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Conference and Workshop Papers
- 2024
[c10]Rui Leite, Hernán E. Aguirre, Kiyoshi Tanaka:
Solving Simultaneous Continuous Multi-Objective FlipIt Games Using Co-Evolutionary Computation. CEC 2024: 1-8- 2021
- [c9]Rui Leite, Pavel Brazdil:
Exploiting Performance-based Similarity between Datasets in Metalearning. MetaDL@AAAI 2021: 90-99 - 2018
- [c8]João Brito, Pedro Campos
, Rui Leite:
An Agent-Based Model for Detection in Economic Networks. PAAMS (Workshops) 2018: 105-115 - 2012
- [c7]Rui Leite, Pavel Brazdil, Joaquin Vanschoren:
Selecting Classification Algorithms with Active Testing. MLDM 2012: 117-131 - 2010
- [c6]Rui Leite, Pavel Brazdil:
Active Testing Strategy to Predict the Best Classification Algorithm via Sampling and Metalearning. ECAI 2010: 309-314 - 2007
- [c5]Rui Leite, Pavel Brazdil:
An Iterative Process for Building Learning Curves and Predicting Relative Performance of Classifiers. EPIA Workshops 2007: 87-98 - 2005
- [c4]Rui Leite, Pavel Brazdil:
Predicting relative performance of classifiers from samples. ICML 2005: 497-503 - 2004
- [c3]Rui Leite, Pavel Brazdil:
Improving Progressive Sampling via Meta-learning on Learning Curves. ECML 2004: 250-261 - [c2]Rui Leite, Pavel Brazdil:
A Meta-learning Approach to Improve Progressive Sampling. PRIS 2004: 25-34 - 2003
- [c1]Rui Leite, Pavel Brazdil:
Improving Progressive Sampling via Meta-learning. EPIA 2003: 313-323
Parts in Books or Collections
- 2010
- [p1]Pavel Brazdil, Rui Leite:
Determining the Best Classification Algorithm with Recourse to Sampling and Metalearning. Advances in Machine Learning I 2010: 173-188
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last updated on 2024-08-21 21:31 CEST by the dblp team
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