An integrated Boolean neural network for pattern classification. - André Carlos Ponce de Leon Ferreira de Carvalho; Michael C. Fairhurst; David L. Bisset (Pattern Recognit. Lett., 1994)

Evolutionary Design of MLP Neural Network Architectures. - Elson Felix Mendes Filho; André Carlos Ponce de Leon Ferreira de Carvalho (SBRN, 1997)

Combining Boolean Neural Architectures for Image Recognition. - André Carlos Ponce de Leon Ferreira de Carvalho; Michael C. Fairhurst; David L. Bisset (Connect. Sci., 1997)

A Genetic Algorithm Approach to Optimize the Operation Planning of Hydrothermal System Scheduling. - Adriano A. F. M. Carneiro; Patricia Texeira Leite; André Carlos Ponce de Leon Ferreira de Carvalho (SBRN, 1998)

Target Recognition using Evolutionary Neural Networks. - Elson Felix Mendes Filho; André Carlos Ponce de Leon Ferreira de Carvalho (SBRN, 1998)

Artificial Neural Network Applied to Power System Protection. - Mário Oleskovicz; Denis Vinicius Coury; André Carlos Ponce de Leon Ferreira de Carvalho (SBRN, 1998)

Evaluation of Neural Classifiers using Statistic Methods for Identification of Laryngeal Pathologies. - Marcelo de Oliveira Rosa; Jose Carlos Pereira; André Carlos Ponce de Leon Ferreira de Carvalho (SBRN, 1998)

Automatic Target Recognition using a Constructive Approach. - Ernesto Cuadros-Vargas; Humberto Costa de Sousa; André Carlos Ponce de Leon Ferreira de Carvalho (SBRN, 1998)

Applying Adaptive Logic Networks to character recognition. - André Carlos Ponce de Leon Ferreira de Carvalho; Michael C. Fairhurst (Pattern Recognit. Lett., 1998)

Signal processing and statistical procedures to identify laryngeal pathologies. - Marcelo de Oliveira Rosa; Jose Carlos Pereira; Marcos Grellet; André C. P. L. F. de Carvalho (ICECS, 1999)

Applying neural networks to determine vibration parameters in a turbine. - Chandler W. Caulkins; Robson B. T. Oliveira; André C. P. L. F. de Carvalho; Solange O. Rezende; Maria Carolina Monard (IJCNN, 1999)

Pattern recognition using constructive algorithms. - Humberto Costa de Sousa; André C. P. L. F. de Carvalho (IJCNN, 1999)

Knowledge Extraction: A Comparison between Symbolic and Connectionist Methods. - Cristiane Nobre; E. Martineli; Antônio de Pádua Braga; André Carlos Ponce de Leon Ferreira de Carvalho; S. Rezende; José L. Braga; Teresa Bernarda Ludermir (Int. J. Neural Syst., 1999)

Applying One-Sided Selection to Unbalanced Datasets. - Gustavo E. A. P. A. Batista; André Carlos Ponce de Leon Ferreira de Carvalho; Maria Carolina Monard (MICAI, 2000)

Comparing Different Clustering Techniques RBF Networks Training. - M. M. Brizzotti; André Carlos Ponce de Leon Ferreira de Carvalho (SBRN, 2000)

RaBeCa: A Hybrid Case-Based Reasoning Development Environment. - Ricardo Barz Sovat; Sandra M. Aluísio; André Carlos Ponce de Leon Ferreira de Carvalho (ICTAI, 2001)

Introduction By Guest Editors: Non-Gradient Learning Techniques. - André Carlos Ponce de Leon Ferreira de Carvalho; Stefan C. Kremer (Int. J. Neural Syst., 2001)

Evolutionary Optimization of RBF Networks. - Estefane G. M. de Lacerda; André Carlos Ponce de Leon Ferreira de Carvalho; Teresa Bernarda Ludermir (Int. J. Neural Syst., 2001)

Combining RBF Networks Trained by Different Clustering Techniques. - André Carlos Ponce de Leon Ferreira de Carvalho; M. M. Brizzotti (Neural Process. Lett., 2001)

Artificial Neural Networks Designed as Components. - Humberto Costa de Sousa; Ernesto Cuadros-Vargas; André Carlos Ponce de Leon Ferreira de Carvalho (JIISIC, 2002)

Extracting Knowledge from Artificial Neural Networks: An Empirical Comparison of Trepan and Symbolic Learning Algorithms. - Claudia Regina Milaré; André Carlos Ponce de Leon Ferreira de Carvalho; Maria Carolina Monard (MICAI, 2002)

A Study of Crossvalidation and Bootstrap as Objective Functions for Genetic Algorithms. - Estefane G. M. de Lacerda; André Carlos Ponce de Leon Ferreira de Carvalho; Teresa Bernarda Ludermir (SBRN, 2002)

Genetic Operators Setting for the Operation Planning of Hydrothermal Systems. - Patricia Texeira Leite; Alber de Franca Mendes Carneiro; André Carlos Ponce de Leon Ferreira de Carvalho (SBRN, 2002)

The Influence of Noisy Patterns in the Performance of Learning Methods in the Splice Junction Recognition Problem. - Ana Carolina Lorena; Gustavo E. A. P. A. Batista; André Carlos Ponce de Leon Ferreira de Carvalho; Maria Carolina Monard (SBRN, 2002)

A New Technique Based on Genetic Algorithms for Tracking of Power System Harmonics. - Renata A. Macêdo; Donato da Silva-Filho; Denis Vinicius Coury; André Carlos Ponce de Leon Ferreira de Carvalho (SBRN, 2002)

A Network of Globally Coupled Chaotic Maps for Adaptive Multi-Resolution Image Segmentation. - Liang Zhao 001; Rogerio A. Furukawa; André Carlos Ponce de Leon Ferreira de Carvalho (SBRN, 2002)

Splice Junction Recognition using Machine Learning Techniques. - Ana Carolina Lorena; Gustavo E. A. P. A. Batista; André Carlos Ponce de Leon Ferreira de Carvalho; Maria Carolina Monard (WOB, 2002)

Aprendizado de Máquina Aplicado ao Estudo de Marcadores Moleculares para Produção de Carne Bovina. - Silvia H. M. G. da Silva; Ana Carolina Lorena; André Carlos Ponce de Leon Ferreira de Carvalho; Danielle D. Tambasco; Luciana C. A. Regitano (WOB, 2002)

An Approach to Explain Neural Networks using Symbolic Algorithms. - Claudia Regina Milaré; André Carlos Ponce de Leon Ferreira de Carvalho; Maria Carolina Monard (Int. J. Comput. Intell. Appl., 2002)

Model selection via Genetic Algorithms for RBF networks. - Estefane G. M. de Lacerda; André Carlos Ponce de Leon Ferreira de Carvalho; Teresa Bernarda Ludermir (J. Intell. Fuzzy Syst., 2002)

A genetic algorithm based approach to track voltage and current harmonics in electrical power systems. - Renata A. Macêdo; Donato da Silva-Filho; Denis Vinicius Coury; Adriano A. F. M. Carneiro; André Carlos Ponce de Leon Ferreira de Carvalho (J. Intell. Fuzzy Syst., 2002)

Um Tutorial sobre Algoritmos Genéticos. - Estefane G. M. de Lacerda; André Carlos Ponce de Leon Ferreira de Carvalho; Teresa Bernarda Ludermir (RITA, 2002)

A Forest Representation for Evolutionary Algorithms Applied to Network Design. - Alexandre C. B. Delbem; André Carlos Ponce de Leon Ferreira de Carvalho (GECCO, 2003)

Hybrid Approach for Case Adaptation. - Cláudio Adriano Policastro; André Carlos Ponce de Leon Ferreira de Carvalho; Alexandre C. B. Delbem (HIS, 2003)

Human Splice Site Identification with Multiclass Support Vector Machines and Bagging. - Ana Carolina Lorena; André Carlos Ponce de Leon Ferreira de Carvalho (ICANN, 2003)

A dynamical model for multi-scale pixel clustering. - Liang Zhao 001; Antonio P. G. Damiance; Rogerio A. Furukawa; André C. P. L. F. de Carvalho (IJCNN, 2003)

Hybrid Approaches for Case Retrieval and Adaptation. - Cláudio Adriano Policastro; André Carlos Ponce de Leon Ferreira de Carvalho; Alexandre C. B. Delbem (KI, 2003)

E. Coli Promoter Gene Sequence and Human Splice Site Identification with Explanation by Extracting Rules from Trained Artificial Neural Networks. - Rodrigo Bianchi; Claudia Regina Milaré; André Carlos Ponce de Leon Ferreira de Carvalho (WOB, 2003)

A Network of Coupled Chaotic Maps for Adaptive Multi-Scale Image Segmentation. - Liang Zhao 001; Rogerio A. Furukawa; André Carlos Ponce de Leon Ferreira de Carvalho (Int. J. Neural Syst., 2003)

A genetic algorithm with gene dependent mutation probability for non-stationary optimization problems. - Renato Tinós; André Carlos Ponce de Leon Ferreira de Carvalho (IEEE Congress on Evolutionary Computation, 2004)

Node-Depth Encoding for Evolutionary Algorithms Applied to Network Design. - Alexandre C. B. Delbem; André Carlos Ponce de Leon Ferreira de Carvalho; Cláudio Adriano Policastro; Adriano K. O. Pinto; Karen Honda; Anderson C. Garcia (GECCO (1), 2004)

A Hybrid Case Based Reasoning Approach for Monitoring Water Quality. - Cláudio Adriano Policastro; André Carlos Ponce de Leon Ferreira de Carvalho; Alexandre C. B. Delbem (IEA/AIE, 2004)

Gene Selection Using Genetic Algorithms. - Bruno Feres de Souza; André Carlos Ponce de Leon Ferreira de Carvalho (ISBMDA, 2004)

Comparing Techniques for Multiclass Classification Using Binary SVM Predictors. - Ana Carolina Lorena; André Carlos Ponce de Leon Ferreira de Carvalho (MICAI, 2004)

Applying Genetic and Symbolic Learning Algorithms to Extract Rules from Artificial Neural Networks. - Claudia Regina Milaré; Gustavo E. A. P. A. Batista; André Carlos Ponce de Leon Ferreira de Carvalho; Maria Carolina Monard (MICAI, 2004)

Automatic Case Adaptation with a Hybrid Committee Approach. - Cláudio Adriano Policastro; André Carlos Ponce de Leon Ferreira de Carvalho; Alexandre C. B. Delbem (MICAI, 2004)

An Hybrid GA/SVM Approach for Multiclass Classification with Directed Acyclic Graphs. - Ana Carolina Lorena; André Carlos Ponce de Leon Ferreira de Carvalho (SBIA, 2004)

Phylogenetic Reconstruction from Evolutionary Algorithm using Edge-Set Representation. - Karen Honda; Alexandre C. B. Delbem; André Carlos Ponce de Leon Ferreira de Carvalho (WOB, 2004)

Gene Clusters Analysis Using Text Mining. - Deborah J. Medeiros; André Carlos Ponce de Leon Ferreira de Carvalho (WOB, 2004)

Gene Selection based on Multi-class SVMs and Genetic Algorithms. - Bruno Feres de Souza; André Carlos Ponce de Leon Ferreira de Carvalho (WOB, 2004)

SVMs for novel class detection in Bioinformatics. - Eduardo Jaques Spinosa; André Carlos Ponce de Leon Ferreira de Carvalho (WOB, 2004)

Combining Intelligent Techniques for Sensor Fusion. - Katti Faceli; André Carlos Ponce de Leon Ferreira de Carvalho; Solange Oliveira Rezende (Appl. Intell., 2004)

A dynamical model with adaptive pixel moving for microarray images segmentation. - Antonio P. G. Damiance; Liang Zhao 001; André Carlos Ponce de Leon Ferreira de Carvalho (Real Time Imaging, 2004)

Pixel clustering by adaptive pixel moving and chaotic synchronization. - Liang Zhao 001; André Carlos Ponce de Leon Ferreira de Carvalho; Zhaohui Li (IEEE Trans. Neural Networks, 2004)

Credit Card Users' Data Mining. - André Carlos Ponce de Leon Ferreira de Carvalho; Antônio de Pádua Braga; Teresa Bernarda Ludermir (Encyclopedia of Information Science and Technology (I), 2005)

Support Vector Machines Applied to White Blood Cell Recognition. - Daniela Mayumi Ushizima; Ana Carolina Lorena; André Carlos Ponce de Leon Ferreira de Carvalho (HIS, 2005)

A Self-organized Network for Data Clustering. - Liang Zhao 001; Antonio P. G. Damiance; André Carlos Ponce de Leon Ferreira de Carvalho (ICNC (1), 2005)

Classification of Ophthalmologic Images Using an Ensemble of Classifiers. - Giampaolo L. Libralao; Osvaldo C. P. Almeida; André Carlos Ponce de Leon Ferreira de Carvalho (IEA/AIE, 2005)

Minimum Spanning Trees in Hierarchical Multiclass Support Vector Machines Generation. - Ana Carolina Lorena; André Carlos Ponce de Leon Ferreira de Carvalho (IEA/AIE, 2005)

Evaluation of the Contents of Partitions Obtained with Clustering Gene Expression Data. - Katti Faceli; André Carlos Ponce de Leon Ferreira de Carvalho; Marcílio Carlos Pereira de Souto (BSB, 2005)

Protein Cellular Localization with Multiclass Support Vector Machines and Decision Trees. - Ana Carolina Lorena; André Carlos Ponce de Leon Ferreira de Carvalho (BSB, 2005)

Combining One-Class Classifiers for Robust Novelty Detection in Gene Expression Data. - Eduardo Jaques Spinosa; André Carlos Ponce de Leon Ferreira de Carvalho (BSB, 2005)

Evolutionary Radial Basis Functions for Credit Assessment. - Estefane G. M. de Lacerda; André Carlos Ponce de Leon Ferreira de Carvalho; Antônio de Pádua Braga; Teresa Bernarda Ludermir (Appl. Intell., 2005)

Classifier Combination Applied for Understanding of Eyes Images. - Antonio Valério Netto; André Carlos Ponce de Leon Ferreira de Carvalho (Int. J. Comput. Intell. Appl., 2005)

Multi-agent Systems and Machine Learning Facilitating Genome Annotation. - Ana L. C. Bazzan; André Carlos Ponce de Leon Ferreira de Carvalho (RITA, 2005)

Multiclass SVM Model Selection Using Particle Swarm Optimization. - Bruno Feres de Souza; André Carlos Ponce de Leon Ferreira de Carvalho; Rodrigo Calvo; Renato Porfirio Ishii (HIS, 2006)

Process Scheduling Using Ant Colony Optimization Techniques. - Bruno Rodrigues Nery; Rodrigo Fernandes de Mello; André Carlos Ponce de Leon Ferreira de Carvalho; Laurence Tianruo Yang (ISPA, 2006)

Hybrid Genetic Algorithm Applied to the Determination of the Optimal Operation of Hydrothermal Systems. - Patricia Texeira Leite; Adriano A. F. M. Carneiro; André C. P. L. F. de Carvalho (SBRN, 2006)

Multiclass SVM Design and Parameter Selection with Genetic Algorithms. - Ana Carolina Lorena; André Carlos Ponce de Leon Ferreira de Carvalho (SBRN, 2006)

The Brazilian Symposium on Neural Networks (SBRN'04). - Aluízio F. R. Araújo; André Carlos Ponce de Leon Ferreira de Carvalho (Neurocomputing, 2006)

Use of gene dependent mutation probability in evolutionary neural networks for non-stationary problems. - Renato Tinós; André Carlos Ponce de Leon Ferreira de Carvalho (Neurocomputing, 2006)

Automatic knowledge learning and case adaptation with a hybrid committee approach. - Cláudio Adriano Policastro; André Carlos Ponce de Leon Ferreira de Carvalho; Alexandre C. B. Delbem (J. Appl. Log., 2006)

Clustering using genetic algorithm combining validation criteria. - Murilo Coelho Naldi; André Carlos Ponce de Leon Ferreira de Carvalho (ESANN, 2007)

Pursuing the Best ECOC Dimension for Multiclass Problems. - Edgar Pimenta; João Gama 001; André Carlos Ponce de Leon Ferreira de Carvalho (FLAIRS, 2007)

Comparing Several Evaluation Functions in the Evolutionary Design of Multiclass Support Vector Machines. - Ana Carolina Lorena; André Carlos Ponce de Leon Ferreira de Carvalho (HIS, 2007)

A Hybrid Case Based Reasoning Approach for Wine Classification. - Cláudio Adriano Policastro; André Carlos Ponce de Leon Ferreira de Carvalho; Alexandre C. B. Delbem; L. H. C. Mattoso; E. Minatti; Ednaldo J. Ferreira; Carlos E. Borato; M. C. Zanus (ISDA, 2007)

OLINDDA: a cluster-based approach for detecting novelty and concept drift in data streams. - Eduardo Jaques Spinosa; André Carlos Ponce de Leon Ferreira de Carvalho; João Gama 001 (SAC, 2007)

Comparing Several Approaches for Hierarchical Classification of Proteins with Decision Trees. - Eduardo P. Costa; Ana Carolina Lorena; André Carlos Ponce de Leon Ferreira de Carvalho; Alex Alves Freitas; Nicholas Holden (BSB, 2007)

Multi-Objective Clustering Ensemble with Prior Knowledge. - Katti Faceli; André Carlos Ponce de Leon Ferreira de Carvalho; Marcílio Carlos Pereira de Souto (BSB, 2007)

Protein cellular localization prediction with Support Vector Machines and Decision Trees. - Ana Carolina Lorena; André Carlos Ponce de Leon Ferreira de Carvalho (Comput. Biol. Medicine, 2007)

Multi-objective clustering ensemble. - Katti Faceli; André Carlos Ponce de Leon Ferreira de Carvalho; Marcílio Carlos Pereira de Souto (Int. J. Hybrid Intell. Syst., 2007)

Development of a dressing monitoring system through artificial intelligence and acoustic maps for high performance grinding. - J. F. G. Oliveira; Arthur P. S. Braga; André Carlos Ponce de Leon Ferreira de Carvalho (Int. J. Manuf. Technol. Manag., 2007)

Evolutionary design of multiclass support vector machines. - Ana Carolina Lorena; André C. P. L. F. de Carvalho (J. Intell. Fuzzy Syst., 2007)

Applying genetic algorithms and support vector machines to the gene selection problem. - Bruno Feres de Souza; André Carlos Ponce de Leon Ferreira de Carvalho; Waldo Cancino Ticona (J. Intell. Fuzzy Syst., 2007)

Uma Introdução às Support Vector Machines. - Ana Carolina Lorena; André Carlos Ponce de Leon Ferreira de Carvalho (RITA, 2007)

Data clustering based on complex network community detection. - Tatyana B. S. de Oliveira; Liang Zhao 001; Katti Faceli; André Carlos Ponce de Leon Ferreira de Carvalho (IEEE Congress on Evolutionary Computation, 2008)

A new approach for multi-label classification based on default hierarchies and organizational learning. - Rosane Maria Maffei Vallim; David E. Goldberg; Xavier Llorà; Thyago S. P. C. Duque; André C. P. L. F. de Carvalho (GECCO (Companion), 2008)

Bio-Inspired Parameter Tunning of MLP Networks for Gene Expression Analysis. - André L. D. Rossi; André C. P. L. F. de Carvalho; Carlos Soares (HIS, 2008)

Metalearning for Gene Expression Data Classification. - Bruno Feres de Souza; André Carlos Ponce de Leon Ferreira de Carvalho; Carlos Soares (HIS, 2008)

Ensembles of Pre-processing Techniques for Noise Detection in Gene Expression Data. - Giampaolo L. Libralon; André Carlos Ponce de Leon Ferreira de Carvalho; Ana Carolina Lorena (ICONIP (1), 2008)

Consensus Clustering Using Spectral Theory. - Mariá Cristina Vasconcelos Nascimento; Franklina Maria Bragion Toledo; André Carlos Ponce de Leon Ferreira de Carvalho (ICONIP (1), 2008)

Bioinspired Parameter Tuning of MLP Networks for Gene Expression Analysis: Quality of Fitness Estimates vs. Number of Solutions Analysed. - André L. D. Rossi; Carlos Soares; André C. P. L. F. de Carvalho (ICONIP (2), 2008)

Potential Distribution Modelling Using Machine Learning. - Ana Carolina Lorena; Marinez Ferreira de Siqueira; Renato De Giovanni; André Carlos Ponce de Leon Ferreira de Carvalho; Ronaldo C. Prati (IEA/AIE, 2008)

Special track on Data Streams: editorial message. - João Gama 001; André Carlos Ponce de Leon Ferreira de Carvalho; Jesús S. Aguilar-Ruiz (SAC, 2008)

Cluster-based novel concept detection in data streams applied to intrusion detection in computer networks. - Eduardo Jaques Spinosa; André Carlos Ponce de Leon Ferreira de Carvalho; João Gama 001 (SAC, 2008)

A Strategyfor the Selection of Solutions of the Pareto Front Approximation in Multi-objective Clustering Approaches. - Katti Faceli; Marcílio Carlos Pereira de Souto; André Carlos Ponce de Leon Ferreira de Carvalho (SBRN, 2008)

Tree Decomposition of Multiclass Problems. - Ana Carolina Lorena; André Carlos Ponce de Leon Ferreira de Carvalho (SBRN, 2008)

Bio-inspired Optimization Techniques for SVM Parameter Tuning. - André L. D. Rossi; Luis Debiaso; André Carlos Ponce de Leon Ferreira de Carvalho (SBRN, 2008)

Top-Down Hierarchical Ensembles of Classifiers for Predicting G-Protein-Coupled-Receptor Functions. - Eduardo P. Costa; Ana Carolina Lorena; André C. P. L. F. de Carvalho; Alex Alves Freitas (BSB, 2008)

A review on the combination of binary classifiers in multiclass problems. - Ana Carolina Lorena; André Carlos Ponce de Leon Ferreira de Carvalho; João Gama 001 (Artif. Intell. Rev., 2008)

A hybrid case adaptation approach for case-based reasoning. - Cláudio Adriano Policastro; André Carlos Ponce de Leon Ferreira de Carvalho; Alexandre C. B. Delbem (Appl. Intell., 2008)

The Dimension of Ecocs for Multiclass Classification Problems. - Edgar Pimenta; João Gama 001; André Carlos Ponce de Leon Ferreira de Carvalho (Int. J. Artif. Intell. Tools, 2008)

Special Issue HIS 2007. - Teresa Bernarda Ludermir; Andreas König 001; André Carlos Ponce de Leon Ferreira de Carvalho (Int. J. Hybrid Intell. Syst., 2008)

Brazilian Symposium on Neural Networks (SBRN2006). - André Carlos Ponce de Leon Ferreira de Carvalho; Anne M. P. Canuto; Marcílio Carlos Pereira de Souto (Neurocomputing, 2008)

Evolutionary tuning of SVM parameter values in multiclass problems. - Ana Carolina Lorena; André Carlos Ponce de Leon Ferreira de Carvalho (Neurocomputing, 2008)

Hybrid classification algorithms based on boosting and support vector machines. - Thiago Turchetti Maia; Antônio de Pádua Braga; André Carlos Ponce de Leon Ferreira de Carvalho (Kybernetes, 2008)

Estratégias para a Combinação de Classificadores Binários em Soluções Multiclasses. - Ana Carolina Lorena; André C. P. L. F. de Carvalho (RITA, 2008)

Computational Intelligence Applied to the Automatic Monitoring of Dressing Operations in an Industrial CNC Machine. - Arthur Plinio Souza de Braga; André Carlos Ponce de Leon Ferreira de Carvalho; João Fernando Gomes de Oliveira (Advances of Computational Intelligence in Industrial Systems, 2008)

Investigation of Strategies for the Generation of Multiclass Support Vector Machines. - Ana Carolina Lorena; André Carlos Ponce de Leon Ferreira de Carvalho (New Challenges in Applied Intelligence Technologies, 2008)

evolutionary Design of Code-matrices for Multiclass Problems. - Ana Carolina Lorena; André Carlos Ponce de Leon Ferreira de Carvalho (Soft Computing for Knowledge Discovery and Data Mining, 2008)

Genetic Clustering for Data Mining. - Murilo Coelho Naldi; André Carlos Ponce de Leon Ferreira de Carvalho; Ricardo José Gabrielli Barreto Campello; Eduardo R. Hruschka (Soft Computing for Knowledge Discovery and Data Mining, 2008)

The multi-label OCS with a genetic algorithm for rule discovery: implementation and first results. - Rosane Maria Maffei Vallim; Thyago S. P. C. Duque; David E. Goldberg; André C. P. L. F. de Carvalho (GECCO, 2009)

Use of Classification Algorithms in Noise Detection and Elimination. - André L. B. Miranda; Luís Paulo F. Garcia; André C. P. L. F. de Carvalho; Ana Carolina Lorena (HAIS, 2009)

LEGAL-tree: a lexicographic multi-objective genetic algorithm for decision tree induction. - Márcio P. Basgalupp; Rodrigo C. Barros; André Carlos Ponce de Leon Ferreira de Carvalho; Alex Alves Freitas; Duncan D. Ruiz (SAC, 2009)

Comparing Methods for Multilabel Classification of Proteins Using Machine Learning Techniques. - Ricardo Cerri; Renato R. O. da Silva; André Carlos Ponce de Leon Ferreira de Carvalho (BSB, 2009)

Quality indices for (practical) clustering evaluation. - Margarida G. M. S. Cardoso; André Carlos Ponce de Leon Ferreira de Carvalho (Intell. Data Anal., 2009)

Novelty detection with application to data streams. - Eduardo Jaques Spinosa; André Carlos Ponce de Leon Ferreira de Carvalho; João Gama 001 (Intell. Data Anal., 2009)

Lexicographic multi-objective evolutionary induction of decision trees. - Márcio P. Basgalupp; André Carlos Ponce de Leon Ferreira de Carvalho; Rodrigo C. Barros; Duncan D. Ruiz; Alex Alves Freitas (Int. J. Bio Inspired Comput., 2009)

Evaluation Functions for the Evolutionary Design of Multiclass Support Vector Machines. - Ana Carolina Lorena; André Carlos Ponce de Leon Ferreira de Carvalho (Int. J. Comput. Intell. Appl., 2009)

Meta-learning approach to gene expression data classification. - Bruno Feres de Souza; Carlos Soares; André C. P. L. F. de Carvalho (Int. J. Intell. Comput. Cybern., 2009)

Multi-objective clustering ensemble for gene expression data analysis. - Katti Faceli; Marcílio Carlos Pereira de Souto; Daniel S. A. de Araujo; André Carlos Ponce de Leon Ferreira de Carvalho (Neurocomputing, 2009)

Pre-processing for noise detection in gene expression classification data. - Giampaolo L. Libralon; André Carlos Ponce de Leon Ferreira de Carvalho; Ana Carolina Lorena (J. Braz. Comput. Soc., 2009)

Uma Revisão Sobre Combinação de Agrupamentos. - Murilo Coelho Naldi; Katti Faceli; André C. P. L. F. de Carvalho (RITA, 2009)

A Survey of Evolutionary Algorithms for Clustering. - Eduardo R. Hruschka; Ricardo José Gabrielli Barreto Campello; Alex Alves Freitas; André Carlos Ponce de Leon Ferreira de Carvalho (IEEE Trans. Syst. Man Cybern. Part C, 2009)

A Tutorial on Multi-label Classification Techniques. - André Carlos Ponce de Leon Ferreira de Carvalho; Alex Alves Freitas (Foundations of Computational Intelligence (5), 2009)

Evolutionary Fuzzy Clustering: An Overview and Efficiency Issues. - Danilo Horta; Murilo Coelho Naldi; Ricardo José Gabrielli Barreto Campello; Eduardo R. Hruschka; André Carlos Ponce de Leon Ferreira de Carvalho (Foundations of Computational Intelligence (4), 2009)

Empirical Evaluation of Ranking Prediction Methods for Gene Expression Data Classification. - Bruno Feres de Souza; André Carlos Ponce de Leon Ferreira de Carvalho; Carlos Soares (IBERAMIA, 2010)

New top-down methods using SVMs for Hierarchical Multilabel Classification problems. - Ricardo Cerri; André Carlos Ponce de Leon Ferreira de Carvalho (IJCNN, 2010)

A comprehensive comparison of ML algorithms for gene expression data classification. - Bruno Feres de Souza; André Carlos Ponce de Leon Ferreira de Carvalho; Carlos Soares (IJCNN, 2010)

Evolutionary model tree induction. - Rodrigo C. Barros; Márcio P. Basgalupp; Duncan D. Ruiz; André Carlos Ponce de Leon Ferreira de Carvalho; Alex Alves Freitas (SAC, 2010)

Data Stream Mining Algorithms for Building Decision Models in a Computer Role-Playing Game Simulation. - Rosane Maria Maffei Vallim; André Carlos Ponce de Leon Ferreira de Carvalho; João Gama 001 (SBGames, 2010)

Hierarchical Multilabel Classification Using Top-Down Label Combination and Artificial Neural Networks. - Ricardo Cerri; André Carlos Ponce de Leon Ferreira de Carvalho (SBRN, 2010)

Combining Meta-learning and Search Techniques to SVM Parameter Selection. - Taciana A. F. Gomes; Ricardo Bastos Cavalcante Prudêncio; Carlos Soares; André L. D. Rossi; André Carlos Ponce de Leon Ferreira de Carvalho (SBRN, 2010)

Using Meta-learning to Classify Traveling Salesman Problems. - Jorge Y. Kanda; André Carlos Ponce de Leon Ferreira de Carvalho; Eduardo R. Hruschka; Carlos Soares (SBRN, 2010)

Improvements in the Partitions Selection Strategy for Set of Clustering Solutions. - Tiemi C. Sakata; Katti Faceli; Marcílio Carlos Pereira de Souto; André Carlos Ponce de Leon Ferreira de Carvalho (SBRN, 2010)

A Study of the Influence of Rule Measures in Classifiers Induced by Evolutionary Algorithms. - Claudia Regina Milaré; Gustavo E. A. P. A. Batista; André C. P. L. F. de Carvalho (IEEE Intell. Informatics Bull., 2010)

Investigation of a new GRASP-based clustering algorithm applied to biological data. - Mariá Cristina Vasconcelos Nascimento; Franklina Maria Bragion Toledo; André Carlos Ponce de Leon Ferreira de Carvalho (Comput. Oper. Res., 2010)

Partitions selection strategy for set of clustering solutions. - Katti Faceli; Tiemi C. Sakata; Marcílio Carlos Pereira de Souto; André Carlos Ponce de Leon Ferreira de Carvalho (Neurocomputing, 2010)

Building binary-tree-based multiclass classifiers using separability measures. - Ana Carolina Lorena; André Carlos Ponce de Leon Ferreira de Carvalho (Neurocomputing, 2010)

Special issue for the SBRN Guest Editorial. - Marley M. B. R. Vellasco; Marcílio Carlos Pereira de Souto; André Carlos Ponce de Leon Ferreira de Carvalho (Neurocomputing, 2010)

Hybrid intelligent algorithms and applications. - Emilio Corchado; Ajith Abraham; André Carlos Ponce de Leon Ferreira de Carvalho (Inf. Sci., 2010)

Modelo Estatístico para a Determinação do Número Ótimo de Iterações do Filtro de Difusão Anisotrópica Aplicado à Redução de Ruído de Imagens de Ressonância Magnética do Cérebro. - Yuri Saito; Ricardo José Ferrari; Jefferson Teixeira; Paulo M. Azevedo-Marques; André C. P. L. F. de Carvalho; Antonio Carlos dos Santos (RITA, 2010)

Knowledge Discovery from Data Streams. - João Gama 001; Pedro Pereira Rodrigues; Eduardo Jaques Spinosa; André Carlos Ponce de Leon Ferreira de Carvalho (Web Intelligence and Security - Advances in Data and Text Mining Techniques for Detecting and Preventing Terrorist Activities on the Web, 2010)

Towards the automatic design of decision tree induction algorithms. - Rodrigo C. Barros; Márcio P. Basgalupp; André Carlos Ponce de Leon Ferreira de Carvalho; Alex Alves Freitas (GECCO (Companion), 2011)

Using Meta-learning to Recommend Meta-heuristics for the Traveling Salesman Problem. - Jorge Y. Kanda; André Carlos Ponce de Leon Ferreira de Carvalho; Eduardo R. Hruschka; Carlos Soares (ICMLA (1), 2011)

Quantifying Features Using False Nearest Neighbors: An Unsupervised Approach. - Jose Augusto Andrade Filho; André C. P. L. F. de Carvalho; Rodrigo Fernandes de Mello; Salem Alelyani; Huan Liu 001 (ICTAI, 2011)

A clustering-based decision tree induction algorithm. - Rodrigo C. Barros; André Carlos Ponce de Leon Ferreira de Carvalho; Márcio P. Basgalupp; Marcos G. Quiles (ISDA, 2011)

A bottom-up oblique decision tree induction algorithm. - Rodrigo C. Barros; Ricardo Cerri; Pablo A. Jaskowiak; André Carlos Ponce de Leon Ferreira de Carvalho (ISDA, 2011)

Hierarchical multi-label classification for protein function prediction: A local approach based on neural networks. - Ricardo Cerri; Rodrigo C. Barros; André Carlos Ponce de Leon Ferreira de Carvalho (ISDA, 2011)

Hierarchical Multilabel Protein Function Prediction Using Local Neural Networks. - Ricardo Cerri; André Carlos Ponce de Leon Ferreira de Carvalho (BSB, 2011)

Efficiency issues of evolutionary k-means. - Murilo Coelho Naldi; Ricardo J. G. B. Campello; Eduardo R. Hruschka; André C. P. L. F. de Carvalho (Appl. Soft Comput., 2011)

Spectral methods for graph clustering - A survey. - Mariá Cristina Vasconcelos Nascimento; André Carlos Ponce de Leon Ferreira de Carvalho (Eur. J. Oper. Res., 2011)

Comparing machine learning classifiers in potential distribution modelling. - Ana Carolina Lorena; Luís F. O. Jacintho; Marinez Ferreira de Siqueira; Renato De Giovanni; Lúcia G. Lohmann; André Carlos Ponce de Leon Ferreira de Carvalho; Missae Yamamoto (Expert Syst. Appl., 2011)

Adapting non-hierarchical multilabel classification methods for hierarchical multilabel classification. - Ricardo Cerri; André Carlos Ponce de Leon Ferreira de Carvalho; Alex Alves Freitas (Intell. Data Anal., 2011)

A hybrid approach to learn with imbalanced classes using evolutionary algorithms. - Claudia Regina Milaré; Gustavo E. A. P. A. Batista; André C. P. L. F. de Carvalho (Log. J. IGPL, 2011)

Selection of algorithms to solve traveling salesman problems using meta-learning. - Jorge Y. Kanda; André Carlos Ponce de Leon Ferreira de Carvalho; Eduardo R. Hruschka; Carlos Soares (Int. J. Hybrid Intell. Syst., 2011)

A graph clustering algorithm based on a clustering coefficient for weighted graphs. - Mariá Cristina Vasconcelos Nascimento; André C. P. L. F. de Carvalho (J. Braz. Comput. Soc., 2011)

A hyper-heuristic evolutionary algorithm for automatically designing decision-tree algorithms. - Rodrigo C. Barros; Márcio P. Basgalupp; André Carlos Ponce de Leon Ferreira de Carvalho; Alex Alves Freitas (GECCO, 2012)

A hybrid heuristic for the k-medoids clustering problem. - Mariá Cristina Vasconcelos Nascimento; Franklina Maria Bragion Toledo; André Carlos Ponce de Leon Ferreira de Carvalho (GECCO, 2012)

Using Genetic Algorithms to Improve Prediction of Execution Times of ML Tasks. - Rattan Priya; Bruno Feres de Souza; André L. D. Rossi; André Carlos Ponce de Leon Ferreira de Carvalho (HAIS (1), 2012)

An Experimental Study of the Combination of Meta-Learning with Particle Swarm Algorithms for SVM Parameter Selection. - Péricles Barbosa C. de Miranda; Ricardo Bastos Cavalcante Prudêncio; André Carlos Ponce de Leon Ferreira de Carvalho; Carlos Soares (ICCSA (3), 2012)

A Meta-Learning Approach to Select Meta-Heuristics for the Traveling Salesman Problem Using MLP-Based Label Ranking. - Jorge Y. Kanda; Carlos Soares; Eduardo R. Hruschka; André Carlos Ponce de Leon Ferreira de Carvalho (ICONIP (3), 2012)

Multi-objective optimization and Meta-learning for SVM parameter selection. - Péricles B. C. Miranda; Ricardo Bastos Cavalcante Prudêncio; André Carlos Ponce de Leon Ferreira de Carvalho; Carlos Soares (IJCNN, 2012)

A genetic algorithm for Hierarchical Multi-Label Classification. - Ricardo Cerri; Rodrigo C. Barros; André Carlos Ponce de Leon Ferreira de Carvalho (SAC, 2012)

Improving the offline clustering stage of data stream algorithms in scenarios with variable number of clusters. - Elaine R. Faria; Rodrigo C. Barros; João Gama 001; André C. P. L. F. de Carvalho (SAC, 2012)

A Study on Class Noise Detection and Elimination. - Luís Paulo F. Garcia; Ana Carolina Lorena; André C. P. L. F. de Carvalho (SBRN, 2012)

Combining Meta-Learning with Multi-objective Particle Swarm Algorithms for SVM Parameter Selection: An Experimental Analysis. - Péricles B. C. Miranda; Ricardo B. C. Prudêncio; André C. P. L. F. de Carvalho; Carlos Soares (SBRN, 2012)

Meta-Learning for Periodic Algorithm Selection in Time-Changing Data. - André Luis Debiaso Rossi; André C. P. L. F. de Carvalho; Carlos Soares (SBRN, 2012)

A Density-Based Clustering Approach for Behavior Change Detection in Data Streams. - Rosane Maria Maffei Vallim; Jose Augusto Andrade Filho; André C. P. L. F. de Carvalho; João Gama 001 (SBRN, 2012)

Combining a multi-objective optimization approach with meta-learning for SVM parameter selection. - Péricles Barbosa C. de Miranda; Ricardo Bastos Cavalcante Prudêncio; André Carlos Ponce de Leon Ferreira de Carvalho; Carlos Soares (SMC, 2012)

Automatic design of decision-tree induction algorithms tailored to flexible-receptor docking data. - Rodrigo C. Barros; Ana T. Winck; Karina S. Machado; Márcio P. Basgalupp; André Carlos Ponce de Leon Ferreira de Carvalho; Duncan D. Ruiz; Osmar Norberto de Souza (BMC Bioinform., 2012)

Combining meta-learning and search techniques to select parameters for support vector machines. - Taciana A. F. Gomes; Ricardo Bastos Cavalcante Prudêncio; Carlos Soares; André L. D. Rossi; André C. P. L. F. de Carvalho (Neurocomputing, 2012)

Clus-DTI: improving decision-tree classification with a clustering-based decision-tree induction algorithm. - Rodrigo C. Barros; Márcio P. Basgalupp; André Carlos Ponce de Leon Ferreira de Carvalho; Marcos G. Quiles (J. Braz. Comput. Soc., 2012)

A Survey of Evolutionary Algorithms for Decision-Tree Induction. - Rodrigo Coelho Barros; Márcio Porto Basgalupp; André Carlos Ponce de Leon Ferreira de Carvalho; Alex Alves Freitas (IEEE Trans. Syst. Man Cybern. Part C, 2012)

Neural Networks for Hierarchical Classification of G-Protein Coupled Receptors. - Ricardo Cerri; Rodrigo Coelho Barros; André C. P. L. F. de Carvalho (BRACIS, 2013)

Evaluation Methodology for Multiclass Novelty Detection Algorithms. - Elaine R. Faria; Isabel J. C. R. Gonçalves; João Gama 001; André C. P. L. F. de Carvalho (BRACIS, 2013)

A grammatical evolution algorithm for generation of Hierarchical Multi-Label Classification rules. - Ricardo Cerri; Rodrigo C. Barros; André Carlos Ponce de Leon Ferreira de Carvalho; Alex Alves Freitas (IEEE Congress on Evolutionary Computation, 2013)

A grammatical evolution approach for software effort estimation. - Rodrigo C. Barros; Márcio P. Basgalupp; Ricardo Cerri; Tiago Silva da Silva; André C. P. L. F. de Carvalho (GECCO, 2013)

Noisy Data Set Identification. - Luís Paulo F. Garcia; André C. P. L. F. de Carvalho; Ana Carolina Lorena (HAIS, 2013)

Probabilistic Clustering for Hierarchical Multi-Label Classification of Protein Functions. - Rodrigo C. Barros; Ricardo Cerri; Alex Alves Freitas; André Carlos Ponce de Leon Ferreira de Carvalho (ECML/PKDD (2), 2013)

Software effort prediction: a hyper-heuristic decision-tree based approach. - Márcio P. Basgalupp; Rodrigo C. Barros; Tiago Silva da Silva; André C. P. L. F. de Carvalho (SAC, 2013)

Novelty detection algorithm for data streams multi-class problems. - Elaine R. Faria; João Gama 001; André C. P. L. F. de Carvalho (SAC, 2013)

Data stream clustering: A survey. - Jonathan de Andrade Silva; Elaine R. Faria; Rodrigo C. Barros; Eduardo R. Hruschka; André Carlos Ponce de Leon Ferreira de Carvalho; João Gama 001 (ACM Comput. Surv., 2013)

Cluster ensemble selection based on relative validity indexes. - Murilo Coelho Naldi; André C. P. L. F. de Carvalho; Ricardo J. G. B. Campello (Data Min. Knowl. Discov., 2013)

Automatic Design of Decision-Tree Algorithms with Evolutionary Algorithms. - Rodrigo C. Barros; Márcio P. Basgalupp; André Carlos Ponce de Leon Ferreira de Carvalho; Alex Alves Freitas (Evol. Comput., 2013)

Online behavior change detection in computer games. - Rosane Maria Maffei Vallim; Jose Augusto Andrade Filho; Rodrigo Fernandes de Mello; André Carlos Ponce de Leon Ferreira de Carvalho (Expert Syst. Appl., 2013)

Predicting execution time of machine learning tasks for scheduling. - Rattan Priya; Bruno Feres de Souza; André L. D. Rossi; André Carlos Ponce de Leon Ferreira de Carvalho (Int. J. Hybrid Intell. Syst., 2013)

Hierarchical Bottom-Up Safe Semi-Supervised Support Vector Machines for Multi-Class Transductive Learning. - Thiago F. Covoes; Rodrigo C. Barros; Tiago Silva da Silva; Eduardo R. Hruschka; André Carlos Ponce de Leon Ferreira de Carvalho (J. Inf. Data Manag., 2013)

Clustering Search Applied to Rank Aggregation. - Luiz Henrique Nogueira Lorena; Ana Carolina Lorena; Luiz Antonio Nogueira Lorena; André Carlos Ponce de Leon Ferreira de Carvalho (BRACIS, 2014)

Adaptive Algorithms in Accelerometer Biometrics. - Paulo Henrique Pisani; Ana Carolina Lorena; André Carlos Ponce de Leon Ferreira de Carvalho (BRACIS, 2014)

Exploiting Evolution on UAV Control Rules for Spraying Pesticides on Crop Fields. - Bruno S. Faiçal; Gustavo Pessin; Geraldo P. R. Filho; Gustavo Furquim; André C. P. L. F. de Carvalho; Jó Ueyama (EANN, 2014)

Evolving relational hierarchical classification rules for predicting gene ontology-based protein functions. - Ricardo Cerri; Rodrigo C. Barros; Alex Alves Freitas; André Carlos Ponce de Leon Ferreira de Carvalho (GECCO (Companion), 2014)

Multi-objective optimization applied to systematic conservation planning and spatial conservation priorities under climate change. - Shana Schlottfeldt; Jon Timmis; Maria Emília M. T. Walter; André C. P. L. F. de Carvalho; José Alexandre Felizola Diniz-Filho; Lorena M. Simon; Rafael D. Loyola; Mariana P. C. Telles (GECCO (Companion), 2014)

Comparison of Active Learning Strategies and Proposal of a Multiclass Hypothesis Space Search. - Davi Pereira dos Santos; André Carlos Ponce de Leon Ferreira de Carvalho (HAIS, 2014)

Fine-Tuning of UAV Control Rules for Spraying Pesticides on Crop Fields. - Bruno S. Faiçal; Gustavo Pessin; Geraldo P. R. Filho; André C. P. L. F. de Carvalho; Gustavo Furquim; Jo Ueyama (ICTAI, 2014)

PVis - Partitions' visualizer: Extracting knowledge by visualizing a collection of partitions. - Katti Faceli; Tiemi C. Sakata; André Carlos Ponce de Leon Ferreira de Carvalho; Marcílio Carlos Pereira de Souto (IJCNN, 2014)

A flocking-like technique to perform semi-supervised learning. - Roberto Alves Gueleri; Thiago Henrique Cupertino; André Carlos Ponce de Leon Ferreira de Carvalho; Liang Zhao 001 (IJCNN, 2014)

The discriminant power of RNA features for pre-miRNA recognition. - Ivani de Oliveira Negrão Lopes; Alexander Schliep; André Carlos Ponce de Leon Ferreira de Carvalho (BMC Bioinform., 2014)

Unsupervised density-based behavior change detection in data streams. - Rosane Maria Maffei Vallim; Jose Augusto Andrade Filho; Rodrigo Fernandes de Mello; André Carlos Ponce de Leon Ferreira de Carvalho; João Gama 001 (Intell. Data Anal., 2014)

A framework for bottom-up induction of oblique decision trees. - Rodrigo C. Barros; Pablo A. Jaskowiak; Ricardo Cerri; André Carlos Ponce de Leon Ferreira de Carvalho (Neurocomputing, 2014)

Recent trends in intelligent data analysis. - Emilio Corchado; Michal Wozniak 001; Ajith Abraham; André Carlos Ponce de Leon Ferreira de Carvalho; Václav Snásel (Neurocomputing, 2014)

A hybrid meta-learning architecture for multi-objective optimization of SVM parameters. - Péricles B. C. Miranda; Ricardo B. C. Prudêncio; André C. P. L. F. de Carvalho; Carlos Soares (Neurocomputing, 2014)

MetaStream: A meta-learning based method for periodic algorithm selection in time-changing data. - André Luis Debiaso Rossi; André Carlos Ponce de Leon Ferreira de Carvalho; Carlos Soares; Bruno Feres de Souza (Neurocomputing, 2014)

Evolving decision trees with beam search-based initialization and lexicographic multi-objective evaluation. - Márcio P. Basgalupp; Rodrigo C. Barros; André Carlos Ponce de Leon Ferreira de Carvalho; Alex Alves Freitas (Inf. Sci., 2014)

Hierarchical multi-label classification using local neural networks. - Ricardo Cerri; Rodrigo C. Barros; André Carlos Ponce de Leon Ferreira de Carvalho (J. Comput. Syst. Sci., 2014)

Evolutionary Design of Decision-Tree Algorithms Tailored to Microarray Gene Expression Data Sets. - Rodrigo C. Barros; Márcio P. Basgalupp; Alex Alves Freitas; André Carlos Ponce de Leon Ferreira de Carvalho (IEEE Trans. Evol. Comput., 2014)

Adapting Noise Filters for Ranking. - Ana Carolina Lorena; Luís Paulo Faina Garcia; André C. P. L. F. de Carvalho (BRACIS, 2015)

Ensemble of Adaptive Algorithms for Keystroke Dynamics. - Paulo Henrique Pisani; Ana Carolina Lorena; André C. P. L. F. de Carvalho (BRACIS, 2015)

Selectively Inhibiting Learning Bias for Active Sampling. - Davi Pereira dos Santos; André C. P. L. F. de Carvalho (BRACIS, 2015)

Transmission of wireless neural signals through a 0.18µm CMOS low-power amplifier. - Mario Gazziro; C. F. R. Braga; D. A. Moreira; André C. P. L. F. de Carvalho; J. F. Rodrigues; J. S. Navarro; J. C. M. Ardila; Daniel Pasti Mioni; Murilo Pilon Pessatti; Paulo Augusto Dal Fabbro; C. Freewin; Stephen E. Saddow (EMBC, 2015)

A Multi-objective Optimization Approach Associated to Climate Change Analysis to Improve Systematic Conservation Planning. - Shana Schlottfeldt; Jon Timmis; Maria Emília Telles Walter; André Carlos Ponce de Leon Ferreira de Carvalho; Lorena M. Simon; Rafael D. Loyola; José Alexandre Felizola Diniz-Filho (EMO (2), 2015)

Using Multi-Objective Artificial Immune Systems to Find Core Collections Based on Molecular Markers. - Shana Schlottfeldt; Maria Emília M. T. Walter; Jon Timmis; André C. P. L. F. de Carvalho; Mariana P. C. Telles; José Alexandre Felizola Diniz-Filho (GECCO, 2015)

Hierarchical classification of Gene Ontology-based protein functions with neural networks. - Ricardo Cerri; Rodrigo C. Barros; André C. P. L. F. de Carvalho (IJCNN, 2015)

An evolutionary sampling approach for classification with imbalanced data. - Everlandio R. Q. Fernandes; André C. P. L. F. de Carvalho; André L. V. Coelho (IJCNN, 2015)

To tune or not to tune: Recommending when to adjust SVM hyper-parameters via meta-learning. - Rafael Gomes Mantovani; André Luis Debiaso Rossi; Joaquin Vanschoren; Bernd Bischl; André C. P. L. F. de Carvalho (IJCNN, 2015)

Effectiveness of Random Search in SVM hyper-parameter tuning. - Rafael Gomes Mantovani; André Luis Debiaso Rossi; Joaquin Vanschoren; Bernd Bischl; André C. P. L. F. de Carvalho (IJCNN, 2015)

Adaptive approaches for keystroke dynamics. - Paulo Henrique Pisani; Ana Carolina Lorena; André C. P. L. F. de Carvalho (IJCNN, 2015)

Meta-learning Recommendation of Default Hyper-parameter Values for SVMs in Classification Tasks. - Rafael Gomes Mantovani; André L. D. Rossi; Joaquin Vanschoren; André C. P. L. F. de Carvalho (MetaSel@PKDD/ECML, 2015)

An Extensive Evaluation of Decision Tree-Based Hierarchical Multilabel Classification Methods and Performance Measures. - Ricardo Cerri; Gisele L. Pappa; André Carlos Ponce de Leon Ferreira de Carvalho; Alex Alves Freitas (Comput. Intell., 2015)

Investigating fitness functions for a hyper-heuristic evolutionary algorithm in the context of balanced and imbalanced data classification. - Rodrigo C. Barros; Márcio P. Basgalupp; André C. P. L. F. de Carvalho (Genet. Program. Evolvable Mach., 2015)

Editorial: Special issue HAIS12-IGPL. - Héctor Quintián; Emilio Corchado; André Carlos Ponce de Leon Ferreira de Carvalho; Ajith Abraham; Michal Wozniak 001; Manuel Graña; Sung-Bae Cho (Log. J. IGPL, 2015)

A Projection Pursuit framework for supervised dimension reduction of high dimensional small sample datasets. - Soledad Espezua; Edwin Villanueva; Carlos Dias Maciel; André C. P. L. F. de Carvalho (Neurocomputing, 2015)

Effect of label noise in the complexity of classification problems. - Luís Paulo F. Garcia; André C. P. L. F. de Carvalho; Ana Carolina Lorena (Neurocomputing, 2015)

Special issue HAIS 2012: Recent advancements in hybrid artificial intelligence systems and its application to real-world problems. - Héctor Quintián; Emilio Corchado; Ajith Abraham; André C. P. L. F. de Carvalho; Michal Wozniak 001; Václav Snásel; Sung-Bae Cho (Neurocomputing, 2015)

Special issue SOCO12. - Álvaro Herrero 001; Václav Snásel; Ajith Abraham; Ivan Zelinka; Bruno Baruque; Héctor Quintián; José Luís Calvo-Rolle; Javier Sedano; André C. P. L. F. de Carvalho; Emilio Corchado (J. Appl. Log., 2015)

Filter Feature Selection for One-Class Classification. - Luiz Henrique Nogueira Lorena; André Carlos Ponce de Leon Ferreira de Carvalho; Ana Carolina Lorena (J. Intell. Robotic Syst., 2015)

Adaptive Positive Selection for Keystroke Dynamics. - Paulo Henrique Pisani; Ana Carolina Lorena; André Carlos Ponce de Leon Ferreira de Carvalho (J. Intell. Robotic Syst., 2015)

Using the One-vs-One decomposition to improve the performance of class noise filters via an aggregation strategy in multi-class classification problems. - Luís Paulo F. Garcia; José A. Sáez; Julián Luengo; Ana Carolina Lorena; André C. P. L. F. de Carvalho; Francisco Herrera (Knowl. Based Syst., 2015)

Evaluation of Multiclass Novelty Detection Algorithms for Data Streams. - Elaine Ribeiro de Faria; Isabel Ribeiro Gonçalves; João Gama 001; André Carlos Ponce de Leon Ferreira de Carvalho (IEEE Trans. Knowl. Data Eng., 2015)

Automatic Design of Decision-Tree Induction Algorithms - Rodrigo C. Barros; André C. P. L. F. de Carvalho; Alex Alves Freitas (Springer, 2015)

DualRadviz: Preserving Context between Classification Evaluation and Data Exploration with RadViz. - Igor Bueno Correa; André C. P. L. F. de Carvalho (BRACIS, 2016)

Hyper-Parameter Tuning of a Decision Tree Induction Algorithm. - Rafael Gomes Mantovani; Tomás Horváth; Ricardo Cerri; Joaquin Vanschoren; André C. P. L. F. de Carvalho (BRACIS, 2016)

Automatic Selection of Learning Bias for Active Sampling. - Davi Pereira dos Santos; André C. P. L. F. de Carvalho (BRACIS, 2016)

Effects of Random Sampling on SVM Hyper-parameter Tuning. - Tomás Horváth; Rafael Gomes Mantovani; André C. P. L. F. de Carvalho (ISDA, 2016)

The Use of Autonomous UAVs to Improve Pesticide Application in Crop Fields. - Bruno S. Faiçal; Jo Ueyama; André C. P. L. F. de Carvalho (MDM (Workshops), 2016)

Selecting Collaborative Filtering Algorithms Using Metalearning. - Tiago Cunha 001; Carlos Soares; André C. P. L. F. de Carvalho (ECML/PKDD (2), 2016)

Fast adaptive stacking of ensembles. - Isvani Inocencio Frías Blanco; Alberto Verdecia-Cabrera; Agustín Alejandro Ortiz Díaz; André C. P. L. F. de Carvalho (SAC, 2016)

Novelty detection in data streams. - Elaine R. Faria; Isabel J. C. R. Gonçalves; André C. P. L. F. de Carvalho; João Gama 001 (Artif. Intell. Rev., 2016)

Reduction strategies for hierarchical multi-label classification in protein function prediction. - Ricardo Cerri; Rodrigo C. Barros; André C. P. L. F. de Carvalho; Yaochu Jin (BMC Bioinform., 2016)

Automatic learning of pre-miRNAs from different species. - Ivani de Oliveira Negrão Lopes; Alexander Schliep; André Carlos Ponce de Leon Ferreira de Carvalho (BMC Bioinform., 2016)

Enhanced template update: Application to keystroke dynamics. - Paulo Henrique Pisani; Romain Giot; André C. P. L. F. de Carvalho; Ana Carolina Lorena (Comput. Secur., 2016)

MINAS: multiclass learning algorithm for novelty detection in data streams. - Elaine Ribeiro de Faria; André Carlos Ponce de Leon Ferreira de Carvalho; João Gama 001 (Data Min. Knowl. Discov., 2016)

Ensembles of label noise filters: a ranking approach. - Luís Paulo F. Garcia; Ana Carolina Lorena; Stan Matwin; André Carlos Ponce de Leon Ferreira de Carvalho (Data Min. Knowl. Discov., 2016)

Editorial: Special Issue CISIS13-IGPL. - Álvaro Herrero 001; Bruno Baruque; Ajith Abraham; André Carlos Ponce de Leon Ferreira de Carvalho; Pablo García Bringas; Héctor Quintián; Emilio Corchado (Log. J. IGPL, 2016)

Fine-Tuning of UAV Control Rules for Spraying Pesticides on Crop Fields: An Approach for Dynamic Environments. - Bruno S. Faiçal; Gustavo Pessin; Geraldo P. R. Filho; André Carlos Ponce de Leon Ferreira de Carvalho; Pedro Henrique Gomes; Jó Ueyama (Int. J. Artif. Intell. Tools, 2016)

Mobile sensing and social computing. - Javier Bajo; Andrew T. Campbell; Sigeru Omatu 001; André C. P. L. F. de Carvalho; Juan M. Corchado (Int. J. Distributed Sens. Networks, 2016)

Recent advancements in hybrid artificial intelligence systems and its application to real-world problems. - Emilio Corchado; Ajith Abraham; André C. P. L. F. de Carvalho; Michal Wozniak 001; Sung-Bae Cho; Héctor Quintián (Neurocomputing, 2016)

Noise detection in the meta-learning level. - Luís Paulo F. Garcia; André C. P. L. F. de Carvalho; Ana Carolina Lorena (Neurocomputing, 2016)

Meta-learning to select the best meta-heuristic for the Traveling Salesman Problem: A comparison of meta-features. - Jorge Y. Kanda; André C. P. L. F. de Carvalho; Eduardo R. Hruschka; Carlos Soares; Pavel Brazdil (Neurocomputing, 2016)

SPECIAL ISSUE SOCO13-JAL. - Álvaro Herrero 001; Bruno Baruque; Fanny Klett; Ajith Abraham; Václav Snásel; André C. P. L. F. de Carvalho; Pablo García Bringas; Ivan Zelinka; Héctor Quintián; Juan Manuel Corchado; Emilio Corchado (J. Appl. Log., 2016)

Endowing a Content-Based Medical Image Retrieval System with Perceptual Similarity Using Ensemble Strategy. - Marcos Vinicius Naves Bedo; Davi Pereira dos Santos; Marcelo Ponciano-Silva; Paulo Mazzoncini de Azevedo Marques; André Carlos Ponce de Leon Ferreira de Carvalho; Caetano Traina Jr. (J. Digit. Imaging, 2016)

Online adaptive decision trees based on concentration inequalities. - Isvani Inocencio Frías Blanco; José del Campo-Ávila; Gonzalo Ramos-Jiménez; André C. P. L. F. de Carvalho; Agustín Alejandro Ortiz Díaz; Rafael Morales Bueno (Knowl. Based Syst., 2016)

A Machine Learning-Based Approach for Prediction of Plant Protection Product Deposition. - Carlos R. G. Junior; Pedro Henrique Gomes; Leandro Y. Mano; Rone B. de Oliveira; André Carlos Ponce de Leon Ferreira de Carvalho; Bruno S. Faiçal (BRACIS, 2017)

A Comparison of Hierarchical Biclustering Ensemble Methods. - Victor Alexandre Padilha; André Carlos Ponce de Leon Ferreira de Carvalho (BRACIS, 2017)

Anomaly Detection Through Temporal Abstractions on Intensive Care Data: Position Paper. - Giovana Jaskulski Gelatti; André Carlos Ponce de Leon Ferreira de Carvalho; Pedro Pereira Rodrigues (CBMS, 2017)

Recommending Collaborative Filtering Algorithms Using Subsampling Landmarkers. - Tiago Cunha 001; Carlos Soares; André C. P. L. F. de Carvalho (DS, 2017)

Food Truck Recommendation Using Multi-label Classification. - Adriano Rivolli; Larissa C. Parker; André C. P. L. F. de Carvalho (EPIA, 2017)

Using a multi-objective artificial immune system approach for biodiversity conservation. - Shana Schlottfeldt; Maria Emília Telles Walter; André C. P. L. F. de Carvalho; Mariana P. C. Telles; José Alexandre Felizola Diniz-Filho (ICNC-FSKD, 2017)

Metalearning for Context-aware Filtering: Selection of Tensor Factorization Algorithms. - Tiago Cunha 001; Carlos Soares; André C. P. L. F. de Carvalho (RecSys, 2017)

An adaptive approach for UAV-based pesticide spraying in dynamic environments. - Bruno S. Faiçal; Heitor Freitas; Pedro Henrique Gomes; Leandro Y. Mano; Gustavo Pessin; André C. P. L. F. de Carvalho; Bhaskar Krishnamachari; Jó Ueyama (Comput. Electron. Agric., 2017)

Score normalization applied to adaptive biometric systems. - Paulo Henrique Pisani; Norman Poh; André C. P. L. F. de Carvalho; Ana Carolina Lorena (Comput. Secur., 2017)

Intelligent-guided adaptive search for the maximum covering location problem. - Vinícius R. Máximo; Mariá C. V. Nascimento; André C. P. L. F. de Carvalho (Comput. Oper. Res., 2017)

Deep learning for biological image classification. - Carlos Affonso; André Luis Debiaso Rossi; Fábio Henrique Antunes Vieira; André Carlos Ponce de Leon Ferreira de Carvalho (Expert Syst. Appl., 2017)

Adaptive algorithms applied to accelerometer biometrics in a data stream context. - Paulo Henrique Pisani; Ana Carolina Lorena; André C. P. L. F. de Carvalho (Intell. Data Anal., 2017)

A guidance of data stream characterization for meta-learning. - André Luis Debiaso Rossi; Bruno Feres de Souza; Carlos Soares; André Carlos Ponce de Leon Ferreira de Carvalho (Intell. Data Anal., 2017)

Evolutionary computing in recommender systems: a review of recent research. - Tomás Horváth; André Carlos Ponce de Leon Ferreira de Carvalho (Nat. Comput., 2017)

The NoiseFiltersR Package: Label Noise Preprocessing in R. - Pablo Morales-Álvarez; Julián Luengo; Luís Paulo F. Garcia; Ana Carolina Lorena; André C. P. L. F. de Carvalho; Francisco Herrera (R J., 2017)

Dimensionality Reduction for the Algorithm Recommendation Problem. - Edesio Alcobaça; Rafael Gomes Mantovani; André L. D. Rossi; André C. P. L. F. de Carvalho (BRACIS, 2018)

Making Data Stream Classification Tree-Based Ensembles Lighter. - Victor G. Turrisi da Costa; Saulo Martiello Mastelini; André C. P. L. F. de Carvalho; Sylvio Barbon (BRACIS, 2018)

A Study of Biclustering Coherence Measures for Gene Expression Data. - Victor Alexandre Padilha; André Carlos Ponce de Leon Ferreira de Carvalho (BRACIS, 2018)

Label Expansion for Multi-label Classification. - Adriano Rivolli; Carlos Soares; André C. P. L. F. de Carvalho (BRACIS, 2018)

CF4CF-META: Hybrid Collaborative Filtering Algorithm Selection Framework. - Tiago Cunha 001; Carlos Soares; André C. P. L. F. de Carvalho (DS, 2018)

A comparative analysis of the automatic modeling of Learning Styles through Machine Learning techniques. - Lucas D. Ferreira; Gabriel Spadon; André C. P. L. F. de Carvalho; José F. Rodrigues Jr. (FIE, 2018)

Preprocessing Technique for Cluster Editing via Integer Linear Programming. - Luiz Henrique Nogueira Lorena; Marcos Gonçalves Quiles; André Carlos Ponce de Leon Ferreira de Carvalho; Luiz Antonio Nogueira Lorena (ICIC (1), 2018)

Unsupervised Domain Adaptation for Human Activity Recognition. - Paulo Barbosa; Kemilly Dearo Garcia; João Mendes-Moreira 001; André C. P. L. F. de Carvalho (IDEAL (1), 2018)

A Cluster-Based Prototype Reduction for Online Classification. - Kemilly Dearo Garcia; André C. P. L. F. de Carvalho; João Mendes-Moreira 001 (IDEAL (1), 2018)

Data Complexity Measures for Imbalanced Classification Tasks. - Victor H. Barella; Luís Paulo F. Garcia; Marcilio C. P. de Souto; Ana Carolina Lorena; André C. P. L. F. de Carvalho (IJCNN, 2018)

Multi-label Feature Selection Techniques for Hierarchical Multi-label Protein Function Prediction. - Ricardo Cerri; Rafael Gomes Mantovani; Márcio P. Basgalupp; André C. P. L. F. de Carvalho (IJCNN, 2018)

Statistical versus Distance-Based Meta-Features for Clustering Algorithm recommendation Using Meta-Learning. - Bruno Almeida Pimentel; André C. P. L. F. de Carvalho (IJCNN, 2018)

CF4CF: recommending collaborative filtering algorithms using collaborative filtering. - Tiago Cunha 001; Carlos Soares; André C. P. L. F. de Carvalho (RecSys, 2018)

A label ranking approach for selecting rankings of collaborative filtering algorithms. - Tiago Cunha 001; Carlos Soares; André C. P. L. F. de Carvalho (SAC, 2018)

A smartphone application to measure the quality of pest control spraying machines via image analysis. - Bruno Brandoli Machado; Gabriel Spadon; Mauro S. Arruda; Wesley Nunes Gonçalves; André C. P. L. F. de Carvalho; José F. Rodrigues Jr. (SAC, 2018)

S^2FS : Single Score Feature Selection Applied to the Problem of Distinguishing Long Non-coding RNAs from Protein Coding Transcripts. - Bruno C. Kümmel; André C. P. L. F. de Carvalho; Marcelo M. Brigido; Célia Ghedini Ralha; Maria Emília M. T. Walter (BSB, 2018)

Algorithm Selection for Collaborative Filtering: the influence of graph metafeatures and multicriteria metatargets. - Tiago Cunha 001; Carlos Soares; André C. P. L. F. de Carvalho (CoRR, 2018)

Towards Reproducible Empirical Research in Meta-Learning. - Adriano Rivolli; Luís Paulo F. Garcia; Carlos Soares; Joaquin Vanschoren; André C. P. L. F. de Carvalho (CoRR, 2018)

cf2vec: Collaborative Filtering algorithm selection using graph distributed representations. - Tiago Cunha 001; Carlos Soares; André C. P. L. F. de Carvalho (CoRR, 2018)

A Preliminary Study on Hyperparameter Configuration for Human Activity Recognition. - Kemilly Dearo Garcia; Tiago Carvalho 001; João Mendes-Moreira 001; João M. P. Cardoso; André C. P. L. F. de Carvalho (CoRR, 2018)

An empirical study on hyperparameter tuning of decision trees. - Rafael Gomes Mantovani; Tomás Horváth; Ricardo Cerri; Sylvio Barbon Junior; Joaquin Vanschoren; André Carlos Ponce de Leon Ferreira de Carvalho (CoRR, 2018)

Enhancing multilabel classification for food truck recommendation. - Adriano Rivolli; Carlos Soares; André C. P. L. F. de Carvalho (Expert Syst. J. Knowl. Eng., 2018)

Adaptive Biometric Systems using Ensembles. - Paulo Henrique Pisani; Ana Carolina Lorena; André C. P. L. F. de Carvalho (IEEE Intell. Syst., 2018)

An online adaptive classifier ensemble for mining non-stationary data streams. - Alberto Verdecia-Cabrera; Isvani Inocencio Frías Blanco; André C. P. L. F. de Carvalho (Intell. Data Anal., 2018)

Special issue SOCO 2014: Recent advancements in soft computing and its application in industrial and environmental problems. - Pablo García Bringas; André C. P. L. F. de Carvalho; Ajith Abraham; Álvaro Herrero 001; Héctor Quintián; Emilio Corchado (Neurocomputing, 2018)

Metalearning and Recommender Systems: A literature review and empirical study on the algorithm selection problem for Collaborative Filtering. - Tiago Cunha 001; Carlos Soares; André C. P. L. F. de Carvalho (Inf. Sci., 2018)

Strict Very Fast Decision Tree: A memory conservative algorithm for data stream mining. - Victor Guilherme Turrisi da Costa; André Carlos Ponce de Leon Ferreira de Carvalho; Sylvio Barbon Junior (Pattern Recognit. Lett., 2018)

The utiml Package: Multi-label Classification in R. - Adriano Rivolli; André C. P. L. F. de Carvalho (R J., 2018)

A non-negative matrix factorization approach to update communities in temporal networks using node features. - Renny Márquez; Richard Weber 002; André C. P. L. F. de Carvalho (ASONAM, 2019)

The Influence of Sampling on Imbalanced Data Classification. - Victor H. Barella; Luís Paulo F. Garcia; André C. P. L. F. de Carvalho (BRACIS, 2019)

Selecting the Most Relevant Features for the Identification of Long Non-Coding RNAs in Plants. - Robson Parmezan Bonidia; André Carlos Ponce de Leon Ferreira de Carvalho; Alexandre Rossi Paschoal; Danilo Sipoli Sanches (BRACIS, 2019)

Explainable Machine Learning for Breast Cancer Diagnosis. - Tamires Brito-Sarracino; Moisés Rocha dos Santos; Eric Freire Antunes; Iury Batista de Andrade Santos; Jonas Coelho Kasmanas; André Carlos Ponce de Leon Ferreira de Carvalho (BRACIS, 2019)

Online Local Boosting: Improving Performance in Online Decision Trees. - Victor Guilherme Turrisi da Costa; Saulo Martiello Mastelini; André Carlos Ponce de Leon Ferreira de Carvalho; Sylvio Barbon (BRACIS, 2019)

Ensemble Clustering for Novelty Detection in Data Streams. - Kemilly Dearo Garcia; Elaine Ribeiro de Faria; Cláudio Rebelo de Sá; João Mendes-Moreira 001; Charu C. Aggarwal; André C. P. L. F. de Carvalho; Joost N. Kok (DS, 2019)

Online Clustering for Novelty Detection and Concept Drift in Data Streams. - Kemilly Dearo Garcia; Mannes Poel; Joost N. Kok; André C. P. L. F. de Carvalho (EPIA (2), 2019)

Improving the AHT in Telecommunication Companies by Automatic Modeling of Call Center Service. - Henrique de Castro Neto; Rita Maria da Silva Julia; Elaine Ribeiro de Faria Paiva; André Carlos Ponce de Leon Ferreira de Carvalho; Anisio Pereira Santos Junior; Diansley Raphael Santos Peres; Etienne Silva Julia; Jony Teixeira de Melo; Umberto Maia Barcelos; Josiane Esteves de Assis (EPIA (2), 2019)

Feature-Based Time Series Classification for Service Request Opening Prediction in the Telecom Industry. - Fabíola S. F. Pereira; André C. P. L. F. de Carvalho; Rafael Assis; Maxley Costa; Elaine R. Faria; Rita Maria da Silva Julia; Umberto Barcelos; Jony Melo (EPIA (2), 2019)

Improving Portfolio Optimization Using Weighted Link Prediction in Dynamic Stock Networks. - Douglas Castilho 001; João Gama 001; Leandro Resende Mundim; André C. P. L. F. de Carvalho (ICCS (3), 2019)

Multi-objective Basic Variable Neighborhood Search for Portfolio Selection. - Thiago Alves de Queiroz; Leandro Resende Mundim; André Carlos Ponce de Leon Ferreira de Carvalho (ICVNS, 2019)

Qualitative data clustering: a new Integer Linear Programming model. - Luiz Henrique Nogueira Lorena; Marcos Gonçalves Quiles; Luiz Antonio Nogueira Lorena; André C. P. L. F. de Carvalho; Juliana Garcia Cespedes (IJCNN, 2019)

Unsupervised Meta-Learning for Clustering Algorithm Recommendation. - Bruno Almeida Pimentel; André C. P. L. F. de Carvalho (IJCNN, 2019)

Fraud Detection Using Explainable Machine Learning Algorithms. - Luciano Carli Moreira de Andrade; André C. P. L. F. de Carvalho (MLDM (1), 2019)

Local Interpretation Methods to Machine Learning Using the Domain of the Feature Space. - Tiago Botari; Rafael Izbicki; André C. P. L. F. de Carvalho (PKDD/ECML Workshops (1), 2019)

Gradient Boosting Machine and LSTM Network for Online Harassment Detection and Categorization in Social Media. - Fabíola S. F. Pereira; Thiago Andrade; André C. P. L. F. de Carvalho (PKDD/ECML Workshops (2), 2019)

A Study on Hyperparameter Configuration for Human Activity Recognition. - Kemilly Dearo Garcia; Tiago Carvalho 001; João Mendes-Moreira 001; João M. P. Cardoso; André C. P. L. F. de Carvalho (SOCO, 2019)

Inducing Hierarchical Multi-label Classification rules with Genetic Algorithms. - Ricardo Cerri; Márcio P. Basgalupp; Rodrigo C. Barros; André C. P. L. F. de Carvalho (Appl. Soft Comput., 2019)

Experimental correlation analysis of bicluster coherence measures and gene ontology information. - Victor Alexandre Padilha; André Carlos Ponce de Leon Ferreira de Carvalho (Appl. Soft Comput., 2019)

Machine learning meets genome assembly. - Kleber Padovani de Souza; João Carlos Setubal; André Carlos Ponce de Leon Ferreira de Carvalho; Guilherme Oliveira; Annie Chateau; Ronnie Alves (Briefings Bioinform., 2019)

Online Multi-target regression trees with stacked leaf models. - Saulo Martiello Mastelini; Sylvio Barbon Jr.; André Carlos Ponce de Leon Ferreira de Carvalho (CoRR, 2019)

Reconstructing commuters network using machine learning and urban indicators. - Gabriel Spadon; André C. P. L. F. de Carvalho; José F. Rodrigues Jr.; Luiz G. A. Alves (CoRR, 2019)

Transfer Learning for Algorithm Recommendation. - Gean Trindade Pereira; Moisés Rocha dos Santos; Edesio Alcobaça; Rafael Gomes Mantovani; André C. P. L. F. de Carvalho (CoRR, 2019)

Adaptive Biometric Systems: Review and Perspectives. - Paulo Henrique Pisani; Abir Mhenni; Romain Giot; Estelle Cherrier; Norman Poh; André Carlos Ponce de Leon Ferreira de Carvalho; Christophe Rosenberger; Najoua Essoukri Ben Amara (ACM Comput. Surv., 2019)

Special issue HAIS 2014: Recent advancements in hybrid artificial intelligence systems and its application to real-world problems. - Marios M. Polycarpou; André Carlos Ponce de Leon Ferreira de Carvalho; Jeng-Shyang Pan 001; Michal Wozniak 001; Héctor Quintián; Emilio Corchado (Neurocomputing, 2019)

Empirical investigation of active learning strategies. - Davi Pereira dos Santos; Ricardo Bastos Cavalcante Prudêncio; André Carlos Ponce de Leon Ferreira de Carvalho (Neurocomputing, 2019)

Evolutionary inversion of class distribution in overlapping areas for multi-class imbalanced learning. - Everlandio R. Q. Fernandes; André C. P. L. F. de Carvalho (Inf. Sci., 2019)

A meta-learning recommender system for hyperparameter tuning: Predicting when tuning improves SVM classifiers. - Rafael Gomes Mantovani; André L. D. Rossi; Edesio Alcobaça; Joaquin Vanschoren; André C. P. L. F. de Carvalho (Inf. Sci., 2019)

A new data characterization for selecting clustering algorithms using meta-learning. - Bruno Almeida Pimentel; André C. P. L. F. de Carvalho (Inf. Sci., 2019)

New label noise injection methods for the evaluation of noise filters. - Luís Paulo F. Garcia; Jens Lehmann 001; André C. P. L. F. de Carvalho; Ana Carolina Lorena (Knowl. Based Syst., 2019)

Bringing robustness against adversarial attacks. - Gean Trindade Pereira; André C. P. L. F. de Carvalho (Nat. Mach. Intell., 2019)

A meta-learning approach for selecting image segmentation algorithm. - Gabriel Jonas Aguiar; Rafael Gomes Mantovani; Saulo Martiello Mastelini; André C. P. L. F. de Carvalho; Gabriel F. C. Campos; Sylvio Barbon Junior (Pattern Recognit. Lett., 2019)

Simulating Complexity Measures on Imbalanced Datasets. - Victor H. Barella; Luís Paulo F. Garcia; André C. P. L. F. de Carvalho (BRACIS (2), 2020)

2CS: Correlation-Guided Split Candidate Selection in Hoeffding Tree Regressors. - Saulo Martiello Mastelini; André Carlos Ponce de Leon Ferreira de Carvalho (BRACIS (2), 2020)

Evaluation of Error Metrics for Meta-learning Label Definition in the Forecasting Task. - Moisés Rocha dos Santos; Leandro Resende Mundim; André C. P. L. F. de Carvalho (HAIS, 2020)

Combining Mutation and Gene Network Data in a Machine Learning Approach for False-Positive Cancer Driver Gene Discovery. - Jorge Francisco Cutigi; Renato Feijo Evangelista; Rodrigo Henrique Ramos; Cynthia de Oliveira Lage Ferreira; Adriane Feijo Evangelista; André C. P. L. F. de Carvalho; Adenilso Simão (BSB, 2020)

A Novel Decomposing Model With Evolutionary Algorithms for Feature Selection in Long Non-Coding RNAs. - Robson Parmezan Bonidia; Jaqueline Sayuri Machida; Tatianne da Costa Negri; Wonder Alexandre Luz Alves; André Y. Kashiwabara; Douglas Silva Domingues; André C. P. L. F. de Carvalho; Alexandre Rossi Paschoal; Danilo Sipoli Sanches (IEEE Access, 2020)

Characterizing the Impact of Social Inequality on COVID-19 Propagation in Developing Countries. - Evelin Helena Silva Cardoso; Marcelino Silva da Silva; Francisco Eguinaldo De Albuquerque Félix Júnior; Solon Venâncio de Carvalho; André Carlos Ponce de Leon Ferreira de Carvalho; Nandamudi Vijaykumar; Carlos Renato Lisboa Francês (IEEE Access, 2020)

Learning to associate detections for real-time multiple object tracking. - Michel C. Meneses; Leonardo N. Matos; Bruno O. Prado; André Carlos Ponce de Leon Ferreira de Carvalho; Hendrik T. Macedo (CoRR, 2020)

Rethinking Default Values: a Low Cost and Efficient Strategy to Define Hyperparameters. - Rafael Gomes Mantovani; André Luis Debiaso Rossi; Edesio Alcobaça; Jadson Castro Gertrudes; Sylvio Barbon Junior; André Carlos Ponce de Leon Ferreira de Carvalho (CoRR, 2020)

DropLeaf: a precision farming smartphone application for measuring pesticide spraying methods. - Bruno Brandoli; Gabriel Spadon; Travis J. Esau; Patrick Hennessy; André C. P. L. F. de Carvalho; José F. Rodrigues Jr.; Sihem Amer-Yahia (CoRR, 2020)

MeLIME: Meaningful Local Explanation for Machine Learning Models. - Tiago Botari; Frederik Hvilshøj; Rafael Izbicki; André C. P. L. F. de Carvalho (CoRR, 2020)

An Extensive Experimental Evaluation of Automated Machine Learning Methods for Recommending Classification Algorithms (Extended Version). - Márcio P. Basgalupp; Rodrigo C. Barros; Alex Guimarães Cardoso de Sá; Gisele L. Pappa; Rafael Gomes Mantovani; André C. P. L. F. de Carvalho; Alex Alves Freitas (CoRR, 2020)

Boosting meta-learning with simulated data complexity measures. - Luís Paulo F. Garcia; Adriano Rivolli; Edesio Alcobaça; Ana Carolina Lorena; André C. P. L. F. de Carvalho (Intell. Data Anal., 2020)

MFE: Towards reproducible meta-feature extraction. - Edesio Alcobaça; Felipe Siqueira; Adriano Rivolli; Luís Paulo F. Garcia; Jefferson Tales Oliva; André C. P. L. F. de Carvalho (J. Mach. Learn. Res., 2020)

A Meta-learning approach for recommending the number of clusters for clustering algorithms. - Bruno Almeida Pimentel; André C. P. L. F. de Carvalho (Knowl. Based Syst., 2020)

An empirical analysis of binary transformation strategies and base algorithms for multi-label learning. - Adriano Rivolli; Jesse Read; Carlos Soares; Bernhard Pfahringer; André C. P. L. F. de Carvalho (Mach. Learn., 2020)

An intelligent and generic approach for detecting human emotions: a case study with facial expressions. - Leandro Y. Mano; Bruno S. Faiçal; Vinícius P. Gonçalves 001; Gustavo Pessin; Pedro Henrique Gomes; André C. P. L. F. de Carvalho; Jó Ueyama (Soft Comput., 2020)

Ensemble of Classifiers Based on Multiobjective Genetic Sampling for Imbalanced Data. - Everlandio R. Q. Fernandes; André C. P. L. F. de Carvalho; Xin Yao 001 (IEEE Trans. Knowl. Data Eng., 2020)

Evaluating Clustering Meta-features for Classifier Recommendation. - Luís Paulo F. Garcia; Felipe Campelo; Guilherme Novaes Ramos; Adriano Rivolli; André C. P. L. F. de Carvalho (BRACIS (1), 2021)

Evaluating Topic Models in Portuguese Political Comments About Bills from Brazil's Chamber of Deputies. - Nádia Félix F. da Silva; Marília Costa R. Silva; Fabíola S. F. Pereira; João Pedro M. Tarrega; João Vitor P. Beinotti; Márcio Fonseca; Francisco Edmundo de Andrade; André C. P. L. F. de Carvalho (BRACIS (2), 2021)

Evaluate Pseudo Labeling and CNN for Multi-variate Time Series Classification in Low-Data Regimes. - Dino Ienco; Davi Pereira dos Santos; André C. P. L. F. de Carvalho (ICANN (5), 2021)

Time-Series in Hyper-parameter Initialization of Machine Learning Techniques. - Tomás Horváth; Rafael Gomes Mantovani; André C. P. L. F. de Carvalho (IDEAL, 2021)

Seasonal-Trend decomposition based on Loess + Machine Learning: Hybrid Forecasting for Monthly Univariate Time Series. - Gabriel Dalforno Silvestre; Moisés Rocha dos Santos; André C. P. L. F. de Carvalho (IJCNN, 2021)

Fast and lightweight binary and multi-branch Hoeffding Tree Regressors. - Saulo Martiello Mastelini; Jacob Montiel; Heitor Murilo Gomes; Albert Bifet; Bernhard Pfahringer; André C. P. L. F. de Carvalho (ICDM (Workshops), 2021)

A Study of the Correlation of Metafeatures Used for Metalearning. - Adriano Rivolli; Luís Paulo F. Garcia; Ana Carolina Lorena; André C. P. L. F. de Carvalho (IWANN (1), 2021)

An Information Retrieval Pipeline for Legislative Documents from the Brazilian Chamber of Deputies. - Ellen Souza 001; Douglas Vitório; Gyovana Moriyama; Luiz Santos; Lucas Martins; Mariana Souza; Márcio Fonseca F. da Silva; Nádia Félix; André C. P. L. F. de Carvalho; Hidelberg Oliveira Albuquerque; Adriano L. I. Oliveira (JURIX, 2021)

Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification. - Adrian El Baz; Ihsan Ullah; Edesio Alcobaça; André C. P. L. F. de Carvalho; Hong Chen 011; Fabio Ferreira; Henry Gouk; Chaoyu Guan; Isabelle Guyon; Timothy M. Hospedales; Shell Hu; Mike Huisman; et al. (NeurIPS (Competition and Demos), 2021)

Feature Importance Analysis of Non-coding DNA/RNA Sequences Based on Machine Learning Approaches. - Breno Lívio Silva de Almeida; Alvaro Pedroso Queiroz; Anderson Paulo Avila Santos; Robson Parmezan Bonidia; Ulisses Nunes da Rocha; Danilo Sipoli Sanches; André Carlos Ponce de Leon Ferreira de Carvalho (BSB, 2021)

MathPIP: Classification of Proinflammatory Peptides Using Mathematical Descriptors. - João Pedro Uchôa Cavalcante; Anderson Cardoso Gonçalves; Robson Parmezan Bonidia; Danilo Sipoli Sanches; André Carlos Ponce de Leon Ferreira de Carvalho (BSB, 2021)

Feature extraction approaches for biological sequences: a comparative study of mathematical features. - Robson Bonidia; Lucas Dias H. Sampaio; Douglas Silva Domingues; Alexandre Rossi Paschoal; Fabrício Martins Lopes; André C. P. L. F. de Carvalho; Danilo Sipoli Sanches (Briefings Bioinform., 2021)

Casboundary: automated definition of integral Cas cassettes. - Victor Alexandre Padilha; Omer S. Alkhnbashi; Van Dinh Tran; Shiraz A. Shah; André C. P. L. F. de Carvalho; Rolf Backofen (Bioinform., 2021)

DropLeaf: A precision farming smartphone tool for real-time quantification of pesticide application coverage. - Bruno Brandoli; Gabriel Spadon; Travis J. Esau; Patrick Hennessy; André C. P. L. F. de Carvalho; Sihem Amer-Yahia; José F. Rodrigues Jr. (Comput. Electron. Agric., 2021)

Towards a reinforcement learning de novo genome assembler. - Kleber Padovani de Souza; Roberto Xavier; André C. P. L. F. de Carvalho; Anna Reali; Annie Chateau; Ronnie Alves (CoRR, 2021)

Evaluating Meta-Feature Selection for the Algorithm Recommendation Problem. - Geand Trindade Pereira; Moisés Rocha dos Santos; André Carlos Ponce de Leon Ferreira de Carvalho (CoRR, 2021)

Predictable universally unique identification of sequential events on complex objects. - Davi Pereira-Santos; Gabriel Dalforno; André C. P. L. F. de Carvalho (CoRR, 2021)

An extensive experimental evaluation of automated machine learning methods for recommending classification algorithms. - Márcio P. Basgalupp; Rodrigo C. Barros; Alex Guimarães Cardoso de Sá; Gisele L. Pappa; Rafael Gomes Mantovani; André C. P. L. F. de Carvalho; Alex Alves Freitas (Evol. Intell., 2021)

Performance evaluation of outlier rules for labelling outliers in multidimensional dataset. - Kelly C. Ramos Da Silva; Helder L. Costa De Oliveira; André C. P. L. F. de Carvalho (Int. J. Bus. Intell. Data Min., 2021)

An ensemble of autonomous auto-encoders for human activity recognition. - Kemilly Dearo Garcia; Cláudio Rebelo de Sá; Mannes Poel; Tiago Carvalho 001; João Mendes-Moreira 001; João M. P. Cardoso; André C. P. L. F. de Carvalho; Joost N. Kok (Neurocomputing, 2021)

Assessing the data complexity of imbalanced datasets. - Victor H. Barella; Luís Paulo F. Garcia; Marcilio C. P. de Souto; Ana Carolina Lorena; André C. P. L. F. de Carvalho (Inf. Sci., 2021)

Micro-MetaStream: Algorithm selection for time-changing data. - André Luis Debiaso Rossi; Carlos Soares; Bruno Feres de Souza; André Carlos Ponce de Leon Ferreira de Carvalho (Inf. Sci., 2021)

SmartSORT: an MLP-based method for tracking multiple objects in real-time. - Michel C. Meneses; Leonardo N. Matos; Bruno O. Prado; André Carlos Ponce de Leon Ferreira de Carvalho; Hendrik Teixeira Macedo (J. Real Time Image Process., 2021)

CRISPRloci: comprehensive and accurate annotation of CRISPR-Cas systems. - Omer S. Alkhnbashi; Alexander Mitrofanov; Robson Bonidia; Martin Raden; Van Dinh Tran; Florian Eggenhofer; Shiraz A. Shah; Ekrem Öztürk; Victor Alexandre Padilha; Danilo Sipoli Sanches; André C. P. L. F. de Carvalho; Rolf Backofen (Nucleic Acids Res., 2021)

HumanMetagenomeDB: a public repository of curated and standardized metadata for human metagenomes. - Jonas Coelho Kasmanas; Alexander Bartholomäus; Felipe Borim Corrêa; Tamara L. Tal; Nico Jehmlich; Gunda Herberth; Martin von Bergen; Peter F. Stadler; André Carlos Ponce de Leon Ferreira de Carvalho; Ulisses Nunes da Rocha (Nucleic Acids Res., 2021)

Preface. - André Carlos Ponce de Leon Ferreira de Carvalho; Anne Magály de Paula Canuto; Graçaliz Pereira Dimuro (Nat. Comput., 2021)

Using dynamical quantization to perform split attempts in online tree regressors. - Saulo Martiello Mastelini; André Carlos Ponce de Leon Ferreira de Carvalho (Pattern Recognit. Lett., 2021)

Ulysses-RFSQ: A Novel Method to Improve Legal Information Retrieval Based on Relevance Feedback. - Douglas Vitório; Ellen Souza 001; Lucas Martins; Nádia Félix F. da Silva; André Carlos Ponce de Leon Ferreira de Carvalho; Adriano L. I. Oliveira (BRACIS (1), 2022)

Expanding UlyssesNER-Br Named Entity Recognition Corpus with Informal User-Generated Text. - Rosimeire Costa; Hidelberg Oliveira Albuquerque; Gabriel Silvestre; Nádia Félix F. da Silva; Ellen Souza 001; Douglas Vitório; Augusto Nunes; Felipe Siqueira; João Pedro M. Tarrega; João Vitor P. Beinotti; Márcio de Souza Dias; Fabíola S. F. Pereira; et al. (EPIA, 2022)

Content-Based Lawsuits Document Image Retrieval. - Daniela L. Freire; André Carlos Ponce de Leon Ferreira de Carvalho; Leonardo Carneiro Feltran; Lara Ayumi Nagamatsu; Kelly Cristina Ramos da Silva; Claudemir Firmino; João Eduardo Ferreira; Pedro Losco Takecian; Danilo Carlotti; Francisco Antonio Cavalcanti Lima; Roberto Mendes Portela (EPIA, 2022)

Lawsuits Document Images Processing Classification. - Daniela L. Freire; André Carlos Ponce de Leon Ferreira de Carvalho; Leonardo Carneiro Feltran; Lara Ayumi Nagamatsu; Kelly Cristina Ramos da Silva; Claudemir Firmino; João Eduardo Ferreira; Pedro Losco Takecian; Danilo Carlotti; Francisco Antonio Cavalcanti Lima; Roberto Mendes Portela (EPIA, 2022)

UlyssesSD-Br: Stance Detection in Brazilian Political Polls. - Dyonnatan Ferreira Maia; Nádia Félix F. da Silva; Ellen Polliana Ramos Souza; Augusto Sousa Nunes; Lucas C. Procópio; Guthemberg da S. Sampaio; Márcio de Souza Dias; Adrio O. Alves; Dyéssica F. Maia; Ingrid A. Ribeiro; Fabíola S. F. Pereira; André C. P. L. F. de Carvalho (EPIA, 2022)

Machine Learning Approach for Trend Prediction to Improve Returns on Brazilian Energy Market. - Moisés R. Santos; Douglas Donizeti de Castilho Braz; André C. P. L. F. de Carvalho; Renato Tinós; Marcos B. S. Paula; Gabriel Doretto; Ewerton Guarnier; Donato da Silva-Filho; Danilo Y. Suiama; Lorena E. Ferreira; José E. Carmo Júnior (LA-CCI, 2022)

UlyssesNER-Br: A Corpus of Brazilian Legislative Documents for Named Entity Recognition. - Hidelberg Oliveira Albuquerque; Rosimeire Costa; Gabriel Silvestre; Ellen Souza 001; Nádia Félix F. da Silva; Douglas Vitório; Gyovana Moriyama; Lucas Martins; Luiza Soezima; Augusto Nunes; Felipe Siqueira; João Pedro M. Tarrega; et al. (PROPOR, 2022)

BioAutoML: automated feature engineering and metalearning to predict noncoding RNAs in bacteria. - Robson Bonidia; Anderson P. Avila-Santos; Breno Lívio Silva de Almeida; Peter F. Stadler; Ulisses Nunes da Rocha; Danilo Sipoli Sanches; André C. P. L. F. de Carvalho (Briefings Bioinform., 2022)

MathFeature: feature extraction package for DNA, RNA and protein sequences based on mathematical descriptors. - Robson Bonidia; Douglas Silva Domingues; Danilo Sipoli Sanches; André C. P. L. F. de Carvalho (Briefings Bioinform., 2022)

Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification. - Adrian El Baz; André C. P. L. F. de Carvalho; Hong Chen 011; Fabio Ferreira; Henry Gouk; Shell Hu; Frank Hutter; Zhengying Liu; Felix Mohr; Jan N. van Rijn; Xin Wang 019; Isabelle Guyon (CoRR, 2022)

No Pattern, No Recognition: a Survey about Reproducibility and Distortion Issues of Text Clustering and Topic Modeling. - Marília Costa Rosendo Silva; Felipe Alves Siqueira; João Pedro Mantovani Tarrega; João Vitor Pataca Beinotti; Augusto Sousa Nunes; Miguel de Mattos Gardini; Vinícius Adolfo Pereira da Silva; Nádia Félix Felipe da Silva; André Carlos Ponce de Leon Ferreira de Carvalho (CoRR, 2022)

Model interpretation using improved local regression with variable importance. - Gilson Y. Shimizu; Rafael Izbicki; André C. P. L. F. de Carvalho (CoRR, 2022)

An agent-based approach to procedural city generation incorporating Land Use and Transport Interaction models. - Luiz Fernando Silva Eugênio dos Santos; Claus Aranha; André Carlos Ponce de Leon Ferreira de Carvalho (CoRR, 2022)

Information Theory for Biological Sequence Classification: A Novel Feature Extraction Technique Based on Tsallis Entropy. - Robson Parmezan Bonidia; Anderson P. Avila-Santos; Breno Lívio Silva de Almeida; Peter F. Stadler; Ulisses Nunes da Rocha; Danilo Sipoli Sanches; André C. P. L. F. de Carvalho (Entropy, 2022)

Using meta-learning for multi-target regression. - Gabriel Jonas Aguiar; Everton José Santana; André C. P. L. F. de Carvalho; Sylvio Barbon Junior (Inf. Sci., 2022)

Meta-features for meta-learning. - Adriano Rivolli; Luís Paulo F. Garcia; Carlos Soares; Joaquin Vanschoren; André C. P. L. F. de Carvalho (Knowl. Based Syst., 2022)

On the Assessment of Deep Learning Models for Named Entity Recognition of Brazilian Legal Documents. - Hidelberg Oliveira Albuquerque; Ellen Souza 001; Adriano L. I. Oliveira; David L. Macêdo; Cleber Zanchettin; Douglas Vitório; Nádia Félix F. da Silva; André C. P. L. F. de Carvalho (EPIA (2), 2023)

Nonparametric Dimensionality Reduction Quality Assessment based on Sortedness of Unrestricted Neighborhood. - Davi Pereira-Santos; Tácito Trindade de Araújo Tiburtino Neves; André C. P. L. F. de Carvalho; Fernando V. Paulovich (EuroVA@EuroVis, 2023)

Exploratory Study of Data Sampling Methods for Imbalanced Legal Text Classification. - Daniela L. Freire; Alex Marino Gonçalves de Almeida; Márcio de Souza Dias; Adriano Rivolli; Fabíola S. F. Pereira; Giliard Almeida de Godoi; André C. P. L. F. de Carvalho (HAIS, 2023)

Model Performance Prediction: A Meta-Learning Approach for Concept Drift Detection. - Fernanda A. Melo; André C. P. L. F. de Carvalho; Ana Carolina Lorena; Luís Paulo F. Garcia (HAIS, 2023)

The Strength of Influence Ties in Stock Networks: Empirical Analysis for Portfolio Selection. - Thiago Ambiel; Douglas Castilho 001; André C. P. L. F. de Carvalho (ICDM (Workshops), 2023)

Threshold-Based Classification to Enhance Confidence in Open Set of Legal Texts. - Daniela L. Freire; Alex Marino Gonçalves de Almeida; Márcio de Souza Dias; Adriano Rivolli; Fabíola S. F. Pereira; Giliard Almeida de Godoi; André C. P. L. F. de Carvalho (IDEAL, 2023)

Feature Selection using Complex Networks to Support Price Trend Forecast in Energy Markets. - Douglas Castilho 001; Moisés R. Santos; Renato Tinós; André C. P. L. F. de Carvalho; Marcos B. S. Paula; Lucas Ladeira; Ewerton Guarnier; Donato da Silva-Filho; Danilo Y. Suiama; Antonio Carlos De Oliveira Júnior; Lucas Penido Alípio (IJCNN, 2023)

tsMorph: generation of semi-synthetic time series to understand algorithm performance. - Moisés Rocha dos Santos; André C. P. L. F. de Carvalho; Carlos Soares (CoRR, 2023)

Named Entity Recognition: a Survey for the Portuguese Language. - Hidelberg Oliveira Albuquerque; Ellen Souza 001; Carlos Gomes; Matheus Henrique de C. Pinto; Ricardo P. S. Filho; Rosimeire Costa; Vinícius Teixeira de M. Lopes; Nádia Félix F. da Silva; André C. P. L. F. de Carvalho; Adriano L. I. Oliveira (Proces. del Leng. Natural, 2023)

Hyper-parameter initialization of classification algorithms using dynamic time warping: A perspective on PCA meta-features. - Tomás Horváth; Rafael G. Mantovani; André C. P. L. F. de Carvalho (Appl. Soft Comput., 2023)

Continual Object Detection: A review of definitions, strategies, and challenges. - Angelo G. Menezes; Gustavo de Moura; Cézanne Alves; André C. P. L. F. de Carvalho (Neural Networks, 2023)

Online Extra Trees Regressor. - Saulo Martiello Mastelini; Felipe Kenji Nakano; Celine Vens; André Carlos Ponce de Leon Ferreira de Carvalho (IEEE Trans. Neural Networks Learn. Syst., 2023)

Neural architecture search with interpretable meta-features and fast predictors. - Gean Trindade Pereira; Iury Batista de Andrade Santos; Luís Paulo F. Garcia; Thierry Urruty; Muriel Visani; André C. P. L. F. de Carvalho (Inf. Sci., 2023)

Enhancing Algorithm Performance Understanding through tsMorph: Generating Semi-Synthetic Time Series for Robust Forecasting Evaluation. - Moisés Santos; André C. P. L. F. de Carvalho; Carlos Soares (AEQUITAS@ECAI, 2024)

Assessing Advanced Computer Vision Techniques in Aerial Imagery: A Case Study on Transmission Tower Identification. - Daniela L. Freire; André C. P. L. F. de Carvalho; Augusto José Peterlevitz; Mateus A. Chinelatto; Ricardo Dutra da Silva; Juan Fernando Rojas Perea (EPIA (2), 2024)

HIRS: A Hybrid Information Retrieval System for Legislative Documents. - José Antônio dos Santos; Ellen Souza 001; Carmelo J. A. Bastos Filho; Hidelberg Oliveira Albuquerque; Douglas Vitório; Danilo Carlos Gouveia de Lucena; Nádia Félix F. da Silva; André C. P. L. F. de Carvalho (EPIA (1), 2024)

Applying LSTM Recurrent Neural Networks to Predict Revenue. - Luis Eduardo Pelin Cardoso; André C. P. L. F. de Carvalho; Marcos G. Quiles (ICCSA (2), 2024)

Enhancing Explainability in Oral Cancer Detection with Grad-CAM Visualizations. - Arnaldo Vitor Barros da Silva; Cristina Saldivia-Siracusa; Eduardo Santos Carlos de Souza; Anna Luíza Damaceno Araújo; Marcio Ajudarte Lopes; Pablo Agustin Vargas; Luiz Paulo Kowalski; Alan Roger Santos-Silva; André C. P. L. F. de Carvalho; Marcos G. Quiles (ICCSA (1), 2024)

A Methodology for Automated Conversion of Axis-Aligned to Polygonal and Oriented Bounding Box Annotations in Aerial Imagery Object Detection. - Daniela L. Freire; André C. P. L. F. de Carvalho; Augusto José Peterlevitz; Mateus Antonio Chinelatto; Ricardo Dutra da Silva; Juan Fernando Rojas Perea (IDEAL (2), 2024)

UlyssesNERQ: Expanding Queries from Brazilian Portuguese Legislative Documents through Named Entity Recognition. - Hidelberg Albuquerque; Ellen Souza 001; Tainan Silva; Rafael P. Gouveia; Flávio Rocha Junior; Douglas Vitório; Nádia Félix F. da Silva; André C. P. L. F. de Carvalho; Adriano Lorena Inácio de Oliveira; Francisco Edmundo de Andrade (PROPOR (1), 2024)

Natural Language Processing Application in Legislative Activity: a Case Study of Similar Amendments in the Brazilian Senate. - Diany Pressato; Pedro Lucas Castro de Andrade; Flávio Rocha Junior; Felipe Alves Siqueira; Ellen Polliana Ramos Souza; Nádia Félix Felipe da Silva; Márcio de Souza Dias; André Carlos Ponce de Leon Ferreira de Carvalho (PROPOR (1), 2024)

Efficient Parameter Mining and Freezing for Continual Object Detection. - Angelo G. Menezes; Augusto José Peterlevitz; Mateus Antonio Chinelatto; André C. P. L. F. de Carvalho (VISIGRAPP (2): VISAPP, 2024)

ProtoAL: Interpretable Deep Active Learning with prototypes for medical imaging. - Iury Batista de Andrade Santos; André C. P. L. F. de Carvalho (CoRR, 2024)

Democratising Artificial Intelligence for Pandemic Preparedness and Global Governance in Latin American and Caribbean Countries. - André C. P. L. F. de Carvalho; Robson Bonidia; Jude Dzevela Kong; Mariana Dauhajre; Cláudio José Struchiner; Guilherme Tegoni Goedert; Peter F. Stadler; Maria Emília M. T. Walter; Danilo Sipoli Sanches; Troy Day; Marcia Castro; John Edmunds; et al. (CoRR, 2024)

Multi-source data ensemble for energy price trend forecasting. - Douglas Donizeti de Castilho Braz; Moisés Rocha dos Santos; Marcos Basile Saviano de Paula; Donato da Silva-Filho; Ewerton Guarnier; Lucas Penido Alípio; Renato Tinós; André C. P. L. F. de Carvalho (Eng. Appl. Artif. Intell., 2024)

What rating they will probably give: A cognitive diagnosis approach for recommending items based on polytomous responses and latent attributes. - Fernanda Tostes Marana; Renato da Silva Fernandes; Jorge Luis Bazán Guzmán; André Carlos Ponce de Leon Ferreira de Carvalho; Mariana Curi (Expert Syst. Appl., 2024)

RoBERTaLexPT: um modelo RoBERTa jurídico pré-treinado com deduplicação para língua Portuguesa. - Eduardo Augusto Santos Garcia; Nádia Félix Felipe da Silva; Juliana Resplande Sant'Anna Gomes; Hidelberg Albuquerque; Ellen Souza 001; Felipe Siqueira; Eliomar Araújo de Lima; André Carlos Ponce de Leon Ferreira de Carvalho (Linguamática, 2024)

SWINN: Efficient nearest neighbor search in sliding windows using graphs. - Saulo Martiello Mastelini; Bruno Veloso; Max Halford; André Carlos Ponce de Leon Ferreira de Carvalho; João Gama 001 (Inf. Fusion, 2024)

A review on preprocessing algorithm selection with meta-learning. - Pedro B. Pio; Adriano Rivolli; André C. P. L. F. de Carvalho; Luís Paulo F. Garcia (Knowl. Inf. Syst., 2024)

Better trees: an empirical study on hyperparameter tuning of classification decision tree induction algorithms. - Rafael Gomes Mantovani; Tomás Horváth; André L. D. Rossi; Ricardo Cerri; Sylvio Barbon Junior; Joaquin Vanschoren; André C. P. L. F. de Carvalho (Data Min. Knowl. Discov., 2024)

Forecasting financial market structure from network features using machine learning. - Douglas Castilho 001; Thársis T. P. Souza; Soong Moon Kang; João Gama 001; André C. P. L. F. de Carvalho (Knowl. Inf. Syst., 2024)

Efficient online tree, rule-based and distance-based algorithms. - Saulo Martiello Mastelini; André Carlos Ponce de Leon Ferreira de Carvalho (J. Braz. Comput. Soc., 2025)

BM25 x Vila Sésamo: avaliando modelos Sentence-BERT para Recuperação de Informação no cenário legislativo brasileiro. - Douglas Vitório; Ellen Souza 001; José Antônio dos Santos; André Carlos Ponce de Leon Ferreira de Carvalho; Adriano Lorena Inácio de Oliveira; Nádia Félix F. da Silva (Linguamática, 2025)

International AI Safety Report. - Yoshua Bengio; Sören Mindermann; Daniel Privitera; Tamay Besiroglu; Rishi Bommasani; Stephen Casper; Yejin Choi 001; Philip Fox; Ben Garfinkel; Danielle Goldfarb; Hoda Heidari; Anson Ho; et al. (CoRR, 2025)

Ulysses Tesemõ: a new large corpus for Brazilian legal and governmental domain. - Felipe Alves Siqueira; Douglas Vitório; Ellen Souza 001; José A. P. Santos; Hidelberg Oliveira Albuquerque; Márcio de Souza Dias; Nádia Félix F. da Silva; André C. P. L. F. de Carvalho; Adriano L. I. Oliveira; Carmelo J. A. Bastos Filho (Lang. Resour. Evaluation, 2025)

Building a relevance feedback corpus for legal information retrieval in the real-case scenario of the Brazilian Chamber of Deputies. - Douglas Vitório; Ellen Souza 001; Lucas Martins; Nádia Félix F. da Silva; André Carlos Ponce de Leon Ferreira de Carvalho; Adriano Lorena Inácio de Oliveira; Francisco Edmundo de Andrade (Lang. Resour. Evaluation, 2025)

Dynamic Design of Machine Learning Pipelines via Metalearning. - Edesio Alcobaça; André C. P. L. F. de Carvalho (CoRR, 2025)

METAFORE: algorithm selection for decomposition-based forecasting combinations. - Moisés Santos; André C. P. L. F. de Carvalho; Carlos Soares (Int. J. Data Sci. Anal., 2025)