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TÍTULO: Improvement on Generative Adversarial Network for Targeted Drug Design
AUTORES: Santos, BP; Abbasi, M; Pereira, T; Ribeiro, B; Arrais, JP;
PUBLICAÇÃO: 2021, FONTE: 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2021 in ESANN 2021 Proceedings - 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
INDEXADO EM: Scopus CrossRef
NO MEU: ORCID
32
TÍTULO: Decay Momentum for Improving Federated Learning
AUTORES: Miguel Fernandes; Catarina Silva; Joel Arrais; Alberto Cardoso ; Bernardete Ribeiro ;
PUBLICAÇÃO: 2021, FONTE: 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2021 in 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2021, Online event (Bruges, Belgium), October 6-8, 2021
INDEXADO EM: Scopus DBLP CrossRef
NO MEU: ORCID
33
TÍTULO: Analysing Games for Health through Users' Opinion Mining
AUTORES: Santos, Renato; Arrais, Joel P.; Silva, Paula Alexandra;
PUBLICAÇÃO: 2021, FONTE: 34th IEEE International Symposium on Computer-Based Medical Systems (IEEE CBMS) in 2021 IEEE 34TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS), VOLUME: 2021-June
INDEXADO EM: Scopus WOS CrossRef: 1
NO MEU: ORCID
34
TÍTULO: CroP-Coordinated Panel visualization for biological networks analysis
AUTORES: Cruz, A; Machado, P ; Arrais, JP;
PUBLICAÇÃO: 2020, FONTE: Bioinformatics (Oxford, England), VOLUME: 36, NÚMERO: 4
INDEXADO EM: Scopus CrossRef: 3
NO MEU: ORCID
35
TÍTULO: NanoSen-AQM: From Sensors to Users
AUTORES: Lucas, P; Silva, J; Araujo, F; Silva, C ; Paulo Gil; Arrais, JP; Coutinho, D; Salgueiro, P; Rato, L ; Saias, J; Nogueira, V ; Alberto Cardoso ; Bernardete Ribeiro ;
PUBLICAÇÃO: 2020, FONTE: INTERNATIONAL JOURNAL OF ONLINE AND BIOMEDICAL ENGINEERING, VOLUME: 16, NÚMERO: 4
INDEXADO EM: Scopus WOS DBLP CrossRef: 3
NO MEU: ORCID
36
TÍTULO: Exploring a Siamese Neural Network Architecture for One-Shot Drug Discovery
AUTORES: Torres, L; Monteiro, N; Oliveira, J ; Arrais, J; Bernardete Ribeiro ;
PUBLICAÇÃO: 2020, FONTE: 20th IEEE International Conference on Bioinformatics and Bioengineering (BIBE) in 2020 IEEE 20TH INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOENGINEERING (BIBE 2020)
INDEXADO EM: Scopus WOS CrossRef: 6
NO MEU: ORCID
37
TÍTULO: Using a Novel Unbiased Dataset and Deep Learning Architectures to Predict Protein-Protein Interactions
AUTORES: Silva, L; Pereira, C; Arrais, JP;
PUBLICAÇÃO: 2020, FONTE: IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM) in 2020 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE
INDEXADO EM: Scopus WOS CrossRef: 1
NO MEU: ORCID
38
TÍTULO: Exploring Time-Series Through Force-Directed Timelines
AUTORES: Cruz, A; Arrais, JP; Machado, P ;
PUBLICAÇÃO: 2020, FONTE: 24th International Conference Information Visualisation (IV) in 2020 24TH INTERNATIONAL CONFERENCE INFORMATION VISUALISATION (IV 2020), VOLUME: 2020-September
INDEXADO EM: Scopus WOS CrossRef
NO MEU: ORCID
39
TÍTULO: End-to-end Deep Reinforcement Learning for Targeted Drug Generation
AUTORES: Tiago Oliveira Pereira; Maryam Abbasi; Bernardete Ribeiro ; Joel P Arrais;
PUBLICAÇÃO: 2020, FONTE: ICCBB 2020: 4th International Conference on Computational Biology and Bioinformatics, Bali Island, Indonesia, 27 December, 2021 - 29 December, 2020
INDEXADO EM: DBLP
40
TÍTULO: The impact of bioinformatics and machine learning in drug discovery  Full Text
AUTORES: Joel Arrais;
PUBLICAÇÃO: 2019, FONTE: EUROPEAN JOURNAL OF CLINICAL INVESTIGATION, VOLUME: 49
INDEXADO EM: WOS
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