Luís Fernando Raínho Alves Torgo
AuthID: R-000-9DV
1
TÃTULO: Enhancing short-term vessel trajectory prediction with clustering for heterogeneous and multi-modal movement patterns
AUTORES: Alam, Md Mahbub; Spadon, Gabriel; Etemad, Mohammad; Torgo, Luis; Milios, Evangelos;
PUBLICAÇÃO: 2024, FONTE: OCEAN ENGINEERING, VOLUME: 308
AUTORES: Alam, Md Mahbub; Spadon, Gabriel; Etemad, Mohammad; Torgo, Luis; Milios, Evangelos;
PUBLICAÇÃO: 2024, FONTE: OCEAN ENGINEERING, VOLUME: 308
2
TÃTULO: RHiOTS: A Framework for Evaluating Hierarchical Time Series Forecasting Algorithms
AUTORES: Luis Roque; Carlos Soares ; Luís Torgo;
PUBLICAÇÃO: 2024, FONTE: 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2024 in Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2024, Barcelona, Spain, August 25-29, 2024, VOLUME: 25
AUTORES: Luis Roque; Carlos Soares ; Luís Torgo;
PUBLICAÇÃO: 2024, FONTE: 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2024 in Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2024, Barcelona, Spain, August 25-29, 2024, VOLUME: 25
3
TÃTULO: Fifth International Workshop on Learning with Imbalanced Domains: Theory and Applications, 18 September 2023, LIDTA@ECML-PKDD, Turin, Italy
AUTORES: Nuno Moniz; Paula Branco; Luís Torgo; Nathalie Japkowicz; Michal Wozniak; Shuo Wang;
PUBLICAÇÃO: 2023, FONTE: LIDTA, VOLUME: 241
AUTORES: Nuno Moniz; Paula Branco; Luís Torgo; Nathalie Japkowicz; Michal Wozniak; Shuo Wang;
PUBLICAÇÃO: 2023, FONTE: LIDTA, VOLUME: 241
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