| A new evolutionary algorithm for mining top-k discriminative patterns in high dimensional data T Lucas, TCPB Silva, R Vimieiro, TB Ludermir Applied Soft Computing 59, 487-499, 2017 | 30 | 2017 |
| Evasão escolar: aplicando mineração de dados para identificar variáveis relevantes C Bezerra, R Scholz, P Adeodato, T Lucas, I Ataide Brazilian Symposium on Computers in Education (Simpósio Brasileiro de …, 2016 | 19 | 2016 |
| SSDP: a simple evolutionary approach for top-k discriminative patterns in high dimensional databases T Pontes, R Vimieiro, TB Ludermir 2016 5th Brazilian Conference on Intelligent Systems (BRACIS), 361-366, 2016 | 11 | 2016 |
| SSDP+: A diverse and more informative subgroup discovery approach for high dimensional data T Lucas, R Vimieiro, T Ludermir 2018 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2018 | 10 | 2018 |
| Selecting variables with search algorithms and neural networks to improve the process of time series forecasting I Valença, T Lucas, T Ludermir, M Valença International Journal of Hybrid Intelligent Systems 8 (3), 129-141, 2011 | 7 | 2011 |
| How to obtain fair managerial decisions in sugar cane harvest using NSGA-II DF Pacheco, TDP Lucas, FB de Lima Neto 7th International Conference on Hybrid Intelligent Systems (HIS 2007), 186-191, 2007 | 6 | 2007 |
| Depressão entre jovens brasileiros: uma investigação baseada em mineração de subgrupos FC de Medeiros Azevedo, TDP Lucas Research, Society and Development 11 (1), e10511124547-e10511124547, 2022 | 2 | 2022 |
| A multivariate method for group profiling using subgroup discovery T Lucas, J Gomes, R Vimieiro, R Prudêncio, T Ludermir 2019 8th Brazilian Conference on Intelligent Systems (BRACIS), 371-376, 2019 | 2 | 2019 |
| How Preferences Affect Productivity in the Sugarcane Harvest Problem A Comparative Study of a Two-Steps MOEA DF Pacheco, TDP Lucas, FB de Lima Neto 2008 Eighth International Conference on Hybrid Intelligent Systems, 296-301, 2008 | 1 | 2008 |
| SSDP-H: Hybrid Approaches for Subgroup Discovery on High-Dimensional Datasets GAR Toscano, TDP Lucas 2023 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 1-6, 2023 | | 2023 |
| Meta-aprendizado para otimizacao de parametros de redes neurais T Lucas, T Ludermir, R Prudencio, C Soares arXiv preprint arXiv:2109.13745, 2021 | | 2021 |
| Mineração de subgrupos em bases de dados de alta dimensionalidade TDP LUCAS Universidade Federal de Pernambuco, 2019 | | 2019 |
| How to Obtain Fair Managerial Decisions in Sugar Cane Harvest Using DF Pacheco, TDP Lucas, FB de Lima Neto | | |
| Meta-learning to optimize the number of hidden nodes of MLP networks trained by Extreme Learning Machine algorithm T Lucas, R Prudêncio, T Ludermir, C Soares | | |
| Utilizando Informações de Tendência Fuzzy para Previsão de Vazões com Redes Neurais TC de Curso, E da Computação | | |
