| Discovery of frequent datalog patterns L Dehaspe, H Toivonen Data Mining and knowledge discovery 3, 7-36, 1999 | 488 | 1999 |
| Finding Frequent Substructures in Chemical Compounds. L Dehaspe, H Toivonen, RD King KDD 98, 1998, 1998 | 419 | 1998 |
| Clausal discovery L De Raedt, L Dehaspe Machine Learning 26, 99-146, 1997 | 409 | 1997 |
| Mining association rules in multiple relations L Dehaspe, L De Raedt Inductive Logic Programming: 7th International Workshop, ILP-97 Prague …, 1997 | 330 | 1997 |
| Presymptomatic identification of cancers in pregnant women during noninvasive prenatal testing F Amant, M Verheecke, I Wlodarska, L Dehaspe, P Brady, N Brison, ... JAMA oncology 1 (6), 814-819, 2015 | 245 | 2015 |
| Discovery of relational association rules L Dehaspe, H Toivonen Relational data mining, 189-212, 2001 | 192 | 2001 |
| A four‐gene methylation marker panel as triage test in high‐risk human papillomavirus positive patients JJH Eijsink, A Lendvai, V Deregowski, HG Klip, G Verpooten, L Dehaspe, ... International journal of cancer 130 (8), 1861-1869, 2012 | 172 | 2012 |
| Improving the efficiency of inductive logic programming through the use of query packs H Blockeel, L Dehaspe, B Demoen, G Janssens, J Ramon, ... Journal of Artificial Intelligence Research 16, 135-166, 2002 | 162 | 2002 |
| Noninvasive prenatal testing using a novel analysis pipeline to screen for all autosomal fetal aneuploidies improves pregnancy management B Bayindir, L Dehaspe, N Brison, P Brady, S Ardui, M Kammoun, ... European Journal of Human Genetics 23 (10), 1286-1293, 2015 | 146 | 2015 |
| Non-invasive detection of genomic imbalances in Hodgkin/Reed-Sternberg cells in early and advanced stage Hodgkin's lymphoma by sequencing of circulating cell-free DNA: a … P Vandenberghe, I Wlodarska, T Tousseyn, L Dehaspe, D Dierickx, ... The Lancet Haematology 2 (2), e55-e65, 2015 | 145 | 2015 |
| Warmr: a data mining tool for chemical data RD King, A Srinivasan, L Dehaspe Journal of Computer-Aided Molecular Design 15, 173-181, 2001 | 122 | 2001 |
| The utility of different representations of protein sequence for predicting functional class RD King, A Karwath, A Clare, L Dehaspe Bioinformatics 17 (5), 445-454, 2001 | 112 | 2001 |
| Multi-relational data mining AJ Knobbe, H Blockeel, A Siebes, DMG Van der Wallen Centrum voor wiskunde en informatica, 1999 | 97 | 1999 |
| Accurate prediction of protein functional class from sequence in the Mycobacterium tuberculosis and Escherichia coli genomes using data mining RD King, A Karwath, A Clare, L Dehaspe Yeast 17 (4), 283-293, 2000 | 95 | 2000 |
| Predicting fetoplacental chromosomal mosaicism during non‐invasive prenatal testing N Brison, M Neofytou, L Dehaspe, B Bayindir, K Van Den Bogaert, ... Prenatal diagnosis 38 (4), 258-266, 2018 | 91 | 2018 |
| Acceptance of rules generated by machine learning among medical experts MJ Pazzani, S Mani, WR Shankle Methods of information in medicine 40 (05), 380-385, 2001 | 89 | 2001 |
| Frequent pattern discovery in first-order logic L Dehaspe AI Commun. 12 (1-2), 115-117, 1999 | 80 | 1999 |
| Executing query packs in ILP H Blockeel, L Dehaspe, B Demoen, G Janssens, J Ramon, ... Inductive Logic Programming: 10th International Conference, ILP 2000 London …, 2000 | 69 | 2000 |
| Accuracy and clinical value of maternal incidental findings during noninvasive prenatal testing for fetal aneuploidies N Brison, K Van Den Bogaert, L Dehaspe, JM Van Den Oever, ... Genetics in Medicine 19 (3), 306-313, 2017 | 67 | 2017 |
| The diagnostic value of next generation sequencing in familial nonsyndromic congenital heart defects Y Jia, JJ Louw, J Breckpot, B Callewaert, C Barrea, Y Sznajer, M Gewillig, ... American Journal of Medical Genetics Part A 167 (8), 1822-1829, 2015 | 64 | 2015 |
