Artificial Intelligence for Health Care (AI4Health)
Center for Health Technology and Services Research (CINTESIS) :: Health Data and Decision Sciences & Information Technologies
An Authenticus institution (group) is an organization which consists of a set of researchers (institutional/group team). The set of researchers depends on the organizational structure of the institution per year and can be set at the institution profile, under ‘Researchers’ interface. Based on the institutional team we produce listings of publications, statistics and institutional reports.
Publications displayed at an Authenticus institutional profile depend on two parameters:
- Researchers team associated with the institution per year.
- Publications source type.
We define 3 types of publication sources:
- Validated by team members - includes all publications validated by team members. Requires the definition of the institutional team.
- All published by team members - includes all publications validated by the institution team members plus all not-validated (only identified) publications. Requires the definition of the institutional team.
- Affiliation Based - includes publications that have the institution/group in the publication affiliation. Does not require institutional team, but at the same time does not guarantee that all publications will be listed.
Only validated by team members publications are included.
Only the current year team is included in this action.>
The action is executed in the background, thus the results are NOT immediate.
This actions can be executed only once a month!
Only validated by current year team members publications are included.
The action is executed in the background, thus the results are NOT immediate.
This actions can be executed only once a day!
Publications Count: 1332
22 Team MembersFilters -> Year: 2024
AUTHORS: Joao Gama ;
PUBLISHED: 2014, SOURCE: 18th East European Conference on Advances in Databases and Information Systems (ADBIS) in ADVANCES IN DATABASES AND INFORMATION SYSTEMS (ADBIS 2014), VOLUME: 8716
AUTHORS: João Gama ;
PUBLISHED: 2014, SOURCE: 6th Information and Communication Technologies Innovations 2014 conference, ICT 2014 in ICT Innovations 2014 - World of Data, Ohrid, Macedonia, 1-4 October, 2014, VOLUME: 311, PAGES: 1-5
AUTHORS: Vania Almeida ; Joao Gama ;
PUBLISHED: 2014, SOURCE: 3rd International Conference on Adaptive and Intelligent Systems (ICAIS) in ADAPTIVE AND INTELLIGENT SYSTEMS, ICAIS 2014, VOLUME: 8779, PAGES: 162-171
AUTHORS: Sebastiao, R ; Gama, J ; Mendonca, T ;
PUBLISHED: 2014, SOURCE: 21st European Conference on Artificial Intelligence (ECAI) in 21ST EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE (ECAI 2014), VOLUME: 263, PAGES: 1095-1096
AUTHORS: Raquel Sebastião ; João Gama ; Teresa Mendonça ;
PUBLISHED: 2014, SOURCE: Progress in AI, VOLUME: 3, ISSUE: 1, PAGES: 15-28
AUTHORS: Mohamed Medhat Gaber; Joao Gama ; Shonali Krishnaswamy; Joao Bartolo Gomes; Frederic Stahl;
PUBLISHED: 2014, SOURCE: WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY, VOLUME: 4, ISSUE: 2, PAGES: 116-138
AUTHORS: Daniel Castro Silva ; Pedro Henriques Abreu ; Luis Paulo Reis ; Eugenio Oliveira ;
PUBLISHED: 2014, SOURCE: INFORMATION SCIENCES, VOLUME: 288, ISSUE: 1, PAGES: 27-44
AUTHORS: Vu, AT; Gianmarco D De Francisci Morales; Joao Gama ; Albert Bifet;
PUBLISHED: 2014, SOURCE: IEEE International Conference on Big Data in 2014 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), PAGES: 345-353
AUTHORS: Pedro Pereira Rodrigues ; Joao Gama ;
PUBLISHED: 2014, SOURCE: WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY, VOLUME: 4, ISSUE: 1, PAGES: 38-54
AUTHORS: Pedro Abreu ; Carlos Soares ; Rui Camacho ;
PUBLISHED: 2014, SOURCE: 14th International Conference on Computational Science and Its Applications (ICCSA) in 2014 14TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND ITS APPLICATIONS (ICCSA), PAGES: 256-259
AUTHORS: Oliveira, M ; Guerreiro, A; Gama, J ;
PUBLISHED: 2014, SOURCE: Social Network Analysis and Mining, VOLUME: 4, ISSUE: 1, PAGES: 1-19
AUTHORS: Bosnic, Z; Demsar, J; Kespret, G; Rodrigues, PP ; Gama, J ; Kononenko, I;
PUBLISHED: 2014, SOURCE: ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, VOLUME: 34, PAGES: 178-192
AUTHORS: João Duarte; João Gama ;
PUBLISHED: 2014, SOURCE: Proceedings of the 3rd International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, BigMine 2014, New York City, USA, August 24, 2014, VOLUME: 36, PAGES: 198-213
AUTHORS: Fernando M A Silva ; Inês de Castro Dutra ; Vítor Santos Costa ;
PUBLISHED: 2014, SOURCE: Euro-Par, VOLUME: 8632
AUTHORS: Hadi Fanaee T ; Márcia D B Oliveira ; João Gama ; Simon Malinowski; Ricardo Morla;
PUBLISHED: 2014, SOURCE: CoRR, VOLUME: abs/1406.3266
AUTHORS: Hadi Fanaee T ; João Gama ;
PUBLISHED: 2014, SOURCE: Progress in AI, VOLUME: 2, ISSUE: 2-3, PAGES: 113-127
AUTHORS: Almeida, E ; Ferreira, P ; Vinhoza, TTV ; Dutra, I ; Borges, P; Wu, YR; Burnside, E ;
PUBLISHED: 2014, SOURCE: 13th International Conference on Machine Learning and Applications (ICMLA) in 2014 13TH INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS (ICMLA), PAGES: 362-366
AUTHORS: Pedro Pereira; Rita P Ribeiro ; Joao Gama ;
PUBLISHED: 2014, SOURCE: 17th International Conference on Discovery Science (DS) in DISCOVERY SCIENCE, DS 2014, VOLUME: 8777, PAGES: 264-275
AUTHORS: Joao Vinagre ; Alipio Mario Jorge ; Joao Gama ;
PUBLISHED: 2014, SOURCE: 22nd International Conference on User Modeling, Adaptation, and Personalization (UMAP) in USER MODELING, ADAPTATION, AND PERSONALIZATION, UMAP 2014, VOLUME: 8538, PAGES: 459-470
AUTHORS: Fernando Magro ; Eduardo Rodrigues Pinto; Joao Santos Antunes ; Filipe Vilas Boas; Susana Lopes; Amadeu Nunes; Claudia Camila Dias ; Guilherme Macedo ;
PUBLISHED: 2014, SOURCE: JOURNAL OF CROHNS & COLITIS, VOLUME: 8, ISSUE: 2, PAGES: 129-136