Laboratory of Artificial Intelligence and Decision Support (LIAAD)
Laboratorio de Inteligência Artificial e Apoio À Decisão
Inesc Technology and Science (INESC TEC) :: CS: Computer Science
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: 2305
131 Team MembersFilters -> Year: 2024
AUTHORS: Luis Moreira Matias ; Joao Gama ; Joao Mendes Moreira ;
PUBLISHED: 2016, SOURCE: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD) in MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2016, PT III, VOLUME: 9853, PAGES: 96-111
AUTHORS: Nuno Moniz ; Luís Torgo ; João Vinagre ;
PUBLISHED: 2016, SOURCE: CoRR, VOLUME: abs/1612.06136
AUTHORS: Fabiola S F Pereira; Sandra de Amo; 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: Rita P Ribeiro ; Ricardo Oliveira; Joao Gama ;
PUBLISHED: 2016, SOURCE: 15th Ibero-American Conference on Artificial Intelligence (AI) in ADVANCES IN ARTIFICIAL INTELLIGENCE - IBERAMIA 2016, VOLUME: 10022, PAGES: 189-200
AUTHORS: Forte, AC ; Brazdil, PB ;
PUBLISHED: 2016, SOURCE: 12th International Conference on the Computational Processing of Portuguese (PROPOR) in COMPUTATIONAL PROCESSING OF THE PORTUGUESE LANGUAGE (PROPOR 2016), VOLUME: 9727, PAGES: 74-85
AUTHORS: Lluís Alsedà i Soler; Jim M Cushing; Saber Elaydi; Alberto A Pinto ;
PUBLISHED: 2016, SOURCE: Springer Proceedings in Mathematics & Statistics
AUTHORS: Fernanda Figueiredo; Adelaide Figueiredo ; M.I Gomes;
PUBLISHED: 2016
AUTHORS: Cordeiro, M ; Sarmento, RP ; Gama, J ;
PUBLISHED: 2016, SOURCE: SOCIAL NETWORK ANALYSIS AND MINING, VOLUME: 6, ISSUE: 1, PAGES: 15:1-15:20
AUTHORS: Maria Rocha Sousa ; Joao Gama ; Elisio Brandao ;
PUBLISHED: 2016, SOURCE: JOURNAL OF RISK MODEL VALIDATION, VOLUME: 10, ISSUE: 1, PAGES: 59-80
AUTHORS: Ana Rocha; Clemente Sousa ; Paulo Teles ; Augusto Coelho; Eva Xavier;
PUBLISHED: 2016, SOURCE: KIDNEY & BLOOD PRESSURE RESEARCH, VOLUME: 41, ISSUE: 2, PAGES: 168-174
AUTHORS: Salisu Mamman Abdulrahman ; Pavel Brazdil ;
PUBLISHED: 2016, SOURCE: Proceedings of the 2016 Workshop on Automatic Machine Learning, AutoML 2016, co-located with 33rd International Conference on Machine Learning (ICML 2016), New York City, NY, USA, June 24, 2016, VOLUME: 64, PAGES: 1-10
AUTHORS: Nuno Moniz ; Francisco Louca; Marcia Oliveira ; Renato Soeiro ;
PUBLISHED: 2016, SOURCE: SOCIAL NETWORK ANALYSIS AND MINING, VOLUME: 6, ISSUE: 1, PAGES: 43:1-43:19
AUTHORS: Pinhão, S; Poínhos, R ; Franchini, B ; Afonso, C ; Teixeira, VH ; Moreira, P ; Paz Mendes Oliveira, BM ; Vaz de Almeida, MD; Flora Correia ;
PUBLISHED: 2016, SOURCE: Revista Portuguesa de Saude Publica, VOLUME: 34, ISSUE: 3, PAGES: 220-235
AUTHORS: Hadi Fanaee T ; Joao Gama ;
PUBLISHED: 2016, SOURCE: NEUROCOMPUTING, VOLUME: 203, PAGES: 22-33
AUTHORS: Shazia Tabassum ; 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: 213-225
AUTHORS: Fabiola S F Pereira ; Sandra de Amo; João Gama ;
PUBLISHED: 2016, SOURCE: IEEE 17th International Conference on Mobile Data Management, MDM 2016, Porto, Portugal, June 13-16, 2016 - Workshops, PAGES: 43-48
AUTHORS: Jorge Oliveira ; Bruna Cardoso; Miguel T Coimbra ;
PUBLISHED: 2016, SOURCE: 43rd Computing in Cardiology Conference (CinC) in 2016 COMPUTING IN CARDIOLOGY CONFERENCE (CINC), VOL 43, VOLUME: 43, PAGES: 193-196
AUTHORS: Mario Bessa ; Sergio Dias; Alberto A Pinto ;
PUBLISHED: 2016, SOURCE: PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY, VOLUME: 144, ISSUE: 9, PAGES: 3757-3766
AUTHORS: Bruno Veloso ; Fernando Meireles; Benedita Malheiro ; Juan Carlos Burguillo;
PUBLISHED: 2016, SOURCE: Developing Interoperable and Federated Cloud Architecture, PAGES: 252-280
AUTHORS: Sarmento Dias, M; Santos Araujo, C ; Poinhos, R ; Oliveira, B ; Sousa, MJ; Silva, LS; Silva, IS; Flora Correia ; Pestana, M ;
PUBLISHED: 2016, SOURCE: CLINICAL NEPHROLOGY, VOLUME: 85, ISSUE: 3, PAGES: 135-141