Eduardo R. Hruschka
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A survey of evolutionary algorithms for clustering
ER Hruschka, RJGB Campello, AA Freitas
IEEE Transactions on systems, man, and cybernetics, Part C (applications and …, 2009
Data stream clustering: A survey
JA Silva, ER Faria, RC Barros, ER Hruschka, AC Carvalho, J Gama
ACM Computing Surveys (CSUR) 46 (1), 1-31, 2013
Tweet sentiment analysis with classifier ensembles
NFF Da Silva, ER Hruschka, ER Hruschka Jr
Decision support systems 66, 170-179, 2014
Relative clustering validity criteria: A comparative overview
L Vendramin, RJGB Campello, ER Hruschka
Statistical analysis and data mining: the ASA data science journal 3 (4 …, 2010
A fuzzy extension of the silhouette width criterion for cluster analysis
RJGB Campello, ER Hruschka
Fuzzy Sets and Systems 157 (21), 2858-2875, 2006
Evolving clusters in gene-expression data
ER Hruschka, RJGB Campello, LN De Castro
Information Sciences 176 (13), 1898-1927, 2006
A genetic algorithm for cluster analysis
ER Hruschka, NFF Ebecken
Intelligent Data Analysis 7 (1), 15-25, 2003
On the comparison of relative clustering validity criteria
L Vendramin, RJGB Campello, ER Hruschka
Proceedings of the 2009 SIAM international conference on data mining, 733-744, 2009
Simultaneous co-clustering and learning to address the cold start problem in recommender systems
ALV Pereira, ER Hruschka
Knowledge-Based Systems 82, 11-19, 2015
Efficiency issues of evolutionary k-means
MC Naldi, RJGB Campello, ER Hruschka, A Carvalho
Applied Soft Computing 11 (2), 1938-1952, 2011
A survey and comparative study of tweet sentiment analysis via semi-supervised learning
NFFD Silva, LFS Coletta, ER Hruschka
ACM Computing Surveys (CSUR) 49 (1), 1-26, 2016
Document clustering for forensic analysis: an approach for improving computer inspection
LF da Cruz Nassif, ER Hruschka
IEEE transactions on information forensics and security 8 (1), 46-54, 2013
Combining classification and clustering for tweet sentiment analysis
LFS Coletta, NFF da Silva, ER Hruschka, ER Hruschka
2014 Brazilian conference on intelligent systems, 210-215, 2014
Towards improving clustering ants: An adaptive ant clustering algorithm
AL Vizine, LN de Castro, ER Hrusch
Informatica 29 (2), 2005
Extracting rules from multilayer perceptrons in classification problems: A clustering-based approach
ER Hruschka, NFF Ebecken
Neurocomputing 70 (1-3), 384-397, 2006
Evolutionary algorithms for clustering gene-expression data
ER Hruschka, LN de Castro, RJGB Campello
Fourth IEEE International Conference on Data Mining (ICDM'04), 403-406, 2004
An evolutionary algorithm for clustering data streams with a variable number of clusters
J de Andrade Silva, ER Hruschka, J Gama
Expert Systems with Applications 67, 228-238, 2017
Collaborative fuzzy clustering algorithms: Some refinements and design guidelines
LFS Coletta, L Vendramin, ER Hruschka, RJGB Campello, W Pedrycz
IEEE Transactions on Fuzzy Systems 20 (3), 444-462, 2011
Bayesian networks for imputation in classification problems
ER Hruschka, ER Hruschka, NFF Ebecken
Journal of Intelligent Information Systems 29, 231-252, 2007
Using unsupervised information to improve semi-supervised tweet sentiment classification
NFF da Silva, LFS Coletta, ER Hruschka, ER Hruschka Jr
Information Sciences 355, 348-365, 2016
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