Christian Igel
Cited by
Cited by
Man vs. computer: Benchmarking machine learning algorithms for traffic sign recognition
J Stallkamp, M Schlipsing, J Salmen, C Igel
Neural networks 32, 323-332, 2012
The German traffic sign recognition benchmark: a multi-class classification competition
J Stallkamp, M Schlipsing, J Salmen, C Igel
The 2011 international joint conference on neural networks, 1453-1460, 2011
Detection of traffic signs in real-world images: The German Traffic Sign Detection Benchmark
S Houben, J Stallkamp, J Salmen, M Schlipsing, C Igel
The 2013 international joint conference on neural networks (IJCNN), 1-8, 2013
The liver tumor segmentation benchmark (lits)
P Bilic, P Christ, HB Li, E Vorontsov, A Ben-Cohen, G Kaissis, A Szeskin, ...
Medical Image Analysis 84, 102680, 2023
Empirical evaluation of the improved Rprop learning algorithms
C Igel, M Hüsken
Neurocomputing 50, 105-123, 2003
Covariance matrix adaptation for multi-objective optimization
C Igel, N Hansen, S Roth
Evolutionary computation 15 (1), 1-28, 2007
An introduction to restricted Boltzmann machines
A Fischer, C Igel
Progress in Pattern Recognition, Image Analysis, Computer Vision, and …, 2012
Deep feature learning for knee cartilage segmentation using a triplanar convolutional neural network
A Prasoon, K Petersen, C Igel, F Lauze, E Dam, M Nielsen
International conference on medical image computing and computer-assisted …, 2013
Evolutionary tuning of multiple SVM parameters
F Friedrichs, C Igel
Neurocomputing 64, 107-117, 2005
Training restricted Boltzmann machines: An introduction
A Fischer, C Igel
Pattern Recognition 47 (1), 25-39, 2014
Unsupervised deep learning applied to breast density segmentation and mammographic risk scoring
M Kallenberg, K Petersen, M Nielsen, AY Ng, P Diao, C Igel, CM Vachon, ...
IEEE transactions on medical imaging 35 (5), 1322-1331, 2016
An unexpectedly large count of trees in the West African Sahara and Sahel
M Brandt, CJ Tucker, A Kariryaa, K Rasmussen, C Abel, J Small, J Chave, ...
Nature 587 (7832), 78-82, 2020
Self-supervised speech representation learning: A review
A Mohamed, H Lee, L Borgholt, JD Havtorn, J Edin, C Igel, K Kirchhoff, ...
IEEE Journal of Selected Topics in Signal Processing 16 (6), 1179-1210, 2022
C Igel, V Heidrich-Meisner, T Glasmachers
Journal of machine learning research 9 (6), 2008
U-time: A fully convolutional network for time series segmentation applied to sleep staging
M Perslev, M Jensen, S Darkner, PJ Jennum, C Igel
Advances in Neural Information Processing Systems 32, 2019
A computational efficient covariance matrix update and a (1+ 1)-CMA for evolution strategies
C Igel, T Suttorp, N Hansen
Proceedings of the 8th annual conference on Genetic and evolutionary …, 2006
Neuroevolution for reinforcement learning using evolution strategies
C Igel
The 2003 Congress on Evolutionary Computation, 2003. CEC'03. 4, 2588-2595, 2003
Early detection of Alzheimer's disease using M RI hippocampal texture
L Sĝrensen, C Igel, N Liv Hansen, M Osler, M Lauritzen, E Rostrup, ...
Human brain mapping 37 (3), 1148-1161, 2016
U-Sleep: resilient high-frequency sleep staging
M Perslev, S Darkner, L Kempfner, M Nikolic, PJ Jennum, C Igel
NPJ digital medicine 4 (1), 72, 2021
Hoeffding and Bernstein races for selecting policies in evolutionary direct policy search
V Heidrich-Meisner, C Igel
Proceedings of the 26th Annual International Conference on Machine Learning …, 2009
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Articles 1–20