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Onderzoeker
Bac Nguyen Cong
- Disciplines:Theoretische informatica niet elders geclassificeerd
Affiliaties
- Vakgroep Data-analyse en wiskundige modellering (Departement)
Lid
Vanaf1 jan 2018 → 30 sep 2021 - Vakgroep Wiskundige Modellering, Statistiek en Bio-informatica (Departement)
Lid
Vanaf16 nov 2015 → 31 dec 2017
Projecten
1 - 1 of 1
- Hoogdimensionaal metrisch leren voor ordinale classificatieVanaf1 okt 2015 → 30 sep 2019Financiering: BOF - Nieuwe Onderzoeksinitiatieven
Publicaties
1 - 10 van 14
- Otolith identification using a deep hierarchical classification model(2021)
Auteurs: 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)
Auteurs: Bac Nguyen Cong, Carlos Morell, Bernard De Baets
Pagina's: 1072 - 1083 - Supervised distance metric learning for pattern recognition(2019)
Auteurs: 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)
Auteurs: Jasper Beernaerts, Bac Nguyen Cong, Pieter Vansteenkiste, Frederik Deconinck, Matthieu Lenoir, Dirk De Clercq, Nico Van de Weghe
Pagina's: 64 - 70 - Supervised distance metric learning through maximization of the Jeffrey divergence
Auteurs: Bac Nguyen Cong, Carlos Morell
Pagina's: 215 - 225 - An approach to supervised distance metric learning based on difference of convex functions programming
Auteurs: Bac Nguyen Cong
Pagina's: 562 - 574 - Learning singleU+2010cell distances from cytometry data
Auteurs: Bac Nguyen Cong, Peter Rubbens
Pagina's: 782 - 791 - Distance metric learning for ordinal classification based on triplet constraints
Auteurs: Bac Nguyen Cong, Carlos Morell
Pagina's: 17 - 28 - An efficient method for clustered multi-metric learning
Auteurs: Bac Nguyen Cong, Francesc J Ferri, Carlos Morell
Pagina's: 149 - 163 - Improved deep embedding learning based on stochastic symmetric triplet loss and local sampling
Auteurs: Bac Nguyen Cong
Pagina's: 209 - 219