Kerstin Bunte
Cited by
Cited by
Critical assessment of automated flow cytometry data analysis techniques
N Aghaeepour, G Finak, FlowCAP Consortium, Dream Consortium, ...
Nature methods 10 (3), 228-238, 2013
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
A general framework for dimensionality-reducing data visualization mapping
K Bunte, M Biehl, B Hammer
Neural Computation 24 (3), 771-804, 2012
Stochastic neighbor embedding (SNE) for dimension reduction and visualization using arbitrary divergences
K Bunte, S Haase, M Biehl, T Villmann
Neurocomputing 90, 23-45, 2012
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
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
Crowdsourced assessment of common genetic contribution to predicting anti-TNF treatment response in rheumatoid arthritis
SK Sieberts, F Zhu, J García-García, E Stahl, A Pratap, G Pandey, ...
Nature communications 7 (1), 12460, 2016
Adaptive local dissimilarity measures for discriminative dimension reduction of labeled data
K Bunte, B Hammer, A Wismüller, M Biehl
Neurocomputing 73 (7-9), 1074-1092, 2010
Exploratory observation machine (XOM) with Kullback-Leibler divergence for dimensionality reduction and visualization
K Bunte, B Hammer, T Villmann, M Biehl, A Wismüller
18th European Symposium on Artificial Neural Networks (ESANN 2010), 87-92, 2010
Neighbor embedding XOM for dimension reduction and visualization
K Bunte, B Hammer, T Villmann, M Biehl, A Wismüller
Neurocomputing 74 (9), 1340-1350, 2011
Texture feature ranking with relevance learning to classify interstitial lung disease patterns
MB Huber, K Bunte, MB Nagarajan, M Biehl, LA Ray, A Wismüller
Artificial intelligence in medicine 56 (2), 91-97, 2012
Analysis of flow cytometry data by matrix relevance learning vector quantization
M Biehl, K Bunte, P Schneider
PLoS One 8 (3), e59401, 2013
Sparse group factor analysis for biclustering of multiple data sources
K Bunte, E Leppäaho, I Saarinen, S Kaski
Bioinformatics 32 (16), 2457-2463, 2016
Waypoint averaging and step size control in learning by gradient descent
G Papari, K Bunte, M Biehl
Machine Learning Reports 6, 16, 2011
Large margin linear discriminative visualization by matrix relevance learning
M Biehl, K Bunte, FM Schleif, P Schneider, T Villmann
The 2012 International Joint Conference on Neural Networks (IJCNN), 1-8, 2012
Positive and negative parenting in conduct disorder with high versus low levels of callous–unemotional traits
R Pauli, P Tino, JC Rogers, R Baker, R Clanton, P Birch, A Brown, ...
Development and psychopathology 33 (3), 980-991, 2021
A community challenge for inferring genetic predictors of gene essentialities through analysis of a functional screen of cancer cell lines
M Gönen, BA Weir, GS Cowley, F Vazquez, Y Guan, A Jaiswal, ...
Cell systems 5 (5), 485-497. e3, 2017
Optimal neighborhood preserving visualization by maximum satisfiability
K Bunte, M Järvisalo, J Berg, P Myllymäki, J Peltonen, S Kaski
Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014
Learning pharmacokinetic models for in vivo glucocorticoid activation
K Bunte, DJ Smith, MJ Chappell, ZK Hassan-Smith, JW Tomlinson, W Arlt, ...
Journal of Theoretical Biology 455, 222-231, 2018
Discriminative visualization by limited rank matrix learning
K Bunte, P Schneider, B Hammer, FM Schleif, T Villmann, M Biehl
Machine Learning Reports 2, 37-51, 2008
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