Using genetic algorithms to improve prediction of execution times of ML tasks
Rattan Priya Bruno Feres de Souza; André L. D Rossi; André Carlos Ponce de Leon Ferreira de Carvalho; International Conference on Hybrid Artificial Intelligent Systems - HAIS (7. 2012 Salamanca)
Lecture Notes in Computer Science Berlin : Springer-Verlag v. 7208, p. 196-207, 2012
An experimental study of the combination of meta-learning with particle swarm algorithms for SVM parameter selection
Péricles B. C Miranda Ricardo B. C Prudêncio; André Carlos Ponce de Leon Ferreira de Carvalho; Carlos Soares; International Conference on Computational Science and its Applications - ICCSA (12. 2012 Salvador de Bahia)
Lecture Notes in Computer Science Berlin : Springer-Verlag v. 7335, p. 562-575, 2012
A meta-learning approach to select meta-heuristics for the traveling salesman problem using MLP-based label ranking
Jorge Kanda Carlos Soares; Eduardo Raul Hruschka 1972-; André Carlos Ponce de Leon Ferreira de Carvalho; International Conference on Neural Information Processing - ICONIP (19. 2012 Doha, Qatar)
Lecture Notes in Computer Science Berlin : Springer-Verlag v. 7665, p. 488-495, 2012
Preprocessing technique for cluster editing via Integer Linear Programming
Luiz Henrique Nogueira Lorena Marcos Gonçalves Quiles; André Carlos Ponce de Leon Ferreira de Carvalho; Luiz Antonio Nogueira Lorena; International Conference on Intelligent Computing Theories and Application - ICIC (14. 2018 Wuhan, China)
Lecture Notes in Computer Science Cham : Springer v. 10954, p. 287-297, 2018
Unsupervised domain adaptation for human activity recognition
Paulo Barbosa Kemilly Dearo Garcia; João Mendes Moreira; André Carlos Ponce de Leon Ferreira de Carvalho; International Conference on Intelligent Data Engineering and Automated Learning - IDEAL (19. 2018 Madrid)
Lecture Notes in Computer Science Cham : Springer v. 11314, p. 623-630, 2018
A cluster-based prototype reduction for online classification
Kemilly Dearo Garcia André Carlos Ponce de Leon Ferreira de Carvalho; João Mendes Moreira; International Conference on Intelligent Data Engineering and Automated Learning - IDEAL (19. 2018 Madrid)
Lecture Notes in Computer Science Cham : Springer v. 11314, p. 603-610, 2018
Improving portfolio optimization using weighted link prediction in dynamic stock networks
Douglas Castilho João Gama; Leandro Resende Mundim; André Carlos Ponce de Leon Ferreira de Carvalho; International Conference on Computational Science - ICCS (19. 2019 Faro, Portugal)
Lecture Notes in Computer Science Cham : Springer v. 11538, p. 340-353, 2019
Multi-objective basic variable neighborhood search for portfolio selection
Thiago Alves de Queiroz Leandro Resende Mundim; André Carlos Ponce de Leon Ferreira de Carvalho; International Conference on Variable Neighborhood Search - ICVNS (7. 2019 Rabat, Morocco)
Lecture Notes in Computer Science Cham : Springer v. 12010, p. 67–80, 2020
Evaluate pseudo labeling and CNN for multi-variate time series classification in low-data regimes
Dino Ienco Davi Pereira-Santos; André Carlos Ponce de Leon Ferreira de Carvalho; International Conference on Artificial Neural Networks - ICANN (30. 2021 Bratislava, Slovakia)
Lecture Notes in Computer Science Cham : Springer v. 12895, p. 126-137, 2021
Time-series in hyper-parameter initialization of machine learning techniques
Tomás Horváth Rafael Gomes Mantovani; André Carlos Ponce de Leon Ferreira de Carvalho; International Conference on Intelligent Data Engineering and Automated Learning - IDEAL (22. 2021 Manchester, UK)
Lecture Notes in Computer Science Cham : Springer v. 13113, p. 246-258, 2021