Rui Manuel Santos Rodrigues Leite


AuthID: R-000-FYS

Publicações Confirmadas: 8



1
TÍTULO: Exploiting Performance-based Similarity between Datasets in Metalearning
AUTORES: Rui Leite ; Pavel Brazdil ;
PUBLICAÇÃO: 2021, FONTE: AAAI Workshop on Meta-Learning and MetaDL Challenge, MetaDL@AAAI 2021, virtual, February 9, 2021., VOLUME: 140
INDEXADO EM: DBLP
2
TÍTULO: An agent-based model for detection in economic networks
AUTORES: Brito, J; Campos, P ; Leite, R ;
PUBLICAÇÃO: 2018, FONTE: 16th International Conference on Practical Applications of Agents, Multi-Agent Systems, PAAMS 2018 in Communications in Computer and Information Science, VOLUME: 887
INDEXADO EM: Scopus CrossRef: 1
3
TÍTULO: Risks deter but pleasures allure: Is pleasure more important?  Full Text
AUTORES: Chao, LW; Szrek, H; Leite, R ; Peltzer, K; Ramlagan, S;
PUBLICAÇÃO: 2015, FONTE: JUDGMENT AND DECISION MAKING, VOLUME: 10, NÚMERO: 3
INDEXADO EM: Scopus WOS
4
TÍTULO: Selecting classification algorithms with active testing on similar datasets
AUTORES: Leite, R ; Brazdil, P ; Vanschoren, J;
PUBLICAÇÃO: 2012, FONTE: 5th Planning to Learn Workshop, PlanLearn 2012 at 2012 European Conference on Artificial Intelligence, ECAI 2012 in CEUR Workshop Proceedings, VOLUME: 950
INDEXADO EM: Scopus
5
TÍTULO: Active Testing Strategy to Predict the Best Classification Algorithm via Sampling and Metalearning
AUTORES: Rui Leite ; Pavel Brazdil ;
PUBLICAÇÃO: 2010, FONTE: 19th European Conference on Artificial Intelligence (ECAI)/6th Conference on Prestigious Applications of Intelligent Systems (PAIS) in ECAI 2010 - 19TH EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOLUME: 215
INDEXADO EM: Scopus WOS DBLP
6
TÍTULO: An iterative process for building learning curves and predicting relative performance of classifiers
AUTORES: Rui Leite ; Pavel Brazdil ;
PUBLICAÇÃO: 2007, FONTE: 13th Portuguese Conference on Artificial Intelligence in PROGRESS IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS, VOLUME: 4874
INDEXADO EM: Scopus WOS DBLP CrossRef: 8
7
TÍTULO: Improving progressive sampling via meta-learning on learning curves
AUTORES: Leite, R ; Brazdil, P ;
PUBLICAÇÃO: 2004, FONTE: 15th European Conference on Machine Learning/8th European Conference on Principles and Practice of Knowledge Discovery in Databases in MACHINE LEARNING: ECML 2004, PROCEEDINGS, VOLUME: 3201
INDEXADO EM: Scopus WOS DBLP CrossRef: 9
8
TÍTULO: Improving progressive sampling via meta-learning  Full Text
AUTORES: Leite, R ; Brazdil, P ;
PUBLICAÇÃO: 2003, FONTE: 11th Portuguese Conference on Artificial Intelligence in PROGRESS IN ARTIFICIAL INTELLIGENCE, VOLUME: 2902
INDEXADO EM: Scopus WOS DBLP CrossRef: 1

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