< Back to previous page
Researcher
Bac Nguyen Cong
- Disciplines:Theoretical computer science not elsewhere classified
Affiliations
- Department of Data analysis and mathematical modelling (Department)
Member
From1 Jan 2018 → 30 Sep 2021 - Department of Mathematical Modelling, Statistics and Bio-informatics (Department)
Member
From16 Nov 2015 → 31 Dec 2017
Projects
1 - 1 of 1
- High-dimensional Distance Metric Learning for Ordinal ClassificationFrom1 Oct 2015 → 30 Sep 2019Funding: BOF - Doctoral projects
Publications
1 - 10 of 14
- Otolith identification using a deep hierarchical classification model(2021)
Authors: Michiel Stock, Bac Nguyen Cong, Wouter Courtens, Hilbran Verstraete, Eric Stienen, Bernard De Baets
- Scalable large-margin distance metric learning using stochastic gradient descent(2020)
Authors: Bac Nguyen Cong, Carlos Morell, Bernard De Baets
Pages: 1072 - 1083 - Supervised distance metric learning for pattern recognition(2019)
Authors: Bac Nguyen Cong
- Assessing the potential of the qualitative trajectory calculus to detect gait pathologies : a case study of children with developmental coordination disorder(2019)
Authors: Jasper Beernaerts, Bac Nguyen Cong, Pieter Vansteenkiste, Frederik Deconinck, Matthieu Lenoir, Dirk De Clercq, Nico Van de Weghe
Pages: 64 - 70 - Supervised distance metric learning through maximization of the Jeffrey divergence
Authors: Bac Nguyen Cong, Carlos Morell
Pages: 215 - 225 - An approach to supervised distance metric learning based on difference of convex functions programming
Authors: Bac Nguyen Cong
Pages: 562 - 574 - Learning singleU+2010cell distances from cytometry data
Authors: Bac Nguyen Cong, Peter Rubbens
Pages: 782 - 791 - Distance metric learning for ordinal classification based on triplet constraints
Authors: Bac Nguyen Cong, Carlos Morell
Pages: 17 - 28 - An efficient method for clustered multi-metric learning
Authors: Bac Nguyen Cong, Francesc J Ferri, Carlos Morell
Pages: 149 - 163 - Improved deep embedding learning based on stochastic symmetric triplet loss and local sampling
Authors: Bac Nguyen Cong
Pages: 209 - 219