Eduardo R. Hruschka

92 papers A* 1A 2B 10C 7Misc 3Journal 39Unranked 28
YearRankTypeTitle / Venue / Authors
2019 J jnl
Combining clustering and active learning for the detection and learning of new image classes.
Neurocomputing
Luiz F. S. Coletta, Moacir Ponti, Eduardo R. Hruschka, Ayan Acharya, Joydeep Ghosh
2019 J jnl
Decomposing time series into deterministic and stochastic influences: A survey.
Digit. Signal Process.
Felipe S. L. G. Duarte, Ricardo Araújo Rios, Eduardo R. Hruschka, Rodrigo Fernandes de Mello
2018 B conf
Classification with Multi-Modal Classes Using Evolutionary Algorithms and Constrained Clustering.
CEC
Thiago F. Covoes, Eduardo R. Hruschka
2018 C conf
Online Orthogonal Regression Based on a Regularized Squared Loss.
ICMLA
Roberto Souza, Saul C. Leite, Wagner Meira Jr., Eduardo R. Hruschka
2016 J jnl
A Survey and Comparative Study of Tweet Sentiment Analysis via Semi-Supervised Learning.
ACM Comput. Surv.
Nádia Félix Felipe da Silva, Luiz F. S. Coletta, Eduardo R. Hruschka
2016 J jnl
Meta-learning to select the best meta-heuristic for the Traveling Salesman Problem: A comparison of meta-features.
Neurocomputing
Jorge Y. Kanda, André C. P. L. F. de Carvalho, Eduardo R. Hruschka, Carlos Soares, Pavel Brazdil
2016 J jnl
Using unsupervised information to improve semi-supervised tweet sentiment classification.
Inf. Sci.
Nádia Félix Felipe da Silva, Luiz F. S. Coletta, Eduardo R. Hruschka, Estevam R. Hruschka Jr.
2015 J jnl
Interactive textual feature selection for consensus clustering.
Pattern Recognit. Lett.
Geraldo N. Correa, Ricardo M. Marcacini, Eduardo R. Hruschka, Solange Oliveira Rezende
2015 J jnl
Using metaheuristics to optimize the combination of classifier and cluster ensembles.
Integr. Comput. Aided Eng.
Luiz F. S. Coletta, Eduardo R. Hruschka, Ayan Acharya, Joydeep Ghosh
2014 J jnl
An Optimization Framework for Combining Ensembles of Classifiers and Clusterers with Applications to Nontransductive Semisupervised Learning and Transfer Learning.
ACM Trans. Knowl. Discov. Data
Ayan Acharya, Eduardo R. Hruschka, Joydeep Ghosh, Sreangsu Acharyya
2014 — conf
Biocom_Usp: Tweet Sentiment Analysis with Adaptive Boosting Ensemble.
SemEval@COLING
Nádia Félix F. da Silva, Estevam R. Hruschka Jr., Eduardo R. Hruschka
2014 — conf
Combining Classification and Clustering for Tweet Sentiment Analysis.
BRACIS
Luiz Fernando Sommaggio Coletta, Nádia Félix F. da Silva, Eduardo R. Hruschka, Estevam R. Hruschka Jr.
2014 B conf
Privileged Information for Hierarchical Document Clustering: A Metric Learning Approach.
ICPR
Ricardo Marcondes Marcacini, Marcos Aurélio Domingues, Eduardo R. Hruschka, Solange Oliveira Rezende
2014 J jnl
Tweet sentiment analysis with classifier ensembles.
Decis. Support Syst.
Nádia Félix F. da Silva, Eduardo R. Hruschka, Estevam R. Hruschka Jr.
2013 J jnl
A study of K-Means-based algorithms for constrained clustering.
Intell. Data Anal.
Thiago F. Covoes, Eduardo R. Hruschka, Joydeep Ghosh
2013 J jnl
An experimental study on the use of nearest neighbor-based imputation algorithms for classification tasks.
Data Knowl. Eng.
Jonathan de Andrade Silva, Eduardo R. Hruschka
2013 J jnl
Competitive Learning With Pairwise Constraints.
IEEE Trans. Neural Networks Learn. Syst.
Thiago F. Covoes, Eduardo R. Hruschka, Joydeep Ghosh
2013 J jnl
Data stream clustering: A survey.
ACM Comput. Surv.
Jonathan de Andrade Silva, Elaine R. Faria, Rodrigo C. Barros, Eduardo R. Hruschka, André Carlos Ponce de Leon Ferreira de Carvalho, João Gama
2013 J jnl
Document Clustering for Forensic Analysis: An Approach for Improving Computer Inspection.
IEEE Trans. Inf. Forensics Secur.
Luís Filipe da Cruz Nassif, Eduardo R. Hruschka
2013 J jnl
Hierarchical Bottom-Up Safe Semi-Supervised Support Vector Machines for Multi-Class Transductive Learning.
J. Inf. Data Manag.
Thiago F. Covoes, Rodrigo C. Barros, Tiago Silva da Silva, Eduardo R. Hruschka, André Carlos Ponce de Leon Ferreira de Carvalho
2013 A conf
Probabilistic Combination of Classifier and Cluster Ensembles for Non-transductive Learning.
SDM
Ayan Acharya, Joydeep Ghosh, Eduardo R. Hruschka, Jean-David Ruvini, Badrul Sarwar
2013 B conf
Unsupervised learning of Gaussian Mixture Models: Evolutionary Create and Eliminate for Expectation Maximization algorithm.
IEEE Congress on Evolutionary Computation
Thiago F. Covoes, Eduardo R. Hruschka
2013 — conf
Using Both Latent and Supervised Shared Topics for Multitask Learning.
ECML/PKDD (2)
Ayan Acharya, Aditya Rawal, Raymond J. Mooney, Eduardo R. Hruschka
2012 — conf
A Meta-Learning Approach to Select Meta-Heuristics for the Traveling Salesman Problem Using MLP-Based Label Ranking.
ICONIP (3)
Jorge Y. Kanda, Carlos Soares, Eduardo R. Hruschka, André Carlos Ponce de Leon Ferreira de Carvalho
2012 J jnl
A Privacy-Aware Bayesian Approach for Combining Classifier and Cluster Ensembles
CoRR
Ayan Acharya, Eduardo R. Hruschka, Joydeep Ghosh
2012 — conf
A Semi-supervised Approach to Estimate the Number of Clusters per Class.
SBRN
Davidson M. Sestaro, Thiago F. Covoes, Eduardo R. Hruschka
2012 J jnl
An Optimization Framework for Semi-Supervised and Transfer Learning using Multiple Classifiers and Clusterers
CoRR
Ayan Acharya, Eduardo R. Hruschka, Joydeep Ghosh, Sreangsu Acharyya
2012 J jnl
Collaborative Fuzzy Clustering Algorithms: Some Refinements and Design Guidelines.
IEEE Trans. Fuzzy Syst.
Luiz F. S. Coletta, Lucas Vendramin, Eduardo R. Hruschka, Ricardo J. G. B. Campello, Witold Pedrycz
2012 — conf
On the Use of Consensus Clustering for Incremental Learning of Topic Hierarchies.
SBIA
Ricardo M. Marcacini, Eduardo R. Hruschka, Solange O. Rezende
2012 J jnl
Probabilistic Combination of Classifier and Cluster Ensembles for Non-transductive Learning
CoRR
Ayan Acharya, Eduardo R. Hruschka, Joydeep Ghosh, Badrul Sarwar, Jean-David Ruvini
2012 — conf
Transfer Learning with Cluster Ensembles.
ICML Unsupervised and Transfer Learning
Ayan Acharya, Eduardo R. Hruschka, Joydeep Ghosh, Sreangsu Acharyya
2011 J jnl
A Bayesian imputation method for a clustering genetic algorithm.
J. Comput. Methods Sci. Eng.
Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken
2011 — conf
A Privacy-Aware Bayesian Approach for Combining Classifier and Cluster Ensembles.
SocialCom/PASSAT
Ayan Acharya, Eduardo R. Hruschka, Joydeep Ghosh
2011 J jnl
Bayesian network classifiers: Beyond classification accuracy.
Intell. Data Anal.
Edimilson Batista dos Santos, Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken
2011 — conf
C 3E: A Framework for Combining Ensembles of Classifiers and Clusterers.
MCS
Ayan Acharya, Eduardo R. Hruschka, Joydeep Ghosh, Sreangsu Acharyya
2011 Misc conf
Distributed Fuzzy Clustering with Automatic Detection of the Number of Clusters.
DCAI
Lucas Vendramin, Ricardo José Gabrielli Barreto Campello, Luiz F. S. Coletta, Eduardo R. Hruschka
2011 — conf
Document Clustering for Forensic Computing: An Approach for Improving Computer Inspection.
ICMLA (1)
Luís Filipe da Cruz Nassif, Eduardo R. Hruschka
2011 J jnl
Efficiency issues of evolutionary k-means.
Appl. Soft Comput.
Murilo Coelho Naldi, Ricardo J. G. B. Campello, Eduardo R. Hruschka, André C. P. L. F. de Carvalho
2011 — conf
Extending k-Means-Based Algorithms for Evolving Data Streams with Variable Number of Clusters.
ICMLA (2)
Jonathan de Andrade Silva, Eduardo R. Hruschka
2011 J jnl
Selection of algorithms to solve traveling salesman problems using meta-learning.
Int. J. Hybrid Intell. Syst.
Jorge Y. Kanda, André Carlos Ponce de Leon Ferreira de Carvalho, Eduardo R. Hruschka, Carlos Soares
2011 — conf
Splitting and Merging Gaussian Mixture Model Components: An Evolutionary Approach.
ICMLA (1)
Thiago F. Covoes, Eduardo R. Hruschka
2011 J jnl
Towards improving cluster-based feature selection with a simplified silhouette filter.
Inf. Sci.
Thiago F. Covoes, Eduardo R. Hruschka
2011 — conf
Using Meta-learning to Recommend Meta-heuristics for the Traveling Salesman Problem.
ICMLA (1)
Jorge Y. Kanda, André Carlos Ponce de Leon Ferreira de Carvalho, Eduardo R. Hruschka, Carlos Soares
2010 — conf
A Comparative Study on the Use of Correlation Coefficients for Redundant Feature Elimination.
SBRN
Pablo A. Jaskowiak, Ricardo J. G. B. Campello, Thiago F. Covoes, Eduardo R. Hruschka
2010 B conf
A Distance-Based Mutation Operator for learning Bayesian Network structures using Evolutionary Algorithms.
IEEE Congress on Evolutionary Computation
Edimilson Batista dos Santos, Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken
2010 — conf
Fuzzy Clustering-Based Filter.
IPMU (1)
Luiz F. S. Coletta, Eduardo R. Hruschka, Thiago F. Covoes, Ricardo J. G. B. Campello
2010 J jnl
Relative clustering validity criteria: A comparative overview.
Stat. Anal. Data Min.
Lucas Vendramin, Ricardo J. G. B. Campello, Eduardo R. Hruschka
2010 — conf
Using Meta-learning to Classify Traveling Salesman Problems.
SBRN
Jorge Y. Kanda, André Carlos Ponce de Leon Ferreira de Carvalho, Eduardo R. Hruschka, Carlos Soares
2009 Misc conf
A Cluster-Based Feature Selection Approach.
HAIS
Thiago F. Covoes, Eduardo R. Hruschka, Leandro Nunes de Castro, Átila M. Santos
2009 J jnl
A Survey of Evolutionary Algorithms for Clustering.
IEEE Trans. Syst. Man Cybern. Part C
Eduardo R. Hruschka, Ricardo José Gabrielli Barreto Campello, Alex Alves Freitas, André Carlos Ponce de Leon Ferreira de Carvalho
2009 Misc conf
An Evolutionary Algorithm for Missing Values Substitution in Classification Tasks.
HAIS
Jonathan de Andrade Silva, Eduardo R. Hruschka
2009 C conf
An Experimental Study on Unsupervised Clustering-Based Feature Selection Methods.
ISDA
Thiago F. Covoes, Eduardo R. Hruschka
2009 C conf
EACImpute: An Evolutionary Algorithm for Clustering-Based Imputation.
ISDA
Jonathan de Andrade Silva, Eduardo R. Hruschka
2009 — ch.
Evolutionary Fuzzy Clustering: An Overview and Efficiency Issues.
Foundations of Computational Intelligence (4)
Danilo Horta, Murilo Coelho Naldi, Ricardo José Gabrielli Barreto Campello, Eduardo R. Hruschka, André Carlos Ponce de Leon Ferreira de Carvalho
2009 J jnl
On comparing two sequences of numbers and its applications to clustering analysis.
Inf. Sci.
Ricardo José Gabrielli Barreto Campello, Eduardo R. Hruschka
2009 A conf
On the Comparison of Relative Clustering Validity Criteria.
SDM
Lucas Vendramin, Ricardo J. G. B. Campello, Eduardo R. Hruschka
2009 J jnl
On the efficiency of evolutionary fuzzy clustering.
J. Heuristics
Ricardo J. G. B. Campello, Eduardo R. Hruschka, Vinicius S. Alves
2009 J jnl
On the influence of imputation in classification: practical issues.
J. Exp. Theor. Artif. Intell.
Eduardo R. Hruschka, Antonio J. T. Garcia, Estevam R. Hruschka Jr., Nelson F. F. Ebecken
2008 — conf
A Robust Methodology for Comparing Performances of Clustering Validity Criteria.
SBIA
Lucas Vendramin, Ricardo J. G. B. Campello, Eduardo R. Hruschka
2008 — ch.
Genetic Clustering for Data Mining.
Soft Computing for Knowledge Discovery and Data Mining
Murilo Coelho Naldi, André Carlos Ponce de Leon Ferreira de Carvalho, Ricardo José Gabrielli Barreto Campello, Eduardo R. Hruschka
2007 B conf
A Fuzzy Variant of an Evolutionary Algorithm for Clustering.
FUZZ-IEEE
Vinicius S. Alves, Ricardo J. G. B. Campello, Eduardo R. Hruschka
2007 J jnl
Bayesian networks for imputation in classification problems.
J. Intell. Inf. Syst.
Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken
2007 J jnl
Exploiting idle cycles to execute data mining applications on clusters of PCs.
J. Syst. Softw.
Hermes Senger, Eduardo R. Hruschka, Fabrício Alves Barbosa da Silva, Liria Matsumoto Sato, Calebe de Paula Bianchini, Bruno F. Jerosch
2006 J jnl
A fuzzy extension of the silhouette width criterion for cluster analysis.
Fuzzy Sets Syst.
Ricardo J. G. B. Campello, Eduardo R. Hruschka
2006 J jnl
Bayesian Feature Selection for Clustering Problems.
J. Inf. Knowl. Manag.
Eduardo R. Hruschka, Estevam R. Hruschka Jr., Thiago F. Covoes, Nelson F. F. Ebecken
2006 J jnl
Evolving clusters in gene-expression data.
Inf. Sci.
Eduardo R. Hruschka, Ricardo J. G. B. Campello, Leandro Nunes de Castro
2006 J jnl
Extracting rules from multilayer perceptrons in classification problems: A clustering-based approach.
Neurocomputing
Eduardo R. Hruschka, Nelson F. F. Ebecken
2006 B conf
Towards a Fast Evolutionary Algorithm for Clustering.
IEEE Congress on Evolutionary Computation
Vinicius S. Alves, Ricardo J. G. B. Campello, Eduardo R. Hruschka
2005 — conf
Applying Bayesian Networks for Meteorological Data Mining.
SGAI Conf. (Applications)
Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken
2005 — conf
Feature Selection for Cluster Analysis: an Approach Based on the Simplified Silhouette Criterion.
CIMCA/IAWTIC
Eduardo R. Hruschka, Thiago F. Covoes
2005 C conf
Feature Selection for Clustering Problems: a Hybrid Algorithm that Iterates Between k-means and a Bayesian Filter.
HIS
Eduardo R. Hruschka, Thiago F. Covoes, Estevam R. Hruschka Jr., Nelson F. F. Ebecken
2005 — conf
Missing Values Imputation for a Clustering Genetic Algorithm.
ICNC (3)
Eduardo R. Hruschka, Estevam R. Hruschka Jr., Nelson F. F. Ebecken
2005 C conf
Naive Bayes as an Imputation Tool for Classification Problems.
HIS
Antonio J. T. Garcia, Eduardo R. Hruschka
2005 J jnl
Towards Improving Clustering Ants: An Adaptive Ant Clustering Algorithm.
Informatica (Slovenia)
André L. Vizine, Leandro Nunes de Castro, Eduardo R. Hruschka, Ricardo R. Gudwin
2004 — conf
A Scheduling Algorithm for Running Bag-of-Tasks Data Mining Applications on the Grid.
Euro-Par
Fabrício Alves Barbosa da Silva, Sílvia Carvalho, Eduardo R. Hruschka
2004 B conf
An evolutionary clustering technique with local search to design RBF neural network classifiers.
IJCNN
Leandro Nunes de Castro, Eduardo R. Hruschka, Ricardo J. G. B. Campello
2004 A* conf
Evolutionary Algorithms for Clustering Gene-Expression Data.
ICDM
Eduardo R. Hruschka, Leandro Nunes de Castro, Ricardo J. G. B. Campello
2004 B conf
Evolutionary search for optimal fuzzy c-means clustering.
FUZZ-IEEE
Eduardo R. Hruschka, Ricardo J. G. B. Campello, Leandro Nunes de Castro
2004 — conf
Feature Selection by Bayesian Networks.
Canadian AI
Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken
2004 — conf
Improving the Efficiency of a Clustering Genetic Algorithm.
IBERAMIA
Eduardo R. Hruschka, Ricardo J. G. B. Campello, Leandro Nunes de Castro
2004 C conf
Inhambu: Data Mining Using Idle Cycles in Clusters of PCs.
NPC
Hermes Senger, Eduardo R. Hruschka, Fabrício Alves Barbosa da Silva, Liria Matsumoto Sato, Calebe de Paula Bianchini, Marcelo D. Esperidiãao
2004 — conf
Running Data Mining Applications on the Grid: A Bag-of-Tasks Approach.
ICCSA (2)
Fabrício Alves Barbosa da Silva, Sílvia Carvalho, Hermes Senger, Eduardo R. Hruschka, Cléver Ricardo Guareis de Farias
2004 B conf
TermitAnt: An Ant Clustering Algorithm Improved by Ideas from Termite Colonies.
ICONIP
Vahid Sherafat, Leandro Nunes de Castro, Eduardo R. Hruschka
2004 — conf
Towards Efficient Imputation by Nearest-Neighbors: A Clustering-Based Approach.
Australian Conference on Artificial Intelligence
Eduardo R. Hruschka, Estevam R. Hruschka Jr., Nelson F. F. Ebecken
2003 J jnl
A Feature Selection Bayesian Approach for Extracting Classification Rules with a Clustering Genetic Algorithm.
Appl. Artif. Intell.
Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken
2003 — conf
A Nearest-Neighbor Method as a Data Preparation Tool for a Clustering Genetic Algorithm.
SBBD
Eduardo R. Hruschka, Estevam R. Hruschka Jr., Nelson F. F. Ebecken
2003 J jnl
A genetic algorithm for cluster analysis.
Intell. Data Anal.
Eduardo R. Hruschka, Nelson F. F. Ebecken
2003 — conf
Evaluating a Nearest-Neighbor Method to Substitute Continuous Missing Values.
Australian Conference on Artificial Intelligence
Eduardo R. Hruschka, Estevam R. Hruschka Jr., Nelson F. F. Ebecken
2002 C conf
A Data Preparation Bayesian Approach for a Clustering Genetic Algorithm.
HIS
Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken
2000 J jnl
A clustering algorithm for extracting rules from supervised neural network models in data mining tasks.
Int. J. Comput. Syst. Signals
Eduardo R. Hruschka, Nelson F. F. Ebecken
2000 — conf
Applying a Clustering Genetic Algorithm for Extracting Rules from a Supervised Neural Network.
IJCNN (3)
Eduardo R. Hruschka, Nelson F. F. Ebecken
1999 B conf
Rule extraction from neural networks: modified RX algorithm.
IJCNN
Eduardo R. Hruschka, Nelson Francisco Favilla Ebecken