Health Data and Decision Sciences & Information Technologies
Center for Health Technology and Services Research (CINTESIS)
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: 5979
149 Team MembersFilters -> Year: 2024
AUTHORS: Thiago Andrade ; João Gama ;
PUBLISHED: 2023, SOURCE: 38th Annual ACM Symposium on Applied Computing, SAC 2023 in Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, SAC 2023, Tallinn, Estonia, March 27-31, 2023, PAGES: 422-424
AUTHORS: Teixeira, Sonia ; Veloso, Bruno ; Rodrigues, Jose Coelho ; Gama, Joao ;
PUBLISHED: 2023, SOURCE: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) in MACHINE LEARNING AND PRINCIPLES AND PRACTICE OF KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2022, PT I, VOLUME: 1752, PAGES: 150-166
AUTHORS: José Pereira Amorim; Pedro Henriques Abreu ; João A M Santos; Henning Müller;
PUBLISHED: 2023, SOURCE: CoRR, VOLUME: abs/2305.03002
AUTHORS: Amorim, Jose P.; Abreu, Pedro H. ; Santos, Joao ; Cortes, Marc; Vila, Victor;
PUBLISHED: 2023, SOURCE: INFORMATION PROCESSING & MANAGEMENT, VOLUME: 60, ISSUE: 2, PAGES: 103225
AUTHORS: Reina Couto, Marta; Roboredo Madeira, Mariana; Pereira Terra, Patricia; Silva Pereira, Carolina; Martins, Sandra ; Teixeira Santos, Luisa; Dora Pinho ; Dias, Andreia; Cordeiro, Goncalo; Dias, Claudia Camila ; Sarmento, Antonio ; Tavares, Margarida; Guimaraes, Joao T. ; Roncon Albuquerque, Roberto ; Paiva, Jose Artur ; Albino Teixeira, Antonio ; Sousa, Teresa ;
PUBLISHED: 2023, SOURCE: INFLAMMATION RESEARCH, VOLUME: 72, ISSUE: 3, PAGES: 475-491
AUTHORS: Fernanda S. Tonin; Fernando Fernandez Llimos ; Filipa Alves da Costa;
PUBLISHED: 2023, SOURCE: Encyclopedia of Evidence in Pharmaceutical Public Health and Health Services Research in Pharmacy, PAGES: 1-23
AUTHORS: Murray, Bridget; Smith, Sheree; Roberts, Nicola; José Miguel Padilha ; Sajnic, Andreja; Narsavage, Georgia; Christensen, Helle Marie; Axelsson, Malin; Carme, Hernandez; Poot, Betty; Kelly, Carol;
PUBLISHED: 2023, SOURCE: Annual congress of the European-Respiratory-Society (ERS) in EUROPEAN RESPIRATORY JOURNAL, VOLUME: 62
AUTHORS: Sousa, Maria Jose ; Rocha, Alvaro ;
PUBLISHED: 2023, SOURCE: EXPERT SYSTEMS, VOLUME: 41, ISSUE: 7
AUTHORS: Sepideh Pashami; Slawomir Nowaczyk; Yuantao Fan; Jakub Jakubowski; Nuno Paiva; Narjes Davari; Szymon Bobek; Samaneh Jamshidi; Hamid Sarmadi; Abdallah Alabdallah; Rita P Ribeiro ; Bruno Veloso ; Moamar Sayed Mouchaweh; Lala H Rajaoarisoa; Grzegorz J Nalepa; João Gama ;
PUBLISHED: 2023, SOURCE: CoRR, VOLUME: abs/2306.05120
AUTHORS: Costa, Barbara ; Nuno Filipe de Sousa Vale ;
PUBLISHED: 2023, SOURCE: INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, VOLUME: 24, ISSUE: 19, PAGES: 14631
AUTHORS: Santos, JV ; da Costa, JG; Costa, E; Almeida, S; Cima, J; Pita Barros, P;
PUBLISHED: 2023, SOURCE: JOURNAL OF PUBLIC HEALTH, VOLUME: 45, ISSUE: 1, PAGES: 47-56
AUTHORS: Sena, Marcela Matias; Rodrigues Barros, Maria Aline; Holanda, Samia Monteiro; Aquino, Priscila de Souza; Cardoso, Alexandrina ;
PUBLISHED: 2023, SOURCE: INTERNATIONAL JOURNAL OF GYNECOLOGY & OBSTETRICS, VOLUME: 161, ISSUE: 2, PAGES: 517-524
AUTHORS: Teresa Salazar; Miguel Fernandes; Helder Araújo; Pedro Henriques Abreu ;
PUBLISHED: 2023, SOURCE: Computational Science - ICCS 2023 - 23rd International Conference, Prague, Czech Republic, July 3-5, 2023, Proceedings, Part I, VOLUME: 14073, PAGES: 524-538
AUTHORS: Teresa Salazar; Miguel Fernandes; Helder Araújo; Pedro Henriques Abreu ;
PUBLISHED: 2023, SOURCE: 23rd International Conference on Computational Science, ICCS 2023 in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), VOLUME: 14073 LNCS, PAGES: 524-538
AUTHORS: João Coutinho-Almeida; Alexandrina Cardoso ; Ricardo Cruz-Correia; Pedro Pereira-Rodrigues;
PUBLISHED: 2023
AUTHORS: Maria Arminda Rodrigues Alves Pereira Nunes; Alexandrina Maria Ramos Cardoso ;
PUBLISHED: 2023, SOURCE: STUDIES IN HEALTH SCIENCES, VOLUME: 4, ISSUE: 1, PAGES: 201-212
AUTHORS: Salles, Rodrigo; Mendes, Jerome; Ribeiro, Rita P. ; Gama, Joao ;
PUBLISHED: 2023, SOURCE: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) in MACHINE LEARNING AND PRINCIPLES AND PRACTICE OF KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2022, PT I, VOLUME: 1752, PAGES: 55-70
AUTHORS: Davari, Narjes; Veloso, Bruno ; Ribeiro, Rita P. ; Gama, Joao ;
PUBLISHED: 2023, SOURCE: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) in MACHINE LEARNING AND PRINCIPLES AND PRACTICE OF KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2022, PT II, VOLUME: 1753, PAGES: 400-409
AUTHORS: Nunes, Ines ; Nicholson, Wanda; Theron, Gerhard;
PUBLISHED: 2023, SOURCE: INTERNATIONAL JOURNAL OF GYNECOLOGY & OBSTETRICS, VOLUME: 163, ISSUE: S2, PAGES: 21-33
AUTHORS: Pedro, Nicole; Brucato, Nicolas; Cavadas, Bruno; Lisant, Valentine; Camacho, Rui ; Kinipi, Christopher; Leavesley, Matthew; Pereira, Luisa; Ricaut, Francois Xavier;
PUBLISHED: 2023, SOURCE: MOLECULAR ECOLOGY, VOLUME: 32, ISSUE: 10, PAGES: 2551-2564