Jinfeng Zhong

Orcid: 0000-0001-9267-590X

According to our database1, Jinfeng Zhong authored at least 17 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Ontology-based crisis simulation system for population sheltering management.
Simul., 2024

Fuzzy synthetic method for evaluating explanations in recommender systems.
CoRR, 2024

When factorization meets argumentation: towards argumentative explanations.
CoRR, 2024

Distribution uniformity improvement methods of a large discharge rate disc spreader for UAV fertilizer application.
Comput. Electron. Agric., 2024

Système de simulations de crises, basé sur une ontologie, pour la mise à l'abri des populations.
Proceedings of the Actes du 42ème Congrès INFORSID, Nancy, France, May 28-31, 2024., 2024

2023
Generality and explainability in recommender systems. (Généricité et explicabilité dans les systèmes de recommandation).
PhD thesis, 2023

Context-aware feature attribution through argumentation.
CoRR, 2023

Context-aware explainable recommendations over knowledge graphs.
CoRR, 2023

CORec-Cri: How Collaborative and Social Technologies Can Help to Contextualize Crises?
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Constraint-based Recommender System for Crisis Management Simulations.
Proceedings of the 56th Hawaii International Conference on System Sciences, 2023

Système de recommandations basé sur les contraintes pour les simulations de gestion de crise.
Proceedings of the 34es Journées francophones d'Ingénierie des Connaissances, 2023

2022
Towards Better Representation of Context Into Recommender Systems.
Int. J. Knowl. Based Organ., 2022

Towards improving user-recommender systems interactions.
Proceedings of the IEEE/SICE International Symposium on System Integration, 2022

Shap-enhanced counterfactual explanations for recommendations.
Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

Amélioration des explications contrefactuelles pour les recommandations à l'aide de SHAP.
Proceedings of the Business Intelligence & Big Data, 2022

A<sup>3</sup>R: Argumentative explanations for recommendations.
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

2021
AI: To interpret or to explain?
Proceedings of the Actes du XXXIXème Congrès INFORSID, Dijon, France, June 1-4, 2021., 2021


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