Luís Fernando Raínho Alves Torgo


AuthID: R-000-9DV

Confirmed Publications: 162



11
TITLE: Early anomaly detection in time series: a hierarchical approach for predicting critical health episodes  Full Text
AUTHORS: Cerqueira, Vitor ; Torgo, Luis ; Soares, Carlos ;
PUBLISHED: 2023, SOURCE: MACHINE LEARNING, VOLUME: 112, ISSUE: 11
INDEXED IN: Scopus WOS DBLP CrossRef: 4
IN MY: ORCID | DBLP
12
TITLE: Fifth International Workshop on Learning with Imbalanced Domains: Theory and Applications, 18 September 2023, LIDTA@ECML-PKDD, Turin, Italy
AUTHORS: Nuno Moniz ; Paula Branco ; Luís Torgo ; Nathalie Japkowicz; Michal Wozniak; Shuo Wang;
PUBLISHED: 2023, SOURCE: LIDTA, VOLUME: 241
INDEXED IN: DBLP
IN MY: DBLP
13
TITLE: Model Selection for Time Series Forecasting An Empirical Analysis of Multiple Estimators  Full Text
AUTHORS: Cerqueira, Vitor ; Torgo, Luis ; Soares, Carlos ;
PUBLISHED: 2023, SOURCE: NEURAL PROCESSING LETTERS, VOLUME: 55, ISSUE: 7
INDEXED IN: Scopus WOS DBLP CrossRef: 6
IN MY: ORCID | DBLP
14
TITLE: Multi-output Ensembles for Multi-step Forecasting
AUTHORS: Vítor Cerqueira ; Luís Torgo ;
PUBLISHED: 2023, SOURCE: CoRR, VOLUME: abs/2306.14563
INDEXED IN: DBLP
IN MY: DBLP
15
TITLE: STUDD: a student-teacher method for unsupervised concept drift detection PDF  Full Text
AUTHORS: Vítor Cerqueira ; Heitor Murilo Gomes; Albert Bifet; Luís Torgo ;
PUBLISHED: 2023, SOURCE: Mach. Learn., VOLUME: 112, ISSUE: 11
INDEXED IN: DBLP arXiv CrossRef: 30
IN MY: ORCID | DBLP
16
TITLE: Subgroup mining for performance analysis of regression models  Full Text
AUTHORS: Pimentel, Joao; Azevedo, Paulo J. ; Torgo, Luis ;
PUBLISHED: 2023, SOURCE: EXPERT SYSTEMS, VOLUME: 40, ISSUE: 1
INDEXED IN: Scopus WOS DBLP CrossRef: 4
IN MY: ORCID | DBLP
17
TITLE: 4th Workshop on Learning with Imbalanced Domains: Preface
AUTHORS: Nuno Moniz ; Paula Branco ; Luís Torgo ; Nathalie Japkowicz; Michal Wozniak; Shuo Wang;
PUBLISHED: 2022, SOURCE: 3rd International Workshop on Learning with Imbalanced Domains: Theoryand Applications, LIDTA 2021 in Fourth International Workshop on Learning with Imbalanced Domains: Theory and Applications, LIDTA 2022, Grenoble, France, September 23, 2022, VOLUME: 183
INDEXED IN: Scopus DBLP
IN MY: DBLP
18
TITLE: A case study comparing machine learning with statistical methods for time series forecasting: size matters  Full Text
AUTHORS: Cerqueira, Vitor ; Torgo, Luis ; Soares, Carlos ;
PUBLISHED: 2022, SOURCE: JOURNAL OF INTELLIGENT INFORMATION SYSTEMS, VOLUME: 59, ISSUE: 2
INDEXED IN: Scopus WOS DBLP CrossRef: 40
IN MY: ORCID | DBLP
19
TITLE: A Clustering-based Approach for Predicting the Future Location of a Vessel
AUTHORS: Md. Mahbub Alam; Luís Torgo ;
PUBLISHED: 2022, SOURCE: 35th Canadian Conference on Artificial Intelligence, Toronto, Ontario, Canada, May 30 - June 3, 2022.
INDEXED IN: DBLP
IN MY: ORCID | DBLP
20
TITLE: A Survey on Spatio-temporal Data Analytics Systems
AUTHORS: Md. Mahbub Alam; Luís Torgo ; Albert Bifet;
PUBLISHED: 2022, SOURCE: ACM Comput. Surv., VOLUME: 54, ISSUE: 10s
INDEXED IN: DBLP
IN MY: ORCID | DBLP
Page 2 of 17. Total results: 162.

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