Publication de la collection HAL LS2N-MEFORBIO pour 2021
Revues internationales avec comité de lecture (ART_INT)
- [1] A. Ortega, J. Fierrez, A. Morales, Z. Wang, M. de La Cruz, C. Alonso, T. Ribeiro. Symbolic AI for XAI : Evaluating LFIT Inductive Programming for Explaining Biases in Machine Learning. In Computers ; éd. MDPI, 2021, vol. 10, num. 11.https://hal.science/hal-03542777
- [2] T. Ribeiro, M. Folschette, M. Magnin, K. Inoue. Learning any memory-less discrete semantics for dynamical systems represented by logic programs. In Machine Learning ; éd. Springer Verlag, 2021.https://hal.science/hal-02925942v5
- [3] T. Ribeiro, A. Ortega, J. Fierrez, A. Morales, Z. Wang. Symbolic AI for XAI: Evaluating LFIT Inductive Programming for Fair and Explainable Automatic Recruitment. In 2021 IEEE Winter Conference on Applications of Computer Vision Workshops (WACVW), janvier 2021, Waikola, états-Unis.https://hal.science/hal-03542791
- [4] S. Buchet, F. Carbone, M. Magnin, M. Ménager, O. Roux. Inference of Gene Networks from Single Cell Data through Quantified Inductive Logic Programming. In CSBio2021, octobre 2021, FULLY VIRTUAL, Thaïlande.https://hal.science/hal-03468746
- [5] O. Iken, M. Folschette, T. Ribeiro. Automatic Modeling of Dynamical Interactions Within Marine Ecosystems. In 1st International Joint Conference on Learning & Reasoning, octobre 2021, (virtual), Grèce.https://hal.science/hal-03347033
- [6] T. Ribeiro, M. Folschette, M. Magnin, K. Inoue. Polynomial Algorithm For Learning From Interpretation Transition. In 1st International Joint Conference on Learning & Reasoning, octobre 2021, (virtual), Grèce.https://hal.science/hal-03347026
