1
TÍTULO: Informative Classification of Capsule Endoscopy Videos Using Active Learning
AUTORES: Filipe Fonseca; Beatriz Nunes; Marta Salgado; Augusto Silva; António Cunha ;
PUBLICAÇÃO: 2024, FONTE: 12th International Conference on Mobile Communication and Healthcare, MobiHealth 2023 in Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, VOLUME: 578 LNICST
INDEXADO EM: Scopus CrossRef Unpaywall
NO MEU: ORCID
2
TÍTULO: Can Grapevine Leaf Water Potential Be Modelled from Physiological and Meteorological Variables? A Machine Learning Approach
AUTORES: Miguel Damásio; Miguel Barbosa; João Deus; Eduardo Fernandes; André Leitão; Luís Albino; Filipe Fonseca; José Silvestre;
PUBLICAÇÃO: 2023, FONTE: Plants, VOLUME: 12, NÚMERO: 24
INDEXADO EM: Scopus CrossRef: 1
NO MEU: ORCID
3
TÍTULO: Abnormality classification in small datasets of capsule endoscopy images
AUTORES: Fonseca, F; Nunes, B; Salgado, M; Cunha, A ;
PUBLICAÇÃO: 2021, FONTE: 2021 International Conference on ENTERprise Information Systems, CENTERIS 2021 / ProjMAN 2021 - International Conference on Project MANagement / HCist 2021 and International Conference on Health and Social Care Information Systems and Technologies 2021 in Procedia Computer Science, VOLUME: 196
INDEXADO EM: Scopus CrossRef: 6
NO MEU: ORCID