Michael Biehl

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Barbara HammerProfessor, Bielefeld UniversityVerified email at techfak.uni-bielefeld.de
Thomas VillmannProfessor for Mathematics and Computational Intelligence, University of Applied Sciences MittweidaVerified email at hs-mittweida.de
Kerstin BunteRosalind Franklin Fellow at the University of GroningenVerified email at rug.nl
Frank-Michael SchleifProfessor of Computational Intelligence, Technical-UAS Würzburg-SchweinfurtVerified email at thws.de
Angela Elizabeth Taylor ORCID 0000-...University of BirminghamVerified email at bham.ac.uk
Nicolai PetkovUniversity of GroningenVerified email at rug.nl
Wolfgang KinzelProfessor für Theoretische PhysikVerified email at physik.uni-wuerzburg.de
Peter RieglerProfessor of Mathematics, Ostfalia University of Applied SciencesVerified email at ostfalia.de
Ernest Tonny MwebazeResearch ScientistVerified email at sunbird.ai
Martin FassnachtUniversitätsklinikum WürzburgVerified email at medizin.uni-wuerzburg.de
John QuinnGoogle Research, Sunbird AI, Makerere UniversityVerified email at cit.ac.ug
J.J.G. (Gert-Jan) de VriesPhilips ResearchVerified email at philips.com
Stefanie HahnerUniversity Hospital WürzburgVerified email at ukw.de
Ioannis GiotisZiuz Visual IntelligenceVerified email at rug.nl
Aree WitoelarPostdoctoral Fellow, University of OsloVerified email at medisin.uio.no
Peter TinoProfessor of Complex and Adaptive Systems, University of Birmingham, UKVerified email at cs.bham.ac.uk
Gyan BhanotProfessor, Rutgers UniversityVerified email at rutgers.edu
Saleem ZaroubiProfessor of AstrophysicsVerified email at astro.rug.nl
Marika KadenHochschule MittweidaVerified email at hs-mittweida.de
Rick van VeenUniversity of GroningenVerified email at rug.nl

Michael Biehl

University of Groningen, Bernoulli Institute

Verified email at rug.nl - Homepage

machine learning neural networks artificial intelligence statistical physics biomedical data


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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	835	2014
Critical assessment of automated flow cytometry data analysis techniques N Aghaeepour, G Finak, The_FlowCAP_Consortium, ... Nature Methods 10, 228-238, 2013	676	2013
The statistical mechanics of learning a rule TLH Watkin, A Rau, M Biehl Reviews of Modern Physics 65 (2), 499-556, 1993	632	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	493	2011
Adaptive relevance matrices in learning vector quantization P Schneider, M Biehl, B Hammer Neural computation 21 (12), 3532-3561, 2009	471	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	420	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	384	2015
The AdaTron: an adaptive perceptron algorithm JK Anlauf, M Biehl EPL (Europhysics Letters) 10 (7), 687-692, 1989	329	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	250	2017
Learning by on-line gradient descent M Biehl, H Schwarze Journal of Physics A: Mathematical and general 28 (3), 643, 1995	220	1995
Prototype-based models in machine learning M Biehl, B Hammer, T Villmann WIREs Cogn Sci 7 (2), 92-111, 2016	193	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	172	2020
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	162	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	153	2012
Distance learning in discriminative vector quantization P Schneider, M Biehl, B Hammer Neural computation 21 (10), 2942-2969, 2009	149	2009
Dynamics and Generalization Ability of LVQ Algorithms. M Biehl, A Ghosh, B Hammer Journal of Machine Learning Research 8 (2), 2007	146	2007
A general framework for dimensionality reducing data visualization mapping K Bunte, M Biehl, B Hammer Neural Computation 24 (3), 771-804, 2012	136	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	127	2012
Anthropogenic disturbance changes the structure of arboreal tropical ant communities A Floren, A Freking, M Biehl, KE Linsenmair Ecography 24 (5), 547-554, 2001	118	2001
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	115	2010

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