Improving Progressive Sampling via Meta-learning. - Rui Leite; Pavel Brazdil (EPIA, 2003)

Improving Progressive Sampling via Meta-learning on Learning Curves. - Rui Leite; Pavel Brazdil (ECML, 2004)

A Meta-learning Approach to Improve Progressive Sampling. - Rui Leite; Pavel Brazdil (PRIS, 2004)

Predicting relative performance of classifiers from samples. - Rui Leite; Pavel Brazdil (ICML, 2005)

An Iterative Process for Building Learning Curves and Predicting Relative Performance of Classifiers. - Rui Leite; Pavel Brazdil (EPIA Workshops, 2007)

Active Testing Strategy to Predict the Best Classification Algorithm via Sampling and Metalearning. - Rui Leite; Pavel Brazdil (ECAI, 2010)

Determining the Best Classification Algorithm with Recourse to Sampling and Metalearning. - Pavel Brazdil; Rui Leite (Advances in Machine Learning I, 2010)

Selecting Classification Algorithms with Active Testing. - Rui Leite; Pavel Brazdil; Joaquin Vanschoren (MLDM, 2012)

An Agent-Based Model for Detection in Economic Networks. - João Brito; Pedro Campos 001; Rui Leite (PAAMS (Workshops), 2018)

Exploiting Performance-based Similarity between Datasets in Metalearning. - Rui Leite; Pavel Brazdil (MetaDL@AAAI, 2021)

Solving Simultaneous Continuous Multi-Objective FlipIt Games Using Co-Evolutionary Computation. - Rui Leite; Hernán E. Aguirre; Kiyoshi Tanaka (CEC, 2024)

Key Insights into Estimating Nash Equilibria in Simultaneous Continuous Multiplayer Games Using Coevolutionary Algorithms. - Rui Leite; Hernán E. Aguirre; Kiyoshi Tanaka (GECCO, 2025)