André Carlos Ponce de Leon Ferreira de Carvalho

发表

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, 2018, Pattern Recognit. Lett..

Dimensionality Reduction for the Algorithm Recommendation Problem

André Carlos Ponce de Leon Ferreira de Carvalho, Edesio Alcobaça, Rafael Gomes Mantovani, 2018, 2018 7th Brazilian Conference on Intelligent Systems (BRACIS).

Hierarchical multi-label classification for protein function prediction: A local approach based on neural networks

André Carlos Ponce de Leon Ferreira de Carvalho, Rodrigo C. Barros, Ricardo Cerri, 2011, 2011 11th International Conference on Intelligent Systems Design and Applications.

Meta-learning approach to gene expression data classification

André Carlos Ponce de Leon Ferreira de Carvalho, Bruno Feres de Souza, Carlos Soares, 2009, Int. J. Intell. Comput. Cybern..

DualRadviz: Preserving Context between Classification Evaluation and Data Exploration with RadViz

André Carlos Ponce de Leon Ferreira de Carvalho, Igor Bueno Correa, 2016, 2016 5th Brazilian Conference on Intelligent Systems (BRACIS).

Uma Introdução às Support Vector Machines

André Carlos Ponce de Leon Ferreira de Carvalho, Ana Carolina Lorena, A. C. P. L. F. D. Carvalho, 2007, RITA.

Quantifying Features Using False Nearest Neighbors: An Unsupervised Approach

André Carlos Ponce de Leon Ferreira de Carvalho, Huan Liu, Rodrigo Fernandes de Mello, 2011, 2011 IEEE 23rd International Conference on Tools with Artificial Intelligence.

Consensus Clustering Using Spectral Theory

André Carlos Ponce de Leon Ferreira de Carvalho, Mariá Cristina Vasconcelos Nascimento, Franklina Maria Bragion Toledo, 2008, ICONIP.

New label noise injection methods for the evaluation of noise filters

Jens Lehmann, André Carlos Ponce de Leon Ferreira de Carvalho, Ana Carolina Lorena, 2019, Knowl. Based Syst..

Meta-Learning for Periodic Algorithm Selection in Time-Changing Data

André Carlos Ponce de Leon Ferreira de Carvalho, André Luis Debiaso Rossi, Carlos Soares, 2012, 2012 Brazilian Symposium on Neural Networks.

A comparative analysis of the automatic modeling of Learning Styles through Machine Learning techniques

André Carlos Ponce de Leon Ferreira de Carvalho, José F. Rodrigues, Lucas D. Ferreira, 2018, 2018 IEEE Frontiers in Education Conference (FIE).

A guidance of data stream characterization for meta-learning

André Carlos Ponce de Leon Ferreira de Carvalho, André Luis Debiaso Rossi, Bruno Feres de Souza, 2017, Intell. Data Anal..

Inducing Hierarchical Multi-label Classification rules with Genetic Algorithms

André Carlos Ponce de Leon Ferreira de Carvalho, Rodrigo C. Barros, Ricardo Cerri, 2019, Appl. Soft Comput..

Special track on Data Streams: editorial message

André Carlos Ponce de Leon Ferreira de Carvalho, Jesús S. Aguilar-Ruiz, João Gama, 2008, SAC '08.

Comparing Several Evaluation Functions in the Evolutionary Design of Multiclass Support Vector Machines

André Carlos Ponce de Leon Ferreira de Carvalho, Ana Carolina Lorena, A. Carvalho, 2007, 7th International Conference on Hybrid Intelligent Systems (HIS 2007).

A Multi-objective Optimization Approach Associated to Climate Change Analysis to Improve Systematic Conservation Planning

André Carlos Ponce de Leon Ferreira de Carvalho, Jonathan Timmis, José Alexandre Felizola Diniz-Filho, 2015, EMO.

Unsupervised Meta-Learning for Clustering Algorithm Recommendation

André Carlos Ponce de Leon Ferreira de Carvalho, Bruno A. Pimentel, A. Carvalho, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

The Dimension of Ecocs for Multiclass Classification Problems

André Carlos Ponce de Leon Ferreira de Carvalho, João Gama, Edgar Pimenta, 2008, Int. J. Artif. Intell. Tools.

Improvements in the Partitions Selection Strategy for Set of Clustering Solutions

André Carlos Ponce de Leon Ferreira de Carvalho, Marcílio Carlos Pereira de Souto, Katti Faceli, 2010, 2010 Eleventh Brazilian Symposium on Neural Networks.

A Study on Class Noise Detection and Elimination

André Carlos Ponce de Leon Ferreira de Carvalho, Ana Carolina Lorena, Luís Paulo F. Garcia, 2012, 2012 Brazilian Symposium on Neural Networks.

Evolutionary computing in recommender systems: a review of recent research

André Carlos Ponce de Leon Ferreira de Carvalho, Tomás Horváth, A. Carvalho, 2017, Natural Computing.

evolutionary Design of Code-matrices for Multiclass Problems

André Carlos Ponce de Leon Ferreira de Carvalho, Ana Carolina Lorena, A. Carvalho, 2008, Soft Computing for Knowledge Discovery and Data Mining.

Adapting Noise Filters for Ranking

André Carlos Ponce de Leon Ferreira de Carvalho, Ana Carolina Lorena, Luís Paulo F. Garcia, 2015, 2015 Brazilian Conference on Intelligent Systems (BRACIS).

The discriminant power of RNA features for pre-miRNA recognition

Alexander Schliep, André Carlos Ponce de Leon Ferreira de Carvalho, Ivani de Oliveira Negrão Lopes, 2013, BMC Bioinformatics.

Artificial neural network applied to power system protection

André Carlos Ponce de Leon Ferreira de Carvalho, Denis V. Coury, Mário Oleskovicz, 1998, Proceedings 5th Brazilian Symposium on Neural Networks (Cat. No.98EX209).

Selecting the Most Relevant Features for the Identification of Long Non-Coding RNAs in Plants

André Carlos Ponce de Leon Ferreira de Carvalho, Danilo Sipoli Sanches, Robson Parmezan Bonidia, 2019, BRACIS.

MetaStream: A meta-learning based method for periodic algorithm selection in time-changing data

André Carlos Ponce de Leon Ferreira de Carvalho, André Luis Debiaso Rossi, Bruno Feres de Souza, 2014, Neurocomputing.

Clus-DTI: improving decision-tree classification with a clustering-based decision-tree induction algorithm

André Carlos Ponce de Leon Ferreira de Carvalho, Rodrigo C. Barros, Márcio P. Basgalupp, 2012, Journal of the Brazilian Computer Society.

Evolutionary model tree induction

Alex Alves Freitas, André Carlos Ponce de Leon Ferreira de Carvalho, Rodrigo C. Barros, 2010, SAC '10.

Classifier Combination Applied for Understanding of Eyes Images

André Carlos Ponce de Leon Ferreira de Carvalho, Antonio Valério Netto, 2005, Int. J. Comput. Intell. Appl..

To tune or not to tune: Recommending when to adjust SVM hyper-parameters via meta-learning

Bernd Bischl, André Carlos Ponce de Leon Ferreira de Carvalho, Rafael Gomes Mantovani, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

A Forest Representation for Evolutionary Algorithms Applied to Network Design

André Carlos Ponce de Leon Ferreira de Carvalho, Alexandre C. B. Delbem, 2003, GECCO.

A hybrid case adaptation approach for case-based reasoning

André Carlos Ponce de Leon Ferreira de Carvalho, Alexandre C. B. Delbem, Cláudio Adriano Policastro, 2008, Applied Intelligence.

Knowledge discovery from data streams

André Carlos Ponce de Leon Ferreira de Carvalho, João Gama, Pedro Pereira Rodrigues, 2009, Intell. Data Anal..

An empirical study on hyperparameter tuning of decision trees pdf

André Carlos Ponce de Leon Ferreira de Carvalho, Sylvio Barbon Junior, Rafael Gomes Mantovani, 2018, ArXiv.

LEGAL-tree: a lexicographic multi-objective genetic algorithm for decision tree induction

Alex Alves Freitas, André Carlos Ponce de Leon Ferreira de Carvalho, Rodrigo C. Barros, 2009, SAC '09.

Pre-processing for noise detection in gene expression classification data

André Carlos Ponce de Leon Ferreira de Carvalho, Ana Carolina Lorena, Giampaolo L. Libralon, 2009, Journal of the Brazilian Computer Society.

An adaptive approach for UAV-based pesticide spraying in dynamic environments

André Carlos Ponce de Leon Ferreira de Carvalho, Bhaskar Krishnamachari, Jo Ueyama, 2017, Comput. Electron. Agric..

Pixel clustering by adaptive pixel moving and chaotic synchronization

André Carlos Ponce de Leon Ferreira de Carvalho, Zhaohui Li, Liang Zhao, 2004, IEEE Trans. Neural Networks.

Automatic Design of Decision-Tree Induction Algorithms

Alex Alves Freitas, André Carlos Ponce de Leon Ferreira de Carvalho, Rodrigo C. Barros, 2015, SpringerBriefs in Computer Science.

PVis — Partitions' visualizer: Extracting knowledge by visualizing a collection of partitions

André Carlos Ponce de Leon Ferreira de Carvalho, Marcílio Carlos Pereira de Souto, Katti Faceli, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Protein cellular localization prediction with Support Vector Machines and Decision Trees

André Carlos Ponce de Leon Ferreira de Carvalho, Ana Carolina Lorena, A. Carvalho, 2007, Comput. Biol. Medicine.

Comparing different clustering techniques-RBF networks training

André Carlos Ponce de Leon Ferreira de Carvalho, M. M. Brizzotti, 2000, Proceedings. Vol.1. Sixth Brazilian Symposium on Neural Networks.

Gene Clusters Analysis Using Text Mining

André Carlos Ponce de Leon Ferreira de Carvalho, Deborah J. Medeiros, 2004, WOB.

Special issue for the SBRN Guest Editorial

André Carlos Ponce de Leon Ferreira de Carvalho, Marley M. B. R. Vellasco, Marcílio Carlos Pereira de Souto, 2010, Neurocomputing.

Use of Classification Algorithms in Noise Detection and Elimination

André Carlos Ponce de Leon Ferreira de Carvalho, Ana Carolina Lorena, Luís Paulo F. Garcia, 2009, HAIS.

Hybrid Approach for Case Adaptation

André Carlos Ponce de Leon Ferreira de Carvalho, Alexandre C. B. Delbem, Cláudio Adriano Policastro, 2003, HIS.

Use of gene dependent mutation probability in evolutionary neural networks for non-stationary problems

André Carlos Ponce de Leon Ferreira de Carvalho, Renato Tinós, R. Tinós, 2006, Neurocomputing.

Multi-objective Basic Variable Neighborhood Search for Portfolio Selection

André Carlos Ponce de Leon Ferreira de Carvalho, Thiago Alves de Queiroz, Leandro Resende Mundim, 2019, ICVNS.

A clustering-based decision tree induction algorithm

André Carlos Ponce de Leon Ferreira de Carvalho, Rodrigo C. Barros, Márcio P. Basgalupp, 2011, 2011 11th International Conference on Intelligent Systems Design and Applications.

Special issue SOCO 2014: Recent advancements in soft computing and its application in industrial and environmental problems

Héctor Quintián-Pardo, Álvaro Herrero, Emilio Corchado, 2018, Neurocomputing.

Genetic Clustering for Data Mining

André Carlos Ponce de Leon Ferreira de Carvalho, Ricardo J. G. B. Campello, Murilo Coelho Naldi, 2008, Soft Computing for Knowledge Discovery and Data Mining.

A Meta-Learning Approach to Select Meta-Heuristics for the Traveling Salesman Problem Using MLP-Based Label Ranking

André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares, Eduardo R. Hruschka, 2012, ICONIP.

Development of a dressing monitoring system through artificial intelligence and acoustic maps for high performance grinding

André Carlos Ponce de Leon Ferreira de Carvalho, J. F. G. Oliveira, A. P. S. Braga, 2007, Int. J. Manuf. Technol. Manag..

Adapting non-hierarchical multilabel classification methods for hierarchical multilabel classification

Alex Alves Freitas, André Carlos Ponce de Leon Ferreira de Carvalho, Ricardo Cerri, 2011, Intell. Data Anal..

Quality indices for (practical) clustering evaluation

André Carlos Ponce de Leon Ferreira de Carvalho, Margarida G. M. S. Cardoso, 2009, Intell. Data Anal..

Gene Selection based on Multi-class SVMs and Genetic Algorithms

André Carlos Ponce de Leon Ferreira de Carvalho, Bruno Feres de Souza, 2004, WOB.

A flocking-like technique to perform semi-supervised learning

André Carlos Ponce de Leon Ferreira de Carvalho, Liang Zhao, Thiago Henrique Cupertino, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Multi-objective optimization applied to systematic conservation planning and spatial conservation priorities under climate change

André Carlos Ponce de Leon Ferreira de Carvalho, Jonathan Timmis, José Alexandre Felizola Diniz-Filho, 2014, GECCO.

A genetic algorithm with gene dependent mutation probability for non-stationary optimization problems

André Carlos Ponce de Leon Ferreira de Carvalho, Renato Tinós, R. Tinós, 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).

Effectiveness of Random Search in SVM hyper-parameter tuning

Bernd Bischl, André Carlos Ponce de Leon Ferreira de Carvalho, Rafael Gomes Mantovani, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Protein Cellular Localization with Multiclass Support Vector Machines and Decision Trees

André Carlos Ponce de Leon Ferreira de Carvalho, Ana Carolina Lorena, 2005, BSB.

Multi-objective clustering ensemble for gene expression data analysis

André Carlos Ponce de Leon Ferreira de Carvalho, Marcílio Carlos Pereira de Souto, Katti Faceli, 2009, Neurocomputing.

Evaluation of Error Metrics for Meta-learning Label Definition in the Forecasting Task

André Carlos Ponce de Leon Ferreira de Carvalho, Leandro Resende Mundim, Moisés Rocha dos Santos, 2020, HAIS.

Anomaly Detection Through Temporal Abstractions on Intensive Care Data: Position Paper

André Carlos Ponce de Leon Ferreira de Carvalho, Pedro Pereira Rodrigues, Giovana Jaskulski Gelatti, 2017, 2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS).

Evolutionary design of multiclass support vector machines

André Carlos Ponce de Leon Ferreira de Carvalho, Ana Carolina Lorena, A. Carvalho, 2007, J. Intell. Fuzzy Syst..

Cluster ensemble selection based on relative validity indexes

André Carlos Ponce de Leon Ferreira de Carvalho, Ricardo J. G. B. Campello, Murilo Coelho Naldi, 2012, Data Mining and Knowledge Discovery.

A Preliminary Study on Hyperparameter Configuration for Human Activity Recognition pdf

André Carlos Ponce de Leon Ferreira de Carvalho, João M. P. Cardoso, João Mendes-Moreira, 2018, ArXiv.

Evolutionary Design of Decision-Tree Algorithms Tailored to Microarray Gene Expression Data Sets

Alex Alves Freitas, André Carlos Ponce de Leon Ferreira de Carvalho, Rodrigo C. Barros, 2014, IEEE Transactions on Evolutionary Computation.

Transmission of wireless neural signals through a 0.18µm CMOS low-power amplifier

André Carlos Ponce de Leon Ferreira de Carvalho, Murilo Pilon Pessatti, Daniel Pasti Mioni, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Noise detection in the meta-learning level

André Carlos Ponce de Leon Ferreira de Carvalho, Ana Carolina Lorena, Luís Paulo F. Garcia, 2016, Neurocomputing.

A bottom-up oblique decision tree induction algorithm

André Carlos Ponce de Leon Ferreira de Carvalho, Rodrigo C. Barros, Ricardo Cerri, 2011, 2011 11th International Conference on Intelligent Systems Design and Applications.

Using Meta-learning to Recommend Meta-heuristics for the Traveling Salesman Problem

André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares, Eduardo R. Hruschka, 2011, 2011 10th International Conference on Machine Learning and Applications and Workshops.

A new technique based on genetic algorithms for tracking of power system harmonics

André Carlos Ponce de Leon Ferreira de Carvalho, Denis V. Coury, Renata A. Macêdo, 2002, VII Brazilian Symposium on Neural Networks, 2002. SBRN 2002. Proceedings..

Editorial: Special Issue CISIS13-IGPL

Héctor Quintián-Pardo, Álvaro Herrero, Emilio Corchado, 2015, Log. J. IGPL.

Predicting execution time of machine learning tasks for scheduling

André Carlos Ponce de Leon Ferreira de Carvalho, André Luis Debiaso Rossi, Bruno Feres de Souza, 2013, Int. J. Hybrid Intell. Syst..

A Survey of Evolutionary Algorithms for Clustering

Alex Alves Freitas, André Carlos Ponce de Leon Ferreira de Carvalho, Ricardo J. G. B. Campello, 2009, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

Machine learning meets genome assembly

Annie Chateau, André Carlos Ponce de Leon Ferreira de Carvalho, João Carlos Setubal, 2018, Briefings Bioinform..

CF4CF-META: Hybrid Collaborative Filtering Algorithm Selection Framework

André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares, Tiago Cunha, 2018, DS.

Unsupervised Domain Adaptation for Human Activity Recognition

André Carlos Ponce de Leon Ferreira de Carvalho, João Mendes-Moreira, Paulo Barbosa, 2018, IDEAL.

Building binary-tree-based multiclass classifiers using separability measures

André Carlos Ponce de Leon Ferreira de Carvalho, Ana Carolina Lorena, 2010, Neurocomputing.

Data Complexity Measures for Imbalanced Classification Tasks

André Carlos Ponce de Leon Ferreira de Carvalho, Ana Carolina Lorena, Marcílio Carlos Pereira de Souto, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

A comprehensive comparison of ML algorithms for gene expression data classification

André Carlos Ponce de Leon Ferreira de Carvalho, Bruno Feres de Souza, Carlos Soares, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Investigating fitness functions for a hyper-heuristic evolutionary algorithm in the context of balanced and imbalanced data classification

André Carlos Ponce de Leon Ferreira de Carvalho, Rodrigo C. Barros, Márcio P. Basgalupp, 2014, Genetic Programming and Evolvable Machines.

Multi-Objective Clustering Ensemble

André Carlos Ponce de Leon Ferreira de Carvalho, Marcílio Carlos Pereira de Souto, Katti Faceli, 2006, 2006 Sixth International Conference on Hybrid Intelligent Systems (HIS'06).

Adaptive approaches for keystroke dynamics

André Carlos Ponce de Leon Ferreira de Carvalho, Ana Carolina Lorena, Paulo Henrique Pisani, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Potential Distribution Modelling Using Machine Learning

André Carlos Ponce de Leon Ferreira de Carvalho, Ana Carolina Lorena, Ronaldo C. Prati, 2008, IEA/AIE.

An Hybrid GA/SVM Approach for Multiclass Classification with Directed Acyclic Graphs

André Carlos Ponce de Leon Ferreira de Carvalho, Ana Carolina Lorena, A. Carvalho, 2004, SBIA.

Hierarchical Multilabel Protein Function Prediction Using Local Neural Networks

André Carlos Ponce de Leon Ferreira de Carvalho, Ricardo Cerri, A. Carvalho, 2011, BSB.

Target recognition using evolutionary neural networks

André Carlos Ponce de Leon Ferreira de Carvalho, Elson Felix Mendes Filho, 1998, Proceedings 5th Brazilian Symposium on Neural Networks (Cat. No.98EX209).

Multi-label Feature Selection Techniques for Hierarchical Multi-label Protein Function Prediction

André Carlos Ponce de Leon Ferreira de Carvalho, Rafael Gomes Mantovani, Ricardo Cerri, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Applying One-Sided Selection to Unbalanced Datasets

André Carlos Ponce de Leon Ferreira de Carvalho, Gustavo E. A. P. A. Batista, M. C. Monard, 2000, MICAI.

Investigation of a new GRASP-based clustering algorithm applied to biological data

André Carlos Ponce de Leon Ferreira de Carvalho, Mariá Cristina Vasconcelos Nascimento, Franklina Maria Bragion Toledo, 2010, Comput. Oper. Res..

A Comparison of Hierarchical Biclustering Ensemble Methods

André Carlos Ponce de Leon Ferreira de Carvalho, Victor Alexandre Padilha, A. Carvalho, 2017, 2017 Brazilian Conference on Intelligent Systems (BRACIS).

Special Issue HIS 2007

André Carlos Ponce de Leon Ferreira de Carvalho, Teresa Bernarda Ludermir, Andreas König, 2008, Int. J. Hybrid Intell. Syst..

Empirical investigation of active learning strategies

André Carlos Ponce de Leon Ferreira de Carvalho, Ricardo B. C. Prudêncio, Davi Pereira dos Santos, 2017, Neurocomputing.

Combining Meta-Learning with Multi-objective Particle Swarm Algorithms for SVM Parameter Selection: An Experimental Analysis

André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares, Ricardo B. C. Prudêncio, 2012, 2012 Brazilian Symposium on Neural Networks.

Novelty detection in data streams

André Carlos Ponce de Leon Ferreira de Carvalho, Elaine Ribeiro de Faria, João Gama, 2015, Artificial Intelligence Review.

Online adaptive decision trees based on concentration inequalities

André Carlos Ponce de Leon Ferreira de Carvalho, José del Campo-Ávila, Rafael Morales Bueno, 2016, Knowl. Based Syst..

Intelligent-guided adaptive search for the maximum covering location problem

André Carlos Ponce de Leon Ferreira de Carvalho, Mariá Cristina Vasconcelos Nascimento, Vinícius R. Máximo, 2017, Comput. Oper. Res..

Cluster-based novel concept detection in data streams applied to intrusion detection in computer networks

André Carlos Ponce de Leon Ferreira de Carvalho, João Gama, Eduardo Jaques Spinosa, 2008, SAC '08.

Improving Portfolio Optimization Using Weighted Link Prediction in Dynamic Stock Networks

André Carlos Ponce de Leon Ferreira de Carvalho, João Gama, Douglas Castilho, 2019, ICCS.

Data stream clustering: A survey

André Carlos Ponce de Leon Ferreira de Carvalho, Elaine Ribeiro de Faria, João Gama, 2013, CSUR.

The Use of Autonomous UAVs to Improve Pesticide Application in Crop Fields

André Carlos Ponce de Leon Ferreira de Carvalho, Jo Ueyama, Bruno S. Faiçal, 2016, 2016 17th IEEE International Conference on Mobile Data Management (MDM).

A grammatical evolution approach for software effort estimation

André Carlos Ponce de Leon Ferreira de Carvalho, Rodrigo C. Barros, Ricardo Cerri, 2013, GECCO '13.

Boosting meta-learning with simulated data complexity measures

André Carlos Ponce de Leon Ferreira de Carvalho, Edesio Alcobaça, Adriano Rivolli, 2020, Intell. Data Anal..

Partitions selection strategy for set of clustering solutions

André Carlos Ponce de Leon Ferreira de Carvalho, Marcílio Carlos Pereira de Souto, Katti Faceli, 2010, Neurocomputing.

A meta-learning approach for selecting image segmentation algorithm

André Carlos Ponce de Leon Ferreira de Carvalho, Sylvio Barbon Junior, Rafael Gomes Mantovani, 2019, Pattern Recognit. Lett..

Ensemble of Adaptive Algorithms for Keystroke Dynamics

André Carlos Ponce de Leon Ferreira de Carvalho, Ana Carolina Lorena, Paulo Henrique Pisani, 2015, 2015 Brazilian Conference on Intelligent Systems (BRACIS).

Evaluation Functions for the Evolutionary Design of Multiclass Support Vector Machines

André Carlos Ponce de Leon Ferreira de Carvalho, Ana Carolina Lorena, A. Carvalho, 2009, Int. J. Comput. Intell. Appl..

Effects of Random Sampling on SVM Hyper-parameter Tuning

André Carlos Ponce de Leon Ferreira de Carvalho, Rafael Gomes Mantovani, Tomás Horváth, 2016, ISDA.

Evaluation Methodology for Multiclass Novelty Detection Algorithms

André Carlos Ponce de Leon Ferreira de Carvalho, Elaine Ribeiro de Faria, João Gama, 2013, 2013 Brazilian Conference on Intelligent Systems.

Statistical versus Distance-Based Meta-Features for Clustering Algorithm recommendation Using Meta-Learning

André Carlos Ponce de Leon Ferreira de Carvalho, Bruno A. Pimentel, A. Carvalho, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

A grammatical evolution algorithm for generation of Hierarchical Multi-Label Classification rules

Alex Alves Freitas, André Carlos Ponce de Leon Ferreira de Carvalho, Rodrigo C. Barros, 2013, 2013 IEEE Congress on Evolutionary Computation.

Fine-Tuning of UAV Control Rules for Spraying Pesticides on Crop Fields: An Approach for Dynamic Environments

André Carlos Ponce de Leon Ferreira de Carvalho, Jo Ueyama, Geraldo P. R. Filho, 2016, Int. J. Artif. Intell. Tools.

Clustering using genetic algorithm combining validation criteria

André Carlos Ponce de Leon Ferreira de Carvalho, Murilo Coelho Naldi, 2007, ESANN.

A Hybrid Case Based Reasoning Approach for Wine Classification

André Carlos Ponce de Leon Ferreira de Carvalho, Alexandre C. B. Delbem, Cláudio Adriano Policastro, 2007, Seventh International Conference on Intelligent Systems Design and Applications (ISDA 2007).

Support vector machines applied to white blood cell recognition

André Carlos Ponce de Leon Ferreira de Carvalho, Ana Carolina Lorena, Daniela Mayumi Ushizima Sabino, 2005, Fifth International Conference on Hybrid Intelligent Systems (HIS'05).

Label Expansion for Multi-label Classification

André Carlos Ponce de Leon Ferreira de Carvalho, Adriano Rivolli, Carlos Soares, 2018, 2018 7th Brazilian Conference on Intelligent Systems (BRACIS).

Selection of algorithms to solve traveling salesman problems using meta-learning

André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares, Eduardo R. Hruschka, 2011, Int. J. Hybrid Intell. Syst..

A Tutorial on Multi-label Classification Techniques

Alex Alves Freitas, André Carlos Ponce de Leon Ferreira de Carvalho, A. Carvalho, 2009, Foundations of Computational Intelligence.

A Study on Hyperparameter Configuration for Human Activity Recognition

André Carlos Ponce de Leon Ferreira de Carvalho, João M. P. Cardoso, João Mendes-Moreira, 2019, SOCO.

A Hybrid Case Based Reasoning Approach for Monitoring Water Quality

André Carlos Ponce de Leon Ferreira de Carvalho, Alexandre C. B. Delbem, Cláudio Adriano Policastro, 2004, IEA/AIE.

A smartphone application to measure the quality of pest control spraying machines via image analysis

André Carlos Ponce de Leon Ferreira de Carvalho, José F. Rodrigues, Bruno Brandoli Machado, 2017, SAC.

Genetic operators setting for the operation planning of hydrothermal systems

André Carlos Ponce de Leon Ferreira de Carvalho, Adriano Alber de França Mendes Carneiro, Patricia Teixeira Leite, 2002, VII Brazilian Symposium on Neural Networks, 2002. SBRN 2002. Proceedings..

Enhanced template update: Application to keystroke dynamics

André Carlos Ponce de Leon Ferreira de Carvalho, Ana Carolina Lorena, Romain Giot, 2016, Comput. Secur..

An evolutionary sampling approach for classification with imbalanced data

André Carlos Ponce de Leon Ferreira de Carvalho, André L. V. Coelho, Everlandio R. Q. Fernandes, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

A Strategy for the Selection of Solutions of the Pareto Front Approximation in Multi-objective Clustering Approaches

André Carlos Ponce de Leon Ferreira de Carvalho, Marcílio Carlos Pereira de Souto, Katti Faceli, 2008, 2008 10th Brazilian Symposium on Neural Networks.

Ensemble Clustering for Novelty Detection in Data Streams

Charu C. Aggarwal, André Carlos Ponce de Leon Ferreira de Carvalho, Elaine Ribeiro de Faria, 2019, DS.

Combining Boolean Neural Architectures for Image Recognition

André Carlos Ponce de Leon Ferreira de Carvalho, Michael C. Fairhurst, David L. Bisset, 1997, Connect. Sci..

Data clustering based on complex network community detection

André Carlos Ponce de Leon Ferreira de Carvalho, Liang Zhao, Katti Faceli, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

Um Tutorial sobre Algoritmos Genéticos

André Carlos Ponce de Leon Ferreira de Carvalho, Teresa Bernarda Ludermir, Estefane G. M. de Lacerda, 2002, RITA.

Classification of Ophthalmologic Images Using an Ensemble of Classifiers

André Carlos Ponce de Leon Ferreira de Carvalho, Giampaolo L. Libralao, Osvaldo C. P. Almeida, 2005, IEA/AIE.

Artificial Neural Networks Designed as Components

André Carlos Ponce de Leon Ferreira de Carvalho, Ernesto Cuadros-Vargas, Humberto Costa de Sousa, 2002, JIISIC.

Transfer Learning for Algorithm Recommendation pdf

André Carlos Ponce de Leon Ferreira de Carvalho, Edesio Alcobaça, Rafael Gomes Mantovani, 2019, ArXiv.

The influence of noisy patterns on the performance of learning methods in the splice junction recognition problem

André Carlos Ponce de Leon Ferreira de Carvalho, Ana Carolina Lorena, Gustavo E. A. P. A. Batista, 2002, VII Brazilian Symposium on Neural Networks, 2002. SBRN 2002. Proceedings..

Fast adaptive stacking of ensembles

André Carlos Ponce de Leon Ferreira de Carvalho, Isvani Inocencio Frías Blanco, Agustín Alejandro Ortiz Díaz, 2016, SAC.

A Cluster-Based Prototype Reduction for Online Classification

André Carlos Ponce de Leon Ferreira de Carvalho, João Mendes-Moreira, Kemilly Dearo Garcia, 2018, IDEAL.

An online adaptive classifier ensemble for mining non-stationary data streams

André Carlos Ponce de Leon Ferreira de Carvalho, Isvani Inocencio Frías Blanco, Alberto Verdecia-Cabrera, 2018, Intell. Data Anal..

A Study of the Influence of Rule Measures in Classifiers Induced by Evolutionary Algorithms

André Carlos Ponce de Leon Ferreira de Carvalho, Gustavo E. A. P. A. Batista, Claudia Regina Milaré, 2010, IEEE Intell. Informatics Bull..

Using a multi-objective artificial immune system approach for biodiversity conservation

André Carlos Ponce de Leon Ferreira de Carvalho, José Alexandre Felizola Diniz-Filho, Maria Emilia Telles Walter, 2017, 2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD).

CF4CF: recommending collaborative filtering algorithms using collaborative filtering

André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares, Tiago Cunha, 2018, RecSys.

Special Issue Soco13-jal

Héctor Quintián-Pardo, Juan M. Corchado, Ivan Zelinka, 2016, J. Appl. Log..

RaBeCa: a hybrid case-based reasoning development environment

André Carlos Ponce de Leon Ferreira de Carvalho, Sandra M. Aluísio, Ricardo Barz Sovat, 2001, Proceedings 13th IEEE International Conference on Tools with Artificial Intelligence. ICTAI 2001.

Algorithm Selection for Collaborative Filtering: the influence of graph metafeatures and multicriteria metatargets pdf

André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares, Tiago Cunha, 2018, ArXiv.

Metalearning for Gene Expression Data Classification

André Carlos Ponce de Leon Ferreira de Carvalho, Bruno Feres de Souza, Carlos Soares, 2008, 2008 Eighth International Conference on Hybrid Intelligent Systems.

Automatic Case Adaptation with a Hybrid Committee Approach

André Carlos Ponce de Leon Ferreira de Carvalho, Alexandre C. B. Delbem, Cláudio Adriano Policastro, 2004, MICAI.

Food Truck Recommendation Using Multi-label Classification

André Carlos Ponce de Leon Ferreira de Carvalho, Adriano Rivolli, Larissa C. Parker, 2017, EPIA.

A genetic algorithm based approach to track voltage and current harmonics in electrical power systems

André Carlos Ponce de Leon Ferreira de Carvalho, Denis V. Coury, Renata A. Macêdo, 2002, J. Intell. Fuzzy Syst..

Tree Decomposition of Multiclass Problems

André Carlos Ponce de Leon Ferreira de Carvalho, Ana Carolina Lorena, A. Carvalho, 2008, 2008 10th Brazilian Symposium on Neural Networks.

Multiclass SVM Model Selection Using Particle Swarm Optimization

André Carlos Ponce de Leon Ferreira de Carvalho, Bruno Feres de Souza, Renato Porfirio Ishii, 2006, 2006 Sixth International Conference on Hybrid Intelligent Systems (HIS'06).

Introduction By Guest Editors: Non-Gradient Learning Techniques

André Carlos Ponce de Leon Ferreira de Carvalho, Stefan C. Kremer, 2001, Int. J. Neural Syst..

Adaptive algorithms applied to accelerometer biometrics in a data stream context

André Carlos Ponce de Leon Ferreira de Carvalho, Ana Carolina Lorena, Paulo Henrique Pisani, 2017, Intell. Data Anal..

Spectral methods for graph clustering - A survey

André Carlos Ponce de Leon Ferreira de Carvalho, Mariá Cristina Vasconcelos Nascimento, A. Carvalho, 2011, Eur. J. Oper. Res..

Empirical Evaluation of Ranking Prediction Methods for Gene Expression Data Classification

André Carlos Ponce de Leon Ferreira de Carvalho, Bruno Feres de Souza, Carlos Soares, 2010, IBERAMIA.

A hybrid heuristic for the k-medoids clustering problem

André Carlos Ponce de Leon Ferreira de Carvalho, Mariá Cristina Vasconcelos Nascimento, Franklina Maria Bragion Toledo, 2012, GECCO '12.

Ensembles of label noise filters: a ranking approach

Stan Matwin, André Carlos Ponce de Leon Ferreira de Carvalho, Ana Carolina Lorena, 2016, Data Mining and Knowledge Discovery.

Minimum Spanning Trees in Hierarchical Multiclass Support Vector Machines Generation

André Carlos Ponce de Leon Ferreira de Carvalho, Ana Carolina Lorena, 2005, IEA/AIE.

An Experimental Study of the Combination of Meta-Learning with Particle Swarm Algorithms for SVM Parameter Selection

André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares, Ricardo B. C. Prudêncio, 2012, ICCSA.

Evolutionary inversion of class distribution in overlapping areas for multi-class imbalanced learning

André Carlos Ponce de Leon Ferreira de Carvalho, Everlandio R. Q. Fernandes, A. Carvalho, 2019, Inf. Sci..

Applying Adaptive Logic Networks to character recognition

André Carlos Ponce de Leon Ferreira de Carvalho, Michael C. Fairhurst, 1998, Pattern Recognit. Lett..

Using Genetic Algorithms to Improve Prediction of Execution Times of ML Tasks

André Carlos Ponce de Leon Ferreira de Carvalho, André Luis Debiaso Rossi, Bruno Feres de Souza, 2012, HAIS.

cf2vec: Collaborative Filtering algorithm selection using graph distributed representations pdf

André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares, Tiago Cunha, 2018, ArXiv.

Multi-agent Systems and Machine Learning Facilitating Genome Annotation

André Carlos Ponce de Leon Ferreira de Carvalho, Ana L. C. Bazzan, 2005, RITA.

Combining One-Class Classifiers for Robust Novelty Detection in Gene Expression Data

André Carlos Ponce de Leon Ferreira de Carvalho, Eduardo Jaques Spinosa, A. Carvalho, 2005, BSB.

Probabilistic Clustering for Hierarchical Multi-Label Classification of Protein Functions

Alex Alves Freitas, André Carlos Ponce de Leon Ferreira de Carvalho, Rodrigo C. Barros, 2013, ECML/PKDD.

Pursuing the Best ECOC Dimension for Multiclass Problems

André Carlos Ponce de Leon Ferreira de Carvalho, João Gama, Edgar Pimenta, 2007, FLAIRS Conference.

Comparison of Active Learning Strategies and Proposal of a Multiclass Hypothesis Space Search

André Carlos Ponce de Leon Ferreira de Carvalho, Davi Pereira dos Santos, A. Carvalho, 2014, HAIS.

A Machine Learning-Based Approach for Prediction of Plant Protection Product Deposition

André Carlos Ponce de Leon Ferreira de Carvalho, Pedro Henrique Gomes, Bruno S. Faiçal, 2017, 2017 Brazilian Conference on Intelligent Systems (BRACIS).

Estratégias para a Combinação de Classificadores Binários em Soluções Multiclasses

André Carlos Ponce de Leon Ferreira de Carvalho, Ana Carolina Lorena, A. C. P. L. F. D. Carvalho, 2008, RITA.

Comparing machine learning classifiers in potential distribution modelling

André Carlos Ponce de Leon Ferreira de Carvalho, Ana Carolina Lorena, Renato De Giovanni, 2011, Expert Syst. Appl..

New top-down methods using SVMs for Hierarchical Multilabel Classification problems

André Carlos Ponce de Leon Ferreira de Carvalho, Ricardo Cerri, A. Carvalho, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Neural Networks for Hierarchical Classification of G-Protein Coupled Receptors

André Carlos Ponce de Leon Ferreira de Carvalho, Rodrigo C. Barros, Ricardo Cerri, 2013, 2013 Brazilian Conference on Intelligent Systems.

An Approach to Explain Neural Networks using Symbolic Algorithms

André Carlos Ponce de Leon Ferreira de Carvalho, Maria Carolina Monard, Claudia Regina Milaré, 2002, Int. J. Comput. Intell. Appl..

Extracting Knowledge from Artificial Neural Networks: An Empirical Comparison of Trepan and Symbolic Learning Algorithms

André Carlos Ponce de Leon Ferreira de Carvalho, M. C. Monard, Maria Carolina Monard, 2002, MICAI.

Automatic Target Recognition using a Constructive Approach

André Carlos Ponce de Leon Ferreira de Carvalho, Ernesto Cuadros-Vargas, Humberto Costa de Sousa, 1998, SBRN.

A new data characterization for selecting clustering algorithms using meta-learning

André Carlos Ponce de Leon Ferreira de Carvalho, Bruno A. Pimentel, A. Carvalho, 2019, Inf. Sci..

Hybrid intelligent algorithms and applications

Emilio Corchado, André Carlos Ponce de Leon Ferreira de Carvalho, Ajith Abraham, 2010, Inf. Sci..

A Projection Pursuit framework for supervised dimension reduction of high dimensional small sample datasets

Soledad Espezua, Edwin Villanueva, Carlos Dias Maciel, 2015, Neurocomputing.

Meta-learning Recommendation of Default Hyper-parameter Values for SVMs in Classification Tasks

André Carlos Ponce de Leon Ferreira de Carvalho, Rafael Gomes Mantovani, André Luis Debiaso Rossi, 2015, MetaSel@PKDD/ECML.

Meta-learning to select the best meta-heuristic for the Traveling Salesman Problem: A comparison of meta-features

André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares, Pavel Brazdil, 2016, Neurocomputing.

Knowledge Extraction: A Comparison between Symbolic and Connectionist Methods

André Carlos Ponce de Leon Ferreira de Carvalho, Antônio de Pádua Braga, Teresa Bernarda Ludermir, 1999, Int. J. Neural Syst..

Selecting Collaborative Filtering Algorithms Using Metalearning

André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares, Tiago Cunha, 2016, ECML/PKDD.

Recent trends in intelligent data analysis

Emilio Corchado, André Carlos Ponce de Leon Ferreira de Carvalho, Václav Snásel, 2014, Neurocomputing.

Combining Intelligent Techniques for Sensor Fusion

André Carlos Ponce de Leon Ferreira de Carvalho, Solange Oliveira Rezende, Katti Faceli, 2004, Applied Intelligence.

2CS: Correlation-Guided Split Candidate Selection in Hoeffding Tree Regressors

André Carlos Ponce de Leon Ferreira de Carvalho, Saulo Martiello Mastelini, 2020, BRACIS.

DropLeaf: a precision farming smartphone application for measuring pesticide spraying methods

Sihem Amer-Yahia, André Carlos Ponce de Leon Ferreira de Carvalho, José F. Rodrigues, 2020, Comput. Electron. Agric..

An integrated Boolean neural network for pattern classification

André Carlos Ponce de Leon Ferreira de Carvalho, Michael C. Fairhurst, David L. Bisset, 1994, Pattern Recognit. Lett..

Enhancing multilabel classification for food truck recommendation

André Carlos Ponce de Leon Ferreira de Carvalho, Adriano Rivolli, Carlos Soares, 2018, Expert Syst. J. Knowl. Eng..

Fraud Detection Using Explainable Machine Learning Algorithms

André Carlos Ponce de Leon Ferreira de Carvalho, Luciano C. M. Andrade, 2019, MLDM.

Combining Meta-learning and Search Techniques to SVM Parameter Selection

André Carlos Ponce de Leon Ferreira de Carvalho, André Luis Debiaso Rossi, Carlos Soares, 2010, 2010 Eleventh Brazilian Symposium on Neural Networks.

Comparing Several Approaches for Hierarchical Classification of Proteins with Decision Trees

Alex Alves Freitas, André Carlos Ponce de Leon Ferreira de Carvalho, Ana Carolina Lorena, 2007, BSB.

A new approach for multi-label classification based on default hierarchies and organizational learning

Xavier Llorà, David E. Goldberg, André Carlos Ponce de Leon Ferreira de Carvalho, 2008, GECCO '08.

Adaptive Algorithms in Accelerometer Biometrics

André Carlos Ponce de Leon Ferreira de Carvalho, Ana Carolina Lorena, Paulo Henrique Pisani, 2014, 2014 Brazilian Conference on Intelligent Systems.

Automatic Design of Decision-Tree Algorithms with Evolutionary Algorithms

Alex Alves Freitas, André Carlos Ponce de Leon Ferreira de Carvalho, Rodrigo C. Barros, 2013, Evolutionary Computation.

Splice Junction Recognition using Machine Learning Techniques

André Carlos Ponce de Leon Ferreira de Carvalho, Ana Carolina Lorena, Gustavo E. A. P. A. Batista, 2002, WOB.

Computational Intelligence Applied to the Automatic Monitoring of Dressing Operations in an Industrial CNC Machine

André Carlos Ponce de Leon Ferreira de Carvalho, João Fernando Gomes de Oliveira, Arthur Plinio Souza de Braga, 2008, Advances of Computational Intelligence in Industrial Systems.

Filter Feature Selection for One-Class Classification

André Carlos Ponce de Leon Ferreira de Carvalho, Ana Carolina Lorena, Luiz Henrique Nogueira Lorena, 2014, Journal of Intelligent & Robotic Systems.

A hybrid approach to learn with imbalanced classes using evolutionary algorithms

André Carlos Ponce de Leon Ferreira de Carvalho, Gustavo E. A. P. A. Batista, Claudia Regina Milaré, 2011, Log. J. IGPL.

Rethinking Default Values: a Low Cost and Efficient Strategy to Define Hyperparameters pdf

André Carlos Ponce de Leon Ferreira de Carvalho, Sylvio Barbon Junior, Edesio Alcobaça, 2020, ArXiv.

Explainable Machine Learning for Breast Cancer Diagnosis

André Carlos Ponce de Leon Ferreira de Carvalho, Iury Batista de Andrade Santos, Moisés Rocha dos Santos, 2019, 2019 8th Brazilian Conference on Intelligent Systems (BRACIS).

OLINDDA: a cluster-based approach for detecting novelty and concept drift in data streams

André Carlos Ponce de Leon Ferreira de Carvalho, João Gama, Eduardo Jaques Spinosa, 2007, SAC '07.

Pattern recognition using constructive algorithms

André Carlos Ponce de Leon Ferreira de Carvalho, Humberto Costa de Sousa, 1999, IJCNN.

Human Splice Site Identification with Multiclass Support Vector Machines and Bagging

André Carlos Ponce de Leon Ferreira de Carvalho, Ana Carolina Lorena, A. Carvalho, 2003, ICANN.

Qualitative data clustering: a new Integer Linear Programming model

André Carlos Ponce de Leon Ferreira de Carvalho, Luiz Antonio Nogueira Lorena, Luiz Henrique Nogueira Lorena, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Model selection via Genetic Algorithms for RBF networks

André Carlos Ponce de Leon Ferreira de Carvalho, Teresa Bernarda Ludermir, Estefane G. M. de Lacerda, 2002, J. Intell. Fuzzy Syst..

A graph clustering algorithm based on a clustering coefficient for weighted graphs

André Carlos Ponce de Leon Ferreira de Carvalho, Mariá Cristina Vasconcelos Nascimento, A. Carvalho, 2011, Journal of the Brazilian Computer Society.

Hybrid Genetic Algorithm Applied to the Determination of the Optimal Operation of Hydrothermal Systems

André Carlos Ponce de Leon Ferreira de Carvalho, Adriano A. F. M. Carneiro, Patricia Texeira Leite, 2006, 2006 Ninth Brazilian Symposium on Neural Networks (SBRN'06).

Selectively Inhibiting Learning Bias for Active Sampling

André Carlos Ponce de Leon Ferreira de Carvalho, Davi Pereira dos Santos, 2015, 2015 Brazilian Conference on Intelligent Systems (BRACIS).

Node-Depth Encoding for Evolutionary Algorithms Applied to Network Design

André Carlos Ponce de Leon Ferreira de Carvalho, Alexandre C. B. Delbem, Cláudio Adriano Policastro, 2004, GECCO.

Applying Genetic and Symbolic Learning Algorithms to Extract Rules from Artificial Neural Networks

André Carlos Ponce de Leon Ferreira de Carvalho, Gustavo E. A. P. A. Batista, M. C. Monard, 2004, MICAI.

Exploiting Evolution on UAV Control Rules for Spraying Pesticides on Crop Fields

André Carlos Ponce de Leon Ferreira de Carvalho, Jo Ueyama, Geraldo P. R. Filho, 2014, EANN.

Preprocessing Technique for Cluster Editing via Integer Linear Programming

André Carlos Ponce de Leon Ferreira de Carvalho, Luiz Antonio Nogueira Lorena, Luiz Henrique Nogueira Lorena, 2018, ICIC.

Applying genetic algorithms and support vector machines to the gene selection problem

André Carlos Ponce de Leon Ferreira de Carvalho, Bruno Feres de Souza, Waldo Cancino Ticona, 2007, J. Intell. Fuzzy Syst..

Using Multi-Objective Artificial Immune Systems to Find Core Collections Based on Molecular Markers

André Carlos Ponce de Leon Ferreira de Carvalho, Jonathan Timmis, José Alexandre Felizola Diniz-Filho, 2015, GECCO.

E. Coli Promoter Gene Sequence and Human Splice Site Identification with Explanation by Extracting Rules from Trained Artificial Neural Networks

André Carlos Ponce de Leon Ferreira de Carvalho, Claudia Regina Milaré, Rodrigo Bianchi, 2003, WOB.

Hybrid classification algorithms based on boosting and support vector machines

André Carlos Ponce de Leon Ferreira de Carvalho, Antônio de Pádua Braga, Thiago Turchetti Maia, 2008, Kybernetes.

Evaluation of neural classifiers using statistic methods for identification of laryngeal pathologies

André Carlos Ponce de Leon Ferreira de Carvalho, Marcelo de Oliveira Rosa, Jose Carlos Pereira, 1998, Proceedings 5th Brazilian Symposium on Neural Networks (Cat. No.98EX209).

Novelty detection algorithm for data streams multi-class problems

André Carlos Ponce de Leon Ferreira de Carvalho, Elaine Ribeiro de Faria, João Gama, 2013, SAC '13.

Adaptive Biometric Systems

André Carlos Ponce de Leon Ferreira de Carvalho, Christophe Rosenberger, Norman Poh, 2019, ACM Comput. Surv..

Reconstructing commuters network using machine learning and urban indicators

André Carlos Ponce de Leon Ferreira de Carvalho, José F. Rodrigues, Gabriel Spadon, 2019, Scientific Reports.

Unsupervised density-based behavior change detection in data streams

André Carlos Ponce de Leon Ferreira de Carvalho, João Gama, Rodrigo Fernandes de Mello, 2014, Intell. Data Anal..

A framework for bottom-up induction of oblique decision trees

André Carlos Ponce de Leon Ferreira de Carvalho, Rodrigo C. Barros, Ricardo Cerri, 2014, Neurocomputing.

Gene Selection Using Genetic Algorithms

André Carlos Ponce de Leon Ferreira de Carvalho, Bruno Feres de Souza, 2004, ISBMDA.

Hierarchical Bottom-Up Safe Semi-Supervised Support Vector Machines for Multi-Class Transductive Learning

André Carlos Ponce de Leon Ferreira de Carvalho, Rodrigo C. Barros, Eduardo R. Hruschka, 2013, J. Inf. Data Manag..

Online behavior change detection in computer games

André Carlos Ponce de Leon Ferreira de Carvalho, Rodrigo Fernandes de Mello, Jose Augusto Andrade Filho, 2013, Expert Syst. Appl..

Lexicographic multi-objective evolutionary induction of decision trees

Alex Alves Freitas, André Carlos Ponce de Leon Ferreira de Carvalho, Rodrigo C. Barros, 2009, Int. J. Bio Inspired Comput..

Combining Mutation and Gene Network Data in a Machine Learning Approach for False-Positive Cancer Driver Gene Discovery

André Carlos Ponce de Leon Ferreira de Carvalho, Adenilso da Silva Simão, Jorge Francisco Cutigi, 2020, BSB.

Noisy Data Set Identification

André Carlos Ponce de Leon Ferreira de Carvalho, Ana Carolina Lorena, Luís Paulo F. Garcia, 2013, HAIS.

Bioinspired Parameter Tuning of MLP Networks for Gene Expression Analysis: Quality of Fitness Estimates vs. Number of Solutions Analysed

André Carlos Ponce de Leon Ferreira de Carvalho, André Luis Debiaso Rossi, Carlos Soares, 2008, ICONIP.

Efficiency issues of evolutionary k-means

André Carlos Ponce de Leon Ferreira de Carvalho, Ricardo J. G. B. Campello, Murilo Coelho Naldi, 2011, Appl. Soft Comput..

Credit Card Users' Data Mining

André Carlos Ponce de Leon Ferreira de Carvalho, Antônio de Pádua Braga, Teresa Bernarda Ludermir, 2005, Encyclopedia of Information Science and Technology.

Evaluation of Multiclass Novelty Detection Algorithms for Data Streams

André Carlos Ponce de Leon Ferreira de Carvalho, Elaine Ribeiro de Faria, João Gama, 2015, IEEE Transactions on Knowledge and Data Engineering.

Bio-Inspired Parameter Tunning of MLP Networks for Gene Expression Analysis

André Carlos Ponce de Leon Ferreira de Carvalho, André Luis Debiaso Rossi, Carlos Soares, 2008, 2008 Eighth International Conference on Hybrid Intelligent Systems.

SVMs for novel class detection in Bioinformatics

André Carlos Ponce de Leon Ferreira de Carvalho, Eduardo Jaques Spinosa, 2004, WOB.

Hierarchical Multilabel Classification Using Top-Down Label Combination and Artificial Neural Networks

André Carlos Ponce de Leon Ferreira de Carvalho, Ricardo Cerri, A. Carvalho, 2010, 2010 Eleventh Brazilian Symposium on Neural Networks.

A hyper-heuristic evolutionary algorithm for automatically designing decision-tree algorithms

Alex Alves Freitas, André Carlos Ponce de Leon Ferreira de Carvalho, Rodrigo C. Barros, 2012, GECCO '12.

A genetic algorithm approach to optimize the operation planning of hydrothermal system scheduling

André Carlos Ponce de Leon Ferreira de Carvalho, Adriano A. F. M. Carneiro, Patricia Texeira Leite, 1998, Proceedings 5th Brazilian Symposium on Neural Networks (Cat. No.98EX209).

Adaptive Biometric Systems using Ensembles

André Carlos Ponce de Leon Ferreira de Carvalho, Ana Carolina Lorena, Paulo Henrique Pisani, 2018, IEEE Intelligent Systems.

MINAS: multiclass learning algorithm for novelty detection in data streams

André Carlos Ponce de Leon Ferreira de Carvalho, Elaine Ribeiro de Faria, João Gama, 2016, Data Mining and Knowledge Discovery.

A study of cross-validation and bootstrap as objective functions for genetic algorithms

André Carlos Ponce de Leon Ferreira de Carvalho, Teresa Bernarda Ludermir, Estefane G. M. de Lacerda, 2002, VII Brazilian Symposium on Neural Networks, 2002. SBRN 2002. Proceedings..

Combining meta-learning and search techniques to select parameters for support vector machines

André Carlos Ponce de Leon Ferreira de Carvalho, André Luis Debiaso Rossi, Carlos Soares, 2012, Neurocomputing.

Evolutionary tuning of SVM parameter values in multiclass problems

André Carlos Ponce de Leon Ferreira de Carvalho, Ana Carolina Lorena, A. Carvalho, 2008, Neurocomputing.

Improving the offline clustering stage of data stream algorithms in scenarios with variable number of clusters

André Carlos Ponce de Leon Ferreira de Carvalho, Elaine Ribeiro de Faria, João Gama, 2012, SAC '12.

An Extensive Evaluation of Decision Tree–Based Hierarchical Multilabel Classification Methods and Performance Measures

Alex Alves Freitas, André Carlos Ponce de Leon Ferreira de Carvalho, Gisele L. Pappa, 2015, Comput. Intell..

S^2FS : Single Score Feature Selection Applied to the Problem of Distinguishing Long Non-coding RNAs from Protein Coding Transcripts

Célia Ghedini Ralha, André Carlos Ponce de Leon Ferreira de Carvalho, Maria Emilia Telles Walter, 2018, BSB.

Mobile sensing and social computing

Javier Bajo, Juan M. Corchado, André Carlos Ponce de Leon Ferreira de Carvalho, 2016, Int. J. Distributed Sens. Networks.

A Study of Biclustering Coherence Measures for Gene Expression Data

André Carlos Ponce de Leon Ferreira de Carvalho, Victor Alexandre Padilha, A. Carvalho, 2018, 2018 7th Brazilian Conference on Intelligent Systems (BRACIS).

A Survey of Evolutionary Algorithms for Decision-Tree Induction

Alex Alves Freitas, André Carlos Ponce de Leon Ferreira de Carvalho, Rodrigo C. Barros, 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

Evolutionary optimization of RBF networks

André Carlos Ponce de Leon Ferreira de Carvalho, Teresa Bernarda Ludermir, Estefane G. M. de Lacerda, 2000, Proceedings. Vol.1. Sixth Brazilian Symposium on Neural Networks.

Multiclass SVM Design and Parameter Selection with Genetic Algorithms

André Carlos Ponce de Leon Ferreira de Carvalho, Ana Carolina Lorena, A. Carvalho, 2006, 2006 Ninth Brazilian Symposium on Neural Networks (SBRN'06).

Simulating Complexity Measures on Imbalanced Datasets

André Carlos Ponce de Leon Ferreira de Carvalho, Luís Paulo F. Garcia, Victor H. Barella, 2020, BRACIS.

The Brazilian Symposium on Neural Networks (SBRN'04)

André Carlos Ponce de Leon Ferreira de Carvalho, Aluizio F. R. Araújo, 2006, Neurocomputing.

A review on the combination of binary classifiers in multiclass problems

André Carlos Ponce de Leon Ferreira de Carvalho, João Gama, Ana Carolina Lorena, 2008, Artificial Intelligence Review.

A genetic algorithm for Hierarchical Multi-Label Classification

André Carlos Ponce de Leon Ferreira de Carvalho, Rodrigo C. Barros, Ricardo Cerri, 2012, SAC '12.

Phylogenetic Reconstruction from Evolutionary Algorithm using Edge-Set Representation

André Carlos Ponce de Leon Ferreira de Carvalho, Alexandre C. B. Delbem, Karen Honda, 2004, WOB.

Uma Revisão Sobre Combinação de Agrupamentos

André Carlos Ponce de Leon Ferreira de Carvalho, Murilo Coelho Naldi, Katti Faceli, 2010, RITA.

Special issue HAIS 2014: Recent advancements in hybrid artificial intelligence systems and its application to real-world problems

Héctor Quintián-Pardo, Marios M. Polycarpou, André Carlos Ponce de Leon Ferreira de Carvalho, 2019, Neurocomputing.

Automatic learning of pre-miRNAs from different species

Alexander Schliep, André Carlos Ponce de Leon Ferreira de Carvalho, Ivani de Oliveira Negrão Lopes, 2015, BMC Bioinformatics.

Aprendizado de Máquina Aplicado ao Estudo de Marcadores Moleculares para Produção de Carne Bovina

André Carlos Ponce de Leon Ferreira de Carvalho, Ana Carolina Lorena, Silvia H. M. G. da Silva, 2002, WOB.

Hyper-Parameter Tuning of a Decision Tree Induction Algorithm

André Carlos Ponce de Leon Ferreira de Carvalho, Rafael Gomes Mantovani, Joaquin Vanschoren, 2016, 2016 5th Brazilian Conference on Intelligent Systems (BRACIS).

Evolving decision trees with beam search-based initialization and lexicographic multi-objective evaluation

Alex Alves Freitas, André Carlos Ponce de Leon Ferreira de Carvalho, Rodrigo C. Barros, 2014, Inf. Sci..

Recent advancements in hybrid artificial intelligence systems and its application to real-world problems

Héctor Quintián-Pardo, Sung-Bae Cho, André Carlos Ponce de Leon Ferreira de Carvalho, 2016, Neurocomputing.

Gradient Boosting Machine and LSTM Network for Online Harassment Detection and Categorization in Social Media

André Carlos Ponce de Leon Ferreira de Carvalho, Thiago Andrade, Fabíola S. F. Pereira, 2019, PKDD/ECML Workshops.

Using the One-vs-One decomposition to improve the performance of class noise filters via an aggregation strategy in multi-class classification problems

Francisco Herrera, André Carlos Ponce de Leon Ferreira de Carvalho, Ana Carolina Lorena, 2015, Knowl. Based Syst..

The multi-label OCS with a genetic algorithm for rule discovery: implementation and first results

David E. Goldberg, André Carlos Ponce de Leon Ferreira de Carvalho, Thyago S. P. C. Duque, 2009, GECCO '09.

Bio-inspired Optimization Techniques for SVM Parameter Tuning

André Carlos Ponce de Leon Ferreira de Carvalho, André Luis Debiaso Rossi, Luis Debiaso, 2008, 2008 10th Brazilian Symposium on Neural Networks.

Hierarchical classification of Gene Ontology-based protein functions with neural networks

André Carlos Ponce de Leon Ferreira de Carvalho, Rodrigo C. Barros, Ricardo Cerri, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Deep learning for biological image classification

André Carlos Ponce de Leon Ferreira de Carvalho, André Luis Debiaso Rossi, Fábio Henrique Antunes Vieira, 2017, Expert Syst. Appl..

Automatic Selection of Learning Bias for Active Sampling

André Carlos Ponce de Leon Ferreira de Carvalho, Davi Pereira dos Santos, A. Carvalho, 2016, 2016 5th Brazilian Conference on Intelligent Systems (BRACIS).

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

André Carlos Ponce de Leon Ferreira de Carvalho, Paulo Mazzoncini de Azevedo Marques, Ricardo José Ferrari, 2011, RITA.

A Density-Based Clustering Approach for Behavior Change Detection in Data Streams

André Carlos Ponce de Leon Ferreira de Carvalho, João Gama, Jose Augusto Andrade Filho, 2012, 2012 Brazilian Symposium on Neural Networks.

Endowing a Content-Based Medical Image Retrieval System with Perceptual Similarity Using Ensemble Strategy

André Carlos Ponce de Leon Ferreira de Carvalho, Caetano Traina, Marcos Vinicius Naves Bedo, 2016, Journal of Digital Imaging.

Evaluation of the Contents of Partitions Obtained with Clustering Gene Expression Data

André Carlos Ponce de Leon Ferreira de Carvalho, Marcílio Carlos Pereira de Souto, Katti Faceli, 2005, BSB.

Evolving relational hierarchical classification rules for predicting gene ontology-based protein functions

Alex Alves Freitas, André Carlos Ponce de Leon Ferreira de Carvalho, Rodrigo C. Barros, 2014, GECCO.

Evolutionary design of MLP neural network architectures

André Carlos Ponce de Leon Ferreira de Carvalho, Elson Felix Mendes Filho, A. Carvalho, 1997, Proceedings 4th Brazilian Symposium on Neural Networks.

Online Multi-target regression trees with stacked leaf models pdf

André Carlos Ponce de Leon Ferreira de Carvalho, Saulo Martiello Mastelini, Sylvio Barbon, 2019, ArXiv.

Hybrid Approaches for Case Retrieval and Adaptation

André Carlos Ponce de Leon Ferreira de Carvalho, Alexandre C. B. Delbem, Cláudio Adriano Policastro, 2003, KI.

Comparing Techniques for Multiclass Classification Using Binary SVM Predictors

André Carlos Ponce de Leon Ferreira de Carvalho, Ana Carolina Lorena, A. Carvalho, 2004, MICAI.

Top-Down Hierarchical Ensembles of Classifiers for Predicting G-Protein-Coupled-Receptor Functions

Alex Alves Freitas, André Carlos Ponce de Leon Ferreira de Carvalho, Ana Carolina Lorena, 2008, BSB.

Software effort prediction: a hyper-heuristic decision-tree based approach

André Carlos Ponce de Leon Ferreira de Carvalho, Rodrigo C. Barros, Márcio P. Basgalupp, 2013, SAC '13.

Metalearning and Recommender Systems: A literature review and empirical study on the algorithm selection problem for Collaborative Filtering

André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares, Tiago Cunha, 2018, Inf. Sci..

Fine-Tuning of UAV Control Rules for Spraying Pesticides on Crop Fields

André Carlos Ponce de Leon Ferreira de Carvalho, Jo Ueyama, Geraldo P. R. Filho, 2014, 2014 IEEE 26th International Conference on Tools with Artificial Intelligence.

Special issue SOCO12

Héctor Quintián-Pardo, José Luís Calvo-Rolle, Ivan Zelinka, 2015, J. Appl. Log..

Evolutionary Optimization of RBF Networks

André Carlos Ponce de Leon Ferreira de Carvalho, Teresa Bernarda Ludermir, Estefane G. M. de Lacerda, 2001, Int. J. Neural Syst..

Multi-objective optimization and Meta-learning for SVM parameter selection

André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares, Ricardo B. C. Prudêncio, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Towards the automatic design of decision tree induction algorithms

Alex Alves Freitas, André Carlos Ponce de Leon Ferreira de Carvalho, Rodrigo C. Barros, 2011, GECCO.

Using Meta-learning to Classify Traveling Salesman Problems

André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares, Eduardo R. Hruschka, 2010, 2010 Eleventh Brazilian Symposium on Neural Networks.

Data Stream Mining Algorithms for Building Decision Models in a Computer Role-Playing Game Simulation

André Carlos Ponce de Leon Ferreira de Carvalho, João Gama, Rosane Maria Maffei Vallim, 2010, 2010 Brazilian Symposium on Games and Digital Entertainment.

Metalearning for Context-aware Filtering: Selection of Tensor Factorization Algorithms

André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares, Tiago Cunha, 2017, RecSys.

Recommending Collaborative Filtering Algorithms Using Subsampling Landmarkers

André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares, Tiago Cunha, 2017, DS.

Score normalization applied to adaptive biometric systems

André Carlos Ponce de Leon Ferreira de Carvalho, Norman Poh, Ana Carolina Lorena, 2017, Comput. Secur..

Editorial: Special issue HAIS12-IGPL

Héctor Quintián-Pardo, Sung-Bae Cho, André Carlos Ponce de Leon Ferreira de Carvalho, 2015, Log. J. IGPL.

Reduction strategies for hierarchical multi-label classification in protein function prediction

André Carlos Ponce de Leon Ferreira de Carvalho, Rodrigo C. Barros, Yaochu Jin, 2016, BMC Bioinformatics.

Special issue HAIS 2012: Recent advancements in hybrid artificial intelligence systems and its application to real-world problems

Héctor Quintián-Pardo, Sung-Bae Cho, André Carlos Ponce de Leon Ferreira de Carvalho, 2015, Neurocomputing.

A dynamical model with adaptive pixel moving for microarray images segmentation

André Carlos Ponce de Leon Ferreira de Carvalho, Liang Zhao, Antonio P. G. Damiance, 2004, Real Time Imaging.

Evolutionary Fuzzy Clustering: An Overview and Efficiency Issues

André Carlos Ponce de Leon Ferreira de Carvalho, Ricardo J. G. B. Campello, Murilo Coelho Naldi, 2009, Foundations of Computational Intelligence.

Automatic knowledge learning and case adaptation with a hybrid committee approach

André Carlos Ponce de Leon Ferreira de Carvalho, Alexandre C. B. Delbem, Cláudio Adriano Policastro, 2006, J. Appl. Log..

Evolutionary Radial Basis Functions for Credit Assessment

André Carlos Ponce de Leon Ferreira de Carvalho, Antônio de Pádua Braga, Teresa Bernarda Ludermir, 2005, Applied Intelligence.

A hybrid meta-learning architecture for multi-objective optimization of SVM parameters

André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares, Ricardo B. C. Prudêncio, 2014, Neurocomputing.

Towards Reproducible Empirical Research in Meta-Learning pdf

André Carlos Ponce de Leon Ferreira de Carvalho, Adriano Rivolli, Joaquin Vanschoren, 2018, ArXiv.

Ensembles of Pre-processing Techniques for Noise Detection in Gene Expression Data

André Carlos Ponce de Leon Ferreira de Carvalho, Ana Carolina Lorena, Giampaolo L. Libralon, 2008, ICONIP.

Clustering Search Applied to Rank Aggregation

André Carlos Ponce de Leon Ferreira de Carvalho, Luiz Antonio Nogueira Lorena, Ana Carolina Lorena, 2014, 2014 Brazilian Conference on Intelligent Systems.

Making Data Stream Classification Tree-Based Ensembles Lighter

André Carlos Ponce de Leon Ferreira de Carvalho, Sylvio Barbon Junior, Saulo Martiello Mastelini, 2018, 2018 7th Brazilian Conference on Intelligent Systems (BRACIS).

A meta-learning recommender system for hyperparameter tuning: predicting when tuning improves SVM classifiers

André Carlos Ponce de Leon Ferreira de Carvalho, Edesio Alcobaça, Rafael Gomes Mantovani, 2019, Inf. Sci..

Multi-Objective Clustering Ensemble with Prior Knowledge

André Carlos Ponce de Leon Ferreira de Carvalho, Marcílio Carlos Pereira de Souto, Katti Faceli, 2007, BSB.

Automatic design of decision-tree induction algorithms tailored to flexible-receptor docking data

André Carlos Ponce de Leon Ferreira de Carvalho, Rodrigo C. Barros, Osmar Norberto de Souza, 2012, BMC Bioinformatics.

Effect of label noise in the complexity of classification problems

André Carlos Ponce de Leon Ferreira de Carvalho, Ana Carolina Lorena, Luís Paulo F. Garcia, 2015, Neurocomputing.

Combining RBF Networks Trained by Different Clustering Techniques

André Carlos Ponce de Leon Ferreira de Carvalho, M. M. Brizzotti, A. Carvalho, 2001, Neural Processing Letters.

Process Scheduling Using Ant Colony Optimization Techniques

Laurence T. Yang, André Carlos Ponce de Leon Ferreira de Carvalho, Rodrigo Fernandes de Mello, 2006, ISPA.

Hierarchical multi-label classification using local neural networks

André Carlos Ponce de Leon Ferreira de Carvalho, Rodrigo C. Barros, Ricardo Cerri, 2014, J. Comput. Syst. Sci..

Brazilian Symposium on Neural Networks (SBRN2006)

André Carlos Ponce de Leon Ferreira de Carvalho, Anne M. P. Canuto, Marcílio Carlos Pereira de Souto, 2008, Neurocomputing.

A label ranking approach for selecting rankings of collaborative filtering algorithms

André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares, Tiago Cunha, 2018, SAC.

A network of globally coupled chaotic maps for adaptive multi-resolution image segmentation

André Carlos Ponce de Leon Ferreira de Carvalho, Liang Zhao, Rogerio A. Furukawa, 2002, VII Brazilian Symposium on Neural Networks, 2002. SBRN 2002. Proceedings..

A Study of the Correlation of Metafeatures Used for Metalearning

André Carlos Ponce de Leon Ferreira de Carvalho, Adriano Rivolli, Ana Carolina Lorena, 2021, IWANN.

Seasonal-Trend decomposition based on Loess + Machine Learning: Hybrid Forecasting for Monthly Univariate Time Series

André Carlos Ponce de Leon Ferreira de Carvalho, Gabriel Dalforno Silvestre, Moisés Rocha dos Santos, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Using meta-learning for multi-target regression

André Carlos Ponce de Leon Ferreira de Carvalho, Sylvio Barbon Junior, Gabriel Jonas Aguiar, 2021, Inf. Sci..

An ensemble of autonomous auto-encoders for human activity recognition

André Carlos Ponce de Leon Ferreira de Carvalho, Mannes Poel, Joost N. Kok, 2021, Neurocomputing.