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: 1365
22 Team MembersFilters -> Year: 2025
AUTHORS: Maiara Bernardes Marques; Patricia Viera de Oliveira; Solange Binotto Fagan; Bruno Rodrigues Oliveira ; Bruna Felix D da Silva Nornberg; Daniela Volcan Almeida; Luis Fernando Marins; Michael Gonzalez Durruthy ;
PUBLISHED: 2019, SOURCE: TOXICOLOGY, VOLUME: 411, PAGES: 81-92
AUTHORS: Abreu, PH ; Silva, DC ; Gomes, A ;
PUBLISHED: 2019, SOURCE: ACM TRANSACTIONS ON COMPUTING EDUCATION, VOLUME: 19, ISSUE: 1, PAGES: 6:1-6:16
AUTHORS: Antonio Ramos Silva ; Vaz, M ; Leite, SR ; Joaquim Mendes ;
PUBLISHED: 2019, SOURCE: RUSSIAN JOURNAL OF NONDESTRUCTIVE TESTING, VOLUME: 55, ISSUE: 10, PAGES: 772-784
AUTHORS: Joel D Costa Júnior; Elaine Ribeiro de Faria; Jonathan de Andrade Silva; João Gama ; Ricardo Cerri;
PUBLISHED: 2019, SOURCE: 8th Brazilian Conference on Intelligent Systems, BRACIS 2019, Salvador, Brazil, October 15-18, 2019, PAGES: 144-149

AUTHORS: Leite, S ; Dias, MS; Eloy, S; Freitas, J; Marques, S; Pedro, T; Ourique, L;
PUBLISHED: 2019, SOURCE: SENSORS, VOLUME: 19, ISSUE: 11, PAGES: 2447
AUTHORS: Rute Sampaio ; Luis Filipe Azevedo ; Claudia Camila Dias ; Rob Horne; Jose M C Castro Lopes ;
PUBLISHED: 2019, SOURCE: JOURNAL OF EVALUATION IN CLINICAL PRACTICE, VOLUME: 25, ISSUE: 2, PAGES: 346-352
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: Rodrigues, P; Morais, VA; António P. Martins ; Carvalho, A;
PUBLISHED: 2019, SOURCE: 45th Annual Conference of the IEEE Industrial Electronics Society (IECON) in 45TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY (IECON 2019), PAGES: 2257-2262
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
