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TÍTULO: Machine learning applications in sheet metal constitutive Modelling: A review  Full Text
AUTORES: Armando Marques; Tomás Parreira; André G Pereira; Bernardete Ribeiro ; Pedro Prates;
PUBLICAÇÃO: 2024, FONTE: INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES, VOLUME: 303
INDEXADO EM: Scopus WOS
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TÍTULO: Multi-scale cross-attention transformer via graph embeddings for few-shot molecular property prediction  Full Text
AUTORES: Torres, Luis H. M.; Bernardete Ribeiro ; Arrais, Joel P.;
PUBLICAÇÃO: 2024, FONTE: APPLIED SOFT COMPUTING, VOLUME: 153
INDEXADO EM: Scopus WOS DBLP
NO MEU: DBLP
13
TÍTULO: Predicting drug activity against cancer through genomic profiles and SMILES  Full Text
AUTORES: Abbasi, Maryam; Carvalho, Filipa G.; Bernardete Ribeiro ; Arrais, Joel P.;
PUBLICAÇÃO: 2024, FONTE: ARTIFICIAL INTELLIGENCE IN MEDICINE, VOLUME: 150
INDEXADO EM: Scopus WOS DBLP
NO MEU: DBLP
14
TÍTULO: SecFL - Secure Federated Learning Framework for predicting defects in sheet metal forming under variability  Full Text
AUTORES: Dib, Mario Alberto da Silveira; Prates, Pedro; Bernardete Ribeiro ;
PUBLICAÇÃO: 2024, FONTE: EXPERT SYSTEMS WITH APPLICATIONS, VOLUME: 235
INDEXADO EM: Scopus WOS CrossRef
NO MEU: ORCID
15
TÍTULO: SecFL - Secure Federated Learning Framework for predicting defects in sheet metal forming under variability
AUTORES: Mario Dib; Pedro A Prates; Bernardete Ribeiro ;
PUBLICAÇÃO: 2024, FONTE: Expert Syst. Appl., VOLUME: 235
INDEXADO EM: DBLP
NO MEU: DBLP
16
TÍTULO: The Significance of Latent Data Divergence in Predicting System Degradation
AUTORES: Miguel Fernandes; Catarina Silva; Alberto Cardoso; Bernardete Ribeiro ;
PUBLICAÇÃO: 2024, FONTE: CoRR, VOLUME: abs/2406.12914
INDEXADO EM: DBLP
NO MEU: DBLP
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TÍTULO: A human-centric approach to aid in assessing maintenance from the sustainable manufacturing perspective
AUTORES: José Carlos Almeida; Bernardete Ribeiro ; Alberto Cardoso ;
PUBLICAÇÃO: 2023, FONTE: 14th International Conference on Ambient Systems, Networks and Technologies Networks, ANT 2023 and The 6th International Conference on Emerging Data and Industry 4.0, EDI40 2023 in The 14th International Conference on Ambient Systems, Networks and Technologies (ANT 2023) / The 6th International Conference on Emerging Data and Industry 4.0 (EDI40 2023) / Affiliated Workshops, March 15-17, 2023, Leuven, Belgium, VOLUME: 220
INDEXADO EM: Scopus DBLP
NO MEU: DBLP
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TÍTULO: Convolutional Transformer via Graph Embeddings for Few-shot Toxicity and Side Effect Prediction
AUTORES: Luis H M Torres; Bernardete Ribeiro ; Joel Arrais;
PUBLICAÇÃO: 2023, FONTE: 31st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2023, Bruges, Belgium, October 4-6, 2023
INDEXADO EM: DBLP
NO MEU: DBLP
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TÍTULO: Edge Computing with Low-Cost Cameras for Object Detection in Smart Farming
AUTORES: Bruno Cardoso; Catarina Silva ; Joana Costa; Bernardete Ribeiro ;
PUBLICAÇÃO: 2023, FONTE: 3rd International Conference on Intelligent Edge Processing in the IoT Era, Edge-IoT 2022, and the 4th International Conference on Smart Governance for Sustainable Smart Cities, SmartGov 2022 in Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, VOLUME: 510 LNICST
INDEXADO EM: Scopus CrossRef: 1
NO MEU: ORCID
20
TÍTULO: Enhancing Pest Detection Models Through Improved Annotations
AUTORES: Costa, Dinis; Silva, Catarina ; Costa, Joana; Bernardete Ribeiro ;
PUBLICAÇÃO: 2023, FONTE: 22nd EPIA Conference on Artificial Intelligence (EPIA) in PROGRESS IN ARTIFICIAL INTELLIGENCE, EPIA 2023, PT II, VOLUME: 14116
INDEXADO EM: Scopus WOS CrossRef: 3
NO MEU: ORCID
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