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K. Bunte, M. Biehl and B. Hammer
Neural Computation, vol. 24 (3), pp. 771-804
A General Framework for Dimensionality-Reducing Data Visualization Mapping
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K. Bunte
Künstliche Intelligenz, vol. 26 (4), pp. 417-418
Adaptive Dissimilarity Measures, Dimension Reduction and Visualization (University of Groningen)
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K. Bunte, F. Schleif and M. Biehl
Proc. of the 20th European Symposium on Artificial Neural Networks (ESANN), eds. M. Verleysen, Bruges, Belgium, pp. 387-392
Adaptive learning for complex-valued data
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A. Schulz, A. Gisbrecht, K. Bunte and B. Hammer
New Challenges in Neural Computation (NC²), eds. Barbara Hammer and Thomas Villmann, Graz, Austria, pp. 73-83
How to visualize a classifier?
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M. Biehl, K. Bunte, B. Hammer, F. Schleif, P. Schneider and T. Villmann
Proc. of the International Joint Conference on Neural Networks (IJCNN), eds. Hussein Abbass, Daryl Essam and Ruhul Sarker, Brisbane, Australia, pp. 1873-1880
Large Margin Linear Discriminative Visualization by Matrix Relevance Learning
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K. Bunte, P. Schneider, B. Hammer, F. Schleif, T. Villmann and M. Biehl
Neural Networks, vol. 26 (4), pp. 159-173
Limited Rank Matrix Learning - Discriminative Dimension Reduction and Visualization
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K. Bunte, S. Haase, M. Biehl and T. Villmann
Neurocomputing, vol. 90 (1), pp. 23-45
Stochastic Neighbor Embedding (SNE) for Dimension Reduction and Visualization using arbitrary Divergences
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M. B. Huber, K. Bunte, M. B. Nagarajan, M. Biehl, L. A. Ray and A. Wismüller
Artificial Intelligence in Medicine, vol. 56 (2), pp. 91-97
Texture Feature Ranking with Relevance Learning to Classify Interstitial Lung Disease Patterns
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G. Peters, K. Bunte, M. Strickert, M. Biehl and T. Villmann
Proc. of the 3rd Workshop on Trustworthy Self-Organizing Systems (TSOS), Paris, France, pp. 244-249
Visualization of Processes in Self-Learning Systems
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