| How to measure uncertainty in uncertainty sampling for active learning VL Nguyen, MH Shaker, E Hüllermeier Machine Learning 111 (1), 89-122, 2022 | 163 | 2022 |
| Epistemic Uncertainty Sampling VL Nguyen, S Destercke, E Hüllermeier Proceedings of the 22nd International Conference on Discovery Science, 72-86, 2019 | 64 | 2019 |
| Learning Gradient Boosted Multi-label Classification Rules M Rapp, EL Mencía, J Fürnkranz, VL Nguyen, E Hüllermeier Proceedings of the European Conference on Machine Learning and Principles …, 2020 | 34 | 2020 |
| Reliable multi-class classification based on pairwise epistemic and aleatoric uncertainty VL Nguyen, S Destercke, MH Masson, E Hüllermeier Proceedings of the 27th International Joint Conference on Artificial …, 2018 | 34 | 2018 |
| Reliable Multi-label Classification: Prediction with Partial Abstention VL Nguyen, E Hüllermeier Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence …, 2020 | 23 | 2020 |
| On Aggregation in Ensembles of Multilabel Classifiers VL Nguyen, E Hüllermeier, M Rapp, EL Mencía, J Fürnkranz Proceedings of the 23rd International Conference on Discovery Science, 2020 | 13 | 2020 |
| Multilabel classification with partial abstention: Bayes-optimal prediction under label independence VL Nguyen, E Hüllermeier Journal of Artificial Intelligence Research 72, 613-665, 2021 | 12 | 2021 |
| Rule-Based Multi-label Classification: Challenges and Opportunities E Hüllermeier, J Fürnkranz, EL Mencia, VL Nguyen, M Rapp Proceedings of the 4th International Joint Conference on Rules and Reasoning …, 2020 | 12 | 2020 |
| Partial data querying through racing algorithms VL Nguyen, S Destercke, MH Masson International Journal of Approximate Reasoning 96, 36-55, 2018 | 8 | 2018 |
| K-Nearest Neighbour Classification for Interval-Valued Data VL Nguyen, S Destercke, MH Masson Proceedings of the 11th International Conference on Scalable Uncertainty …, 2017 | 5 | 2017 |
| Using conditional Copula to estimate Value-at-Risk in Vietnam’s foreign exchange market VL Nguyen, VN Huynh Econometrics of risk, 471-482, 2015 | 5 | 2015 |
| Probabilistic Multi-Dimensional Classification VL Nguyen, Y Yang, C de Campos Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial …, 2023 | 4 | 2023 |
| Querying partially labelled data to improve a k-nn classifier VL Nguyen, S Destercke, MH Masson Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017 | 3 | 2017 |
| Generalized Bayesian network classifiers Y Yang, C de Campos, VL Nguyen Master's thesis, Eindhoven University of Technology, The Netherlands, 2022 | 2 | 2022 |
| Racing trees to query partial data VL Nguyen, S Destercke, MH Masson, R Ghassani Soft Computing 25 (14), 9285-9305, 2021 | 2 | 2021 |
| Imprecision in Machine Learning Problems VL Nguyen University of Technology of Compiègne, 2018 | 2 | 2018 |
| Learning Sets of Probabilities Through Ensemble Methods VL Nguyen, H Zhang, S Destercke Proceedings of the 17th European Conference on Symbolic and Quantitative …, 2023 | 1 | 2023 |
| Inference Problem in Probabilistic Multi-label Classification VL Nguyen, XT Hoang, VN Huynh Proceedings of the 10th International Symposium on Integrated Uncertainty in …, 2023 | | 2023 |
| Skeptical inferences in multi-label ranking with sets of probabilities YC Carranza Alarcón, VL Nguyen arXiv e-prints, arXiv: 2210.08576, 2022 | | 2022 |
| Possible and necessary labels in K-nn procedures to query partially labelled data VL Nguyen, S Destercke, MH Masson From Multiple Criteria Decision Aid to Preference Learning, 2016 | | 2016 |
Eyke HüllermeierProfessor of Computer Science, Paderborn UniversityVerified email at upb.de
