Tom Croonenborghs
Tom Croonenborghs
KU Leuven
Bestätigte E-Mail-Adresse bei
Zitiert von
Zitiert von
A targeted functional RNA interference screen uncovers glypican 5 as an entry factor for hepatitis B and D viruses
ER Verrier, CC Colpitts, C Bach, L Heydmann, A Weiss, M Renaud, ...
Hepatology 63 (1), 35-48, 2016
Transcriptional signature of human pro-inflammatory TH17 cells identifies reduced IL10 gene expression in multiple sclerosis
D Hu, S Notarbartolo, T Croonenborghs, B Patel, R Cialic, TH Yang, ...
Nature communications 8 (1), 1600, 2017
Transfer learning in reinforcement learning problems through partial policy recycling
J Ramon, K Driessens, T Croonenborghs
European conference on machine learning, 699-707, 2007
Learning relational options for inductive transfer in relational reinforcement learning
T Croonenborghs, K Driessens, M Bruynooghe
Inductive Logic Programming: 17th International Conference, ILP 2007 …, 2008
Combined analysis of metabolomes, proteomes, and transcriptomes of hepatitis C virus–infected cells and liver to identify pathways associated with disease development
J Lupberger, T Croonenborghs, AAR Suarez, N Van Renne, F Jühling, ...
Gastroenterology 157 (2), 537-551. e9, 2019
Accelerometry-based home monitoring for detection of nocturnal hypermotor seizures based on novelty detection
K Cuppens, P Karsmakers, A Van de Vel, B Bonroy, M Milosevic, S Luca, ...
IEEE journal of biomedical and health informatics 18 (3), 1026-1033, 2013
miR-135a-5p-mediated downregulation of protein tyrosine phosphatase receptor delta is a candidate driver of HCV-associated hepatocarcinogenesis
N Van Renne, AAR Suarez, FHT Duong, C Gondeau, D Calabrese, ...
Gut 67 (5), 953-962, 2018
Online learning and exploiting relational models in reinforcement learning
T Croonenborghs, J Ramon, H Blockeel, M Bruynooghe
IJCAI 2007, Proceedings of the 20th International Joint Conference on …, 2007
Bridging the gap between real‐life data and simulated data by providing a highly realistic fall dataset for evaluating camera‐based fall detection algorithms
G Baldewijns, G Debard, G Mertes, B Vanrumste, T Croonenborghs
Healthcare technology letters 3 (1), 6-11, 2016
Module analysis captures pancancer genetically and epigenetically deregulated cancer driver genes for smoking and antiviral response
M Champion, K Brennan, T Croonenborghs, AJ Gentles, N Pochet, ...
EBioMedicine 27, 156-166, 2018
Automatic in-door fall detection based on microwave radar measurements
P Karsmakers, T Croonenborghs, M Mercuri, D Schreurs, P Leroux
2012 9th European Radar Conference, 202-205, 2012
Detecting rare events using extreme value statistics applied to epileptic convulsions in children
S Luca, P Karsmakers, K Cuppens, T Croonenborghs, A Van de Vel, ...
Artificial intelligence in medicine 60 (2), 89-96, 2014
Camera-based fall detection using real-world versus simulated data: How far are we from the solution?
G Debard, M Mertens, M Deschodt, E Vlaeyen, E Devriendt, E Dejaeger, ...
Journal of Ambient Intelligence and Smart Environments 8 (2), 149-168, 2016
Validation of the kinect for gait analysis using the GAITRite walkway
G Baldewijns, G Verheyden, B Vanrumste, T Croonenborghs
2014 36th Annual International Conference of the IEEE Engineering in …, 2014
Bayes-Relational Learning of Opponent Models from Incomplete Information in No-Limit Poker.
MJV Ponsen, J Ramon, T Croonenborghs, K Driessens, K Tuyls
AAAI, 1485-1486, 2008
A human liver cell-based system modeling a clinical prognostic liver signature for therapeutic discovery
E Crouchet, S Bandiera, N Fujiwara, S Li, H El Saghire, ...
Nature communications 12 (1), 5525, 2021
Developing a system that can automatically detect health changes using transfer times of older adults
G Baldewijns, S Luca, B Vanrumste, T Croonenborghs
BMC medical research methodology 16, 1-17, 2016
Multi-agent relational reinforcement learning: Explorations in multi-state coordination tasks
T Croonenborghs, K Tuyls, J Ramon, M Bruynooghe
Learning and Adaption in Multi-Agent Systems: First International Workshop …, 2006
Towards informed reinforcement learning
T Croonenborghs, J Ramon, M Bruynooghe
Proceedings of the ICML'04 workshop on relational reinforcement learning, 21-26, 2004
Transfer learning for reinforcement learning through goal and policy parametrization
K Driessens, J Ramon, T Croonenborghs
Proceedings of the ICML Workshop on Structural Knowledge Transfer for …, 2006
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