Luc Dehaspe
Luc Dehaspe
Unknown affiliation
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Cited by
Cited by
Discovery of frequent datalog patterns
L Dehaspe, H Toivonen
Data Mining and knowledge discovery 3, 7-36, 1999
Finding frequent substructures in chemical compounds
L Dehaspe, H Toivonen, RD King
Proceedings of the AAAI Spring Symposium on Predictive Toxicology of …, 1999
Clausal discovery
L De Raedt, L Dehaspe
Machine Learning 26, 99-146, 1997
Mining association rules in multiple relations
L Dehaspe, L De Raedt
Inductive Logic Programming: 7th International Workshop, ILP-97 Prague …, 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
Discovery of relational association rules
L Dehaspe, H Toivonen
Relational data mining, 189-212, 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
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
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
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
Warmr: a data mining tool for chemical data
RD King, A Srinivasan, L Dehaspe
Journal of Computer-Aided Molecular Design 15, 173-181, 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
Multi-relational data mining
A Knobbe, H Blockeel, A Siebes, D van der Wallen
Proceedings of the 9th Belgian-Dutch Conference on Machine Learning, 61-74, 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 1 (4), 283-293, 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
Frequent pattern discovery in first-order logic
L Dehaspe
AI Commun. 12 (1-2), 115-117, 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
Three companions for data mining in first order logic
L De Raedt, H Blockeel, L Dehaspe, W Van Laer
Relational data mining, 105-139, 2001
Maximum entropy modeling with clausal constraints
L Dehaspe
International Conference on Inductive Logic Programming, 109-124, 1997
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
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