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TITLE: Informative Classification of Capsule Endoscopy Videos Using Active Learning
AUTHORS: Filipe Fonseca; Beatriz Nunes; Marta Salgado; Augusto Silva; António Cunha ;
PUBLISHED: 2024, SOURCE: 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
INDEXED IN: Scopus CrossRef Unpaywall
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TITLE: Can Grapevine Leaf Water Potential Be Modelled from Physiological and Meteorological Variables? A Machine Learning Approach
AUTHORS: Miguel Damásio; Miguel Barbosa; João Deus; Eduardo Fernandes; André Leitão; Luís Albino; Filipe Fonseca; José Silvestre;
PUBLISHED: 2023, SOURCE: Plants, VOLUME: 12, ISSUE: 24
INDEXED IN: Scopus CrossRef: 1
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TITLE: Abnormality classification in small datasets of capsule endoscopy images
AUTHORS: Fonseca, F; Nunes, B; Salgado, M; Cunha, A ;
PUBLISHED: 2021, SOURCE: 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
INDEXED IN: Scopus CrossRef: 6
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