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Tom Heskes
Tom Heskes
Professor of Computer Science and Artificial Intelligence, Radboud University Nijmegen
Verified email at science.ru.nl - Homepage
Title
Cited by
Cited by
Year
MAGMA: generalized gene-set analysis of GWAS data
CA de Leeuw, JM Mooij, T Heskes, D Posthuma
PLoS computational biology 11 (4), e1004219, 2015
28962015
Task clustering and gating for Bayesian multitask learning
BJ Bakker, TM Heskes
7462003
Practical confidence and prediction intervals
TM Heskes
Proceedings of the 9th International Conference on Neural Information …, 1996
5281996
The statistical properties of gene-set analysis
CA De Leeuw, BM Neale, T Heskes, D Posthuma
Nature Reviews Genetics 17 (6), 353-364, 2016
3042016
Location sensitive deep convolutional neural networks for segmentation of white matter hyperintensities
M Ghafoorian, N Karssemeijer, T Heskes, IWM van Uden, CI Sanchez, ...
Scientific Reports 7 (1), 5110, 2017
2912017
Stable fixed points of loopy belief propagation are local minima of the bethe free energy
T Heskes
Advances in neural information processing systems 15, 2002
2332002
Energy functions for self-organizing maps
T Heskes
Kohonen maps, 303-315, 1999
2291999
Self-organizing maps, vector quantization, and mixture modeling
T Heskes
IEEE transactions on neural networks 12 (6), 1299-1305, 2001
2172001
On the uniqueness of loopy belief propagation fixed points
T Heskes
Neural Computation 16 (11), 2379-2413, 2004
2002004
Expectation Propagation for approximate inference in dynamic Bayesian networks
T Heskes, O Zoeter
arXiv preprint arXiv:1301.0572, 2012
1842012
Learning processes in neural networks
TM Heskes, B Kappen
Physical Review A 44 (4), 2718, 1991
1831991
Causal shapley values: Exploiting causal knowledge to explain individual predictions of complex models
T Heskes, E Sijben, IG Bucur, T Claassen
Advances in neural information processing systems 33, 4778-4789, 2020
1802020
Clustering ensembles of neural network models
B Bakker, T Heskes
Neural networks 16 (2), 261-269, 2003
1802003
Premise selection for mathematics by corpus analysis and kernel methods
J Alama, T Heskes, D Kühlwein, E Tsivtsivadze, J Urban
Journal of automated reasoning 52, 191-213, 2014
1782014
Deep multi-scale location-aware 3D convolutional neural networks for automated detection of lacunes of presumed vascular origin
M Ghafoorian, N Karssemeijer, T Heskes, M Bergkamp, J Wissink, J Obels, ...
NeuroImage: Clinical 14, 391-399, 2017
1762017
Exact p-values for pairwise comparison of Friedman rank sums, with application to comparing classifiers
R Eisinga, T Heskes, B Pelzer, M Te Grotenhuis
BMC bioinformatics 18, 1-18, 2017
1742017
A causal and mediation analysis of the comorbidity between attention deficit hyperactivity disorder (ADHD) and autism spectrum disorder (ASD)
E Sokolova, AM Oerlemans, NN Rommelse, P Groot, CA Hartman, ...
Journal of autism and developmental disorders 47, 1595-1604, 2017
1722017
Measuring Parkinson's disease over time: the real‐world within‐subject reliability of the MDS‐UPDRS
LJW Evers, JH Krijthe, MJ Meinders, BR Bloem, TM Heskes
Movement Disorders 34 (10), 1480-1487, 2019
1592019
Linear reconstruction of perceived images from human brain activity
S Schoenmakers, M Barth, T Heskes, M Van Gerven
NeuroImage 83, 951-961, 2013
1592013
MSH3 modifies somatic instability and disease severity in Huntington’s and myotonic dystrophy type 1
M Flower, V Lomeikaite, M Ciosi, S Cumming, F Morales, K Lo, ...
Brain 142 (7), 1876-1886, 2019
1532019
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