publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

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