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TÍTULO: A Study on the Impact of Data Characteristics in Imbalanced Regression Tasks
AUTORES: Paula Branco ; Luís Torgo ;
PUBLICAÇÃO: 2019, FONTE: 2019 IEEE International Conference on Data Science and Advanced Analytics, DSAA 2019, Washington, DC, USA, October 5-8, 2019
INDEXADO EM: DBLP CrossRef: 1
NO MEU: ORCID | DBLP
42
TÍTULO: A Study on the Impact of Data Characteristics in Imbalanced Regression Tasks
AUTORES: Branco, P ; Torgo, L ;
PUBLICAÇÃO: 2019, FONTE: 6th IEEE International Conference on Data Science and Advanced Analytics (DSAA) in 2019 IEEE INTERNATIONAL CONFERENCE ON DATA SCIENCE AND ADVANCED ANALYTICS (DSAA 2019)
INDEXADO EM: Scopus WOS
43
TÍTULO: Arbitrage of forecasting experts  Full Text
AUTORES: Vitor Cerqueira ; Luis Torgo ; Falai Pinto; Carlos Soares ;
PUBLICAÇÃO: 2019, FONTE: MACHINE LEARNING, VOLUME: 108, NÚMERO: 6
INDEXADO EM: Scopus WOS DBLP CrossRef: 23
NO MEU: ORCID | DBLP
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TÍTULO: Biased Resampling Strategies for Imbalanced Spatio-Temporal Forecasting
AUTORES: Oliveira, M ; Moniz, N ; Torgo, L ; Costa, VS ;
PUBLICAÇÃO: 2019, FONTE: 6th IEEE International Conference on Data Science and Advanced Analytics (DSAA) in 2019 IEEE INTERNATIONAL CONFERENCE ON DATA SCIENCE AND ADVANCED ANALYTICS (DSAA 2019)
INDEXADO EM: Scopus WOS DBLP CrossRef: 3
NO MEU: ORCID | DBLP
45
TÍTULO: Constructive Aggregation and Its Application to Forecasting with Dynamic Ensembles
AUTORES: Cerqueira, V ; Pinto, F; Torgo, L ; Soares, C ; Moniz, N ;
PUBLICAÇÃO: 2019, FONTE: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) in MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2018, PT I, VOLUME: 11051
INDEXADO EM: Scopus WOS DBLP CrossRef: 2
NO MEU: ORCID | DBLP
46
TÍTULO: Diversity and Composition of Pelagic Prokaryotic and Protist Communities in a Thin Arctic Sea-Ice Regime  Full Text
AUTORES: Antonio Gaspar G de Sousa; Maria Paola Tomasino; Pedro Duarte; Mar Fernandez Mendez; Philipp Assmy; Hugo Ribeiro; Jaroslaw Surkont; Ricardo B Leite; Jose B Pereira Leal; Luis Torgo ; Catarina Magalhaes ;
PUBLICAÇÃO: 2019, FONTE: MICROBIAL ECOLOGY, VOLUME: 78, NÚMERO: 2
INDEXADO EM: Scopus WOS CrossRef: 23
NO MEU: ORCID
47
TÍTULO: Evaluation Procedures for Forecasting with Spatio-Temporal Data
AUTORES: Oliveira, M ; Torgo, L ; Costa, VS ;
PUBLICAÇÃO: 2019, FONTE: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) in MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2018, PT I, VOLUME: 11051
INDEXADO EM: Scopus WOS DBLP CrossRef: 9
NO MEU: ORCID | DBLP
48
TÍTULO: Explaining the Performance of Black Box Regression Models
AUTORES: Areosa, I; Torgo, L ;
PUBLICAÇÃO: 2019, FONTE: 6th IEEE International Conference on Data Science and Advanced Analytics (DSAA) in 2019 IEEE INTERNATIONAL CONFERENCE ON DATA SCIENCE AND ADVANCED ANALYTICS (DSAA 2019)
INDEXADO EM: Scopus WOS DBLP CrossRef: 3
NO MEU: ORCID | DBLP
49
TÍTULO: Layered Learning for Early Anomaly Detection: Predicting Critical Health Episodes
AUTORES: Vítor Cerqueira ; Luís Torgo ; Carlos Soares ;
PUBLICAÇÃO: 2019, FONTE: 22nd International Conference on Discovery Science, DS 2019 in Discovery Science - 22nd International Conference, DS 2019, Split, Croatia, October 28-30, 2019, Proceedings, VOLUME: 11828
INDEXADO EM: Scopus DBLP CrossRef: 4
NO MEU: ORCID | DBLP
50
TÍTULO: On Feature Selection and Evaluation of Transportation Mode Prediction Strategies PDF
AUTORES: Mohammad Etemad; Amílcar Soares; Stan Matwin; Luis Torgo ;
PUBLICAÇÃO: 2019, FONTE: 2019 Workshops of the EDBT/ICDT Joint Conference, EDBT/ICDT-WS 2019 in Proceedings of the Workshops of the EDBT/ICDT 2019 Joint Conference, EDBT/ICDT 2019, Lisbon, Portugal, March 26, 2019., VOLUME: 2322
INDEXADO EM: Scopus DBLP
NO MEU: ORCID | DBLP
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