| 2018 | CEC | Classification with Multi-Modal Classes Using Evolutionary Algorithms and Constrained Clustering. | Thiago F. Covoes, Eduardo R. Hruschka |
| 2018 | ICMLA | Online Orthogonal Regression Based on a Regularized Squared Loss. | Roberto Souza, Saul C. Leite, Wagner Meira Jr., Eduardo R. Hruschka |
| 2014 | ICPR | Privileged Information for Hierarchical Document Clustering: A Metric Learning Approach. | Ricardo Marcondes Marcacini, Marcos Aurlio Domingues, Eduardo R. Hruschka, Solange Oliveira Rezende |
| 2013 | CEC | Unsupervised learning of Gaussian Mixture Models: Evolutionary Create and Eliminate for Expectation Maximization algorithm. | Thiago F. Covoes, Eduardo R. Hruschka |
| 2013 | SDM | Probabilistic Combination of Classifier and Cluster Ensembles for Non-transductive Learning. | Ayan Acharya, Joydeep Ghosh, Eduardo R. Hruschka, Jean-David Ruvini, Badrul Sarwar |
| 2012 | ICONIP | A Meta-Learning Approach to Select Meta-Heuristics for the Traveling Salesman Problem Using MLP-Based Label Ranking. | Jorge Y. Kanda, Carlos Soares, Eduardo R. Hruschka, Andr Carlos Ponce de Leon Ferreira de Carvalho |
| 2011 | DCAI | Distributed Fuzzy Clustering with Automatic Detection of the Number of Clusters. | Lucas Vendramin, Ricardo Jos Gabrielli Barreto Campello, Luiz F. S. Coletta, Eduardo R. Hruschka |
| 2011 | ICMLA | Splitting and Merging Gaussian Mixture Model Components: An Evolutionary Approach. | Thiago F. Covoes, Eduardo R. Hruschka |
| 2011 | ICMLA | Using Meta-learning to Recommend Meta-heuristics for the Traveling Salesman Problem. | Jorge Y. Kanda, Andr Carlos Ponce de Leon Ferreira de Carvalho, Eduardo R. Hruschka, Carlos Soares |
| 2011 | ICMLA | Document Clustering for Forensic Computing: An Approach for Improving Computer Inspection. | Lus Filipe da Cruz Nassif, Eduardo R. Hruschka |
| 2011 | ICMLA | Extending k-Means-Based Algorithms for Evolving Data Streams with Variable Number of Clusters. | Jonathan de Andrade Silva, Eduardo R. Hruschka |
| 2010 | CEC | A Distance-Based Mutation Operator for learning Bayesian Network structures using Evolutionary Algorithms. | Edimilson Batista dos Santos, Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken |
| 2010 | IPMU | Fuzzy Clustering-Based Filter. | Luiz F. S. Coletta, Eduardo R. Hruschka, Thiago F. Covoes, Ricardo J. G. B. Campello |
| 2009 | HAIS | A Cluster-Based Feature Selection Approach. | Thiago F. Covoes, Eduardo R. Hruschka, Leandro Nunes de Castro, tila M. Santos |
| 2009 | HAIS | An Evolutionary Algorithm for Missing Values Substitution in Classification Tasks. | Jonathan de Andrade Silva, Eduardo R. Hruschka |
| 2009 | ISDA | An Experimental Study on Unsupervised Clustering-Based Feature Selection Methods. | Thiago F. Covoes, Eduardo R. Hruschka |
| 2009 | ISDA | EACImpute: An Evolutionary Algorithm for Clustering-Based Imputation. | Jonathan de Andrade Silva, Eduardo R. Hruschka |
| 2009 | SDM | On the Comparison of Relative Clustering Validity Criteria. | Lucas Vendramin, Ricardo J. G. B. Campello, Eduardo R. Hruschka |
| 2006 | CEC | Towards a Fast Evolutionary Algorithm for Clustering. | Vinicius S. Alves, Ricardo J. G. B. Campello, Eduardo R. Hruschka |
| 2005 | HIS | Naive Bayes as an Imputation Tool for Classification Problems. | Antonio J. T. Garcia, Eduardo R. Hruschka |
| 2005 | HIS | Feature Selection for Clustering Problems: a Hybrid Algorithm that Iterates Between k-means and a Bayesian Filter. | Eduardo R. Hruschka, Thiago F. Covoes, Estevam R. Hruschka Jr., Nelson F. F. Ebecken |
| 2005 | ICNC | Missing Values Imputation for a Clustering Genetic Algorithm. | Eduardo R. Hruschka, Estevam R. Hruschka Jr., Nelson F. F. Ebecken |
| 2005 | SGAI | Applying Bayesian Networks for Meteorological Data Mining. | Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken |
| 2004 | AI | Feature Selection by Bayesian Networks. | Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken |
| 2004 | EuroPar | A Scheduling Algorithm for Running Bag-of-Tasks Data Mining Applications on the Grid. | Fabrcio Alves Barbosa da Silva, Slvia Carvalho, Eduardo R. Hruschka |
| 2004 | ICCSA | Running Data Mining Applications on the Grid: A Bag-of-Tasks Approach. | Fabrcio Alves Barbosa da Silva, Slvia Carvalho, Hermes Senger, Eduardo R. Hruschka, Clver Ricardo Guareis de Farias |
| 2004 | ICDM | Evolutionary Algorithms for Clustering Gene-Expression Data. | Eduardo R. Hruschka, Leandro Nunes de Castro, Ricardo J. G. B. Campello |
| 2004 | ICONIP | TermitAnt: An Ant Clustering Algorithm Improved by Ideas from Termite Colonies. | Vahid Sherafat, Leandro Nunes de Castro, Eduardo R. Hruschka |
| 2004 | IJCNN | An evolutionary clustering technique with local search to design RBF neural network classifiers. | Leandro Nunes de Castro, Eduardo R. Hruschka, Ricardo J. G. B. Campello |
| 2004 | NPC | Inhambu: Data Mining Using Idle Cycles in Clusters of PCs. | Hermes Senger, Eduardo R. Hruschka, Fabrcio Alves Barbosa da Silva, Liria Matsumoto Sato, Calebe De Paula Bianchini, Marcelo D. Esperidiao |
| 2002 | HIS | A Data Preparation Bayesian Approach for a Clustering Genetic Algorithm. | Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken |
| 2000 | IJCNN | Applying a Clustering Genetic Algorithm for Extracting Rules from a Supervised Neural Network. | Eduardo R. Hruschka, Nelson F. F. Ebecken |
| 1999 | IJCNN | Rule extraction from neural networks: modified RX algorithm. | Eduardo R. Hruschka, Nelson Francisco Favilla Ebecken |