João Manuel Portela da Gama


AuthID: R-000-75X

Confirmed Publications: 588



1
TITLE: A Deep Learning Framework for Forecasting Medium-Term Covariance in Multiasset Portfolios  Full Text
AUTHORS: Reis, Pedro; Paula Serra, Ana; Gama, Joao ;
PUBLISHED: 2026, SOURCE: JOURNAL OF FORECASTING
INDEXED IN: Scopus WOS CrossRef
IN MY: ORCID
2
TITLE: A two-stage framework for early failure detection in predictive maintenance: A case study on metro trains  Full Text
AUTHORS: Toribio, Luis; Veloso, Bruno ; Gama, Joao ; Zafra, Amelia;
PUBLISHED: 2026, SOURCE: NEUROCOMPUTING, VOLUME: 670
INDEXED IN: Scopus WOS DBLP CrossRef: 2
IN MY: DBLP
3
TITLE: Building of transformer-based RUL predictors supported by explainability techniques: Application on real industrial datasets
AUTHORS: Dinten, Ricardo; Zorrilla, Marta; Veloso, Bruno ; Gama, Joao ;
PUBLISHED: 2026, SOURCE: INFORMATION FUSION, VOLUME: 127
INDEXED IN: Scopus WOS DBLP CrossRef
IN MY: ORCID | DBLP
4
TITLE: DFDT: Dynamic Fast Decision Tree for IoT Data Stream Mining on Edge Devices
AUTHORS: Afonso Lourenço; João Rodrigo; João Gama ; Goreti Marreiros;
PUBLISHED: 2026, SOURCE: AAAI
INDEXED IN: DBLP
IN MY: DBLP
5
TITLE: Interpretable Predictive Maintenance: Combining Anomaly Detection with Quantitative Root Cause Analysis
AUTHORS: Barbosa, Ines ; Gama, Joao ; Veloso, Bruno ;
PUBLISHED: 2026, SOURCE: 24th EPIA Conference on Progress in Artificial Intelligence-EPIA in PROGRESS IN ARTIFICIAL INTELLIGENCE, EPIA 2025, PT II, VOLUME: 16122
INDEXED IN: Scopus WOS DBLP CrossRef Unpaywall
6
TITLE: Interpretable rules for online failure prediction: a case study on metro do porto datasets
AUTHORS: Jakobs, Matthias; Veloso, Bruno ; Gama, Joao ;
PUBLISHED: 2026, SOURCE: INTERNATIONAL JOURNAL OF DATA SCIENCE AND ANALYTICS, VOLUME: 22, ISSUE: 1
INDEXED IN: Scopus WOS DBLP CrossRef
IN MY: DBLP
7
TITLE: Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part IX
AUTHORS: Inês Dutra ; Mykola Pechenizkiy; Paulo Cortez; Sepideh Pashami; Alípio M Jorge ; Carlos Soares ; Pedro H Abreu; João Gama ;
PUBLISHED: 2026, SOURCE: ECML/PKDD (9), VOLUME: 16021
INDEXED IN: DBLP
8
TITLE: Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track and Demo Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part X
AUTHORS: Inês Dutra ; Mykola Pechenizkiy; Paulo Cortez; Sepideh Pashami; Arian Pasquali; Nuno Moniz ; Alípio M Jorge ; Carlos Soares ; Pedro H Abreu; João Gama ;
PUBLISHED: 2026, SOURCE: ECML/PKDD (10), VOLUME: 16022
INDEXED IN: DBLP
9
TITLE: Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part I
AUTHORS: Rita P Ribeiro ; Bernhard Pfahringer; Nathalie Japkowicz; Pedro Larrañaga; Alípio M Jorge ; Carlos Soares ; Pedro H Abreu; João Gama ;
PUBLISHED: 2026, SOURCE: ECML/PKDD (1), VOLUME: 16013
INDEXED IN: DBLP
10
TITLE: Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part II
AUTHORS: Rita P Ribeiro ; Bernhard Pfahringer; Nathalie Japkowicz; Pedro Larrañaga; Alípio M Jorge ; Carlos Soares ; Pedro H Abreu; João Gama ;
PUBLISHED: 2026, SOURCE: ECML/PKDD (2), VOLUME: 16014
INDEXED IN: DBLP
Page 1 of 59. Total results: 588.

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