| 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 | 1436 | 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 | 1087 | 2011 |
| Covariance matrix adaptation for multi-objective optimization C Igel, N Hansen, S Roth Evolutionary computation 15 (1), 1-28, 2007 | 898 | 2007 |
| 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 | 881 | 2013 |
| 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 Medical Image Computing and Computer-Assisted Intervention–MICCAI 2013: 16th …, 2013 | 731 | 2013 |
| An introduction to restricted Boltzmann machines A Fischer, C Igel Progress in Pattern Recognition, Image Analysis, Computer Vision, and …, 2012 | 727 | 2012 |
| Evolutionary tuning of multiple SVM parameters F Friedrichs, C Igel Neurocomputing 64, 107-117, 2005 | 653 | 2005 |
| 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 | 617 | 2023 |
| Training restricted Boltzmann machines: An introduction A Fischer, C Igel Pattern Recognition 47 (1), 25-39, 2014 | 603 | 2014 |
| Improving the Rprop learning algorithm C Igel, M Hüsken Proceedings of the second international ICSC symposium on neural computation …, 2000 | 539 | 2000 |
| Empirical evaluation of the improved Rprop learning algorithms C Igel, M Hüsken Neurocomputing 50, 105-123, 2003 | 537 | 2003 |
| 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 | 458 | 2016 |
| Shark. C Igel, V Heidrich-Meisner, T Glasmachers Journal of machine learning research 9 (6), 2008 | 260 | 2008 |
| 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 | 210 | 2020 |
| 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 | 204 | 2006 |
| Neuroevolution for reinforcement learning using evolution strategies C Igel The 2003 Congress on Evolutionary Computation, 2003. CEC'03. 4, 2588-2595, 2003 | 194 | 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 | 192 | 2016 |
| 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 | 174 | 2009 |
| 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 | 173 | 2003 |
| A no-free-lunch theorem for non-uniform distributions of target functions C Igel, M Toussaint Journal of Mathematical Modelling and Algorithms 3, 313-322, 2005 | 168 | 2005 |
