Nguyen, Vu-Linh

8 publications

MLJ 2025 Credal Ensembling in Multi-Class Classification Vu-Linh Nguyen, Haifei Zhang, Sébastien Destercke

UAI 2023 Probabilistic Multi-Dimensional Classification Vu-Linh Nguyen, Yang Yang, Cassio De Campos

MLJ 2022 How to Measure Uncertainty in Uncertainty Sampling for Active Learning Vu-Linh Nguyen, Mohammad Hossein Shaker, Eyke Hüllermeier

JAIR 2021 Multilabel Classification with Partial Abstention: Bayes-Optimal Prediction Under Label Independence Vu-Linh Nguyen, Eyke Hüllermeier

ECML-PKDD 2020 Learning Gradient Boosted Multi-Label Classification Rules Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz, Vu-Linh Nguyen, Eyke Hüllermeier

AAAI 2020 Reliable Multilabel Classification: Prediction with Partial Abstention Vu-Linh Nguyen, Eyke Hüllermeier

IJCAI 2018 Reliable Multi-Class Classification Based on Pairwise Epistemic and Aleatoric Uncertainty Vu-Linh Nguyen, Sébastien Destercke, Marie-Hélène Masson, Eyke Hüllermeier

AAAI 2017 Querying Partially Labelled Data to Improve a k-NN Classifier Vu-Linh Nguyen, Sébastien Destercke, Marie-Hélène Masson