TabSRA: An Attention based Self-Explainable Model for Tabular Learning. - Kodjo Mawuena Amekoe; Mohamed Djallel Dilmi; Hanene Azzag; Zaineb Chelly Dagdia; Mustapha Lebbah; Gregoire Jaffre (ESANN, 2023)

A New Class of Intelligible Models for Tabular Learning. - Kodjo Mawuena Amekoe; Hanane Azzag; Mustapha Lebbah; Zaineb Chelly Dagdia; Gregoire Jaffre (PKDD/ECML Workshops (3), 2023)

Self-Reinforcement Attention Mechanism For Tabular Learning. - Kodjo Mawuena Amekoe; Mohamed Djallel Dilmi; Hanene Azzag; Mustapha Lebbah; Zaineb Chelly Dagdia; Gregoire Jaffre (CoRR, 2023)

Evaluating the Efficacy of Instance Incremental vs. Batch Learning in Delayed Label Environments: An Empirical Study on Tabular Data Streaming for Fraud Detection. - Kodjo Mawuena Amekoe; Mustapha Lebbah; Gregoire Jaffre; Hanene Azzag; Zaineb Chelly Dagdia (CoRR, 2024)

Exploring accuracy and interpretability trade-off in tabular learning with novel attention-based models. - Kodjo Mawuena Amekoe; Hanane Azzag; Zaineb Chelly Dagdia; Mustapha Lebbah; Gregoire Jaffre (Neural Comput. Appl., 2024)