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BMC Bioinformatics|February 9, 2020
Drug-target interaction prediction with tree-ensemble learning and output space reconstructionKonstantinos Pliakos, Celine VensBMC Bioinformatics|October 30, 2019
Network inference with ensembles of bi-clustering treesKonstantinos Pliakos, Celine VensJournal of Biomedical Informatics|July 18, 2018
Mining features for biomedical data using clustering tree ensemblesKonstantinos Pliakos, Celine VensIEEE/ACM Transactions on Computational Biology and Bioinformatics|November 6, 2019
Predicting Drug-Target Interactions With Multi-Label Classification and Label PartitioningKonstantinos Pliakos, Celine Vens, Grigorios TsoumakasBehavior Research Methods|July 12, 2022
Comparing the prediction performance of item response theory and machine learning methods on item responses for educational assessmentsJung Yeon Park, Klest Dedja, Konstantinos Pliakos, et al.Evolutionary Bioinformatics Online|May 24, 2013
Top-down clustering for protein subfamily identificationEduardo P Costa, Celine Vens, Hendrik BlockeelBMC Bioinformatics|September 25, 2019
Machine learning for discovering missing or wrong protein function annotations : A comparison using updated benchmark datasetsFelipe Kenji Nakano, Mathias Lietaert, Celine VensEuropean Heart Journal. Digital Health|January 30, 2023
Echocardiographic phenogrouping by machine learning for risk stratification in the general populationFrantišek Sabovčik, Nicholas Cauwenberghs, Celine Vens, et al.Computers in Biology and Medicine|November 16, 2021
Survival analysis with semi-supervised predictive clustering treesBijit Roy, Tomaž Stepišnik, , et al.Bioinformatics (Oxford, England)|March 5, 2011
Identifying discriminative classification-based motifs in biological sequencesCeline Vens, Marie-Noëlle Rosso, Etienne G J DanchinPageof 4