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
13342015
Task clustering and gating for Bayesian multitask learning
BJ Bakker, TM Heskes
6692003
Practical confidence and prediction intervals
TM Heskes
Proceedings of the 9th International Conference on Neural Information …, 1996
404*1996
Practical confidence and prediction intervals
TM Heskes
Proceedings of the 9th International Conference on Neural Information …, 1996
404*1996
Energy functions for self-organizing maps
T Heskes
Kohonen maps, 303-315, 1999
2141999
Stable fixed points of loopy belief propagation are minima of the Bethe free energy
T Heskes
Advances in neural information processing systems 15, 359-366, 2003
2112003
The statistical properties of gene-set analysis
CA De Leeuw, BM Neale, T Heskes, D Posthuma
Nature Reviews Genetics 17 (6), 353-364, 2016
2082016
Self-organizing maps, vector quantization, and mixture modeling
T Heskes
IEEE transactions on neural networks 12 (6), 1299-1305, 2001
1972001
On the uniqueness of loopy belief propagation fixed points
T Heskes
Neural Computation 16 (11), 2379-2413, 2004
1892004
Learning processes in neural networks
TM Heskes, B Kappen
Physical Review A 44 (4), 2718, 1991
1811991
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), 1-12, 2017
1802017
Expectation Propagation for approximate inference in dynamic Bayesian networks
T Heskes, O Zoeter
arXiv preprint arXiv:1301.0572, 2012
1702012
Clustering ensembles of neural network models
B Bakker, T Heskes
Neural networks 16 (2), 261-269, 2003
1632003
Approximate inference and constrained optimization
T Heskes, K Albers, H Kappen
arXiv preprint arXiv:1212.2480, 2012
1302012
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 (2), 191-213, 2014
1252014
Empirical Bayes for learning to learn
TM Heskes
San Francisco: Morgan Kaufmann, 2000
1212000
On-line learning processes in artificial neural networks
TM Heskes, B Kappen
North-Holland Mathematical Library 51, 199-233, 1993
1211993
Convexity arguments for efficient minimization of the Bethe and Kikuchi free energies
T Heskes
Journal of Artificial Intelligence Research 26, 153-190, 2006
1162006
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
1152017
Fractional belief propagation
W Wiegerinck, T Heskes
Advances in Neural Information Processing Systems 15, 438-445, 2003
1122003
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