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
Wiebke ArltInstitute of Metabolism and Systems Research (IMSR), University of Birmingham, UKVerified email at bham.ac.uk
Frank-Michael SchleifProfessor of Computational Intelligence, UAS Würzburg-SchweinfurtVerified email at fhws.de
Angela Elizabeth Taylor ORCID 0000-...University of BirminghamVerified email at bham.ac.uk
Wolfgang KinzelProfessor für Theoretische PhysikVerified email at physik.uni-wuerzburg.de
Nicolai PetkovUniversity of GroningenVerified email at rug.nl
Peter RieglerVerified 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
Aree WitoelarPostdoctoral Fellow, University of OsloVerified email at medisin.uio.no
Stefanie HahnerUniversity Hospital WürzburgVerified email at ukw.de
Ioannis GiotisZiuz Visual IntelligenceVerified email at rug.nl
Michiel StraatPhD Student Intelligent Systems, University of GroningenVerified email at rug.nl
Gyan BhanotProfessor, Rutgers UniversityVerified email at rutgers.edu
Saleem ZaroubiProfessor of AstrophysicsVerified email at astro.rug.nl
Nestor CatichaUniversidade de Sao PauloVerified email at usp.br
J.J.G. (Gert-Jan) de VriesPhilips ResearchVerified email at philips.com

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	683	2014
Critical assessment of automated flow cytometry data analysis techniques N Aghaeepour, G Finak, The_FlowCAP_Consortium, ... Nature Methods 10, 228-238, 2013	589	2013
The statistical mechanics of learning a rule TLH Watkin, A Rau, M Biehl Reviews of Modern Physics 65 (2), 499-556, 1993	571	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	419	2011
Adaptive relevance matrices in learning vector quantization P Schneider, M Biehl, B Hammer Neural computation 21 (12), 3532-3561, 2009	393	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	332	2010
The AdaTron: an adaptive perceptron algorithm JK Anlauf, M Biehl EPL (Europhysics Letters) 10 (7), 687-692, 1989	307	1989
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	221	2015
Learning by on-line gradient descent M Biehl, H Schwarze Journal of Physics A: Mathematical and general 28 (3), 643, 1995	184	1995
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	173	2017
Dynamics and Generalization Ability of LVQ Algorithms. M Biehl, A Ghosh, B Hammer Journal of Machine Learning Research 8 (2), 2007	132	2007
Distance learning in discriminative vector quantization P Schneider, M Biehl, B Hammer Neural computation 21 (10), 2942-2969, 2009	131	2009
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	129	2012
Prototype-based models in machine learning M Biehl, B Hammer, T Villmann WIREs Cogn Sci 7 (2), 92-111, 2016	114	2016
A general framework for dimensionality reducing data visualization mapping K Bunte, M Biehl, B Hammer Neural Computation 24 (3), 771-804, 2012	113	2012
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	112	2015
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	106	2010
Anthropogenic disturbance changes the structure of arboreal tropical ant communities A Floren, A Freking, M Biehl, KE Linsenmair Ecography 24 (5), 547-554, 2001	106	2001
Learning effective color features for content based image retrieval in dermatology K BUNTE, M BIEHL, MF JONKMAN, N PETKOV Pattern recognition 44 (9), 1892-1902, 2011	95	2011
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	94	2012

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