Christian Igel
TitleCited byYear
Covariance matrix adaptation for multi-objective optimization
C Igel, N Hansen, S Roth
Evolutionary computation 15 (1), 1-28, 2007
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
Evolutionary tuning of multiple SVM parameters
F Friedrichs, C Igel
Neurocomputing 64, 107-117, 2005
Empirical evaluation of the improved Rprop learning algorithms
C Igel, M Hüsken
Neurocomputing 50, 105-123, 2003
The German Traffic Sign Recognition Benchmark: A multi-class classification competition.
J Stallkamp, M Schlipsing, J Salmen, C Igel
IJCNN 6, 7, 2011
Improving the Rprop learning algorithm
C Igel, M Hüsken
Proceedings of the second international ICSC symposium on neural computation …, 2000
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
An introduction to restricted Boltzmann machines
A Fischer, C Igel
Iberoamerican Congress on Pattern Recognition, 14-36, 2012
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
Training restricted Boltzmann machines: An introduction
A Fischer, C Igel
Pattern Recognition 47 (1), 25-39, 2014
C Igel, V Heidrich-Meisner, T Glasmachers
Journal of machine learning research 9 (Jun), 993-996, 2008
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
Image processing and behavior planning for intelligent vehicles
T Bucher, C Curio, J Edelbrunner, C Igel, D Kastrup, I Leefken, G Lorenz, ...
IEEE Transactions on Industrial electronics 50 (1), 62-75, 2003
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
A no-free-lunch theorem for non-uniform distributions of target functions
C Igel, M Toussaint
Journal of Mathematical Modelling and Algorithms 3 (4), 313-322, 2005
Neuroevolution for reinforcement learning using evolution strategies
C Igel
The 2003 Congress on Evolutionary Computation, 2003. CEC'03. 4, 2588-2595, 2003
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
On classes of functions for which no free lunch results hold
C Igel, M Toussaint
Information Processing Letters 86 (6), 317-321, 2003
Cross-reactive metal ion sensor array in a micro titer plate format
T Mayr, C Igel, G Liebsch, I Klimant, OS Wolfbeis
Analytical chemistry 75 (17), 4389-4396, 2003
Efficient covariance matrix update for variable metric evolution strategies
T Suttorp, N Hansen, C Igel
Machine Learning 75 (2), 167-197, 2009
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Articles 1–20