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TITLE: Lag Selection for Univariate Time Series Forecasting Using Deep Learning: An Empirical Study
AUTHORS: José Leites; Vítor Cerqueira ; Carlos Soares ;
PUBLISHED: 2024, SOURCE: 23rd EPIA Conference on Artificial Intelligence, EPIA 2024 in Progress in Artificial Intelligence - 23rd EPIA Conference on Artificial Intelligence, EPIA 2024, Viana do Castelo, Portugal, September 3-6, 2024, Proceedings, Part III, VOLUME: 14969
INDEXED IN: Scopus DBLP CrossRef: 2
IN MY: ORCID | DBLP
12
TITLE: Meta-TadGAN: Time Series Anomaly Detection Using TadGAN with Meta-features
AUTHORS: Inês Oliveira e Silva; Carlos Soares ; Vítor Cerqueira ; Arlete Rodrigues; Pedro Bastardo;
PUBLISHED: 2024, SOURCE: 23rd EPIA Conference on Artificial Intelligence, EPIA 2024 in Progress in Artificial Intelligence - 23rd EPIA Conference on Artificial Intelligence, EPIA 2024, Viana do Castelo, Portugal, September 3-6, 2024, Proceedings, Part III, VOLUME: 14969
INDEXED IN: Scopus DBLP CrossRef
13
TITLE: VEST: automatic feature engineering for forecasting  Full Text
AUTHORS: Cerqueira, V ; Moniz, N ; Soares, C ;
PUBLISHED: 2024, SOURCE: MACHINE LEARNING, VOLUME: 113, ISSUE: 7
INDEXED IN: Scopus WOS DBLP CrossRef: 13
14
TITLE: Automated imbalanced classification via layered learning  Full Text
AUTHORS: Vítor Cerqueira ; Luís Torgo ; Paula Branco ; Colin Bellinger;
PUBLISHED: 2023, SOURCE: Mach. Learn., VOLUME: 112, ISSUE: 6
INDEXED IN: DBLP CrossRef: 4
15
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: 3
16
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: 5
17
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: ORCID | DBLP
18
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: 20
19
TITLE: Towards time-evolving analytics: Online learning for time-dependent evolving data streams
AUTHORS: Giacomo Ziffer; Alessio Bernardo; Emanuele Della Valle; Vítor Cerqueira ; Albert Bifet;
PUBLISHED: 2023, SOURCE: Data Sci., VOLUME: 6, ISSUE: 1-2
INDEXED IN: DBLP CrossRef: 2
20
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: 29
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