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: Bischoff, F. ; Maria do Carmo Koch; Pedro Pereira Rodrigues ;
PUBLISHED: 2019, SOURCE: ICT for Health Science Research - Proceedings of the EFMI 2019 Special Topic Conference - 7-10 April 2019, Hanover, Germany, VOLUME: 258, PAGES: 135-139
AUTHORS: Li, G; Gama, J ; Yang, J;
PUBLISHED: 2019, SOURCE: 24th International Conference on Database Systems for Advanced Applications, DASFAA 2019 in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), VOLUME: 11446 LNCS
AUTHORS: Li, G; Gama, J ; Yang, J;
PUBLISHED: 2019, SOURCE: 24th International Conference on Database Systems for Advanced Applications, DASFAA 2019 in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), VOLUME: 11447 LNCS
AUTHORS: Gama, J ;
PUBLISHED: 2019, SOURCE: Workshops Nemesis, UrbReas, SoGood, IWAISe, and Green Data Mining, held at the 18th European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2018 in Communications in Computer and Information Science, VOLUME: 967, PAGES: 50-51
AUTHORS: Luis Ruano ; Natalia Araujo ; Mariana Branco; Rui Barreto; Sandra Moreira ; Ricardo Pais; Vitor Tedim Cruz ; Nuno Lunet ; Henrique Barros ;
PUBLISHED: 2019, SOURCE: AMERICAN JOURNAL OF ALZHEIMERS DISEASE AND OTHER DEMENTIAS, VOLUME: 34, ISSUE: 1, PAGES: 49-56
AUTHORS: Pereira, FSF; Tabassum, S ; Gama, J ; de Amo, S; Oliveira, GMB;
PUBLISHED: 2019, SOURCE: Studies in Big Data, VOLUME: 41, PAGES: 155-176
AUTHORS: Joel D Costa Junior; Elaine R Faria; Jonathan A Silva; Joao Gama ; Ricardo Cerri;
PUBLISHED: 2019, SOURCE: International Joint Conference on Neural Networks (IJCNN) in 2019 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), VOLUME: 2019-July, PAGES: 1-8
AUTHORS: Guoliang Li; João Gama ; Jun Yang;
PUBLISHED: 2019, SOURCE: Data Science and Engineering, VOLUME: 4, ISSUE: 3, PAGES: 177-178
AUTHORS: Bifet, A; Carvalho, A; Ferreira, C ; Gama, J ;
PUBLISHED: 2019, SOURCE: 34th Annual ACM Symposium on Applied Computing, SAC 2019 in Proceedings of the ACM Symposium on Applied Computing, VOLUME: Part F147772, PAGES: 556
AUTHORS: Eduarda Portel; Rita P Ribeire ; Joao Gama ;
PUBLISHED: 2019, SOURCE: INTELLIGENT DATA ANALYSIS, VOLUME: 23, ISSUE: 1, PAGES: 23-39
AUTHORS: Fabíola Souza Fernandes Pereira; Claudio D G Linhares; Jean R Ponciano; João Gama ; Sandra de Amo; Gina M B Oliveira;
PUBLISHED: 2019, SOURCE: Braz. J. Inf. Syst., VOLUME: 12, ISSUE: 3, PAGES: 94-115
AUTHORS: Diogo Fernandes; Carla Silva ; Inês Dutra ;
PUBLISHED: 2019, SOURCE: ACM Crossroads, VOLUME: 26, ISSUE: 2, PAGES: 68-71
AUTHORS: Diogo Fernandes; Inês Dutra ;
PUBLISHED: 2019, SOURCE: ACM Crossroads, VOLUME: 26, ISSUE: 1, PAGES: 64-66
AUTHORS: Silvia Castro; Isabel Jesus Pereira; Claudia Camila Dias ; Cristina Granja ;
PUBLISHED: 2019, SOURCE: ACTA ANAESTHESIOLOGICA SCANDINAVICA, VOLUME: 63, ISSUE: 7, PAGES: 895-899
AUTHORS: Mafalda Santiago ; Fernando Magro ; Luis Correia; Franciso Portela; Paula Ministro; Paula Laho; Claudia Carmila Dias ;
PUBLISHED: 2019, SOURCE: THERAPEUTIC ADVANCES IN GASTROENTEROLOGY, VOLUME: 12, PAGES: 175628481986004
AUTHORS: Daniela Ferreira-Santos ; Pedro Pereira Rodrigues ;
PUBLISHED: 2018, SOURCE: International Journal of Data Science and Analytics
AUTHORS: Juan G Colonna; Joao Gama ; Eduardo F Nakamura;
PUBLISHED: 2018, SOURCE: MACHINE LEARNING, VOLUME: 107, ISSUE: 11, PAGES: 1651-1671
AUTHORS: Pedro Pereira Rodrigues ; Joao Araujo; Joao Gama ; Luis Lopes ;
PUBLISHED: 2018, SOURCE: INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, VOLUME: 14, ISSUE: 10, PAGES: 155014771880823
AUTHORS: Oliveira, B ; Queiros, S; Morais, P ; Torres, HR; Gomes Fonseca, J; Fonseca, JC; Vilaca, JL;
PUBLISHED: 2018, SOURCE: MEDICAL IMAGE ANALYSIS, VOLUME: 45, PAGES: 108-120
AUTHORS: Jakub Zgraja; João Gama ; Michal Wozniak;
PUBLISHED: 2018, SOURCE: Workshops Nemesis, UrbReas, SoGood, IWAISe, and Green Data Mining, held at the 18th European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2018 in ECML PKDD 2018 Workshops - DMLE 2018 and IoTStream 2018, Dublin, Ireland, September 10-14, 2018, Revised Selected Papers, VOLUME: 967, PAGES: 80-90