Manage settings
MENU
About this site
In het Nederlands
Home
Researchers
Projects
Organisations
Publications
Infrastructure
Contact
Research Explorer
Your browser does not support JavaScript or JavaScript is not enabled. Without JavaScript some functions of this webapplication may be disabled or cause error messages. To enable JavaScript, please consult the manual of your browser or contact your system administrator.
Researcher
Bac Nguyen Cong
Profile
Projects
Publications
Activities
Awards & Distinctions
15
Results
2021
Otolith identification using a deep hierarchical classification model
Michiel Stock
Bac Nguyen Cong
Wouter Courtens
Hilbran Verstraete
Eric Stienen
Bernard De Baets
A1
Journal Article
in
COMPUTERS AND ELECTRONICS IN AGRICULTURE
2021
2020
Improved deep embedding learning based on stochastic symmetric triplet loss and local sampling
Bac Nguyen Cong
Bernard De Baets
A1
Journal Article
in
NEUROCOMPUTING
2020
Scalable large-margin distance metric learning using stochastic gradient descent
Bac Nguyen Cong
Carlos Morell
Bernard De Baets
A1
Journal Article
in
IEEE TRANSACTIONS ON CYBERNETICS
2020
2019
An efficient method for clustered multi-metric learning
Bac Nguyen Cong
Francesc J Ferri
Carlos Morell
Bernard De Baets
A1
Journal Article
in
INFORMATION SCIENCES
2019
Assessing the potential of the qualitative trajectory calculus to detect gait pathologies : a case study of children with developmental coordination disorder
Jasper Beernaerts
Rud Derie
Bac Nguyen Cong
Pieter Vansteenkiste
Bernard De Baets
Frederik Deconinck
Matthieu Lenoir
Dirk De Clercq
Nico Van de Weghe
A1
Journal Article
in
COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING
2019
Kernel distance metric learning using pairwise constraints for person re-identification
Bac Nguyen Cong
Bernard De Baets
A1
Journal Article
in
IEEE TRANSACTIONS ON IMAGE PROCESSING
2019
Kernel-based distance metric learning for supervised k-means clustering
Bac Nguyen Cong
Bernard De Baets
A1
Journal Article
in
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
2019
Learning single‐cell distances from cytometry data
Bac Nguyen Cong
Peter Rubbens
Frederiek-Maarten Kerckhof
Nico Boon
Bernard De Baets
Willem Waegeman
A1
Journal Article
in
CYTOMETRY PART A
2019
Supervised distance metric learning for pattern recognition
Bac Nguyen Cong
Bernard De Baets
Carlos Morell Pérez
Dissertation
2019
2018
An approach to supervised distance metric learning based on difference of convex functions programming
Bac Nguyen Cong
Bernard De Baets
A1
Journal Article
in
PATTERN RECOGNITION
2018
Distance metric learning for ordinal classification based on triplet constraints
Bac Nguyen Cong
Carlos Morell
Bernard De Baets
A1
Journal Article
in
KNOWLEDGE-BASED SYSTEMS
2018
2017
Distance metric learning : a two-phase approach
Bac Nguyen Cong
Carlos Morell
Bernard De Baets
C1
Conference
2017
Distance metric learning with the Universum
Bac Nguyen Cong
Carlos Morell
Bernard De Baets
A1
Journal Article
in
PATTERN RECOGNITION LETTERS
2017
Supervised distance metric learning through maximization of the Jeffrey divergence
Bac Nguyen Cong
Carlos Morell
Bernard De Baets
A1
Journal Article
in
PATTERN RECOGNITION
2017
2016
Large-scale distance metric learning for k-nearest neighbors regression
Bac Nguyen Cong
Carlos Morell
Bernard De Baets
A1
Journal Article
in
NEUROCOMPUTING
2016