Marcílio Carlos Pereira de Souto

Anaïs Halftermeyer

Neurocomputing, 2023

Complexity-Driven Sampling for Bagging.

[BibT_eX]

[DOI]

Carmen Lancho

Isaac Martín de Diego

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2023, 2023

2022

An analysis of the admissibility of the objective functions applied in evolutionary multi-objective clustering.

[BibT_eX]

[DOI]

Inf. Sci., 2022

Anchored Constrained Clustering Ensemble.

[BibT_eX]

[DOI]

Mathieu Guilbert

Christel Vrain

Thi-Bich-Hanh Dao

Proceedings of the International Joint Conference on Neural Networks, 2022

Towards Explainable Deep Learning for Image Captioning through Representation Space Perturbation.

[BibT_eX]

[DOI]

Sofiane Elguendouze

Anaïs Lefeuvre-Halftermeyer

Adel Hafiane

Proceedings of the International Joint Conference on Neural Networks, 2022

Detecting Nested Structures Through Evolutionary Multi-objective Clustering.

[BibT_eX]

[DOI]

Proceedings of the Applications of Evolutionary Computation - 25th European Conference, 2022

2021

Assessing the data complexity of imbalanced datasets.

[BibT_eX]

[DOI]

Victor H. Barella

André C. P. L. F. de Carvalho

Inf. Sci., 2021

A Survey of Evolutionary Multi-Objective Clustering Approaches.

[BibT_eX]

[DOI]

CoRR, 2021

Automatic recovering the number <i>k</i> of clusters in the data by active query selection.

[BibT_eX]

[DOI]

Hério Sousa

Reginaldo Massanobu Kuroshu

Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

Multi-objective Clustering: A Data-Driven Analysis of MOCLE, MOCK and Δ-MOCK.

[BibT_eX]

[DOI]

Adriano Kultzak

Luiz Henrique dos Santos Fernandes

Proceedings of the Neural Information Processing - 28th International Conference, 2021

Evaluating Data Characterization Measures for Clustering Problems in Meta-learning.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 28th International Conference, 2021

2020

Hybrid strategy for selecting compact set of clustering partitions.

[BibT_eX]

[DOI]

Vanessa Antunes

Appl. Soft Comput., 2020

2019

How Complex Is Your Classification Problem?: A Survey on Measuring Classification Complexity.

[BibT_eX]

[DOI]

Jens Lehmann

Tin Kam Ho

ACM Comput. Surv., 2019

2018

Data Complexity Measures for Imbalanced Classification Tasks.

[BibT_eX]

[DOI]

Victor H. Barella

André C. P. L. F. de Carvalho

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Classifier Recommendation Using Data Complexity Measures.

[BibT_eX]

[DOI]

Tin Kam Ho

Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017

Interpreting multivariate membership degrees of fuzzy clustering methods: A strategy.

[BibT_eX]

[DOI]

Bruno A. Pimentel

Renata M. C. R. de Souza

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2015

Impact of missing data imputation methods on gene expression clustering and classification.

[BibT_eX]

[DOI]

Pablo A. Jaskowiak

BMC Bioinform., 2015

Impact of Base Partitions on Multi-objective and Traditional Ensemble Clustering Algorithms.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 22nd International Conference, 2015

On Measuring the Complexity of Classification Problems.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 22nd International Conference, 2015

2014

Issues on sampling negative examples for predicting prokaryotic promoters.

[BibT_eX]

[DOI]

Eduardo G. Gusmão

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

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

[BibT_eX]

[DOI]

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013

Guest Editorial for Special Section on BSB 2012.

[BibT_eX]

[DOI]

Maricel G. Kann

IEEE ACM Trans. Comput. Biol. Bioinform., 2013

2012

Automatic parameters selection in machine learning.

[BibT_eX]

[DOI]

Marley M. B. R. Vellasco

Neurocomputing, 2012

Analysis of complexity indices for classification problems: Cancer gene expression data.

[BibT_eX]

[DOI]

Newton Spolaôr

Neurocomputing, 2012

A Comparison of External Clustering Evaluation Indices in the Context of Imbalanced Data Sets.

[BibT_eX]

[DOI]

Ricardo Bastos Cavalcante Prudêncio

Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012

2011

Selecting Machine Learning Algorithms Using the Ranking Meta-Learning Approach.

[BibT_eX]

[DOI]

Proceedings of the Meta-Learning in Computational Intelligence, 2011

A tool to implement probabilistic automata in RAM-based neural networks.

[BibT_eX]

[DOI]

José Carlos Martins Oliveira

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010

Special issue for the SBRN Guest Editorial.

[BibT_eX]

[DOI]

Marley M. B. R. Vellasco

Neurocomputing, 2010

Partitions selection strategy for set of clustering solutions.

[BibT_eX]

[DOI]

Neurocomputing, 2010

Improvements in the Partitions Selection Strategy for Set of Clustering Solutions.

[BibT_eX]

[DOI]

Proceedings of the 11th Brazilian Symposium on Neural Networks (SBRN 2010), 2010

On the Complexity of Gene Marker Selection.

[BibT_eX]

[DOI]

Newton Spolaôr

Proceedings of the 11th Brazilian Symposium on Neural Networks (SBRN 2010), 2010

Complexity measures of supervised classifications tasks: A case study for cancer gene expression data.

[BibT_eX]

[DOI]

Newton Spolaôr

Ivan Gesteira Costa

Proceedings of the International Joint Conference on Neural Networks, 2010

2009

Multi-objective clustering ensemble for gene expression data analysis.

[BibT_eX]

[DOI]

Neurocomputing, 2009

On a hybrid weightless neural system.

[BibT_eX]

[DOI]

Int. J. Bio Inspired Comput., 2009

Using Supervised Complexity Measures in the Analysis of Cancer Gene Expression Data Sets.

[BibT_eX]

[DOI]

Liciana R. M. P. y Peres

Proceedings of the Advances in Bioinformatics and Computational Biology, 2009

Use of multi-objective genetic algorithms to investigate the diversity/accuracy dilemma in heterogeneous ensembles.

[BibT_eX]

[DOI]

Ricardo Bastos Cavalcante Prudêncio

Proceedings of the International Joint Conference on Neural Networks, 2009

Mining Rules for the Automatic Selection Process of Clustering Methods Applied to Cancer Gene Expression Data.

[BibT_eX]

[DOI]

André C. A. Nascimento

Proceedings of the Artificial Neural Networks, 2009

The diversity/accuracy dilemma: An empirical analysis in the context of heterogeneous ensembles.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008

Brazilian Symposium on Neural Networks (SBRN2006).

[BibT_eX]

[DOI]

Neurocomputing, 2008

Clustering cancer gene expression data: a comparative study.

[BibT_eX]

[DOI]

BMC Bioinform., 2008

Weightless Neural Networks: Knowledge-Based Inference System.

[BibT_eX]

[DOI]

Proceedings of the 10th Brazilian Symposium on Neural Networks (SBRN 2008), 2008

A Strategyfor the Selection of Solutions of the Pareto Front Approximation in Multi-objective Clustering Approaches.

[BibT_eX]

[DOI]

Proceedings of the 10th Brazilian Symposium on Neural Networks (SBRN 2008), 2008

Empirical comparison of Dynamic Classifier Selection methods based on diversity and accuracy for building ensembles.

[BibT_eX]

[DOI]

Alixandre Santana

Proceedings of the International Joint Conference on Neural Networks, 2008

Ranking and selecting clustering algorithms using a meta-learning approach.

[BibT_eX]

[DOI]

Ricardo Bastos Cavalcante Prudêncio

Proceedings of the International Joint Conference on Neural Networks, 2008

Comparative study on normalization procedures for cluster analysis of gene expression datasets.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2008

A Class-Based Feature Selection Method for Ensemble Systems.

[BibT_eX]

[DOI]

Karliane M. O. Vale

Filipe G. Dias

Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

On the Complexity of Gene Expression Classification Data Sets.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

2007

Multi-objective clustering ensemble.

[BibT_eX]

[DOI]

Int. J. Hybrid Intell. Syst., 2007

Multi-Objective Clustering Ensemble with Prior Knowledge.

[BibT_eX]

[DOI]

Proceedings of the Advances in Bioinformatics and Computational Biology, 2007

Validating Gene Clusterings by Selecting Informative Gene Ontology Terms with Mutual Information.

[BibT_eX]

[DOI]

Proceedings of the Advances in Bioinformatics and Computational Biology, 2007

Using an Evolutionary Agent-Based System for Classification Tasks.

[BibT_eX]

[DOI]

Laura Emmanuella A. Santana

Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007

A Comparative Analysis of Feature Selection Methods for Ensembles with Different Combination Methods.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2007

Investigating the Use of an Evolutionary Agent-based System for Classification Tasks.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2007

Particle Detection on Election Microscopy Micrographs Using Multi-Classifier Systems.

[BibT_eX]

[DOI]

Lucas M. Oliveira

Raul Benites Paradeda

Bruno M. Carvalho

Proceedings of the 7th International Conference on Hybrid Intelligent Systems, 2007

2006

A Dynamic Classifier Selection Method to Build Ensembles using Accuracy and Diversity.

[BibT_eX]

[DOI]

Alixandre Santana

Proceedings of the SBRN 2006, 2006

Cluster Ensemble for Gene Expression Microarray Data: Accuracy and Diversity.

[BibT_eX]

[DOI]

Bruno L. C. da Silva

Proceedings of the International Joint Conference on Neural Networks, 2006

Using Accuracy and Diversity to Select Classifiers to Build Ensembles.

[BibT_eX]

[DOI]

Alixandre Santana

Proceedings of the International Joint Conference on Neural Networks, 2006

In silico prediction of promoter sequences of Bacillus species.

[BibT_eX]

[DOI]

Kelly P. da Silva

Meika I. Monteiro

Proceedings of the International Joint Conference on Neural Networks, 2006

An Empirical Analysis of Under-Sampling Techniques to Balance a Protein Structural Class Dataset.

[BibT_eX]

[DOI]

José Alfredo Ferreira Costa

Valnaide G. Bittencourt

Proceedings of the Neural Information Processing, 13th International Conference, 2006

Using Weighted Combination-Based Methods in Ensembles with Different Levels of Diversity.

[BibT_eX]

[DOI]

Thiago Dutra

Proceedings of the Neural Information Processing, 13th International Conference, 2006

Extracting Symbolic Rules from Clustering of Gene Expression Data.

[BibT_eX]

[DOI]

Welbson S. Costa

Mateus S. de Assis

Proceedings of the 6th International Conference on Hybrid Intelligent Systems (HIS 2006), 2006

2005

Equivalence between RAM-based neural networks and probabilistic automata.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2005

Machine Learning Techniques for Predicting Bacillus subtilis Promoters.

[BibT_eX]

[DOI]

Meika I. Monteiro

Luiz M. G. Gonçalves

Lucymara F. Agnez-Lima

Proceedings of the Advances in Bioinformatics and Computational Biology, 2005

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

[BibT_eX]

[DOI]

Proceedings of the Advances in Bioinformatics and Computational Biology, 2005

Neural Network Use for the Identification of Factors Related to Common Mental Disorders.

[BibT_eX]

[DOI]

C. R. S. Lopes

A. B. Ludermir

Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005

Individual Clustering and Homogeneous Cluster Ensemble Approaches Applied to Gene Expression Data.

[BibT_eX]

[DOI]

Shirlly C. M. Silva

Valmar S. Severiano-Sobrinho

Raul Benites Paradeda

Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005

2003

Introduction by Guest Editors.

[BibT_eX]

[DOI]

Int. J. Neural Syst., 2003

2002

Turing's analysis of computation and artificial neural networks.

[BibT_eX]

[DOI]

J. Intell. Fuzzy Syst., 2002

The VIIth Brazilian Symposium on Neural Networks (SBRN'02).

[BibT_eX]

[DOI]

J. Intell. Fuzzy Syst., 2002

Comparative study on proximity indices for cluster analysis of gene expression time series.

[BibT_eX]

[DOI]

Francisco de A. T. de Carvalho

J. Intell. Fuzzy Syst., 2002

Stability Evaluation of Clustering Algorithms for Time Series Gene Expression Data.

[BibT_eX]

Francisco de A. T. de Carvalho

Proceedings of the I Brazilian Workshop on Bioinformatics, 2002

Global Optimization Methods for Designing and Training Neural Networks.

[BibT_eX]

[DOI]

Akio Yamazaki

José Carlos Martins Oliveira

Proceedings of the 7th Brazilian Symposium on Neural Networks (SBRN 2002), 2002

Implementation of Probabilistic Automata in Weightless Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 7th Brazilian Symposium on Neural Networks (SBRN 2002), 2002

Turing Machines with Finite Memory.

[BibT_eX]

[DOI]

Proceedings of the 7th Brazilian Symposium on Neural Networks (SBRN 2002), 2002

Neural Networks for the analysis of Common Mental Disorders Factors.

[BibT_eX]

[DOI]

C. R. S. Lopes

A. B. Ludermir

Proceedings of the 7th Brazilian Symposium on Neural Networks (SBRN 2002), 2002

A Symbolic Approach to Gene Expression Time Series Analysis.

[BibT_eX]

[DOI]

Francisco de A. T. de Carvalho

Proceedings of the 7th Brazilian Symposium on Neural Networks (SBRN 2002), 2002

2000

Encoding of Probabilistic Automata into RAM-Based Neural Networks.

[BibT_eX]

[DOI]

Marcília A. Campos

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999

Computability and learnability in sequential weightless neural networks.

[BibT_eX]

[DOI]

PhD thesis, 1999

Sequential RAM-based Neural Networks: Learnability, Generalisation, Knowledge Extraction, and Grammatical Inference.

[BibT_eX]

[DOI]

Paulo J. L. Adeodato

Int. J. Neural Syst., 1999

1998

Learnability in Sequential RAM-based Neural Networks.

[BibT_eX]

[DOI]