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: 1320
22 Team MembersFilters -> Year: 2024
AUTHORS: Sofia Ribeirinho Leite ; Cory David Barker; Marc G Lucas;
PUBLISHED: 2016, SOURCE: Behavioral Development Bulletin, VOLUME: 21, ISSUE: 1, PAGES: 33-43
AUTHORS: Elaine R Faria; Isabel J C R Goncalves; Andre C P L F de Carvalho; Joao Gama ;
PUBLISHED: 2016, SOURCE: ARTIFICIAL INTELLIGENCE REVIEW, VOLUME: 45, ISSUE: 2, PAGES: 235-269
AUTHORS: Fabiola S F Pereira ; Sandra de Amo; Joao Gama ;
PUBLISHED: 2016, SOURCE: 19th International Conference on Discovery Science (DS) / 27th International Conference on Algorithmic Learning Theory (ALT) in DISCOVERY SCIENCE, (DS 2016), VOLUME: 9956, PAGES: 408-423
AUTHORS: João Vinagre ; Alípio Mário Jorge ; João Gama ;
PUBLISHED: 2016, SOURCE: 2016 Workshop on Large-Scale Learning from Data Streams in Evolving Environments, STREAMEVOLV 2016 in Proceedings of the Workshop on Large-scale Learning from Data Streams in Evolving Environments (STREAMEVOLV 2016) co-located with the 2016 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2016), Riva del Garda, Italy, September 23, 2016., VOLUME: 2069
AUTHORS: Ricardo Sousa ; Joao Gama ;
PUBLISHED: 2016, SOURCE: 17th Conference of the Spanish-Association-for-Artificial-Intelligence (CAEPIA) in ADVANCES IN ARTIFICIAL INTELLIGENCE, CAEPIA 2016, VOLUME: 9868, PAGES: 58-67
AUTHORS: Ricardo Sousa ; Joao Gama ;
PUBLISHED: 2016, SOURCE: 15th International Symposium on Intelligent Data Analysis (IDA) in ADVANCES IN INTELLIGENT DATA ANALYSIS XV, VOLUME: 9897, PAGES: 123-133
AUTHORS: Mário Cordeiro ; João Gama ;
PUBLISHED: 2016, SOURCE: European Conference on Machine Learning, ECML 1989 in Solving Large Scale Learning Tasks. Challenges and Algorithms - Essays Dedicated to Katharina Morik on the Occasion of Her 60th Birthday, VOLUME: 9580, PAGES: 1-41
AUTHORS: Rui Camacho ; Jorge G Barbosa ; Altino M Sampaio ; João Ladeiras; Nuno A Fonseca ; Vítor Santos Costa ;
PUBLISHED: 2016, SOURCE: Resource Management for Big Data Platforms - Algorithms, Modelling, and High-Performance Computing Techniques, PAGES: 339-363
AUTHORS: Miguel Henriques Abreu; Pedro Henriques Abreu ; Noemia Afonso; Deolinda Pereira; Rui Henrique ; Carlos Lopes;
PUBLISHED: 2016, SOURCE: INTERNATIONAL JOURNAL OF CANCER, VOLUME: 139, ISSUE: 8, PAGES: 1715-1720
AUTHORS: Abreu, PH; Santos, Miriam Seoane ; Abreu, MH ; Andrade, B; Silva, DC ;
PUBLISHED: 2016, SOURCE: ACM COMPUTING SURVEYS, VOLUME: 49, ISSUE: 3, PAGES: 52:1-52:40
AUTHORS: Andreia Albuquerque; Helder Cardoso ; Margarida Marques; Susana Rodrigues; Filipe Vilas Boas; Susana Lopes; Claudia Camila Dias ; Guilherme Macedo ;
PUBLISHED: 2016, SOURCE: REVISTA ESPANOLA DE ENFERMEDADES DIGESTIVAS, VOLUME: 108, ISSUE: 2, PAGES: 65-70
AUTHORS: Afonso, J ; Lopes, S; Gonçalves, R; Caldeira, P; Lago, P; Tavares de Sousa, H; Ramos, J; Gonçalves, AR ; Ministro, P; Rosa, I; Vieira, AI; Dias, CC ; Magro, F ; Portuguese IBD Study Group (GEDII), ;
PUBLISHED: 2016, SOURCE: ALIMENTARY PHARMACOLOGY & THERAPEUTICS, VOLUME: 44, ISSUE: 7, PAGES: 684-692
AUTHORS: Rui Moreira; Ricardo Bessa ; Joao Gama ;
PUBLISHED: 2016, SOURCE: 13th International Conference on the European Energy Market (EEM) in 2016 13TH INTERNATIONAL CONFERENCE ON THE EUROPEAN ENERGY MARKET (EEM), VOLUME: 2016-July
AUTHORS: Carlos A Alberto Martinez Angeles; Ines Dutra ; Vitor Santos Costa ; Jorge Buenabad Chavez;
PUBLISHED: 2016, SOURCE: 25th International Conference on Inductive Logic Programming (ILP) in INDUCTIVE LOGIC PROGRAMMING, ILP 2015, VOLUME: 9575, PAGES: 122-136
AUTHORS: Juan G Colonna ; Joao Gama ; Eduardo F Nakamura;
PUBLISHED: 2016, SOURCE: 19th International Conference on Discovery Science (DS) / 27th International Conference on Algorithmic Learning Theory (ALT) in DISCOVERY SCIENCE, (DS 2016), VOLUME: 9956, PAGES: 198-212
AUTHORS: Carlos A Alberto Martinez Angeles; Haicheng C Wu; Ines Dutra ; Vitor Santos Costa ; Jorge Buenabad Chavez;
PUBLISHED: 2016, SOURCE: INTERNATIONAL JOURNAL OF PARALLEL PROGRAMMING, VOLUME: 44, ISSUE: 3, PAGES: 663-685
AUTHORS: Shazia Tabassum ; João Gama ;
PUBLISHED: 2016, SOURCE: IEEE 17th International Conference on Mobile Data Management, MDM 2016, Porto, Portugal, June 13-16, 2016 - Workshops, PAGES: 55-59
AUTHORS: Shazia Tabassum ; João Gama ;
PUBLISHED: 2016, SOURCE: 31st Annual ACM Symposium on Applied Computing, SAC 2016 in Proceedings of the 31st Annual ACM Symposium on Applied Computing, Pisa, Italy, April 4-8, 2016, VOLUME: 04-08-April-2016, PAGES: 923-928
AUTHORS: Rita P Ribeiro ; Pedro Pereira; Joao Gama ;
PUBLISHED: 2016, SOURCE: MACHINE LEARNING, VOLUME: 105, ISSUE: 1, PAGES: 127-153