João Filipe Silva Correia
AuthID: R-00M-2FY
1
TITLE: Deepmol: an automated machine and deep learning framework for computational chemistry Full Text
AUTHORS: Correia, Joao; Capela, Joao; Rocha, Miguel ;
PUBLISHED: 2024, SOURCE: JOURNAL OF CHEMINFORMATICS, VOLUME: 16, ISSUE: 1
AUTHORS: Correia, Joao; Capela, Joao; Rocha, Miguel ;
PUBLISHED: 2024, SOURCE: JOURNAL OF CHEMINFORMATICS, VOLUME: 16, ISSUE: 1
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TITLE: Combining Evolutionary Algorithms With Reaction Rules Towards Focused Molecular Design
AUTHORS: Correia, Joao; Pereira, Vitor ; Rocha, Miguel ;
PUBLISHED: 2023, SOURCE: Genetic and Evolutionary Computation Conference (GECCO) in PROCEEDINGS OF THE 2023 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE, GECCO 2023
AUTHORS: Correia, Joao; Pereira, Vitor ; Rocha, Miguel ;
PUBLISHED: 2023, SOURCE: Genetic and Evolutionary Computation Conference (GECCO) in PROCEEDINGS OF THE 2023 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE, GECCO 2023
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TITLE: A Comparison of Different Compound Representations for Drug Sensitivity Prediction
AUTHORS: Baptista, Delora; Correia, Joao; Pereira, Bruno; Rocha, Miguel ;
PUBLISHED: 2022, SOURCE: 15th International Conference on Practical Applications of Computational Biology and Bioinformatics (PACBB) in PRACTICAL APPLICATIONS OF COMPUTATIONAL BIOLOGY & BIOINFORMATICS, PACBB 2021, VOLUME: 325
AUTHORS: Baptista, Delora; Correia, Joao; Pereira, Bruno; Rocha, Miguel ;
PUBLISHED: 2022, SOURCE: 15th International Conference on Practical Applications of Computational Biology and Bioinformatics (PACBB) in PRACTICAL APPLICATIONS OF COMPUTATIONAL BIOLOGY & BIOINFORMATICS, PACBB 2021, VOLUME: 325
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TITLE: Evaluating molecular representations in machine learning models for drug response prediction and interpretability
AUTHORS: Baptista, Delora; Correia, Joao; Pereira, Bruno; Rocha, Miguel ;
PUBLISHED: 2022, SOURCE: JOURNAL OF INTEGRATIVE BIOINFORMATICS, VOLUME: 19, ISSUE: 3
AUTHORS: Baptista, Delora; Correia, Joao; Pereira, Bruno; Rocha, Miguel ;
PUBLISHED: 2022, SOURCE: JOURNAL OF INTEGRATIVE BIOINFORMATICS, VOLUME: 19, ISSUE: 3
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TITLE: Predicting the number of biochemical transformations needed to synthesize a compound
AUTHORS: Correia, Joao; Carreira, Rafael; Pereira, Vitor ; Rocha, Miguel ;
PUBLISHED: 2022, SOURCE: IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) / IEEE World Congress on Computational Intelligence (IEEE WCCI) / International Joint Conference on Neural Networks (IJCNN) / IEEE Congress on Evolutionary Computation (IEEE CEC) in 2022 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), VOLUME: 2022-July
AUTHORS: Correia, Joao; Carreira, Rafael; Pereira, Vitor ; Rocha, Miguel ;
PUBLISHED: 2022, SOURCE: IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) / IEEE World Congress on Computational Intelligence (IEEE WCCI) / International Joint Conference on Neural Networks (IJCNN) / IEEE Congress on Evolutionary Computation (IEEE CEC) in 2022 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), VOLUME: 2022-July
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TITLE: Development of Deep Learning approaches to predict relationships between chemical structures and sweetness
AUTHORS: Capela, Joao; Correia, Joao; Pereira, Vitor ; Rocha, Miguel ;
PUBLISHED: 2022, SOURCE: IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) / IEEE World Congress on Computational Intelligence (IEEE WCCI) / International Joint Conference on Neural Networks (IJCNN) / IEEE Congress on Evolutionary Computation (IEEE CEC) in 2022 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), VOLUME: 2022-July
AUTHORS: Capela, Joao; Correia, Joao; Pereira, Vitor ; Rocha, Miguel ;
PUBLISHED: 2022, SOURCE: IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) / IEEE World Congress on Computational Intelligence (IEEE WCCI) / International Joint Conference on Neural Networks (IJCNN) / IEEE Congress on Evolutionary Computation (IEEE CEC) in 2022 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), VOLUME: 2022-July
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CIÊNCIAVITAE7
TITLE: Combining Multi-objective Evolutionary Algorithms with Deep Generative Models Towards Focused Molecular Design
AUTHORS: Sousa, T; Correia, J; Pereira, V ; Rocha, M ;
PUBLISHED: 2021, SOURCE: 24th International Conference on the Applications of Evolutionary Computation, EvoApplications 2021 held as Part of EvoStar 2021 in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), VOLUME: 12694 LNCS
AUTHORS: Sousa, T; Correia, J; Pereira, V ; Rocha, M ;
PUBLISHED: 2021, SOURCE: 24th International Conference on the Applications of Evolutionary Computation, EvoApplications 2021 held as Part of EvoStar 2021 in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), VOLUME: 12694 LNCS
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TITLE: Generative Deep Learning for Targeted Compound Design Full Text
AUTHORS: Sousa, T; Correia, J; Pereira, V ; Rocha, M ;
PUBLISHED: 2021, SOURCE: JOURNAL OF CHEMICAL INFORMATION AND MODELING, VOLUME: 61, ISSUE: 11
AUTHORS: Sousa, T; Correia, J; Pereira, V ; Rocha, M ;
PUBLISHED: 2021, SOURCE: JOURNAL OF CHEMICAL INFORMATION AND MODELING, VOLUME: 61, ISSUE: 11
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TITLE: Artificial Intelligence in Biological Activity Prediction
AUTHORS: Correia, J; Resende, T; Baptista, D; Rocha, M ;
PUBLISHED: 2020, SOURCE: 13th International Conference on Practical Applications of Computational Biology and Bioinformatics (PACBB) in PRACTICAL APPLICATIONS OF COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, VOLUME: 1005
AUTHORS: Correia, J; Resende, T; Baptista, D; Rocha, M ;
PUBLISHED: 2020, SOURCE: 13th International Conference on Practical Applications of Computational Biology and Bioinformatics (PACBB) in PRACTICAL APPLICATIONS OF COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, VOLUME: 1005
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