Joel Perdiz Arrais
AuthID: R-000-7M7
21
TÃTULO: Multivariate Data Exploration Through Coordinated Views
AUTORES: Cruz, Antonio; Arrais, Joel P.; Machado, Penousal;
PUBLICAÇÃO: 2022, FONTE: IEEE ACCESS, VOLUME: 10
AUTORES: Cruz, Antonio; Arrais, Joel P.; Machado, Penousal;
PUBLICAÇÃO: 2022, FONTE: IEEE ACCESS, VOLUME: 10
22
TÃTULO: Deep Model for Anticancer Drug Response through Genomic Profiles and Compound Structures
AUTORES: Carvalho, Filipa G.; Abbasi, Maryam; Bernardete Ribeiro ; Arrais, Joel P.;
PUBLICAÇÃO: 2022, FONTE: 35th IEEE International Symposium on Computer-Based Medical Systems (CBMS) in 2022 IEEE 35TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS)
AUTORES: Carvalho, Filipa G.; Abbasi, Maryam; Bernardete Ribeiro ; Arrais, Joel P.;
PUBLICAÇÃO: 2022, FONTE: 35th IEEE International Symposium on Computer-Based Medical Systems (CBMS) in 2022 IEEE 35TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS)
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TÃTULO: Diversity oriented Deep Reinforcement Learning for targeted molecule generation
AUTORES: Pereira, T; Abbasi, M; Bernardete Ribeiro ; Arrais, JP;
PUBLICAÇÃO: 2021, FONTE: JOURNAL OF CHEMINFORMATICS, VOLUME: 13, NÚMERO: 1
AUTORES: Pereira, T; Abbasi, M; Bernardete Ribeiro ; Arrais, JP;
PUBLICAÇÃO: 2021, FONTE: JOURNAL OF CHEMINFORMATICS, VOLUME: 13, NÚMERO: 1
24
TÃTULO: Diversity oriented Deep Reinforcement Learning for targeted molecule generation
AUTORES: Tiago Pereira ; Maryam Abbasi; Bernardete Ribeiro ; Joel P Arrais;
PUBLICAÇÃO: 2021, FONTE: J. Cheminformatics, VOLUME: 13, NÚMERO: 1
AUTORES: Tiago Pereira ; Maryam Abbasi; Bernardete Ribeiro ; Joel P Arrais;
PUBLICAÇÃO: 2021, FONTE: J. Cheminformatics, VOLUME: 13, NÚMERO: 1
25
TÃTULO: Optimizing Recurrent Neural Network Architectures for De Novo Drug Design
AUTORES: Santos, Beatriz P.; Abbasi, Maryam; Pereira, Tiago ; Bernardete Ribeiro ; Arrais, Joel P.;
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
AUTORES: Santos, Beatriz P.; Abbasi, Maryam; Pereira, Tiago ; Bernardete Ribeiro ; Arrais, Joel P.;
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
26
TÃTULO: Optimizing blood-brain barrier permeation through deep reinforcement learning for de novo drug design
AUTORES: Pereira, T ; Abbasi, M; Oliveira, JL ; Bernardete Ribeiro ; Arrais, J;
PUBLICAÇÃO: 2021, FONTE: Biennial Joint Meeting of 29th Annual Conference on Intelligent Systems for Molecular Biology (ISMB) / 20th European Conference on Computational biology (ECCB) in BIOINFORMATICS, VOLUME: 37, NÚMERO: Supplement
AUTORES: Pereira, T ; Abbasi, M; Oliveira, JL ; Bernardete Ribeiro ; Arrais, J;
PUBLICAÇÃO: 2021, FONTE: Biennial Joint Meeting of 29th Annual Conference on Intelligent Systems for Molecular Biology (ISMB) / 20th European Conference on Computational biology (ECCB) in BIOINFORMATICS, VOLUME: 37, NÚMERO: Supplement
27
TÃTULO: Drug-Target Interaction Prediction: End-to-End Deep Learning Approach
AUTORES: Monteiro, NRC; Bernardete Ribeiro ; Arrais, JP;
PUBLICAÇÃO: 2021, FONTE: IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, VOLUME: 18, NÚMERO: 6
AUTORES: Monteiro, NRC; Bernardete Ribeiro ; Arrais, JP;
PUBLICAÇÃO: 2021, FONTE: IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, VOLUME: 18, NÚMERO: 6
28
TÃTULO: Multiobjective Reinforcement Learning in Optimized Drug Design
AUTORES: Maryam Abbasi; Tiago Pereira; Beatriz P Santos; Bernardete Ribeiro ; Joel Arrais;
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
AUTORES: Maryam Abbasi; Tiago Pereira; Beatriz P Santos; Bernardete Ribeiro ; Joel Arrais;
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
29
TÃTULO: 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
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
30
TÃTULO: 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
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
