| 2009 | ||
|---|---|---|
| 33 | Thiago F. Covoes, Eduardo R. Hruschka, Leandro Nunes de Castro, Átila M. Santos: A Cluster-Based Feature Selection Approach. HAIS 2009: 169-176 | |
| 32 | Jonathan de Andrade Silva, Eduardo R. Hruschka: An Evolutionary Algorithm for Missing Values Substitution in Classification Tasks. HAIS 2009: 195-202 | |
| 31 | Lucas Vendramin, Ricardo J. G. B. Campello, Eduardo R. Hruschka: On the Comparison of Relative Clustering Validity Criteria. SDM 2009: 733-744 | |
| 30 | Ricardo José Gabrielli Barreto Campello, Eduardo R. Hruschka: On comparing two sequences of numbers and its applications to clustering analysis. Inf. Sci. 179(8): 1025-1039 (2009) | |
| 29 | Eduardo R. Hruschka, Antonio J. T. Garcia, Estevam R. Hruschka Jr., Nelson F. F. Ebecken: On the influence of imputation in classification: practical issues. J. Exp. Theor. Artif. Intell. 21(1): 43-58 (2009) | |
| 2008 | ||
| 28 | Lucas Vendramin, Ricardo J. G. B. Campello, Eduardo R. Hruschka: A Robust Methodology for Comparing Performances of Clustering Validity Criteria. SBIA 2008: 237-247 | |
| 27 | Murilo Coelho Naldi, André Carlos Ponce Leon Ferreira de Carvalho, Ricardo José Gabrielli Barreto Campello, Eduardo R. Hruschka: Genetic Clustering for Data Mining. Soft Computing for Knowledge Discovery and Data Mining 2008: 113-132 | |
| 2007 | ||
| 26 | Vinicius S. Alves, Ricardo J. G. B. Campello, Eduardo R. Hruschka: A Fuzzy Variant of an Evolutionary Algorithm for Clustering. FUZZ-IEEE 2007: 1-6 | |
| 25 | Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken: Bayesian networks for imputation in classification problems. J. Intell. Inf. Syst. 29(3): 231-252 (2007) | |
| 24 | Hermes Senger, Eduardo R. Hruschka, Fabrício Alves Barbosa da Silva, Liria Matsumoto Sato, Calebe De Paula Bianchini, Bruno F. Jerosch: Exploiting idle cycles to execute data mining applications on clusters of PCs. Journal of Systems and Software 80(5): 778-790 (2007) | |
| 2006 | ||
| 23 | Ricardo J. G. B. Campello, Eduardo R. Hruschka: A fuzzy extension of the silhouette width criterion for cluster analysis. Fuzzy Sets and Systems 157(21): 2858-2875 (2006) | |
| 22 | Eduardo R. Hruschka, Ricardo J. G. B. Campello, Leandro Nunes de Castro: Evolving clusters in gene-expression data. Inf. Sci. 176(13): 1898-1927 (2006) | |
| 21 | Eduardo R. Hruschka, Estevam R. Hruschka Jr., Thiago F. Covoes, Nelson F. F. Ebecken: Bayesian Feature Selection for Clustering Problems. JIKM 5(4): 315-327 (2006) | |
| 2005 | ||
| 20 | Eduardo R. Hruschka, Thiago F. Covoes: Feature Selection for Cluster Analysis: an Approach Based on the Simplified Silhouette Criterion. CIMCA/IAWTIC 2005: 32-38 | |
| 19 | Eduardo R. Hruschka, Thiago F. Covoes, Estevam R. Hruschka Jr., Nelson F. F. Ebecken: Feature Selection for Clustering Problems: a Hybrid Algorithm that Iterates Between k-means and a Bayesian Filter. HIS 2005: 405-410 | |
| 18 | Antonio J. T. Garcia, Eduardo R. Hruschka: Naive Bayes as an Imputation Tool for Classification Problems. HIS 2005: 497-499 | |
| 17 | Eduardo R. Hruschka, Estevam R. Hruschka Jr., Nelson F. F. Ebecken: Missing Values Imputation for a Clustering Genetic Algorithm. ICNC (3) 2005: 245-254 | |
| 16 | André L. Vizine, Leandro Nunes de Castro, Eduardo R. Hruschka, Ricardo R. Gudwin: Towards Improving Clustering Ants: An Adaptive Ant Clustering Algorithm. Informatica (Slovenia) 29(2): 143-154 (2005) | |
| 2004 | ||
| 15 | Eduardo R. Hruschka, Estevam R. Hruschka Jr., Nelson F. F. Ebecken: Towards Efficient Imputation by Nearest-Neighbors: A Clustering-Based Approach. Australian Conference on Artificial Intelligence 2004: 513-525 | |
| 14 | Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken: Feature Selection by Bayesian Networks. Canadian Conference on AI 2004: 370-379 | |
| 13 | Fabrício Alves Barbosa da Silva, Sílvia Carvalho, Eduardo R. Hruschka: A Scheduling Algorithm for Running Bag-of-Tasks Data Mining Applications on the Grid. Euro-Par 2004: 254-262 | |
| 12 | Eduardo R. Hruschka, Ricardo J. G. B. Campello, Leandro Nunes de Castro: Improving the Efficiency of a Clustering Genetic Algorithm. IBERAMIA 2004: 861-870 | |
| 11 | Fabrício Alves Barbosa da Silva, Sílvia Carvalho, Hermes Senger, Eduardo R. Hruschka, Cléver Ricardo Guareis de Farias: Running Data Mining Applications on the Grid: A Bag-of-Tasks Approach. ICCSA (2) 2004: 168-177 | |
| 10 | Eduardo R. Hruschka, Leandro Nunes de Castro, Ricardo J. G. B. Campello: Evolutionary Algorithms for Clustering Gene-Expression Data. ICDM 2004: 403-406 | |
| 9 | Vahid Sherafat, Leandro Nunes de Castro, Eduardo R. Hruschka: TermitAnt: An Ant Clustering Algorithm Improved by Ideas from Termite Colonies. ICONIP 2004: 1088-1093 | |
| 8 | Hermes Senger, Eduardo R. Hruschka, Fabrício Alves Barbosa da Silva, Liria Matsumoto Sato, Calebe De Paula Bianchini, Marcelo D. Esperidiãao: Inhambu: Data Mining Using Idle Cycles in Clusters of PCs. NPC 2004: 213-220 | |
| 2003 | ||
| 7 | Eduardo R. Hruschka, Estevam R. Hruschka Jr., Nelson F. F. Ebecken: Evaluating a Nearest-Neighbor Method to Substitute Continuous Missing Values. Australian Conference on Artificial Intelligence 2003: 723-734 | |
| 6 | Eduardo R. Hruschka, Estevam R. Hruschka Jr., Nelson F. F. Ebecken: A Nearest-Neighbor Method as a Data Preparation Tool for a Clustering Genetic Algorithm. SBBD 2003: 319-327 | |
| 5 | Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken: A Feature Selection Bayesian Approach for Extracting Classification Rules with a Clustering Genetic Algorithm. Applied Artificial Intelligence 17(5-6): 489-506 (2003) | |
| 4 | Eduardo R. Hruschka, Nelson F. F. Ebecken: A genetic algorithm for cluster analysis. Intell. Data Anal. 7(1): 15-25 (2003) | |
| 2002 | ||
| 3 | Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken: A Data Preparation Bayesian Approach for a Clustering Genetic Algorithm. HIS 2002: 453-461 | |
| 2000 | ||
| 2 | Eduardo R. Hruschka, Nelson F. F. Ebecken: Applying a Clustering Genetic Algorithm for Extracting Rules from a Supervised Neural Network. IJCNN (3) 2000: 407-412 | |
| 1 | Eduardo R. Hruschka, Nelson F. F. Ebecken: A clustering algorithm for extracting rules from supervised neural network models in data mining tasks. Int. J. Comput. Syst. Signal 1(1): 17-29 (2000) | |