Selecting classification algorithms with active testing R Leite, P Brazdil, J Vanschoren Machine Learning and Data Mining in Pattern Recognition: 8th International …, 2012 | 135 | 2012 |
Predicting relative performance of classifiers from samples R Leite, P Brazdil Proceedings of the 22nd international conference on machine learning, 497-503, 2005 | 88 | 2005 |
Active Testing Strategy to Predict the Best Classification Algorithm via Sampling and Metalearning. R Leite, P Brazdil ECAI, 309-314, 2010 | 64 | 2010 |
Improving progressive sampling via meta-learning on learning curves R Leite, P Brazdil Machine Learning: ECML 2004: 15th European Conference on Machine Learning …, 2004 | 35 | 2004 |
An iterative process for building learning curves and predicting relative performance of classifiers R Leite, P Brazdil Progress in Artificial Intelligence: 13th Portuguese Conference on …, 2007 | 27 | 2007 |
Selecting classification algorithms with active testing on similar datasets R Leite, P Brazdil, J Vanschoren 5 th PLANNING TO LEARN WORKSHOP WS28 AT ECAI 2012, 20, 2012 | 8 | 2012 |
Selecting classifiers using metalearning with sampling landmarks and data characterization R Leite, P Brazdil Proceedings of the 2nd Planning to Learn Workshop (PlanLearn) at ICML/COLT …, 2008 | 8 | 2008 |
Decision tree-based attribute selection via sub sampling R Leite, P Brazdil Workshop de minería de datos y aprendizaje, VIII Iberamia, Sevilla, Spain, 77-83, 2002 | 8 | 2002 |
Exploiting performance-based similarity between datasets in metalearning R Leite, P Brazdil AAAI Workshop on Meta-Learning and MetaDL Challenge, 90-99, 2021 | 5 | 2021 |
An agent-based model for detection in economic networks J Brito, P Campos, R Leite Highlights of Practical Applications of Agents, Multi-Agent Systems, and …, 2018 | 5 | 2018 |
Improving progressive sampling via meta-learning R Leite, P Brazdil Portuguese Conference on Artificial Intelligence, 313-323, 2003 | 5 | 2003 |
Determining the Best Classification Algorithm with Recourse to Sampling and Metalearning P Brazdil, R Leite Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard …, 2010 | 3 | 2010 |
Using active testing and Meta-Level information for selection of classification algorithms R Leite, P Brazdil, F Queirós 3 rd PLANNING TO LEARN WORKSHOP WS9 AT ECAI 2010, 47, 2010 | 1 | 2010 |
Using active testing and meta-level information for selection of classification algorithms P Brazdil, R Leite, J Vanschoren, F Queiros CW Reports, 2010 | 1 | 2010 |
Selecçao de Algoritmos de Classificaçao RMSR Leite | 1 | 2007 |
A Meta-learning Approach to Improve Progressive Sampling R Leite, P Brazdil International Workshop on Pattern Recognition in Information Systems 2, 25-34, 2004 | 1 | 2004 |
Combinação de métodos de pré-processamento e aprendizagem simbólica RMSR Leite | | 2000 |
Redes neuronais: previsão de consumos de gás em Lisboa: relatório de estágio RMSR Leite | | 1993 |
Development of a good cost-effective strategy for conducting experiments/tests while exploiting previous knowledge using metalearning P Brazdil, R Leite | | |
Attribute Selection via Subsampling R Leite, P Brazdil | | |