Obserwuj
Michael Biehl
Tytuł
Cytowane przez
Cytowane przez
Rok
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
8382014
Critical assessment of automated flow cytometry data analysis techniques
N Aghaeepour, G Finak, The_FlowCAP_Consortium, ...
Nature Methods 10, 228-238, 2013
6782013
The statistical mechanics of learning a rule
TLH Watkin, A Rau, M Biehl
Reviews of Modern Physics 65 (2), 499-556, 1993
6331993
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
4942011
Adaptive relevance matrices in learning vector quantization
P Schneider, M Biehl, B Hammer
Neural computation 21 (12), 3532-3561, 2009
4722009
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
4212010
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
3882015
The AdaTron: an adaptive perceptron algorithm
JK Anlauf, M Biehl
EPL (Europhysics Letters) 10 (7), 687-692, 1989
3301989
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
2502017
Learning by on-line gradient descent
M Biehl, H Schwarze
Journal of Physics A: Mathematical and general 28 (3), 643, 1995
2201995
Prototype-based models in machine learning
M Biehl, B Hammer, T Villmann
WIREs Cogn Sci 7 (2), 92-111, 2016
1932016
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
1752020
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
1622015
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
1532012
Distance learning in discriminative vector quantization
P Schneider, M Biehl, B Hammer
Neural computation 21 (10), 2942-2969, 2009
1492009
Dynamics and Generalization Ability of LVQ Algorithms.
M Biehl, A Ghosh, B Hammer
Journal of Machine Learning Research 8 (2), 2007
1462007
A general framework for dimensionality reducing data visualization mapping
K Bunte, M Biehl, B Hammer
Neural Computation 24 (3), 771-804, 2012
1362012
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
1262012
Anthropogenic disturbance changes the structure of arboreal tropical ant communities
A Floren, A Freking, M Biehl, KE Linsenmair
Ecography 24 (5), 547-554, 2001
1182001
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
1152010
Nie można teraz wykonać tej operacji. Spróbuj ponownie później.
Prace 1–20