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João Manuel Portela da Gama
AuthID:
R-000-75X
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Document Source:
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Document Type:
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Proceedings Paper (230)
Article (149)
Editorial Material (46)
Proceedings (31)
Book Chapter (27)
Article in Press (12)
Unpublished (8)
Review (7)
Book (6)
Data Paper (2)
Abstract (1)
Correction (1)
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Confirmed Publications: 520
61
TITLE:
Advances in Intelligent Data Analysis XIX - 19th International Symposium on Intelligent Data Analysis, IDA 2021, Porto, Portugal, April 26-28, 2021, Proceedings
AUTHORS:
Pedro Henriques Abreu
;
Pedro Pereira Rodrigues
; Alberto Fernández;
João Gama
;
PUBLISHED:
2021
,
SOURCE:
IDA,
VOLUME:
12695
INDEXED IN:
DBLP
IN MY:
ORCID
|
DBLP
62
TITLE:
An Analysis of Performance Metrics for Imbalanced Classification
AUTHORS:
Gaudreault, Jean Gabriel
;
Branco, Paula
;
Gama, Joao
;
PUBLISHED:
2021
,
SOURCE:
24th International Conference on Discovery Science (DS)
in
DISCOVERY SCIENCE (DS 2021),
VOLUME:
12986
INDEXED IN:
Scopus
WOS
DBLP
CrossRef
:
7
IN MY:
ORCID
|
DBLP
63
TITLE:
Artificial intelligence, cyber-threats and Industry 4.0: challenges and opportunities
Full Text
AUTHORS:
Becue, A;
Praca, I
;
Gama, J
;
PUBLISHED:
2021
,
SOURCE:
ARTIFICIAL INTELLIGENCE REVIEW,
VOLUME:
54,
ISSUE:
5
INDEXED IN:
Scopus
WOS
CrossRef
:
96
IN MY:
ORCID
64
TITLE:
Artificial intelligence, cyber-threats and Industry 4.0: challenges and opportunities
AUTHORS:
Adrien Bécue; Isabel Praça;
João Gama
;
PUBLISHED:
2021
,
SOURCE:
Artif. Intell. Rev.,
VOLUME:
54,
ISSUE:
5
INDEXED IN:
DBLP
IN MY:
ORCID
|
DBLP
65
TITLE:
CAUSAL DISCOVERY IN MACHINE LEARNING: THEORIES AND APPLICATIONS
AUTHORS:
Nogueira, AR
;
Gama, J
;
Ferreira, CA
;
PUBLISHED:
2021
,
SOURCE:
JOURNAL OF DYNAMICS AND GAMES,
VOLUME:
8,
ISSUE:
3
INDEXED IN:
Scopus
WOS
CrossRef
:
12
IN MY:
ORCID
66
TITLE:
Chebyshev approaches for imbalanced data streams regression models
Full Text
AUTHORS:
Aminian, E
;
Ribeiro, RP
;
Gama, J
;
PUBLISHED:
2021
,
SOURCE:
DATA MINING AND KNOWLEDGE DISCOVERY,
VOLUME:
35,
ISSUE:
6
INDEXED IN:
Scopus
WOS
DBLP
CrossRef
:
8
IN MY:
ORCID
|
DBLP
67
TITLE:
Classification and Recommendation With Data Streams
AUTHORS:
Bruno Veloso
;
João Gama
;
Benedita Malheiro
;
PUBLISHED:
2021
,
SOURCE:
Encyclopedia of Information Science and Technology, Fifth Edition - Advances in Information Quality and Management
INDEXED IN:
CrossRef
:
1
IN MY:
ORCID
68
TITLE:
Current Trends in Learning from Data Streams
AUTHORS:
João Gama
;
Bruno Veloso
;
Ehsan Aminian
;
Rita P Ribeiro
;
PUBLISHED:
2021
,
SOURCE:
9th International Conference on Big Data Analytics, BDA 2021
in
Big Data Analytics - 9th International Conference, BDA 2021, Virtual Event, December 15-18, 2021, Proceedings,
VOLUME:
13147
INDEXED IN:
Scopus
DBLP
CrossRef
IN MY:
ORCID
|
DBLP
69
TITLE:
Data stream analysis: Foundations, major tasks and tools
Full Text
AUTHORS:
Bahri, M; Bifet, A;
Gama, J
; Gomes, HM; Maniu, S;
PUBLISHED:
2021
,
SOURCE:
WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY,
VOLUME:
11,
ISSUE:
3
INDEXED IN:
Scopus
WOS
DBLP
CrossRef
:
33
IN MY:
ORCID
|
DBLP
70
TITLE:
Dynamic Topic Modeling Using Social Network Analytics
AUTHORS:
Tabassum, Shazia
;
Gama, Joao
; Azevedo, Paulo; Teixeira, Luis; Martins, Carlos; Martins, Andre;
PUBLISHED:
2021
,
SOURCE:
20th EPIA Conference on Artificial Intelligence (EPIA)
in
PROGRESS IN ARTIFICIAL INTELLIGENCE (EPIA 2021),
VOLUME:
12981
INDEXED IN:
Scopus
WOS
DBLP
CrossRef
:
2
IN MY:
ORCID
|
DBLP
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