Eduardo R. Hruschka

Proceedings of the ISEEIE 2021: International Symposium on Electrical, Electronics and Information Engineering, Seoul Republic of Korea, February 19, 2021

2019

Combining clustering and active learning for the detection and learning of new image classes.

[BibT_eX]

[DOI]

Neurocomputing, 2019

Decomposing time series into deterministic and stochastic influences: A survey.

[BibT_eX]

[DOI]

Felipe S. L. G. Duarte

Ricardo Araújo Rios

Rodrigo Fernandes de Mello

Digit. Signal Process., 2019

2018

Online Orthogonal Regression Based on a Regularized Squared Loss.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

Classification with Multi-Modal Classes Using Evolutionary Algorithms and Constrained Clustering.

[BibT_eX]

[DOI]

Felipe Simoes Lage Gomes Duarte

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Time Series Decomposition Using Spring System Applied on Phase Spaces.

[BibT_eX]

[DOI]

Ricardo Araújo Rios

Rodrigo Fernandes de Mello

Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

2017

An evolutionary algorithm for clustering data streams with a variable number of clusters.

[BibT_eX]

[DOI]

João Gama

Expert Syst. Appl., 2017

2016

A Support System for Clustering Data Streams with a Variable Number of Clusters.

[BibT_eX]

[DOI]

Nádia Félix Felipe da Silva

ACM Trans. Auton. Adapt. Syst., 2016

Using unsupervised information to improve semi-supervised tweet sentiment classification.

[BibT_eX]

[DOI]

Inf. Sci., 2016

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

[BibT_eX]

[DOI]

André C. P. L. F. de Carvalho

Pavel Brazdil

Neurocomputing, 2016

Evolving Gaussian Mixture Models with Splitting and Merging Mutation Operators.

[BibT_eX]

[DOI]

Nádia Félix Felipe da Silva

Evol. Comput., 2016

A Survey and Comparative Study of Tweet Sentiment Analysis via Semi-Supervised Learning.

[BibT_eX]

[DOI]

ACM Comput. Surv., 2016

2015

Interactive textual feature selection for consensus clustering.

[BibT_eX]

[DOI]

Geraldo N. Correa

Ricardo M. Marcacini

André Luiz Vizine Pereira

Solange Oliveira Rezende

Pattern Recognit. Lett., 2015

Simultaneous co-clustering and learning to address the cold start problem in recommender systems.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2015

A differential evolution algorithm to optimise the combination of classifier and cluster ensembles.

[BibT_eX]

[DOI]

Ayan Acharya

Int. J. Bio Inspired Comput., 2015

Using metaheuristics to optimize the combination of classifier and cluster ensembles.

[BibT_eX]

[DOI]

Integr. Comput. Aided Eng., 2015

2014

An Optimization Framework for Combining Ensembles of Classifiers and Clusterers with Applications to Nontransductive Semisupervised Learning and Transfer Learning.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2014

Tweet sentiment analysis with classifier ensembles.

[BibT_eX]

[DOI]

Nádia Félix F. da Silva

Decis. Support Syst., 2014

Biocom_Usp: Tweet Sentiment Analysis with Adaptive Boosting Ensemble.

[BibT_eX]

[DOI]

Nádia Félix F. da Silva

Ricardo Marcondes Marcacini

Proceedings of the 8th International Workshop on Semantic Evaluation, 2014

Privileged Information for Hierarchical Document Clustering: A Metric Learning Approach.

[BibT_eX]

[DOI]

Marcos Aurélio Domingues

Luiz Fernando Sommaggio Coletta

Solange Oliveira Rezende

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Combining Classification and Clustering for Tweet Sentiment Analysis.

[BibT_eX]

[DOI]

Nádia Félix F. da Silva

Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014

2013

Competitive Learning With Pairwise Constraints.

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[DOI]

Luís Filipe da Cruz Nassif

IEEE Trans. Neural Networks Learn. Syst., 2013

Document Clustering for Forensic Analysis: An Approach for Improving Computer Inspection.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2013

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

[BibT_eX]

[DOI]

J. Inf. Data Manag., 2013

A study of K-Means-based algorithms for constrained clustering.

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[DOI]

Intell. Data Anal., 2013

An experimental study on the use of nearest neighbor-based imputation algorithms for classification tasks.

[BibT_eX]

[DOI]

Data Knowl. Eng., 2013

Data stream clustering: A survey.

[BibT_eX]

[DOI]

Elaine R. Faria

Rodrigo C. Barros

João Gama

ACM Comput. Surv., 2013

Probabilistic Combination of Classifier and Cluster Ensembles for Non-transductive Learning.

[BibT_eX]

[DOI]

Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Using Both Latent and Supervised Shared Topics for Multitask Learning.

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[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Unsupervised learning of Gaussian Mixture Models: Evolutionary Create and Eliminate for Expectation Maximization algorithm.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012

Collaborative Fuzzy Clustering Algorithms: Some Refinements and Design Guidelines.

[BibT_eX]

[DOI]

Witold Pedrycz

IEEE Trans. Fuzzy Syst., 2012

Transfer Learning with Cluster Ensembles.

[BibT_eX]

[DOI]

Proceedings of the Unsupervised and Transfer Learning, 2012

An Optimization Framework for Semi-Supervised and Transfer Learning using Multiple Classifiers and Clusterers

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[DOI]

CoRR, 2012

A Semi-supervised Approach to Estimate the Number of Clusters per Class.

[BibT_eX]

[DOI]

Davidson M. Sestaro

Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012

On the Use of Consensus Clustering for Incremental Learning of Topic Hierarchies.

[BibT_eX]

[DOI]

Ricardo M. Marcacini

Solange O. Rezende

Proceedings of the Advances in Artificial Intelligence - SBIA 2012, 2012

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

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 19th International Conference, 2012

2011

A Bayesian imputation method for a clustering genetic algorithm.

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[DOI]

J. Comput. Methods Sci. Eng., 2011

Towards improving cluster-based feature selection with a simplified silhouette filter.

[BibT_eX]

[DOI]

Inf. Sci., 2011

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

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[DOI]

Edimilson Batista dos Santos

Int. J. Hybrid Intell. Syst., 2011

Bayesian network classifiers: Beyond classification accuracy.

[BibT_eX]

[DOI]

Intell. Data Anal., 2011

Efficiency issues of evolutionary k-means.

[BibT_eX]

[DOI]

Murilo Coelho Naldi

André C. P. L. F. de Carvalho

Appl. Soft Comput., 2011

A Privacy-Aware Bayesian Approach for Combining Classifier and Cluster Ensembles.

[BibT_eX]

[DOI]

Ayan Acharya

Proceedings of the PASSAT/SocialCom 2011, Privacy, 2011

C 3E: A Framework for Combining Ensembles of Classifiers and Clusterers.

[BibT_eX]

[DOI]

Proceedings of the Multiple Classifier Systems - 10th International Workshop, 2011

Extending k-Means-Based Algorithms for Evolving Data Streams with Variable Number of Clusters.

[BibT_eX]

[DOI]

Luís Filipe da Cruz Nassif

Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

Document Clustering for Forensic Computing: An Approach for Improving Computer Inspection.

[BibT_eX]

[DOI]

Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

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

[BibT_eX]

[DOI]

Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

Splitting and Merging Gaussian Mixture Model Components: An Evolutionary Approach.

[BibT_eX]

[DOI]

Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

Distributed Fuzzy Clustering with Automatic Detection of the Number of Clusters.

[BibT_eX]

[DOI]

Proceedings of the International Symposium on Distributed Computing and Artificial Intelligence, 2011

2010

Relative clustering validity criteria: A comparative overview.

[BibT_eX]

[DOI]

Stat. Anal. Data Min., 2010

Using Meta-learning to Classify Traveling Salesman Problems.

[BibT_eX]

[DOI]

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

A Comparative Study on the Use of Correlation Coefficients for Redundant Feature Elimination.

[BibT_eX]

[DOI]

Pablo A. Jaskowiak

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

Fuzzy Clustering-Based Filter.

[BibT_eX]

[DOI]

Edimilson Batista dos Santos

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Methods, 2010

A Distance-Based Mutation Operator for learning Bayesian Network structures using Evolutionary Algorithms.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009

Evolutionary Fuzzy Clustering: An Overview and Efficiency Issues.

[BibT_eX]

[DOI]

Danilo Horta

Murilo Coelho Naldi

Proceedings of the Foundations of Computational Intelligence, 2009

A Survey of Evolutionary Algorithms for Clustering.

[BibT_eX]

[DOI]

Alex Alves Freitas

IEEE Trans. Syst. Man Cybern. Part C, 2009

On the influence of imputation in classification: practical issues.

[BibT_eX]

[DOI]

Antonio J. T. Garcia

J. Exp. Theor. Artif. Intell., 2009

On comparing two sequences of numbers and its applications to clustering analysis.

[BibT_eX]

[DOI]

Inf. Sci., 2009

On the efficiency of evolutionary fuzzy clustering.

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[DOI]

Vinicius S. Alves

J. Heuristics, 2009

On the Comparison of Relative Clustering Validity Criteria.

[BibT_eX]

[DOI]

Proceedings of the SIAM International Conference on Data Mining, 2009

EACImpute: An Evolutionary Algorithm for Clustering-Based Imputation.

[BibT_eX]

[DOI]

Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

An Experimental Study on Unsupervised Clustering-Based Feature Selection Methods.

[BibT_eX]

[DOI]

Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

An Evolutionary Algorithm for Missing Values Substitution in Classification Tasks.

[BibT_eX]

[DOI]

Proceedings of the Hybrid Artificial Intelligence Systems, 4th International Conference, 2009

A Cluster-Based Feature Selection Approach.

[BibT_eX]

[DOI]

Átila M. Santos

Proceedings of the Hybrid Artificial Intelligence Systems, 4th International Conference, 2009

2008

Genetic Clustering for Data Mining.

[BibT_eX]

[DOI]

Murilo Coelho Naldi

Proceedings of the Soft Computing for Knowledge Discovery and Data Mining, 2008

A Robust Methodology for Comparing Performances of Clustering Validity Criteria.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence, 2008

2007

Exploiting idle cycles to execute data mining applications on clusters of PCs.

[BibT_eX]

[DOI]

Hermes Senger

Calebe De Paula Bianchini

Liria Matsumoto Sato

Bruno F. Jerosch

J. Syst. Softw., 2007

Bayesian networks for imputation in classification problems.

[BibT_eX]

[DOI]

J. Intell. Inf. Syst., 2007

A Fuzzy Variant of an Evolutionary Algorithm for Clustering.

[BibT_eX]

[DOI]

Vinicius S. Alves

Proceedings of the FUZZ-IEEE 2007, 2007

2006

Bayesian Feature Selection for Clustering Problems.

[BibT_eX]

[DOI]

J. Inf. Knowl. Manag., 2006

Evolving clusters in gene-expression data.

[BibT_eX]

[DOI]

Inf. Sci., 2006

Extracting rules from multilayer perceptrons in classification problems: A clustering-based approach.

[BibT_eX]

[DOI]

Neurocomputing, 2006

A fuzzy extension of the silhouette width criterion for cluster analysis.

[BibT_eX]

[DOI]

Fuzzy Sets Syst., 2006

Towards a Fast Evolutionary Algorithm for Clustering.

[BibT_eX]

[DOI]

Vinicius S. Alves

Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005

Towards Improving Clustering Ants: An Adaptive Ant Clustering Algorithm.

[BibT_eX]

[DOI]

André L. Vizine

Ricardo R. Gudwin

Informatica (Slovenia), 2005

Applying Bayesian Networks for Meteorological Data Mining.

[BibT_eX]

[DOI]

Proceedings of the Applications and Innovations in Intelligent Systems XIII, 2005

Missing Values Imputation for a Clustering Genetic Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Advances in Natural Computation, First International Conference, 2005

Feature Selection for Clustering Problems: a Hybrid Algorithm that Iterates Between k-means and a Bayesian Filter.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Hybrid Intelligent Systems (HIS 2005), 2005

Naive Bayes as an Imputation Tool for Classification Problems.

[BibT_eX]

[DOI]

Antonio J. T. Garcia

Proceedings of the 5th International Conference on Hybrid Intelligent Systems (HIS 2005), 2005

Feature Selection for Cluster Analysis: an Approach Based on the Simplified Silhouette Criterion.

[BibT_eX]

[DOI]

Proceedings of the 2005 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2005), 2005

2004

Inhambu: Data Mining Using Idle Cycles in Clusters of PCs.

[BibT_eX]

[DOI]

Hermes Senger

Calebe De Paula Bianchini

Liria Matsumoto Sato

Marcelo D. Esperidiãao

Proceedings of the Network and Parallel Computing, IFIP International Conference, 2004

TermitAnt: An Ant Clustering Algorithm Improved by Ideas from Termite Colonies.

[BibT_eX]

[DOI]

Vahid Sherafat

Proceedings of the Neural Information Processing, 11th International Conference, 2004

Evolutionary Algorithms for Clustering Gene-Expression Data.

[BibT_eX]

[DOI]

Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

Running Data Mining Applications on the Grid: A Bag-of-Tasks Approach.

[BibT_eX]

[DOI]

Sílvia Carvalho

Hermes Senger

Cléver Ricardo Guareis de Farias

Proceedings of the Computational Science and Its Applications, 2004

Improving the Efficiency of a Clustering Genetic Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence, 2004

Evolutionary search for optimal fuzzy c-means clustering.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

A Scheduling Algorithm for Running Bag-of-Tasks Data Mining Applications on the Grid.

[BibT_eX]

[DOI]

Sílvia Carvalho

Proceedings of the Euro-Par 2004 Parallel Processing, 2004

Towards Efficient Imputation by Nearest-Neighbors: A Clustering-Based Approach.

[BibT_eX]

[DOI]

Proceedings of the AI 2004: Advances in Artificial Intelligence, 2004

Feature Selection by Bayesian Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence, 2004

2003

A genetic algorithm for cluster analysis.

[BibT_eX]

[DOI]

Intell. Data Anal., 2003

A Feature Selection Bayesian Approach for Extracting Classification Rules with a Clustering Genetic Algorithm.

[BibT_eX]

[DOI]

Appl. Artif. Intell., 2003

A Nearest-Neighbor Method as a Data Preparation Tool for a Clustering Genetic Algorithm.

[BibT_eX]

Proceedings of the XVIII Simpósio Brasileiro de Bancos de Dados, 2003

Evaluating a Nearest-Neighbor Method to Substitute Continuous Missing Values.

[BibT_eX]

[DOI]

Proceedings of the AI 2003: Advances in Artificial Intelligence, 2003

2002

A Data Preparation Bayesian Approach for a Clustering Genetic Algorithm.

[BibT_eX]

Proceedings of the Soft Computing Systems - Design, Management and Applications, 2002

2000

A clustering algorithm for extracting rules from supervised neural network models in data mining tasks.

[BibT_eX]

[DOI]

Int. J. Comput. Syst. Signals, 2000

Applying a Clustering Genetic Algorithm for Extracting Rules from a Supervised Neural Network.

[BibT_eX]

[DOI]

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

1999

Rule extraction from neural networks: modified RX algorithm.

[BibT_eX]

[DOI]