Published in Applied Soft Computing, 2025
Recommended citation: Zhong, J. and Negre, E. (2025). Argumentation meets matrix factorization: A dual perspective for explainable recommendations. Applied Soft Computing
Published in Expert Systems with Applications, 2025
Recommended citation: Zhang, H. and Zhong, J. (2025). Efficient and Effective Counterfactual Explanations for Random Forests. Expert Systems with Applications
Published in Simulation: Transactions of the Society for Modeling and Simulation International, 2023
Recommended citation: Zhong, J., Le Ngoc, L., Negre, E., and Abel, M.-H. (2023). Ontology-based crisis simulation system for population sheltering management. SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL
Published in CARSs Workshop at Recsys, 2023
Recommended citation: Zhong, J. and Negre, E. (2023). Context-aware feature attribution through argumentation CARSs Workshop at Recsys 2023
Published in Proceedings of SMC, 2023
Recommended citation: Le Ngoc, L., Zhong, J., Negre, E., and Abel, M.-H. Corec-cri: How collaborative and social technologies can help to contextualize crises? To appear in SMC 2023.
Published in Proceedings of HICSS, 2023
Recommended citation: Le Ngoc, L., Zhong, J., Negre, E., and Abel, M.-H. Constraint-based recommender system for crisis management simulations. In The 56th Hawaii International Conference on System Sciences, pages 1778–1789.
Published in Proceedings DSAA, 2022
Recommended citation: Zhong, J. and Negre, E. $A^3R$: Argumentative explanations for recommendations. In 2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA), pages 1–9. IEEE.
Published in Proceedings SAC, 2022
Recommended citation: Zhong, J. and Negre, E. Shap-enhanced counterfactual explanations for recommendations. In Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing, pages 1365–1372.
Published in International Journal of Knowledge-Based Organizations (IJKBO), 2022
Recommended citation: Zhong, J. and Negre, E. Towards better representation of context into recommender systems. International Journal of Knowledge-Based Organizations (IJKBO), 12(2):1–12.
Published in Proceedings in SII, 2022
Recommended citation: Zhong, J. and Negre, E. Towards improving user-recommender systems interactions. In 2022 IEEE/SICE International Symposium on System Integration (SII), pages 816–820. IEEE.
Published in Proceedings in ICDLAIR, 2021
Recommended citation: Zhong, J. and Negre, E. Context-aware explanations in recommender systems. In International Conference on Deep Learning, Artificial Intelligence and Robotics, pages 76–85. Springer.
Published in Proceedings in INFORSID, 2021
Recommended citation: Zhong, J. and Negre, E. (2021). Ai: To interpret or to explain? In Congrès Inforsid (INFormatique des ORganisations et Systèmes d’Information et de Décision), pages 149 - 164.