Michael Biehl

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Barbara HammerProfessor, Bielefeld UniversityEmail verificata su techfak.uni-bielefeld.de
Thomas VillmannProfessor for Mathematics and Computational Intelligence, University of Applied Sciences MittweidaEmail verificata su hs-mittweida.de
Kerstin BunteRosalind Franklin Fellow at the University of GroningenEmail verificata su rug.nl
Frank-Michael SchleifProfessor of Computational Intelligence, Technical-UAS Würzburg-SchweinfurtEmail verificata su thws.de
Angela Elizabeth Taylor ORCID 0000-...University of BirminghamEmail verificata su bham.ac.uk
Nicolai PetkovUniversity of GroningenEmail verificata su rug.nl
Wolfgang KinzelProfessor für Theoretische PhysikEmail verificata su physik.uni-wuerzburg.de
Peter RieglerProfessor of Mathematics, Ostfalia University of Applied SciencesEmail verificata su ostfalia.de
Ernest Tonny MwebazeResearch ScientistEmail verificata su sunbird.ai
Martin FassnachtUniversitätsklinikum WürzburgEmail verificata su medizin.uni-wuerzburg.de
John QuinnGoogle Research, Sunbird AI, Makerere UniversityEmail verificata su cit.ac.ug
J.J.G. (Gert-Jan) de VriesPhilips ResearchEmail verificata su philips.com
Stefanie HahnerUniversity Hospital WürzburgEmail verificata su ukw.de
Ioannis GiotisZiuz Visual IntelligenceEmail verificata su rug.nl
Aree WitoelarPostdoctoral Fellow, University of OsloEmail verificata su medisin.uio.no
Peter TinoProfessor of Complex and Adaptive Systems, University of Birmingham, UKEmail verificata su bham.ac.uk
Gyan BhanotProfessor, Rutgers UniversityEmail verificata su rutgers.edu
Saleem ZaroubiProfessor of AstrophysicsEmail verificata su astro.rug.nl
Marika KadenHochschule MittweidaEmail verificata su hs-mittweida.de
Rick van VeenUniversity of GroningenEmail verificata su rug.nl

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Michael Biehl

University of Groningen, Bernoulli Institute

Email verificata su rug.nl - Home page

machine learning neural networks artificial intelligence statistical physics biomedical data


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
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	851	2014
Critical assessment of automated flow cytometry data analysis techniques N Aghaeepour, G Finak, The_FlowCAP_Consortium, ... Nature Methods 10, 228-238, 2013	684	2013
The statistical mechanics of learning a rule TLH Watkin, A Rau, M Biehl Reviews of Modern Physics 65 (2), 499-556, 1993	638	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	497	2011
Adaptive relevance matrices in learning vector quantization P Schneider, M Biehl, B Hammer Neural computation 21 (12), 3532-3561, 2009	475	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	433	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	395	2015
The AdaTron: an adaptive perceptron algorithm JK Anlauf, M Biehl EPL (Europhysics Letters) 10 (7), 687-692, 1989	332	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	253	2017
Learning by on-line gradient descent M Biehl, H Schwarze Journal of Physics A: Mathematical and general 28 (3), 643, 1995	225	1995
Prototype-based models in machine learning M Biehl, B Hammer, T Villmann WIREs Cogn Sci 7 (2), 92-111, 2016	196	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	181	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	128	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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