A. ; PUGLIESI, J. B. ; REZENDE, S. O.. Combinação de Classificadores no Processo Data Mining. REIC. Revista Eletrônica de Iniciação Científica. v. II, n. I, issn: 1519-8219, 2002.

1.	BATANA, A. ; BRUNO, Jorge ; MONARD, M. C.. Ionic Polarizabilities in Crystals at High Pressures. Journal of Physics and Chemistry of Solids. v. 62, p. 1243-1253, issn: 0022-3697, 2001.
2.	MONARD, M. C.; BRUNO, Jorge ; FAOUR, J. ; BATANA, A.. Pressure dependence of ionic polarizabilities in crystals. Computers & Chemistry. v. 25, p. 429-438, issn: 0097-8485, 2001.
3.	REZENDE, S. O.; PUGLIESI, J. B. ; FREIRE, M. E. P. ; NUNES, M. G. V.. Sistema Inteligente de Apoio a Treinamento e Ensino: Arquitetura e Avaliação. Revista Brasileira de Informática na Educação. v. 8, p. 89-100, issn: 1414-5685, 2001.
4.	SOUZA, G. P. L. ; REZENDE, S. O.. Modelos de Previsáo no Processo de Data Mining. Revista de Iniciação Científica (USP ). v. 1, n. 3, issn: 1516-7798, 2001.

1.	MONARD, M. C.; BATANA, A. ; BRUNO, Jorge. Calculation of the Pressure Dependence of Anion Polarizabilities in Crystals. Computers & Chemistry. v. 23, p. 493-501, issn: 0097-8485, 1999.
2.	NOBRE, C. ; MARTINELI, E. ; BRAGA, A. P. ; CARVALHO, A. C. P. L. F. ; REZENDE, S. O. ; BRAGA, J. L. ; LUDERMIR, T. B.. Knowledge Extraction: a Comparison Between Symbolic and Connectionist Methods. International Journal of Neural Systems. v. 9, p. 257-264, issn: 0129-0657, 1999.
3.	WILSON, M. ; MADEN, P.A. ; JEMMER, P. ; FOWLER, P.W. ; BATANA, A. ; BRUNO, Jorge ; MONARD, M. C.. Models of Anion Polarizibility. Molecular Physics. v. 96, n. 10, p. 1457-1467, issn: 0026-8976, 1999.

1.	BATISTA, G. E. A. P. A.; MONARD, Maria Carolina. AMPSAM: Um Ambiente Computacional para Medir a Performance de Sistemas de Aprendizado de Máquina. Em: Encontro Nacional de Inteligência Artificial, v. 1, p. 41-45, 1997.
2.	CAMARGO, Heloisa A ; MONARD, M. C.. Aquisição de Conhecimento Automática e Semiautomática: Integrando Paradigmas. Em: Encontro Nacional de Inteligência Artificial, v. 1, p. 31-40, 1997.
3.	CASTIÑEIRA, Maria Ines ; MONARD, M. C.. Idex: A Graphical Decision Support System. Em: International Conference Applied Informatics, p. 338-341, 1997.
4.	MILARÉ, Cláudia Regina ; BATISTA, G. E. A. P. A. ; MONARD, Maria Carolina. Uma Ferramenta para Extração de Conhecimento de Redes Neurais. Em: Congresso da Sociedade Brasileira de Computação, v. 1, p. 59-70, 1997.
5.	ROCHA, C. A. J. ; PADILHA, T. P. P. ; HORST, P. S. ; REZENDE, S. O.. Processo de Desenvolvimento de Sistemas Baseados em Conhecimento Considerando Aspectos de Qualidade. Em: XI SEPAI - Semana Paraense de Informática, p. 113-120, 1997.

1.	CASTIÑEIRA, Maria Ines ; MONARD, M. C.. Mecanismo de Explicacao Em Diagramas de Influencia. Em: Simpósio Brasileiro de Inteligência Artificial, p. 39-44, 1996.
2.	LOPES, A. A. Uso de Programação Lógica Indutiva em Raciocínio Baseado em Casos. Em: XIII Simpósio Brasileiro de Inteligência Artificial - SBIA'96, 1996.

1.	ANDRADE LOPES, A. ; MONARD, M. C.. Uso de Analise de Agrupamento e Analise de Classificacao em Representacao de Conhecimento Baseado em Casos. Em: II Congresso de Informática e Telecomunicações de Mato Grosso, p. 134-148, 1995.
2.	MONARD, M. C.; NICOLETTI, Maria Do Carmo. Performance Comparison In Real World Applications Of Two Symbolic Learning Systems For Knowledge Acquisition. Em: Simpósio Brasileiro de Automação Inteligênte, p. 231-236, 1995.
3.	NICOLETTI, Maria Do Carmo ; MONARD, M. C.. Constructing The Extensional Representation Of An Intensional Domain Theory In Inductive Logic Programming. Em: Simpósio Brasileiro de Inteligência Artificial, v. 991, p. 171-180, 1995.
4.	NICOLETTI, Maria Do Carmo ; MONARD, M. C.. Reviewing Ij-Determination And Related Concepts In Inductive Logic Programming. Em: International Conference of the Chilean Computer Society, p. 339-350, 1995.
5.	NICOLETTI, Maria Do Carmo ; MONARD, M. C.. An Empirical Comparison Between a Propositional and a Relational Machine Learning System when Learning From Attribute-Value Datasets. Em: Sixth International Fuzzy System Association World Congress, p. 93-96, 1995.
6.	ROZENFELD, H. ; REZENDE, S. O. ; SILVA, V. A.. Um Sistema de Diagnóstico para a Fábrica Integrada Modelo. Em: XIII Congresso Brasileiro de Engenharia Mecânica, 1995.

LABIC - Publicações em Periódicos e Conferências até Abril de 2025

Artigos completos publicados em periódicos

2025

2024

2023

2022

2021

2020

2019

2018

2017

2016

2015

2014

2013

2012

2011

2010

2009

2008

2007

2006

2005

2004

2003

2002

2001

2000

1999

Trabalhos completos publicados em anais de congressos

2025

2024

2023

2022

2021

2020

2019

2018

2017

2016

2015

2014

2013

2012

2011

2010

2009

2008

2007

2006

2005

2004

2003

2002

2001

2000

1999

1998

1997

1996

1995