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SUPERVISIONS:

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Current supervisions:

 

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  • PhD students

    • Rafael Mantovani, Using Metalearning for parameter tuning,  FAPESP grant, since 03/2013

    • Paulo Henrique Pisani, Novelty Detection in Biometic Data, FAPESP grant, since 03/2013

    • Everlândio Rebouças Queiroz Fernandes, Ensemble de Classificadores com Atualização Dinâmica para Análise de Risco de Crédito , FAPESP grant, since 08/2013

    • Kelly Cristina Ramos da Silva. Anomaly detection for categorical data. CAPES grant, sice 03/2014

    • Giovana Gellatti. Ensembles for anomaly detection, CAPES grant, since 07/2014

    • Kemilly Dearo Garcia, Unsupervised novelty detection in data streams, CAPES grant, since 03/2015

    • Victor Barella, Integrated data pre-processing, FAPESP grant, since 03/2016

    • Adriano Rivolli da Silva, Metalearning for multilabel classification, without grant, since 03/2016

    • Douglas Castilho, Deep learning for time series classification, without grant, since 03/2016

    • Everton Silva, Ensembles for imbalanced data, without  grant, since 03/2016

    • Tiago Daniel Sá Cunha, Model Management for Recommender Systems using Metalearning, Universidade do Porto, Portugal – co-supervisor,  since 08/2016.

 

  • MSc students

    • Igo Bueno Correia, CNPq, since 07/2015

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  • Post-doctoral researchers

    • Carlos Affonso, Wood quality classification using Image feature extraction and machine learning, Without Grant, since 03/2015

    • Isvani Frías-Blanco, New approaches for learning decision trees in non-stationary data streams, FAPESP grant, since 08/2015

    • Davi Pereira dos Santos, Meta-learning in Active Learning, CNPq grant, since 04/2016

    • Luis Paulo Garcia, Using Complexity Indices for Noise Pattern Recognition in the Data Preprocessing, CNPq grant, since 07/2016

    • Humberto Brandão, Binary classification combining features extracted by Deep Learning, CAPES Grant, since 09/2016

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Past student supervisions:

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  • PhD students

    • Werner Siegfried Hanisch, Desenvolvimento de Modelos Mecanístico e Neural para o Processo de Lodos Ativados de Tratamento de Esgotos Domésticos (Development of Mechanist and Neural Models for the Activated Sludge Process Treating Domestic Sewage), São Carlos Engineering School -University of São Paulo, 1999. Currently, Assistant Professor at Universidade Federal de São Paulo

    • Ricardo Barz Sovat, Combinando Redes Neurais Artificiais e Raciocínio Baseado em Casos (Combining Artificial Neural Networks and Case-Based Reasoning), ICMC-USP, Brazil,, 2002. Currently, Assistant Professor at Instituto Federal de Educação, Ciência e Tecnologia de São Paulo

    • Alexandre Botazzo Delben, Algoritmos Genéticos Híbridos para o Planejamento de Sistemas Hidroelétricos (Energy Restoration Using Genetic Algorithms), São Carlos Engineering School, USP, Brazil,, 2002 (as co-supervision, the supervisor was Prof. Newton Bretas from São Carlos Engineering School-University of São Paulo, Brazil). Currently, Associate Professor at Universidade de São Paulo

    • Estéfane George LacerdaModel Selection of RBF Networks via Genetic Algorithms, Center of Informatics - Federal University of Pernambuco, 2003 (). Currently, Researcher ar Universidade Federal do Rio Grande do Norte

    • Cláudia Regina Milaré, Extração de Conhecimento de Redes Neurais (Knowledge Extraction from Neural Networks), ICMC-USP, Brazil,Currently, Assistant Professor at Centro Universitário das Faculdades Associadas de Ensino

    • Antonio Valério Neto, Processamento e Análise de Imagens para Medição de Vícios de Refração Ocular (Image Processing and Analysis to Measure Ocular Refractive Vicious), ICMC-USP, Brazil,().

    • Patricia Leite Teixeira, Algoritmos Genéticos Híbridos para o Planejamento de Sistemas Hidroelétricos (Hybrid Genetic Algorithms for Hydroletric Systems Planning), EESC/ Universidade de São Paulo, Brazil, 2003 (as co-supervisor, the supervisor was Dr Adriano França from São Carlos Engineering School-University of São Paulo, Brazil).

    • Ana Carolina Lorena, Investigação de Estratégias para Geração de Máquinas de Vetores de Suporte Classification Multiclasses (Investigation of Strategies for the Generation of Multiclass Support Vector Machines), ICMC-USP, 2006.

    • Katti Faceli, Combinação de clusters para Análise de Expressão Gênica (Cluster Ensemble for Gene Expression Analysis), ICMC-USP, 2006.

    • Eduardo Spinola, Detecção de Novidade com Aplicação a Fluxos Contínuos de Dados (Novelty Detection with Application to Data Streams), ICMC-USP, 2008.

    • Luiz Carlos G. Lopes, Aplicação de algoritmos genéticos híbridos na resolução de problemas numéricos (Applying Hybrid Genetic Algorithms to Solve Numerical problems), Universidade da Madeira, Portugal, 2008.

    • Rodrigo Bianchi, Extração de Conhecimento de Classificadores de Margens Largas Aplicadas à Análise de Expressão Gênica (Knowledge Extraction from Large Margin for Gene Expression Analysis), ICMC-USP, Brazil, 2008.

    • Débora Medeiros, Gene Semi-supervised Clustering Using Text Mining, ICMC-USP, Brazil, 2010.

    • Bruno Feres de Souza, Using Meta-Learning and Bioinspired Algorithms for Parameters Tunnig. ICMC-USP, 2010

    • Marcio Basgalupp, Induction of decision trees for classification using Evolutionary Computation, ICMC-USP, 2010.

    • Mariá Cristina Vasconcelos Nascimento, Metaheuristics for the graph clustering problem (co-supervised by Dr Franklina Toledo), ICMC-USP, 2010.

    • Sabrina de Oliveira. Análise do efeito proliferativo da desintegrina Alternagina-C (ALT-C) em células precursoras endoteliais por técnicas proteômicas, Biotechnology, Universidade Federal de São Carlos, (Heloisa Sobreiro Selistre de Araújo, Federal University of São Carlos, UFSCar, Brazil).

    • Jorge Kanda, Meta-aprendizado em Otimização, Meta-learning for Optimization, ICMC-USP, 2011, Grant from FAPEAM. Currently, Assistant Professor at Universidade Federal do Amazonas.

    • José Augusto de Andrade, Attribute Selections for Clustering in Bioinformatics, ICMC-USP, July 2013, Grant from CNPq, Currently Assistant Professor Institufo Federal de Sergipe, Brazil.

    • André Rossi, Meta-learning for Data streams, ICMC-USP, 2013, Grant from FAPESP. Currently, Assistant Professor in the UNESP, Campus of Itapeva, Brazil.

    • Rosane Vallim Maffei, machine learning for data streams in computer games, ICMC-USP, May 2013, Grant from FAPESP, Currently Microsoft.

    • Ricardo Cerri, Hierarchical end multilabel classification, since March 2010, Grant from FAPESP. Currently, Assistant Professor in the Universidade Federal de São Carlos, São Carlos Campus, Brazil.

    • Rodrigo Coelho Barros: Evolving tree induction algorithms by evolutionary programming, December 2013, Grant from FAPESP. Currently, Assistant Professor PUC Rio Grande do Sul, Brazil.

    • Elaine Ribeiro de Faria, Novelty detection using clustering algorithms, June 2014. Currently, Assistant Professor in the Universidade Federal de Uberlandia, Brazil.

    • Ivani de Oliveira Negrão Lopes, Semi-supervised learning for microRNA detection, June 2014. Currently, Researcher in the Embrapa Soja, Brazil.

    • Davi Pereira dos Santos, Using ensembles for novelty detection, April 2015. Currently, Postdoc at ICMC-USP, CNPq Grant, Brazil.

    • Luis Paulo Faina Garcia, Data pre-processing by noise detection, June 2015. Currently, Postdoc at ICMC-USP, CNPq Grant, Brazil.

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  • MSc students

    • Claudia Regina MilaréSistemas Híbridos Inteligentes: Redes Neurais e Raciocínio Baseado em Casos (Hybrid Intelligent Systems: Neural Networks and Case-Based Reasoning), ICMC-USP, 1997.

    • Elson Felix Mendes FilhoAvaliação de Crédito utilizando Redes Neurais Artificiais Evolutivas (Credit Evaluation Using Evolutive Artificial Neural Networks), ICMC-USP, 1997.

    • Paulo Sérgio Prampero, Combinação de Estimadores para Reconhecimento de Padrões (Estimators Combination for Pattern Recognition), ICMC-USP, 1998.

    • Ernesto Cuadros Vargas, Kipu: Um Simulador para Redes Neurais Construtivas (Kipu: A Simulator for Constructive Neural Networks), ICMC-USP, 1998.

    • Estefane Lacerda, Otimização de Redes Neurais do tipo Radial Basis Function utilizando Algoritmos Genéticos (Radial Basis Function Neural Networks Optimization Using Genetic Algorithms), ICMC-USP, 1999.

    • Edmar MartinelliExtração de Conhecimento de Redes Neurais Artificiais (Knowledge Extraction from Artificial Neural Networks), ICMC-USP, 1999.

    • Hélio DinizCombinação de Redes Neurais e Métodos Estocásticos para Previsão de Séries Temporais (Combining Neural Networks and Sthocastic Methods for Time Series Analysis), ICMC-USP, 1999.

    • Fábio MelfiUtilização de Redes Neurais para Definição de Trajetória de Robôs Móveis (Using Neural for Mobile Robots Treajectory Definition), ICMC-USP, 1999.

    • Marco Antônio Alvarez VegaAvaliação de Técnicas de Prunning para Redes Neurais Artificiais (Evaluation of Pruning Techniques for Artificial Neural Networks), ICMC-USP, 1999.

    • Humberto de Sousa, Utilização de Redes Neurais Contrutivas para Reconhecimento de Padrões (Using Constructive Neural Networks for Pattern Recognition), ICMC-USP, 2000.

    • Katti Faceli, Fusão de Sensores Utilizando Combinação de Técnicas de Inteligência Artificial (Sensor Fusion through combination of Fuzzy Techniques), ICMC-USP, 2001.

    • Thiago Turchetti Maia, Estratégias para combinação de técnicas de Boosting e Support Vector Machines, Electrical Engineering School, Federal University of Minas Gerais, 2003 (as co-supervisor, the supervisor was Dr. Antonio de P. Braga from Electrical Engineering School, Federal University of Minas Gerais, Brazil).

    • Alfredo Lanari, Hipermídia Adaptativa Utilizando Redes Neurais (Adaptative Hypermidia Using Neural Networks), ICMC-USP, 2004.

    • Cláudio Policastro, Adaptação em Sistemas Híbridos de RBC (Adaptation in Hybrid CBRs), ICMC-USP, 2004.

    • Bruno Feres de Souza, Seleção de Atributos por Algoritmos Genéticos para Classificação de Dados de Expressão Genica (Attributes Selection by Genetic Algorithms for Classification of Gene Expression Data), ICMC-USP, 2005

    • Sabrina de Oliveira de Sousa, Utilizando Algoritmos Genéticos para o Alinhamento de Seqüências (Using Genetic Algorithms for Sequence Alignment), Genetics/UFSCar, 2005 (as co-supervisor, the supervisor was Dr. Pedro Galetti from Genetics Department, Federal University of São Carlos, Brazil).

    • Murilo Coelho Naldi, Agrupamento de Dados Usando Algoritmos Genéticos (Clustering Using Genetic Algorithms), ICMC-USP, 2006.

    • Giampaolo Libralão, Detecção de Ruídos em Dados de Expressão Gênica (Noise Detection in Gene Expression Data), ICMC-USP, 2007.

    • Eduardo de Paula Costa, Investigação de Técnicas de Classificação Hierárquica para Problemas de Bioinformática (Investigation of Hierarchical Classification Techniques for Bioinformatics Problems), ICMC-USP, 2008.

    • André Rossi, Bioinspired Parameter Adjustment, ICMC-USP, 2009.

    • Cerri, R., Hierarquical Multi-Label Classifiers, ICMC-USP, 2010.

    • Rosane Maffei, Multi-Label Classification Using Learning Classifiers, 2010.

    • Luiz Henrique Nogueira Lorena. Seleção de atributos para classificação com uma única classe, UNIFESP, 2014.

    • Victor Hugo. Using metalearning to deal with imbalance in hierarchical classification, ICMC-USP, 2014.

 

  • Post-doctoral researchers

    • Alexandre Cláudio Botazzo Delbem, Using Evolutionary Computation in Bioinformatics, from 04/2002 to 02/2003, Grant from CNPq (Currently, Associate Professor Universidade de São Paulo)

    • Marcílio Carlos Pereira Souto, Computability of Hybrid Neural Networks, from 08/2002to 09/2003, Grant from FAPESP (Currently, Full Professor University of Orleans, France)

    • Renato Tinos, Temporal Genetic Algorithms, from 03/2003 to 03/2004, Grant from CNPq (Currently, Associate Professor Universidade de São Paulo)

    • Arthur Plínio de Sousa Braga, Fault Detection in Engines, from 06/2004 to 04/2005, Grant from CNPq and FAPESP (Currently, Associate Professor Universidade Federal do Ceará)

    • Ana Carolina Lorena, Multiclass Classification, from 10/2006 to 09/2007, Grant from CNPq (Currently, Assistant Professor Universidade Federal de São Paulo)

    • Katti Faceli, Ensemble of Clustering Techniques, from 11/2006 to 12/2007, Grant from FAPESP (Currently, Assistant Professor Universidade Federal de São Carlos)

    • Antônio Nilder, Data Mining for Credit Analysis, from 03/2007 to 12/2007, Grant from Northeast Brazilian Bank

    • Daniel Luís Barreiro, Music Composition by Genetic Algorithms, from 06/2008 to 10/2008, Grant from CNPq (Currently, Assistant Professor Universidade Federal de Uberlândia)

    • Cláudia Milaré, from 03/2009 to 01/2011, Grant from CNPq (Currently, Assistant Professor Centro Universitário São João da Boa Vista)

    • Bruno Feres de Souza, from 10/2010 to 10/2012, Grant from CNPq (Currently, Assistant Professor Universidade Federal do Maranhão)

    • Tiago Silva das Silva, from 05/2012 to 11/2013, Grant from CNPq and FAPESP (Currently, Assistant Professor Universidade Federal de São Paulo)

    • Eduardo Costa, from 12/2013 to 12/2014, Grant from CAPES (Currently, Chef Scientist Dow Chemistry, Cravinhos )

    • Soledad Espezua, from 01/2014 to 08/2016, Grants from CNPq and CAPES (Currently, Substitute Professor Catholic University of Lima)

    • Edwin Villanueva, from 01/2014 to 10/2016, Grants fromFAPESP and CNPq (Currently, Assistant Professor Catholic University of Lima)

    • Tomas Horvath, from 08/2015 to 09/2016, Grant from CAPES (Currently,Head of Data Science and Engeneering Department at ELTE Faculty of Informatics, Hungary)

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