Frequently cited papers (only 2007-2017)
Among the top 1% of their year ...
... in Computer Science:
P. Schneider, M. Biehl, B. Hammer
... in Biology and Biochemistry:
N. Aghaeepour, G. Finak, H. Hoos, et al.
... in Molecular Biology and Genetics:
C.F. Davies, C.J. Ricketts, M. Wang et al.
... in Clinical Medicine:
W. Arlt, M. Biehl, A.E. Taylor et al.
W. Arlt, K. Lang, A. Sitch et al.
Among the top 10% of their year in ...
... in Clinical Medicine:
L. Yeo, N. Adlard, M. Biehl, M. Juarez,
T. Smallie, M. Snow, C.D. Buckley, K. Raza, A. File,
D. Scheel-Toellner
... in Space Sciences:
A. Offringa, A.G. De Bruyn, M. Biehl et al.
...in Computer Science:
M. Biehl, B. Hammer, T. Villmann
I. Giotis, N. Molders, S. Land, M. Biehl, M.F. Jonkman, N. Petkov
G.-J. de Vries, S. Pauws, M. Biehl
M. Biehl, K. Bunte, P. Schneider
K. Bunte, M. Biehl, B. Hammer
K. Bunte, P. Schneider, B. Hammer, F.-M. Schleif, T. Villmann, M. Biehl
K. Bunte, S. Haase, M. Biehl, T. Villmann
E. Mwebaze, P. Schneider, F.-M. Schleif, J.R. Aduwo,
J.A. Quinn, S. Haase, T. Villmann, M. Biehl
K. Bunte, M. Biehl, M.F. Jonkman, N. Petkov
K. Bunte, B. Hammer, T. Villmann, M. Biehl, A. Wismüller
K. Bunte, B. Hammer, A. Wismüller et al.
P. Schneider, K. Bunte, H. Stiekema, B. Hammer, T. Villmann, M. Biehl
P. Schneider, M. Biehl, B. Hammer
M. Biehl, A. Ghosh, and B. Hammer
according to Thomson Web of Science, as of January 2018
Adaptive Relevance Matrices in Learning Vector Quantization
Neural Computation 21, 3532-3561 (2009)
Critical assessment of automated flow cytometry data analysis techniqes
Nature Methods 10, 228-238 (2013)
The Somatic Genomic Landscape of Chromophobe Renal Cell Carcinoma
Cancer Cell 26: 319-330 (2014)
Urine steroid metabolomics as a biomarker tool for detecting malignancy in adrenal tumors
J. of Clinical Endocrinology and Metabolism 96, 375-3784 (2011)
Steroid metabolome analysis reveals prevalent glucocorticoid
excess in primary aldosteroinism
J. of Clinical Investigation JCI Insight 2(8), 2017 (online, open access)
Expression of Chemokines CXCL4 and CXCL7 by
synovial macrophages defines an early stage
of rheumatoid arthritis
Annals of the Rheumatic Diseases 75: 763-771 (2015))
Post-correlation radio frequency interference classification methods
Monthly Notices of the Royal Astronomical Society 405, 155-167 (2010)
Prototype-based models in machine learning
Wiley Interdisciplinary Reviews (WIRES): Cognitive Science (2016)
MED-NODE: a computer-assisted melanoma diagnosis system using
non-dermoscopic images
Expert Systems with Applications 42(19): 6578-6585 (2015)
Insightful stress detection from physiology
modalities using Learning Vector Quantization
Neurocomputing 151: 873-882 (2015))
Analysis of Flow Cytometry Data by Matrix
Relevance Learning Vector Quantization
Plos One 8 (2013)
A General Framework for Dimensionality-Reducing Data Visualzation Mapping
Neural Computation 24: 771-804 (2012)
Limited Rank Matrix Learning, discriminative dimension reduction and visualization
Neural Networks 26: 159-173 (2012)
Stochastic Neighbor Embedding (SNE) for Dimension Reduction
and Visualization using arbitrary Divergences
Neurocomputing 40:23-45 (2012)
Divergence-based classification in Learning Vector Quantization
Neurocomputing 74: 1429-1435 (2011)
Learning Effective Color Features for Content Based Image Retrieval in Dermatology
Pattern Recognition 44: 1892-1902 (2011)
Neighbor Embedding XOM for dimension reduction and visualization
Neurocomputing 74: 1340-1350 (2011)
Adaptive local dissimilarity measures for discriminative
dimension reduction of labeled data
Neurocomputing 73: 1074-1092 (2010)
Regularization in Matrix Relevance Learning
IEEE Trans. Neural Networks 21, 831-840 (2010)
Distance Learning in Discriminative Vector Quantization
Neural Computation 21, 2942-2969 (2009)
Dynamics and generalization ability of LVQ algorithms
J. Machine Learning Research 8:323-360 (2007)