Fares Grina

Université d'Artois, LGI2A. Béthune, France. +33(0)7 84 79 96 50

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Hi!

I’m Fares Grina, a final-year PhD student co-advised by Professor Eric Lefevre at the University of Artois, France, and Professor Zied ELouedi at the University of Tunis (ISG), Tunisia. My research focuses on using uncertainty modeling to address imbalanced machine learning problems.

Prior to pursuing my PhD, I earned my bachelor’s and master’s degrees in Computer Science for Decision Making from the University of Tunis (Institut Supérieur de Gestion de Tunis) in Tunisia.

More broadly, I am interested in developing algorithms for reliable and trustworthy machine learning, with a particular focus on generative models, uncertainty estimation, and explainable AI.

Get in touch at grina.fares2@gmail.com

news

Sep 21, 2023 We presented our paper “Evidential Generative Adversarial Networks for handling imbalanced learning” at ECSQARU in Arras, France.

selected publications

2023

  1. ECSQARU
    Evidential Generative Adversarial Networks for handling imbalanced learning
    Fares Grina, Zied Elouedi, and Eric Lefèvre
    In Symbolic and Quantitative Approaches to Reasoning with Uncertainty: 17th European Conference, ECSQARU 2023, Arras, France, September 19–22, 2023, Proceedings 17, 2023
    PDF Code
  2. IJAR
    Re-sampling of multi-class imbalanced data using belief function theory and ensemble learning
    Fares Grina, Zied Elouedi, and Eric Lefevre
    International Journal of Approximate Reasoning, 2023
    HTML PDF

2022

  1. SUM
    Learning from Imbalanced Data Using an Evidential Undersampling-Based Ensemble
    Fares Grina, Zied Elouedi, and Eric Lefevre
    In Scalable Uncertainty Management: 15th International Conference, SUM 2022, Paris, France, October 17–19, 2022, Proceedings, 2022
    HTML PDF
  2. LFA
    Déséquilibre multi-classes: une approche évidentielle de rééchantillonnage hybride
    Fares Grina, Zied Elouedi, and Eric Lefevre
    In 31e Rencontres Francophones sur la Logique Floue et ses Applications, LFA’2022, 2022
    HTML PDF
  3. IPMU
    Evidential Hybrid Re-sampling for Multi-class Imbalanced Data
    Fares Grina, Zied Elouedi, and Eric Lefevre
    In Information Processing and Management of Uncertainty in Knowledge-Based Systems: 19th International Conference, IPMU 2022, Milan, Italy, July 11–15, 2022, Proceedings, Part II, 2022
    HTML PDF

2021

  1. ECSQARU
    Uncertainty-aware resampling method for imbalanced classification using evidence theory
    Fares Grina, Zied Elouedi, and Eric Lefèvre
    In Symbolic and Quantitative Approaches to Reasoning with Uncertainty: 16th European Conference, ECSQARU 2021, Prague, Czech Republic, September 21–24, 2021, Proceedings 16, 2021
    HTML PDF
  2. MDAI
    Evidential Undersampling Approach for Imbalanced Datasets with Class-Overlapping and Noise
    Fares Grina, Zied Elouedi, and Eric Lefevre
    In International Conference on Modeling Decisions for Artificial Intelligence, 2021
    HTML PDF