Mining Local Staircase Patterns in Noisy Data. - Thanh Le Van; Ana Carolina Fierro; Tias Guns; Matthijs van Leeuwen; Siegfried Nijssen; Luc De Raedt; Kathleen Marchal (ICDM Workshops, 2012)

Ranked Tiling. - Thanh Le Van; Matthijs van Leeuwen; Siegfried Nijssen; Ana Carolina Fierro; Kathleen Marchal; Luc De Raedt (ECML/PKDD (2), 2014)

Rank Matrix Factorisation. - Thanh Le Van; Matthijs van Leeuwen; Siegfried Nijssen; Luc De Raedt (PAKDD (1), 2015)

Simultaneous discovery of cancer subtypes and subtype features by molecular data integration. - 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 (Bioinform., 2016)

Modeling in MiningZinc. - Anton Dries; Tias Guns; Siegfried Nijssen; Behrouz Babaki; Thanh Le Van; Benjamin Négrevergne; Sergey Paramonov 001; Luc De Raedt (Data Mining and Constraint Programming, 2016)

Semiring Rank Matrix Factorization. - Thanh Le Van; Siegfried Nijssen; Matthijs van Leeuwen; Luc De Raedt (IEEE Trans. Knowl. Data Eng., 2017)

Rank Matrix Factorisation and its Applications ; Rank matrix factorisatie en zijn toepassingen. - Thanh Le Van (2017)

SMURFF: A High-Performance Framework for Matrix Factorization Methods. - 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; et al. (BNAIC/BENELEARN, 2019)

Industry-scale application and evaluation of deep learning for drug target prediction. - 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; et al. (J. Cheminformatics, 2020)