Jorge Sampaio Silveira Júnior

    Name: Jorge Sampaio Silveira Júnior, M.Sc.
    Position: Ph.D. Student
    Email: jorge.silveira@isr.uc.pt








    Supervised by:
    Jérôme Mendes, External Collaborator



    Journals

    J. Alvarinhas Pereira, Jérôme Mendes, Jorge Sampaio Silveira Júnior, C. Viegas, J. Ruivo Carvalho Paulo, Metaheuristic algorithms for calibration of two-dimensional wildfire spread prediction model, Engineering Applications of Artificial Intelligence, vol. 135. , p. 108928, 2024
    Jorge Sampaio Silveira Júnior, Carlos Gaspar, Jérôme Mendes, C. Premebida, Assessing interpretability of data-driven fuzzy models: Application in industrial regression problems, Expert Systems, 2024

    Book Sections

    Jorge Sampaio Silveira Júnior, Jérôme Mendes, Francisco Souza, C. Premebida, Explainable Deep Fuzzy Systems Applied to Sulfur Recovery Unit, Studies in Big Data, Volume 155, Pages 27 - 54, 2024

    Journals

    Jorge Sampaio Silveira Júnior, Jérôme Mendes, Francisco Souza, C. Premebida, Survey on Deep Fuzzy Systems in regression applications: a view on interpretability, International Journal of Fuzzy Systems, 1-22, 2023
    https://doi.org/10.1007/s40815-023-01544-8

    Journals

    Jorge Sampaio Silveira Júnior, J. Ruivo Carvalho Paulo, Jérôme Mendes, Daniela Alves, L. Ribeiro, C. Viegas, Automatic Forest Fire Danger Rating Calibration: Exploring Clustering Techniques For Regionally Customizable Fire Danger Classification, Expert Systems With Applications, 193:116380, 2022
    https://doi.org/10.1016/j.eswa.2021.116380
    J. Alvarinhas Pereira, Jérôme Mendes, Jorge Sampaio Silveira Júnior, C. Viegas, J. Ruivo Carvalho Paulo, A Review of Genetic Algorithm Approaches for Wildfire Spread Prediction Calibration, Mathematics, 10(3), 300, 2022
    https://doi.org/10.3390/math10030300

    Conferences

    Jorge Sampaio Silveira Júnior, Jérôme Mendes, R. Araújo, J. Ruivo Carvalho Paulo, C. Premebida, 19th IEEE International Conference on Industrial Informatics, Novelty Detection for Iterative Learning of MIMO Fuzzy Systems (BEST PAPER AWARD), Palma, Spain, 2021
    Jorge Sampaio Silveira Júnior, Jérôme Mendes, R. Araújo, J. Ruivo Carvalho Paulo, C. Premebida, Novelty Detection for Iterative Learning of MIMO Fuzzy Systems, Proc. IEEE 19th International Conference on Industrial Informatics (INDIN 2021), pp. 1-7, Palma de Mallorca, Spain, 2021
    https://doi.org/10.1109/INDIN45523.2021.9557354