Petra Schneider

John A. Lee, Petra Schneider, John A. Quinn: Advances in artificial neural networks, machine learning, and computational intelligence (ESANN 2011). Neurocomputing 90: 1-2 (2012)

Tim Geppert, Felix Reisen, Max Pillong, Volker Hähnke, Yusuf Tanrikulu, Christian P. Koch, Anna Maria Perna, Tatiana Batista Perez, Petra Schneider, Gisbert Schneider: Virtual screening for compounds that mimic protein-protein interface epitopes. Journal of Computational Chemistry 33(5): 573-579 (2012)

Kerstin Bunte, Petra Schneider, Barbara Hammer, Frank-Michael Schleif, Thomas Villmann, Michael Biehl: Limited Rank Matrix Learning, discriminative dimension reduction and visualization. Neural Networks 26: 159-173 (2012)

Shereen Fouad, Peter Tino, Somak Raychaudhury, Petra Schneider: Learning Using Privileged Information in Prototype Based Models. ICANN (2) 2012: 322-329

Michael Biehl, Kerstin Bunte, Frank-Michael Schleif, Petra Schneider, Thomas Villmann: Large margin linear discriminative visualization by Matrix Relevance Learning. IJCNN 2012: 1-8

Frank-Michael Schleif, Thomas Villmann, Barbara Hammer, Petra Schneider: Efficient Kernelized Prototype Based Classification. Int. J. Neural Syst. 21(6): 443-457 (2011)

Ernest Mwebaze, Petra Schneider, Frank-Michael Schleif, Jennifer R. Aduwo, John A. Quinn, Sven Haase, Thomas Villmann, Michael Biehl: Divergence-based classification in learning vector quantization. Neurocomputing 74(9): 1429-1435 (2011)

Petra Schneider, Tina Geweniger, Frank-Michael Schleif, Michael Biehl, Thomas Villmann: Multivariate class labeling in Robust Soft LVQ. ESANN 2011

Petra Schneider, Michael Biehl, Barbara Hammer: Hyperparameter learning in probabilistic prototype-based models. Neurocomputing 73(7-9): 1117-1124 (2010)

Petra Schneider, Kerstin Bunte, Han Stiekema, Barbara Hammer, Thomas Villmann, Michael Biehl: Regularization in matrix relevance learning. IEEE Transactions on Neural Networks 21(5): 831-840 (2010)

Ernest Mwebaze, Petra Schneider, Frank-Michael Schleif, Sven Haase, Thomas Villmann, Michael Biehl: Divergence based Learning Vector Quantization. ESANN 2010

Frank-Michael Schleif, Thomas Villmann, Barbara Hammer, Petra Schneider, Michael Biehl: Generalized Derivative Based Kernelized Learning Vector Quantization. IDEAL 2010: 21-28

Matthias Rupp, Petra Schneider, Gisbert Schneider: Distance phenomena in high-dimensional chemical descriptor spaces: Consequences for similarity-based approaches. Journal of Computational Chemistry 30(14): 2285-2296 (2009)

Petra Schneider, Michael Biehl, Barbara Hammer: Distance Learning in Discriminative Vector Quantization. Neural Computation 21(10): 2942-2969 (2009)

Petra Schneider, Michael Biehl, Barbara Hammer: Adaptive Relevance Matrices in Learning Vector Quantization. Neural Computation 21(12): 3532-3561 (2009)

Kerstin Bunte, Barbara Hammer, Petra Schneider, Michael Biehl: Nonlinear Discriminative Data Visualization. ESANN 2009

Petra Schneider, Michael Biehl, Barbara Hammer: Hyperparameter Learning in Robust Soft LVQ. ESANN 2009

Michael Biehl, Barbara Hammer, Petra Schneider, Thomas Villmann: Metric Learning for Prototype-Based Classification. Innovations in Neural Information Paradigms and Applications 2009: 183-199

Marc Strickert, Petra Schneider, Jens Keilwagen, Thomas Villmann, Michael Biehl, Barbara Hammer: Discriminatory Data Mapping by Matrix-Based Supervised Learning Metrics. ANNPR 2008: 78-89

Petra Schneider, Frank-Michael Schleif, Thomas Villmann, Michael Biehl: Generalized matrix learning vector quantizer for the analysis of spectral data. ESANN 2008: 451-456

Petra Schneider: Relevance Matrices in LVQ. Similarity-based Clustering and its Application to Medicine and Biology 2007

Petra Schneider, Michael Biehl, Barbara Hammer: Relevance matrices in LVQ. ESANN 2007: 37-42

Uli Fechner, Lutz Franke, Steffen Renner, Petra Schneider, Gisbert Schneider: Comparison of correlation vector methods for ligand-based similarity searching. Journal of Computer-Aided Molecular Design 17(10): 687-698 (2003)

Gisbert Schneider, Man-Ling Lee, Martin Stahl, Petra Schneider: De novo design of molecular architectures by evolutionary assembly of drug-derived building blocks. Journal of Computer-Aided Molecular Design 14(5): 487-494 (2000)