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Capítulos de livros publicados


Número total de itens: 51

2024

1.   DOS SANTOS, NÍCOLAS ROQUE ; MINATEL, DIEGO ; VALEJO, ALAN DEMÉTRIUS BARIA ; de A. Lopes, Alneu. Bipartite Graph Coarsening for Text Classification Using Graph Neural Networks. Bipartite Graph Coarsening for Text Classification Using Graph Neural Networks. 1ed.Switzerland. Em: . : Springer Nature Switzerland. 2024.v. 14469, p. 589-604.
2.   MINATEL, DIEGO ; DOS SANTOS, NÍCOLAS ROQUE ; da Silva, Vinícius Ferreira ; CÚRI, MARIANA ; de Andrade Lopes, Alneu. Item Response Theory in Sample Reweighting to Build Fairer Classifiers. Communications in Computer and Information Science. 1ed.Switzerland. Em: . : Springer Nature Switzerland. 2024.v. 2142, p. 184-198.
3.   Nespolo, Renan Guilherme ; Valejo, Alan ; Lopes, Alneu de Andrade. Geolocalized Transductive Graph-Based Regression Applied to Sustainability Indicators Prediction. Em: Ajith Abraham, Anu Bajaj, Patrick Siarry, Kun Ma. (Org.). Lecture Notes in Networks and Systems. 1ed.Switzerland. : Springer Nature Switzerland. 2024.p. 471-482.
4.   Nespolo, Renan Guilherme ; VALEJO, ALAN DEMÉTRIUS BARIA ; Lopes, Alneu de Andrade. A Study of Transductive Graph-Based Regression. Lecture Notes in Networks and Systems. 1ed.Switzerland. Em: . : Springer Nature Switzerland. 2024.v. 1047, p. 350-359.

2023

1.   CASANOVA, E. ; SANTOS, V. G. ; SVARTMAN, F. R. F. ; LEITE, M. Q. ; CANDIDO JR, A. ; Marcacini, R. M. ; Solange Oliveira Rezende ; ALUÍSIO, Sandra Maria. Recursos para o processamento de fala. Em: Helena Medeiros Caseli; Maria das Graças Volpe Nunes. (Org.). Processamento de Linguagem Natural: Conceitos, Técnicas e Aplicações em Português. 1ed. 2023.v. 1, p. 1-30.
2.   SILVA, D. F.; ARCENCIO, G. G. ; M. JUNIOR, J. G. B. ; SOUZA, V. M. A. ; SILVA, Y. G. A.. Aprendizado de Máquina Supervisionado para Séries Temporais na Área da Saúde. Em: Natalia Castro Fernandes. (Org.). Minicursos do XXIII Simpósio Brasileiro de Computação Aplicada à Saúde. 1ed. 2023.p. 51-91.

2022

1.   REIS FILHO, I. J. ; MARTINS, L. H. D. ; PARMEZAN, A. R. S. ; Marcacini, R. M. ; Rezende, Solange Oliveira. Sequential Short-Text Classification from Multiple Textual Representations with Weak Supervision. Em: João Carlos Xavier-Junior, Ricardo Araújo Rios. (Org.). Intelligent Systems 11th Brazilian Conference, BRACIS 2022. 1ed. : Springer. 2022.v. 13653, p. 165-179.

2021

1.   CORRÊA, G. N. ; Solange Oliveira Rezende ; Marcacini, R. M.. Uso da mineração de textos na análise exploratória de artigos científicos. Em: Ricardo Augusto Manfredini, Geraldo Nunes Corrêa, Bruno Rodrigues de Oliveira e Suellen Teixeira Zavadzki de Pauli. (Org.). Aplicações de Machine Learning. 1ed. : Pantanal Editora. 2021.v. 1, p. 45-53.
2.   COSTA, Anna Helena Reali ; BARROS, Leliane Nunes de ; Rodrigues, Solange Oliveira Rezende ; SICHMAN, Jaime Simão ; NERI, H.. Trajetória acadêmica da inteligência artificial no Brasil. Em: COZMAN, F. G.; PLONSKI, G. A.; NERI, H.. (Org.). Inteligência artificial: avanços e tendências. 1ed.São Paulo. : Instituto de Estudos Avançados. 2021.v. 1, p. 30-66.
3.   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 Detect Fake News. Em: Britto, André and Valdivia Delgado, Karina. (Org.). Intelligent Systems. 1ed. : Springer International Publishing. 2021.v. II, p. 3-18.

2019

1.   Calçada, Dario Brito ; Rezende, Solange Oliveira ; Dwarkasing, Anandsing. Development of New Skills: Innovation and Sustainability in Industry 4.0. Encyclopedia of the UN Sustainable Development Goals. 1ed. Em: . : Springer International Publishing. 2019.p. 1-10.
2.   da Silva, Tiago Pinho ; Souza, Vinicius Mourão Alves ; Batista, Gustavo Enrique Almeida Prado Alves ; de Arruda Camargo, Heloisa. A Fuzzy Classifier for Data Streams with Infinitely Delayed Labels. Lecture Notes in Computer Science. 1ed. Em: . : Springer International Publishing. 2019.p. 287-295.
3.   dos Reis, Denis ; MALETZKE, ANDRÉ ; Cherman, Everton ; Batista, Gustavo. One-Class Quantification. Lecture Notes in Computer Science. 1ed. Em: . : Springer International Publishing. 2019.p. 273-289.
4.   Parmezan, Antonio Rafael Sabino ; SOUZA, VINICIUS M. A. ; Batista, Gustavo E. A. P. A.. Towards Hierarchical Classification of Data Streams. Lecture Notes in Computer Science. 1ed. Em: . : Springer International Publishing. 2019.p. 314-322.
5.   SUNDERMANN, CAMILA VACCARI ; de Pádua, Renan ; Tonon, Vítor Rodrigues ; DOMINGUES, Marcos Aurélio ; Rezende, Solange Oliveira. A Context-Aware Recommender Method Based on Text Mining. Lecture Notes in Computer Science. 1ed. Em: . : Springer International Publishing. 2019.p. 385-396.

2018

1.   Puma, R. ; Lopes, Alneu de Andrade. Reconstructing Pedestrian Trajectories from Partial Observations in the Urban Context. Em: Lossio-Ventura J.; Alatrista-Salas H.. (Org.). Reconstructing Pedestrian Trajectories from Partial Observations in the Urban Context. 1ed.Cham. : Spriger. 2018.v. 795, p. 137-148.
2.   Valejo, Alan ; FERREIRA, V. ; OLIVEIRA, Maria Cristina de ; Lopes, Alneu de Andrade. Community Detection in Bipartite Network: A Modified Coarsening Approach. Em: Lossio-Ventura J.; Alatrista-Salas H.. (Org.). Community Detection in Bipartite Network: A Modified Coarsening Approach.. 1ed.Cham. : Springer. 2018.v. 795, p. 122-136.

2017

1.   BERTON, LILIAN ; Vega-Oliveros, Didier A. ; VALVERDE-REBAZA, JORGE ; da Silva, Andre Tavares ; Lopes, Alneu de Andrade. Network Sampling Based on Centrality Measures for Relational Classification. Communications in Computer and Information Science. 1ed. Em: . : Springer International Publishing. 2017.v. 656, p. 43-56.

2015

1.   Drury, Brett ; Lopes, Alneu de Andrade. the identification of indicators of sentiment using a multi-view self-training algorithm. Em: Oslo Studies in Language 7 (1) / 2015 Alberto Simões; Anabela Barreiro; Diana Santos; Rui Sousa-Silva; Stella E. O. Tagnin. (Org.). Linguística, Informática e Tradução: Mundos que se Cruzam Homenagem a Belinda Maia. 1ed.Oslo. : University of Oslo. 2015.v. 7, p. 379-395.
2.   GIUSTI, RAFAEL ; SILVA, DIEGO F. ; Batista, Gustavo E. A. P. A.. Time Series Classification with Representation Ensembles. Lecture Notes in Computer Science. 1ed. Em: . : Springer International Publishing. 2015.v. 9385, p. 108-119.
3.   ROSSI, RAFAEL GERALDELI ; Rezende, Solange Oliveira ; DE ANDRADE LOPES, ALNEU. Term Network Approach for Transductive Classification. Lecture Notes in Computer Science. 1ed. Em: Alexander Gelbukh. (Org.). Lecture Notes in Computer Science. 1ed.Switzerland. : Springer International Publishing. 2015.v. 9042, p. 497-515.
4.   SILVA, DIEGO F. ; CHEN, YANPING ; WHY, ADENA ; Keogh, Eamonn ; BATISTA, GUSTAVO E.A.P.A.. Automatic insect classification using Bayesian classifier and audio processing features. Em: Beresford R.M.; Froud K.J.; Kean J.M.; Worner S.P.. (Org.). The plant protection data tool box. 1ed.Auckland. : New Zealand Plant Protection Society. 2015.p. 155-160.

2014

1.   DOMINGUES, Marcos Aurélio ; Jorge, Alípio Mário ; SOARES, CARLOS ; Rezende, Solange Oliveira. Web Mining for the Integration of Data Mining with Business Intelligence in Web-Based Decision Support Systems. Integration of Data Mining in Business Intelligence Systems. 1ed. Em: . : IGI Global. 2014.p. 120-142.
2.   Drury, Brett ; Cardoso, Paula C. F. ; VALVERDE-REBAZA, JORGE ; Valejo, Alan ; Pereira, Fabio ; de Andrade Lopes, Alneu. An Open Source Tool for Crowd-Sourcing the Manual Annotation of Texts. Lecture Notes in Computer Science. 1ed. Em: . : Springer International Publishing. 2014.v. 8775, p. 268-273.
3.   Drury, Brett ; ROSSI, RAFAEL GERALDELI ; de Andrade Lopes, Alneu. Identification of Brazilian Portuguese Causative Verbs through a Weighted Graph Classification Strategy. Lecture Notes in Computer Science. 1ed. Em: . : Springer International Publishing. 2014.v. 8775, p. 274-279.
4.   Maletzke, André Gustavo ; Lee, Huei Diana ; Enrique, Gustavo ; Batista, Almeida Prado Alves ; Coy, Cláudio Saddy Rodrigues ; Fagundes, João José ; Chung, Wu Feng. Time Series Classification with Motifs and Characteristics. Studies in Computational Intelligence. 1ed. Em: . : Springer Berlin Heidelberg. 2014.p. 125-138.
5.   SILVA, D. P. ; JESUS, L. R. E. ; Rezende, S. O. ; MARCACINI, R. M.. Aprendizado não supervisionado de Websensors para extração automática de descritores sobre produção de celulose no Brasil. Em: Nídia Pavan Kuri; Luís Carlos Passarini. (Org.). Iniciação Científica e Tecnológica: o jovem pesquisador em ação. 4ed.São Carlos - SP. : EESC/USP. 2014.v. 1, p. 245-256.
6.   Valejo, Alan ; Drury, Brett ; VALVERDE-REBAZA, JORGE ; de Andrade Lopes, Alneu. Identification of Related Brazilian Portuguese Verb Groups Using Overlapping Community Detection. Em: Jorge Baptista; Nuno Mamede; Sara Candeias; Ivandré Paraboni; Thiago A. S. Pardo; Maria das Graças Volpe Nunes. (Org.). Lecture Notes in Computer Science. 1ed.Switzerland. : Springer International Publishing. 2014.v. 8775, p. 292-297.
7.   Valverde-Rebaza, Jorge Carlos ; de Andrade Lopes, Alneu. Link Prediction in Online Social Networks Using Group Information. Lecture Notes in Computer Science. 1ed. Em: . : Springer International Publishing. 2014.v. 8584, p. 31-45.

2013

1.   Cintra, Marcos E. ; Monard, Maria C. ; Camargo, Heloisa A.. On Rule Learning Methods: A Comparative Analysis of Classic and Fuzzy Approaches. Em: Yager, Ronald R.; Abbasov, Ali M.; Reformat, Marek Z.; Shahbazova, Shahnaz N.. (Org.). Studies in Fuzziness and Soft Computing. 1ed.Alemanha. : Springer Berlin Heidelberg. 2013.v. 291, p. 89-104.
2.   Shiguihara-Juárez, Pedro Nelson ; Andrade Lopes, Alneu. Learning Bayesian Network Using Parse Trees for Extraction of Protein-Protein Interaction. Lecture Notes in Computer Science. 1ed. Em: . : Springer Berlin Heidelberg. 2013.v. 7817, p. 347-358.

2012

1.   Valverde-Rebaza, Jorge Carlos ; Andrade Lopes, Alneu. Link Prediction in Complex Networks Based on Cluster Information. Em: Leliane Barros; Marcelo Finger; Aurora Pozo; Gustavo Gimenénez-Lugo; Marcos Castilho. (Org.). Lecture Notes in Computer Science. 1ed. : Springer Berlin Heidelberg. 2012.v. 7589, p. 92-101.

2011

1.   LEE, H. D. ; MONARD, M. C. ; HONORATO, Daniel de Faveri ; LORENA, A.C. ; FERRERO, Carlos Andres ; MALETZKE, A. G. ; ZALEWSKI, W. ; COY, C. S. R. ; FAGUNDES, João José ; WU, F. Ch.. Mapping Unstructured Data in Digital and Printed Documents Into Attribute-value Tables. Em: Rafael A. Espín Andrade; Jorge Marx Gómez; Ariel Racet Valdés. (Org.). Towards a Trans-disciplinary Technology for Business Intelligence, Gathering Knowledge Discovery, Knowledge Management and Decision Making. Aachen. : Shaker Verlag. 2011.v. 1, p. 198-209.

2009

1.   Motta, Robson ; de Andrade Lopes, Alneu ; de Oliveira, Maria Cristina F.. Centrality Measures from Complex Networks in Active Learning. Em: João Gama; Vitor Santos Costa; Alípio Jorge; Pavel Brazdil. (Org.). Lecture Notes in Computer Science. 1ed.Berlin. : Springer Berlin Heidelberg. 2009.v. 5808, p. 184-196.
2.   REZENDE, S. O.; MELANDA, E. A. ; FUJIMOTO, Magaly Lika ; SINOARA, R. A. ; CARVALHO, Veronica Oliveira de. Combining Data-Driven and User-Driven Evaluation Measures to Identify Interesting Rules. Em: Yanchang Zhao; Chengqi Zhang; Longbing Cao. (Org.). Post-Mining of Association Rules: Techniques for Effective Knowledge Extraction. 1ed.London. : Information Science Reference. 2009.v. 1, p. 38-55.
3.   Yamamoto, C. H. ; OLIVEIRA, M. C. F. ; REZENDE, S. O.. Visualization to Assist the Generation and Exploration of Association Rules. Em: Yanchang Zhao; Chengqi Zhang; Longbing Cao. (Org.). Post-Mining of Association Rules: Techniques for Effective Knowledge Extraction. 1ed.London. : Information Science Reference. 2009.v. 1, p. 224-245.

2008

1.   SOARES, M.V.B. ; PRATI, R. C. ; MONARD, M. C.. Melhorando o Desempenho Computacional e a Geração de Atributos na Ferramenta de Pré-processamento de Textos PreText. Em: Nidia Pavan Kuri; Paulo Cesar Segantinr. (Org.). Iniciação Científica e Tecnológica: o Jovem Pesquisador em Ação. 1ed.São Carlos. : CETEPE-EESC-USP. 2008.v. 1, p. 49-56.

2007

1.   MATSUBARA, E. T. ; MONARD, M. C. ; PRATI, R. C.. Exploring Unclassified Texts using Multi-view Semi-supervised Learning. Em: Hércules Antonio do Prado. (Org.). Emerging Techologies fof Text Mining: Techniques and Applications. 1ed.New York USA. : Information Science Reference. 2007.v. 1, p. 138-160.

2005

1.   MELO, Vinícius Veloso ; LOPES, A. A.. Efficient Identification of Duplicate Bibliographical References. Em: Kazumi Nakamatsu; Jair Minoro Abe. (Org.). Frontiers in Artificial Intelligence and Applications: Advances in Logic Based Intelligent Systems - Selected Papers of LAPTEC 2005. Amsterdam. : Ios Press. 2005.v. 132, p. 169-176.
2.   MONARD, M. C.; PRATI, R. C.. Aprendizado de Máquina Simbólico para Mineraçcão de Dados. Em: Maria Ines Castiñeira; Vera R.N. Schuhmacher. (Org.). XIII Escola Regional de Informática da SBC - Santa Catarina. 1ed.Florianópolis. : Sociedade Brasileira de Computação. 2005.v. 1, p. 1-26.

2003

1.   MONARD, M. C.; BARANAUSKAS, José Augusto. Conceitos Sobre Aprendizado de Máquina. Em: Solange O. Rezende. (Org.). Sistemas Inteligentes Fundamentos e Aplicações. 1ed.Barueri-SP. : Manole Ltda. 2003.v. 1, p. 89-114.
2.   MONARD, M. C.; BARANAUSKAS, José Augusto. Indução de Regras e Árvores de Decisão. Em: Solange O. Rezende. (Org.). Sistemas Inteligêntes Fundamentos e Aplicações. 1ed.Barueri-SP. : Manole Ltda. 2003.v. 1, p. 115-140.
3.   REZENDE, S. O.; PUGLIESI, J. B. ; MELANDA, E. A. ; PAULA, M. F.. Mineração de Dados. Em: Solange Oliveira Rezende. (Org.). Sistemas Inteligentes -- Fundamentos e Aplicações. 1ed.Barueri, SP. : Editora Manole Ltda. 2003.v. 1, p. 307-336.
4.   REZENDE, S. O.; PUGLIESI, J. B. ; VAREJÃO, F. M.. Sistemas Baseados em Conhecimento. Em: Solange Oliveria Rezende. (Org.). Sistemas Inteligentes: Fundamentos e Aplicações. 1ed.Barueri, SP. : Editora Manole Ltda. 2003.v. 1, p. 13-50.

2002

1.   CARVALHO, A. C. P. L. F. ; BRAGA, A. P. ; REZENDE, S. O. ; LUDERMIR, T. B. ; MARTINELI, E.. Understanding Credit Card Users Behaviour: A Data Mining Approach. Em: Ruhul A. Sarker; Hussein A. Abbass; Charles S. Newton. (Org.). Heuristic and Optimization for Knowledge Discovery. 1ed.USA. : Idea Group Publishing. 2002.v. 1, p. 241-262.

2000

1.   de Andrade Lopes, Alneu; Jorge, A. M.. Integrating Rules and Cases in Learning via Case Explanation and Paradigm Shift. Integrating Rules and Cases in Learning via Case Explanation and Paradigm Shift. 1ed.Berlin. Em: . : Springer Berlin Heidelberg. 2000.v. 1952, p. 33-44.
2.   de Andrade Lopes, Alneu; Jorge, Alípio. Combining Rule-Based and Case-Based Learning for Iterative Part-of-Speech Tagging. Em: Enrico Blanzieri; Luigi Portinale. (Org.). Lecture Notes in Computer Science. 1ed.Berlin. : Springer Berlin Heidelberg. 2000.v. 1898, p. 26-36.
3.   Jorge, Alípio ; Lopes, Alneu. Iterative Part-of-Speech Tagging. Em: James Cussens; Saso Dzeroski. (Org.). Learning Language in Logic - LNAI State-of-Art Survey. 1ed.Berlim. : Springer-Verlag. 2000.v. 1925, p. 170-183.
4.   MOREIRA, E. S. ; REZENDE, S. O.. Tecnologia da Informação. Em: Editora Banas. (Org.). Fábrica do Futuro - Entenda hoje como sua indústria vai ser amanhã. São Paulo. : Editora Banas. 2000.v. 1, p. 99-104.

1999

1.   MARTINELI, E. ; CARVALHO, A. C. P. L. F. ; REZENDE, S. O. ; MATIAS, A.. Rules extraction from Banks Bankrupt Data Using Connectionist and Symbolic Learning Algorithmos. Em: Abu-Mustafa S; LeBaron B; Lo A W; Weigend A S. (Org.). Computational Finance. : MIT Press. 1999.p. 517-535.

1998

1.   de Andrade Lopes, Alneu; Brazdil, Pavel. Redundant Covering with Global Evaluation in the RC1 Inductive Learner. Lecture Notes in Computer Science. 1ed.Berlin. Em: . : Springer Berlin Heidelberg. 1998.v. 1515, p. 111-120.


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