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Thanh Le Van
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2020 – today
- 2020
- [j3]Noé Sturm, Andreas Mayr, Thanh Le Van, Vladimir I. Chupakhin, Hugo Ceulemans, Jörg K. Wegner, José Felipe Golib Dzib, Nina Jeliazkova, Yves Vandriessche, Stanislav Böhm, Vojtech Cima, Jan Martinovic, Nigel Greene, Tom Vander Aa, Thomas J. Ashby, Sepp Hochreiter, Ola Engkvist, Günter Klambauer, Hongming Chen:
Industry-scale application and evaluation of deep learning for drug target prediction. J. Cheminformatics 12(1): 26 (2020)
2010 – 2019
- 2019
- [c4]Tom Vander Aa, Imen Chakroun, Tom Ashby, Jaak Simm, Adam Arany, Yves Moreau, Thanh Le Van, José Felipe Golib Dzib, Jörg K. Wegner, Vladimir I. Chupakhin, Hugo Ceulemans, Roel Wuyts, Wilfried Verachtert:
SMURFF: A High-Performance Framework for Matrix Factorization Methods. BNAIC/BENELEARN 2019 - 2017
- [b1]Thanh Le Van:
Rank Matrix Factorisation and its Applications ; Rank matrix factorisatie en zijn toepassingen. Katholieke Universiteit Leuven, Belgium, 2017 - [j2]Thanh Le Van, Siegfried Nijssen, Matthijs van Leeuwen, Luc De Raedt:
Semiring Rank Matrix Factorization. IEEE Trans. Knowl. Data Eng. 29(8): 1737-1750 (2017) - 2016
- [j1]Thanh Le Van, Matthijs van Leeuwen, Ana Carolina Fierro, Dries De Maeyer, Jimmy Van den Eynden, Lieven P. C. Verbeke, Luc De Raedt, Kathleen Marchal, Siegfried Nijssen:
Simultaneous discovery of cancer subtypes and subtype features by molecular data integration. Bioinform. 32(17): 445-454 (2016) - [p1]Anton Dries, Tias Guns, Siegfried Nijssen, Behrouz Babaki, Thanh Le Van, Benjamin Négrevergne, Sergey Paramonov, Luc De Raedt:
Modeling in MiningZinc. Data Mining and Constraint Programming 2016: 257-281 - 2015
- [c3]Thanh Le Van, Matthijs van Leeuwen, Siegfried Nijssen, Luc De Raedt:
Rank Matrix Factorisation. PAKDD (1) 2015: 734-746 - 2014
- [c2]Thanh Le Van, Matthijs van Leeuwen, Siegfried Nijssen, Ana Carolina Fierro, Kathleen Marchal, Luc De Raedt:
Ranked Tiling. ECML/PKDD (2) 2014: 98-113 - 2012
- [c1]Thanh Le Van, Ana Carolina Fierro, Tias Guns, Matthijs van Leeuwen, Siegfried Nijssen, Luc De Raedt, Kathleen Marchal:
Mining Local Staircase Patterns in Noisy Data. ICDM Workshops 2012: 139-146
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