| Least squares support vector machine classifiers JAK Suykens, J Vandewalle Neural processing letters 9 (3), 293-300, 1999 | 11284* | 1999 |
| Time series: data analysis and theory DR Brillinger Society for Industrial and Applied Mathematics, 2001 | 5610 | 2001 |
| Least squares support vector machines JAK Suykens, T Van Gestel, J De Brabanter World scientific, 2002 | 5018 | 2002 |
| Subspace identification for linear systems: Theory—Implementation—Applications P Van Overschee, BL De Moor Springer Science & Business Media, 2012 | 4857 | 2012 |
| A multilinear singular value decomposition L De Lathauwer, B De Moor, J Vandewalle SIAM journal on Matrix Analysis and Applications 21 (4), 1253-1278, 2000 | 3878 | 2000 |
| PlantCARE, a database of plant cis-acting regulatory elements and a portal to tools for in silico analysis of promoter sequences M Lescot, P Déhais, G Thijs, K Marchal, Y Moreau, Y Van de Peer, ... Nucleic acids research 30 (1), 325-327, 2002 | 2671 | 2002 |
| N4SID: Subspace algorithms for the identification of combined deterministic-stochastic systems P Van Overschee, B De Moor Automatica 30 (1), 75-93, 1994 | 2213 | 1994 |
| Intrinsically unstructured proteins P Tompa Trends in biochemical sciences 27 (10), 527-533, 2002 | 2099 | 2002 |
| The total least squares problem: computational aspects and analysis S Van Huffel, J Vandewalle Society for Industrial and Applied Mathematics, 1991 | 1987 | 1991 |
| On the Best Rank-1 and Rank-(R1 ,R2 ,. . .,RN) Approximation of Higher-Order Tensors L De Lathauwer, B De Moor, J Vandewalle SIAM journal on Matrix Analysis and Applications 21 (4), 1324-1342, 2000 | 1589 | 2000 |
| Assessing computational tools for the discovery of transcription factor binding sites M Tompa, N Li, TL Bailey, GM Church, B De Moor, E Eskin, AV Favorov, ... Nature biotechnology 23 (1), 137-144, 2005 | 1500 | 2005 |
| BioMart and Bioconductor: a powerful link between biological databases and microarray data analysis S Durinck, Y Moreau, A Kasprzyk, S Davis, B De Moor, A Brazma, ... Bioinformatics 21 (16), 3439-3440, 2005 | 1208 | 2005 |
| DECIPHER: database of chromosomal imbalance and phenotype in humans using ensembl resources HV Firth, SM Richards, AP Bevan, S Clayton, M Corpas, D Rajan, ... The American Journal of Human Genetics 84 (4), 524-533, 2009 | 1131 | 2009 |
| Gene prioritization through genomic data fusion S Aerts, D Lambrechts, S Maity, P Van Loo, B Coessens, F De Smet, ... Nature biotechnology 24 (5), 537-544, 2006 | 992 | 2006 |
| A human phenome-interactome network of protein complexes implicated in genetic disorders K Lage, EO Karlberg, ZM Størling, PI Olason, AG Pedersen, O Rigina, ... Nature biotechnology 25 (3), 309-316, 2007 | 990 | 2007 |
| Matrix analysis and applications XD Zhang Cambridge University Press, 2017 | 984 | 2017 |
| Tensor decompositions for signal processing applications: From two-way to multiway component analysis A Cichocki, D Mandic, L De Lathauwer, G Zhou, Q Zhao, C Caiafa, ... IEEE signal processing magazine 32 (2), 145-163, 2015 | 912 | 2015 |
| Tensor decomposition for signal processing and machine learning ND Sidiropoulos, L De Lathauwer, X Fu, K Huang, EE Papalexakis, ... IEEE Transactions on Signal Processing 65 (13), 3551-3582, 2017 | 821 | 2017 |
| Benchmarking least squares support vector machine classifiers T Van Gestel, JAK Suykens, B Baesens, S Viaene, J Vanthienen, ... Machine learning 54 (1), 5-32, 2004 | 816 | 2004 |
| Subspace algorithms for the stochastic identification problem P Van Overschee, B De Moor Automatica 29 (3), 649-660, 1993 | 760 | 1993 |
Joos VandewalleProfessor at Electrical Engineering Dept (ESAT-SCD) KULeuvenBekræftet mail på esat.kuleuven.be
