Vu-Linh Nguyen
Orcid: 0000-0003-1642-4468Affiliations:
- Paderborn University, Heinz Nixdorf Institute, Germany
- University of Technology of Compiègne, Heudiasyc Laboratory, France (PhD)
- Japan Advanced Institute of Science and Technology, Nomi, Japan
According to our database1,
Vu-Linh Nguyen
authored at least 22 papers
between 2015 and 2025.
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Bibliography
2025
2024
Proceedings of the Scalable Uncertainty Management - 16th International Conference, 2024
Discrete Minimax Binary Relevance Classifier for Imbalanced Multi-label Classification.
Proceedings of the Scalable Uncertainty Management - 16th International Conference, 2024
2023
Proceedings of the Uncertainty in Artificial Intelligence, 2023
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2023
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2023
2022
Mach. Learn., 2022
2021
Multilabel Classification with Partial Abstention: Bayes-Optimal Prediction under Label Independence.
J. Artif. Intell. Res., 2021
2020
Proceedings of the Rules and Reasoning - 4th International Joint Conference, 2020
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020
Proceedings of the Discovery Science - 23rd International Conference, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Proceedings of the Discovery Science - 22nd International Conference, 2019
2018
Imprecision in machine learning problems. (Imprécision en apprentissage statistique).
PhD thesis, 2018
Reliable Multi-class Classification based on Pairwise Epistemic and Aleatoric Uncertainty.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
2017
Proceedings of the Scalable Uncertainty Management - 11th International Conference, 2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2015
Using Conditional Copula to Estimate Value-at-Risk in Vietnam's Foreign Exchange Market.
Proceedings of the Econometrics of Risk, 2015