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Advances in artificial neural networks, machine learning and computational intelligence
(2022)
Oneto, Luca
;
Navarin, Nicolò
;
Schleif, Frank-Michael
Domain adversarial tangent subspace alignment for explainable domain adaptation
(2022)
Raab, Christoph
;
Röder, Manuel
;
Schleif, Frank-Michael
Data-Driven Supervised Learning for Life Science Data
(2020)
Münch, Maximilian
;
Raab, Christoph
;
Biehl, Michael
;
Schleif, Frank-Michael
Sparsification of core set models in non-metric supervised learning
(2020)
Schleif, Frank-Michael
;
Raab, Christoph
;
Tiño, Peter
Reactive Soft Prototype Computing for Concept Drift Streams
(2020)
Raab, Christoph
;
Heusinger, Moritz
;
Schleif, Frank-Michael
Transfer learning extensions for the probabilistic classification vector machine
(2020)
Raab, Christoph
;
Schleif, Frank-Michael
Recent trends in computational intelligence in life sciences
(2011)
Seiffert, Udo
;
Schleif, Frank-Michael
;
Zühlke, Dietlind
Neural Maps and Learning Vector Quantization - Theory and Applications
(2009)
Schleif, Frank-Michael
;
Villmann, Thomas
Sparse representation of data
(2010)
Villmann, Thomas
;
Schleif, Frank-Michael
;
Hammer, Barbara
Visualization of Fuzzy Information in Fuzzy-Classification for Image Segmentation using MDS
(2007)
Villmann, Thomas
;
Strickert, Marc
;
Brüß, Cornelia
;
Schleif, Frank-Michael
;
Seiffert, Udo
Mathematical Foundations of the Self Organized Neighbor Embedding (SONE) for Dimension Reduction and Visualization
(2011)
Bunte, Kerstin
;
Schleif, Frank-Michael
;
Haase, Sven
;
Villmann, Thomas
Generalized matrix learning vector quantizer for the analysis of spectral data
(2008)
Schneider, Petra
;
Schleif, Frank-Michael
;
Villmann, Thomas
;
Biehl, Michael
Divergence based Learning Vector Quantization
(2010)
Mwebaze, Ernest
;
Schneider, Petra
;
Schleif, Frank-Michael
;
Haase, Sven
;
Villmann, Thomas
;
Biehl, Michael
Learning vector quantization for heterogeneous structured data
(2010)
Zühlke, Dietlind
;
Schleif, Frank-Michael
;
Geweniger, Tina
;
Haase, Sven
;
Villmann, Thomas
Multivariate class labeling in Robust Soft LVQ
(2011)
Schneider, Petra
;
Geweniger, Tina
;
Schleif, Frank-Michael
;
Biehl, Michael
;
Villmann, Thomas
Metric adaptation for supervised attribute rating
(2008)
Strickert, Marc
;
Schleif, Frank-Michael
;
Villmann, Thomas
Margin based Active Learning for LVQ Networks
(2006)
Schleif, Frank-Michael
;
Hammer, Barbara
;
Villmann, Thomas
Fuzzy image segmentation with Fuzzy Labelled Neural Gas
(2006)
Brüß, Cornelia
;
Bollenbeck, Felix
;
Schleif, Frank-Michael
;
Weschke, Winfriede
;
Villmann, Thomas
;
Seiffert, Udo
Fast approximated relational and kernel clustering
(2012)
Schleif, Frank-Michael
;
Zhu, Xibin
;
Gisbrecht, Andrej
;
Hammer, Barbara
Sparse Coding Neural Gas for Analysis of Nuclear Magnetic Resonance Spectroscopy
(2008)
Schleif, Frank-Michael
;
Ongyerth, Matthias
;
Villmann, Thomas
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