| Enumerating all maximal biclusters in numerical datasets R Veroneze, A Banerjee, FJ Von Zuben Information Sciences 379, 288-309, 2017 | 21 | 2017 |
| Assessing the performance of a swarm-based biclustering technique for data imputation R Veroneze, FO de França, FJ Von Zuben 2011 IEEE Congress of Evolutionary Computation (CEC), 386-393, 2011 | 9 | 2011 |
| On bicluster aggregation and its benefits for enumerative solutions S Oliveira, R Veroneze, FJ Von Zuben International Workshop on Machine Learning and Data Mining in Pattern …, 2015 | 8 | 2015 |
| Tratamento de dados faltantes empregando biclusterização com imputação múltipla R Veroneze [sn], 2011 | 8 | 2011 |
| Efficient mining of maximal biclusters in mixed-attribute datasets R Veroneze, FJ Von Zuben arXiv preprint arXiv:1710.03289, 2017 | 4 | 2017 |
| A multiobjective analysis of adaptive clustering algorithms for the definition of RBF neural network centers in regression problems R Veroneze, AR Gonçalves, FJ Von Zuben International Conference on Intelligent Data Engineering and Automated …, 2012 | 3 | 2012 |
| RIn-Close_CVC2: an even more efficient enumerative algorithm for biclustering of numerical datasets R Veroneze, FJ Von Zuben arXiv preprint arXiv:1810.07725, 2018 | 2 | 2018 |
| Scalability achievements for enumerative biclustering with online partitioning: Case studies involving mixed-attribute datasets R Veroneze, FJ Von Zuben Engineering Applications of Artificial Intelligence 100, 104147, 2021 | 1 | 2021 |
| New advances in enumerative biclustering algorithms with online partitioning R Veroneze, FJ Von Zuben arXiv preprint arXiv:2003.04726, 2020 | 1 | 2020 |
| Máquinas de vetores-suporte IAPFJ Von Zuben, R Veroneze Departamento de Computação Aplicada, Faculdade de Engenharia Elétrica e de …, 2013 | 1 | 2013 |
| Validação de genes prospectados computacionalmente após transcriptoma de pacientes com diabetes, dislipidemia e periodontite BR da SILVA, R VERONEZE, SCT CORBI, CV MAURER-MORELLI, ... Revista de Odontologia da UNESP 49 (Especial), 140-0, 2021 | | 2021 |
| Using association rule mining to jointly detect clinical features and differentially expressed genes related to chronic inflammatory diseases R Veroneze, S Cruz Tfaile Corbi, B Roque da Silva, C de S. Rocha, ... PloS one 15 (10), e0240269, 2020 | | 2020 |
| Convergence Analysis of Global Optimization in Seismic Data Processing R Veroneze, EZ Nadalin, R Granzotti, T Souza, R Lopes 15th International Congress of the Brazilian Geophysical Society & EXPOGEF …, 2017 | | 2017 |
| Enumerating all maximal biclusters in numerical datasets= Enumerando todos os biclusters maximais em conjuntos de dados numéricos R Veroneze [sn], 2016 | | 2016 |
| On bicluster aggregation and its benefits for enumerative solutions S Haniell Galvão de Oliveira, R Veroneze, F José Von Zuben arXiv e-prints, arXiv: 1506.01077, 2015 | | 2015 |
| The influence of supervised clustering for RBFNN centers definition: A comparative study AR Gonçalves, R Veroneze, S Madeiro, CRB Azevedo, FJ Von Zuben International Conference on Artificial Neural Networks, 148-155, 2012 | | 2012 |
| Related themes, challenges and future perspectives R Veroneze, FJ Von Zuben | | |
| Evaluation metrics R Veroneze, FJ Von Zuben | | |
| Enumerative solutions for numerical data R Veroneze, FJ Von Zuben | | |
| Enumerative algorithms for binary data R Veroneze, FJ Von Zuben | | |
Fernando J. Von ZubenDCA/FEEC/UnicampVerified email at dca.fee.unicamp.br
