Show 10 5 10 15 20 50 100 250 Sort by year (new to old) Actions Download search results Subscribe to news feed Your filters: cql: author exact 0FE3BF82-8CB6-11E5-A9F6-0BC5B4D1D7B1 or (type any "bookEditor journalEditor issueEdi... cql: keyword exact "metric learning" Add to list Journal Article A1 Improved deep embedding learning based on stochastic symmetric triplet loss and local sampling Bac Nguyen Cong (UGent) and Bernard De Baets (UGent) (2020) NEUROCOMPUTING. 402. p.209-219 Add to list Journal Article A1 Scalable large-margin distance metric learning using stochastic gradient descent Bac Nguyen Cong (UGent) , Carlos Morell and Bernard De Baets (UGent) (2020) IEEE TRANSACTIONS ON CYBERNETICS. 50(3). p.1072-1083 Add to list Journal Article A1 Kernel-based distance metric learning for supervised k-means clustering Bac Nguyen Cong (UGent) and Bernard De Baets (UGent) (2019) IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS. 30(10). p.3084-3095 Add to list Journal Article A1 Learning singleācell distances from cytometry data Bac Nguyen Cong (UGent) , Peter Rubbens, Frederiek-Maarten Kerckhof (UGent) , Nico Boon (UGent) , Bernard De Baets (UGent) and Willem Waegeman (UGent) (2019) CYTOMETRY PART A. 95. p.782-791 Add to list Journal Article A1 Distance metric learning with the Universum Bac Nguyen Cong (UGent) , Carlos Morell and Bernard De Baets (UGent) (2017) PATTERN RECOGNITION LETTERS. 100. p.37-43