| The somatic genomic landscape of chromophobe renal cell carcinoma CF Davis, CJ Ricketts, M Wang, L Yang, AD Cherniack, H Shen, C Buhay, ... Cancer Cell 26 (3), 319-330, 2014 | 947 | 2014 |
| Critical assessment of automated flow cytometry data analysis techniques N Aghaeepour, G Finak, The_FlowCAP_Consortium, ... Nature Methods 10, 228-238, 2013 | 720 | 2013 |
| The statistical mechanics of learning a rule TLH Watkin, A Rau, M Biehl Reviews of Modern Physics 65 (2), 499-556, 1993 | 665 | 1993 |
| Urine Steroid Metabolomics as a Biomarker Tool for Detecting Malignancy in Adrenal Tumors W Arlt, M Biehl, AE Taylor, S Hahner, R Libé, BA Hughes, P Schneider, ... The Journal of Clinical Endocrinology & Metabolism 96 (12), 3775-3784, 2011 | 528 | 2011 |
| Adaptive relevance matrices in learning vector quantization P Schneider, M Biehl, B Hammer Neural computation 21 (12), 3532-3561, 2009 | 498 | 2009 |
| Post-correlation radio frequency interference classification methods AR Offringa, AG De Bruyn, M Biehl, S Zaroubi, G Bernardi, VN Pandey Monthly Notices of the Royal Astronomical Society 405 (1), 155-167, 2010 | 479 | 2010 |
| MED-NODE: a computer-assisted melanoma diagnosis system using non-dermoscopic images I Giotis, N Molders, S Land, M Biehl, MF Jonkman, N Petkov Expert systems with applications 42 (19), 6578-6585, 2015 | 476 | 2015 |
| The AdaTron: an adaptive perceptron algorithm JK Anlauf, M Biehl EPL (Europhysics Letters) 10 (7), 687-692, 1989 | 330 | 1989 |
| Steroid metabolome analysis reveals prevalent glucocorticoid excess in primary aldosteronism W Arlt, K Lang, AJ Sitch, AS Dietz, Y Rhayem, I Bancos, A Feuchtinger, ... JCI Insight 2 (8), 2017 | 303 | 2017 |
| Learning by on-line gradient descent M Biehl, H Schwarze Journal of Physics A: Mathematical and general 28 (3), 643, 1995 | 246 | 1995 |
| Prototype-based models in machine learning M Biehl, B Hammer, T Villmann WIREs Cogn Sci 7 (2), 92-111, 2016 | 241 | 2016 |
| Urine steroid metabolomics for the differential diagnosis of adrenal incidentalomas in the EURINE-ACT study: a prospective test validation study I Bancos, AE Taylor, V Chortis, AJ Sitch, C Jenkinson, CJ Davidge-Pitts, ... The Lancet Diabetes & Endocrinology, 2020 | 237 | 2020 |
| Survey of feature selection and extraction techniques for stock market prediction HH Htun, M Biehl, N Petkov Financial Innovation 9 (1), 26, 2023 | 236 | 2023 |
| Expression of Chemokines CXCL4 and CXCL7 by synovial macrophages defines an early stage of rheumatoid arthritis L Yeo, N Adlard, M Biehl, M Juarez, T Smallie, M Snow, CD Buckley, ... Annals of the Rheumatic Diseases 75, 763-771, 2015 | 175 | 2015 |
| Limited rank matrix learning, discriminative dimension reduction and visualization K Bunte, P Schneider, B Hammer, FM Schleif, T Villmann, M Biehl Neural Networks 26, 159-173, 2012 | 160 | 2012 |
| Dynamics and Generalization Ability of LVQ Algorithms. M Biehl, A Ghosh, B Hammer Journal of Machine Learning Research 8 (2), 2007 | 149 | 2007 |
| Distance learning in discriminative vector quantization P Schneider, M Biehl, B Hammer Neural computation 21 (10), 2942-2969, 2009 | 148 | 2009 |
| A general framework for dimensionality reducing data visualization mapping K Bunte, M Biehl, B Hammer Neural Computation 24 (3), 771-804, 2012 | 144 | 2012 |
| Stochastic Neighbor Embedding (SNE) for Dimension Reduction and Visualization using arbitrary Divergences K Bunte, S Haase, M Biehl, T Villmann Neurocomputing 40, 23-45, 2012 | 136 | 2012 |
| Regularization in matrix relevance learning P Schneider, K Bunte, H Stiekema, B Hammer, T Villmann, M Biehl IEEE Transactions on Neural Networks 21 (5), 831-840, 2010 | 119 | 2010 |
Barbara HammerProfessor, Bielefeld UniversityVerified email at techfak.uni-bielefeld.de
