| Industry-scale application and evaluation of deep learning for drug target prediction N Sturm, A Mayr, T Le Van, V Chupakhin, H Ceulemans, J Wegner, ... Journal of Cheminformatics 12, 1-13, 2020 | 47 | 2020 |
| Simultaneous discovery of cancer subtypes and subtype features by molecular data integration T Le Van, M Van Leeuwen, A Carolina Fierro, D De Maeyer, ... Bioinformatics 32 (17), i445-i454, 2016 | 39 | 2016 |
| Ranked tiling T Le Van, M Van Leeuwen, S Nijssen, AC Fierro, K Marchal, L De Raedt Machine Learning and Knowledge Discovery in Databases: European Conference …, 2014 | 28 | 2014 |
| Leveraging cell painting images to expand the applicability domain and actively improve deep learning quantitative structure–activity relationship models D Herman, MM Kańduła, LGA Freitas, C van Dongen, T Le Van, ... Chemical Research in Toxicology 36 (7), 1028-1036, 2023 | 12 | 2023 |
| Deriving financial aid optimization models from admissions data P Haddawy 2007 37th Annual Frontiers In Education Conference-Global Engineering …, 2007 | 9 | 2007 |
| Rank matrix factorisation T Le Van, M van Leeuwen, S Nijssen, L De Raedt Advances in Knowledge Discovery and Data Mining: 19th Pacific-Asia …, 2015 | 6 | 2015 |
| SMURFF: a High-Performance Framework for Matrix Factorization TV Aa, I Chakroun, TJ Ashby, J Simm, A Arany, Y Moreau, TL Van, ... arXiv preprint arXiv:1904.02514, 2019 | 4 | 2019 |
| Semiring rank matrix factorization T Le Van, S Nijssen, M Van Leeuwen, L De Raedt IEEE Transactions on Knowledge and Data Engineering 29 (8), 1737-1750, 2017 | 4 | 2017 |
| Decentralised and Privacy-Aware Learning of Traversal Time Models T Le Van, A Bellet, J Ramon ECML PKDD 2017-European Conference on Machile Learning & Principles and …, 2017 | | 2017 |
| Rank Matrix Factorisation and its Applications T Le Van | | 2017 |
| Modeling in MiningZinc A Dries, T Guns, S Nijssen, B Babaki, T Le Van, B Negrevergne, ... Data Mining and Constraint Programming: Foundations of a Cross-Disciplinary …, 2016 | | 2016 |
| Ranked tiling based approach to discovering patient subtypes T Le Van, J Van den Eynden, D De Maeyer, L Verbeke, ... 10th Benelux Bioinformatics Conference 2015, Date: 2015/12/07-2015/12/08 …, 2015 | | 2015 |
| Bi-clustering gene expression data under constraints T Le Van, ACE Fierro Gutiérrez, T Guns, M van Leeuwen, S Nijssen, ... Benelux Bioinformatics Conference, Date: 2013/12/09-2013/12/10, Location …, 2013 | | 2013 |
| Mining local staircase patterns in noisy data T Le Van, AC Fierroy, T Guns, M Van Leeuwen, S Nijssen, L De Raedt, ... 2012 IEEE 12th International Conference on Data Mining Workshops, 139-146, 2012 | | 2012 |
| Supplementary: Simultaneous discovery of cancer subtypes and subtype features by molecular data integration T Le Van, M van Leeuwen, AC Fierro, D De Maeyer, J Van den Eynden, ... | | |
Luc De Raedtprofessor, KU Leuven & guestprofessor, Örebro UniversityVerified email at cs.kuleuven.be
