Research output per year
Research output per year
Personal profile
Research profile
Vu-Linh Nguyen received his Bachelor degree in Mathematics from Vietnam National University, Hanoi (VNU), Vietnam (2013) and Master degree in Knowledge Science from Japan Advanced Institute of Science and Technology (JAIST), Japan (2015). From 2015-2018, he pursued his PhD studies at Universite de Technologie de Compiegne (UTC), France, working on classification and active learning. From 2018-2020, he was postdoc at the Paderborn University (UPB), Germany, working on multi-label classification and ensemble learning. Vu-Linh Nguyen joined Eindhoven University of Technology (TU/e) in February 2021 as a Postdoc in the Uncertainty in Artificial Intelligence, Department of Mathematics and Computer Science.
Education/Academic qualification
Artificial intelligence, expert systems, Doctor, Universite de Technologie de Compiegne
Oct 2015 → Sep 2018
Award Date: 15 Oct 2018
Artificial intelligence, expert systems, Master, Japan Advanced Institute of Science and Technology
Apr 2013 → Mar 2015
Award Date: 20 Mar 2015
Mathematics, Bachelor, Vietnam National University, Hanoi
Aug 2008 → Mar 2013
Award Date: 16 May 2013
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How to measure uncertainty in uncertainty sampling for active learning
Nguyen, V-L., Shaker, M. H. & Hüllermeier, E., Jan 2022, In: Machine Learning. 111, p. 89-122 34 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile1 Citation (Scopus)49 Downloads (Pure) -
Learning Gradient Boosted Multi-label Classification Rules
Rapp, M., Mencía, E. L., Fürnkranz, J., Nguyen, V-L. & Hüllermeier, E., 2021, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2020, Proceedings. Hutter, F., Kersting, K., Lijffijt, J. & Valera, I. (eds.). Springer, p. 124-140 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12459 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
4 Citations (Scopus) -
Multilabel Classification with Partial Abstention: Bayes-Optimal Prediction under Label Independence
Nguyen, V-L. & Hüllermeier, E., 2 Nov 2021, In: Journal of Artificial Intelligence Research. 72, p. 613-665 53 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile8 Downloads (Pure) -
Racing trees to query partial data
Nguyen, V-L., Destercke, S., Masson, M-H. & Ghassani, R., Jul 2021, In: Soft Computing : a Fusion of Foundations, Methodologies and Applications. 25, 14, p. 9285-9305 21 p.Research output: Contribution to journal › Article › Academic › peer-review
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On Aggregation in Ensembles of Multilabel Classifiers
Nguyen, V-L., Hüllermeier, E., Rapp, M., Mencía, E. L. & Fürnkranz, J., 2020, p. 533-547. 15 p.Research output: Contribution to conference › Paper › Academic
4 Citations (Scopus)
Courses
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Foundations of Artificial Intelligence
Thomas Krak, Erik Quaeghebeur & Cassio de Campos 1/09/20 → …
Course
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