Rui Leite - researchr alias

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Viewing Publication 1 - 11 from 11

2024

Solving Simultaneous Continuous Multi-Objective FlipIt Games Using Co-Evolutionary ComputationRui Leite, Hernán E. Aguirre, Kiyoshi Tanaka. cec 2024: 1-8 [doi]

2021

Exploiting Performance-based Similarity between Datasets in MetalearningRui Leite, Pavel Brazdil. AAAI 2021: 90-99 [doi]

2018

An Agent-Based Model for Detection in Economic NetworksJoão Brito, Pedro Campos, Rui Leite. paams 2018: 105-115 [doi]

2012

Selecting Classification Algorithms with Active TestingRui Leite, Pavel Brazdil, Joaquin Vanschoren. mldm 2012: 117-131 [doi]

2010

Determining the Best Classification Algorithm with Recourse to Sampling and MetalearningPavel Brazdil, Rui Leite. In Jacek Koronacki, Zbigniew W. Ras, Slawomir T. Wierzchon, Janusz Kacprzyk, editors, Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S. Michalski. Volume 262 of Studies in Computational Intelligence, pages 173-188, Springer, 2010. [doi]

Active Testing Strategy to Predict the Best Classification Algorithm via Sampling and MetalearningRui Leite, Pavel Brazdil. ecai 2010: 309-314 [doi]

2007

An Iterative Process for Building Learning Curves and Predicting Relative Performance of ClassifiersRui Leite, Pavel Brazdil. epia 2007: 87-98 [doi]

2005

Predicting relative performance of classifiers from samplesRui Leite, Pavel Brazdil. icml 2005: 497-503 [doi]

2004

Improving Progressive Sampling via Meta-learning on Learning CurvesRui Leite, Pavel Brazdil. ecml 2004: 250-261 [doi]

A Meta-learning Approach to Improve Progressive SamplingRui Leite, Pavel Brazdil. pris 2004: 25-34

2003

Improving Progressive Sampling via Meta-learningRui Leite, Pavel Brazdil. epia 2003: 313-323 [doi]

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