2008 |
28 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | Antonio J. T. Garcia,
Eduardo R. Hruschka:
Naive Bayes as an Imputation Tool for Classification Problems.
HIS 2005: 497-499 |
17 | EE | 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 | EE | 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 | EE | 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 | EE | Estevam R. Hruschka Jr.,
Eduardo R. Hruschka,
Nelson F. F. Ebecken:
Feature Selection by Bayesian Networks.
Canadian Conference on AI 2004: 370-379 |
13 | EE | 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 | EE | 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 | EE | 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 | EE | Eduardo R. Hruschka,
Leandro Nunes de Castro,
Ricardo J. G. B. Campello:
Evolutionary Algorithms for Clustering Gene-Expression Data.
ICDM 2004: 403-406 |
9 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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) |