Tuan-anh VU Ingénieur
| GI - Génie Informatique | UTeam
Travaux en cours
1. Vu-Linh Nguyen, Tuan-Anh Vu, Yves Grandvalet, Sebastien Destercke. Probabilistic set-valued multi-dimensional classifiers.
Revues internationales avec comité de lecture
1. T.-A. Vu, S. Afifi, E. Lefèvre, F. Pichon. Optimization problems with
uncertain objective coefficients using capacities. Annals of Operations
Research, pp.383–412, 2025.
2. T. Davot, T.-A. Vu, S. Destercke, D. Savourey. On the enumeration of
non-dominated matroids with imprecise weights. International Journal
of Approximate Reasoning 174, 109266, 2024.
3. T.-A. Vu, S. Afifi, E. Lefèvre, F. Pichon. Optimization problems with
evidential linear objective. International Journal of Approximate Reasoning, 161, 108987, 2023.
5. T.-A. Vu, S. Afifi, E. Lefèvre, F. Pichon. 0-1 Combinatorial optimiza-
tion problems with qualitative and uncertain profits. In V.-N. Huynh,
B. Le, K. Honda, M. Inuiguchi, and Y. Kohda, editors, Proc. of Integrated Uncertainty in Knowledge Modelling and Decision Making - 10th International Symposium, IUKM 2023, Kanazawa, Japan, November 2-4, 2023, volume 14375 of Lecture Notes in Computer Science, pages 139-151, Springer, 2023.
6. T.-A. Vu, S. Afifi, E. Lefèvre, F. Pichon. On Modelling and Solving
the Shortest Path Problem with Evidential Weights. In S. Le Hégarat-
Mascle, I. Bloch, and E. Aldea, editors, Belief Functions: Theory and
Applications, Proc. of the 7th International Conference, BELIEF 2022,
Paris, France, October 26-28, 2022, volume 13506 of Lecture Notes in
Computer Science, pages 139–149, Springer, 2022.
1. Vu-Linh Nguyen, Tuan-Anh Vu, Yves Grandvalet, Sebastien Destercke. Probabilistic set-valued multi-dimensional classifiers.
Revues internationales avec comité de lecture
1. T.-A. Vu, S. Afifi, E. Lefèvre, F. Pichon. Optimization problems with
uncertain objective coefficients using capacities. Annals of Operations
Research, pp.383–412, 2025.
2. T. Davot, T.-A. Vu, S. Destercke, D. Savourey. On the enumeration of
non-dominated matroids with imprecise weights. International Journal
of Approximate Reasoning 174, 109266, 2024.
3. T.-A. Vu, S. Afifi, E. Lefèvre, F. Pichon. Optimization problems with
evidential linear objective. International Journal of Approximate Reasoning, 161, 108987, 2023.
4. T.-A. Vu, S. Afifi, É. Lefèvre, F. Pichon. Optimization Under Se-
vere Uncertainty: a Generalized Minimax Regret Approach for Problems
with Linear Objectives. In Y. Bi, A.-L. Jousselme, and T. Denœux, edi-
tors, Belief Functions: Theory and Applications, Proc. of the 8th Inter-
national Conference, BELIEF 2024, Belfast, UK, September 2-4, 2024,
volume 14909 of Lecture Notes in Computer Science, pages 197–204,
Springer, 2024.
5. T.-A. Vu, S. Afifi, E. Lefèvre, F. Pichon. 0-1 Combinatorial optimiza-
tion problems with qualitative and uncertain profits. In V.-N. Huynh,
B. Le, K. Honda, M. Inuiguchi, and Y. Kohda, editors, Proc. of Integrated Uncertainty in Knowledge Modelling and Decision Making - 10th International Symposium, IUKM 2023, Kanazawa, Japan, November 2-4, 2023, volume 14375 of Lecture Notes in Computer Science, pages 139-151, Springer, 2023.
6. T.-A. Vu, S. Afifi, E. Lefèvre, F. Pichon. On Modelling and Solving
the Shortest Path Problem with Evidential Weights. In S. Le Hégarat-
Mascle, I. Bloch, and E. Aldea, editors, Belief Functions: Theory and
Applications, Proc. of the 7th International Conference, BELIEF 2022,
Paris, France, October 26-28, 2022, volume 13506 of Lecture Notes in
Computer Science, pages 139–149, Springer, 2022.
