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Artigos completos publicados em periódicos


Número total de itens: 171

2025

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.

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.

2023

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.

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.

2010

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.

2009

1.   Victor Brum Soares, Matheus ; PRATI, R. C. ; MONARD, M. C.. WCI 02 Improvements on the Porter's Stemming Algorithm for Portuguese. Revista IEEE América Latina. v. 7, p. 472-477, issn: 1548-0992, 2009.

2008

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.

2007

1.   LOPES, A. A.; PINHO, R. ; PAULOVICH, F. V. ; MINGHIM, Rosane. Visual text mining using association rules. Computers & Graphics. v. 31, p. 316-326, issn: 0097-8493, 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. Inteligencia Artificial. v. 10, p. 29-35, issn: 1137-3601, 2006.
2.   BERNARDINI, F. C. ; MONARD, M. C. ; PRATI, R. C.. Constructing Ensembles of Symbolic Classifiers. International Journal of Hybrid Intelligent Systems. v. 3, p. 159-167, issn: 1448-5869, 2006.
3.   LEE, H. D. ; MONARD, M. C. ; Voltolini, R.F. ; PRATI, R. C. ; WU, F. Ch.. A Simple Evaluation Model for Feature Subset Selection Algorithms. Inteligencia Artificial. v. 10, p. 9-17, issn: 1137-3601, 2006.
4.   SINOARA, R. A. ; REZENDE, S. O.. A methodology for identifying interesting association rules by combining objective and subjective measures. Inteligencia Artificial. v. 10, p. 19-27, issn: 1137-3601, 2006.

2005

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.

2004

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.

2003

1.   BARANAUSKAS, José Augusto ; MONARD, M. C.. Combining Symbolic Classifiers from Multiple Inducers. Knowledge-Based Systems. v. 16, n. 3, p. 129-136, issn: 0950-7051, 2003.
2.   BATISTA, G. E. A. P. A.; BAZZAN, Ana Lucia Ceterich ; MONARD, Maria Carolina. Balancing Training Data for Automated Annotation of Keywords: a Case Study. Revista Tecnologia da Informação. v. 3, n. 2, p. 15-20, issn: 1516-9197, 2003.
3.   BATISTA, G. E. A. P. A.; MONARD, Maria Carolina. AN ANALYSIS OF FOUR MISSING DATA TREATMENT METHODS FOR SUPERVISED LEARNING. Applied Artificial Intelligence. v. 17, n. 5-6, p. 519-533, issn: 0883-9514, 2003.
4.   LEE, H. D. ; MONARD, M. C.. Seleção de Atributos para Algoritmos de Aprendizado Supervisionado Utilizando como Filtro a Dimensão Fractal, Melhores trabalhos do ATAI 2003. Revista de la Sociedad Chilena de Ciencia de la Computación. v. 4, n. 1, p. 1-8, issn: 0717-4276, 2003.

2002

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.

2001

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.

2000

1.   FELIX, L. C. M. ; REZENDE, S. O. ; MONARD, Maria Carolina ; CAULKINS, C. W.. Transforming a Regression Problem into a Classification Problem using Hybrid Discretization. Computacion y Sistemas. v. 4, n. 1, p. 44-52, issn: 1405-5546, 2000.

1999

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.


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