Petra Schneider

Publication Activity (10 Years)

Years Active: 2000-2021
Publications (10 Years): 1

Top Topics

Metric Learning

Dimension Reduction

Privileged Information

Computational Finance

Top Venues

J. Cheminformatics

Publications

Fengqing Li, Isakbek Torgoev, Damir Zaredinov, Marina Li, Bekhzod Talipov, Anna Belousova, Christian Kunze, Petra Schneider
Landslide-Induced Mass Transport of Radionuclides along Transboundary Mailuu-Suu River Networks in Central Asia. Remote. Sens. 13 (4) (2021)
Michael Biehl, Barbara Hammer, Frank-Michael Schleif, Petra Schneider, Thomas Villmann
Stationarity of Matrix Relevance LVQ. IJCNN (2015)
Daniel Reker, Tiago Rodrigues, Petra Schneider, Gisbert Schneider
Target prediction by cascaded self-organizing maps for ligand de-orphaning and side-effect investigation. J. Cheminformatics 6 (S-1) (2014)
Michael Reutlinger, Tiago Rodrigues, Petra Schneider, Gisbert Schneider
Go with the flow: de-orphaning focused combinatorial libraries. J. Cheminformatics 6 (S-1) (2014)
Jens Kunze, Nickolay Todoroff, Tiago Rodrigues, Petra Schneider, Gisbert Schneider
Targeting flexibility: a structure-based computational study revealing allosteric HIV-1 protease inhibitors. J. Cheminformatics 6 (S-1) (2014)
Jens Kunze, Nickolay Todoroff, Petra Schneider, Tiago Rodrigues, Tim Geppert, Felix Reisen, Herman Schreuder, Joachim Saas, Gerhard Hessler, Karl-Heinz Baringhaus, Gisbert Schneider
Targeting Dynamic Pockets of HIV-1 Protease by Structure-Based Computational Screening for Allosteric Inhibitors. J. Chem. Inf. Model. 54 (3) (2014)
Shereen Fouad, Peter Tiño, Somak Raychaudhury, Petra Schneider
Incorporating Privileged Information Through Metric Learning. IEEE Trans. Neural Networks Learn. Syst. 24 (7) (2013)
Shereen Fouad, Peter Tiño, Somak Raychaudhury, Petra Schneider
Learning Using Privileged Information in Prototype Based Models. ICANN (2) (2012)
John Aldo Lee, Petra Schneider, John A. Quinn
Advances in artificial neural networks, machine learning, and computational intelligence (ESANN 2011). Neurocomputing 90 (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. J. Comput. Chem. 33 (5) (2012)
Michael Biehl, Petra Schneider, David Smith, Han Stiekema, Angela Taylor, Beverly Hughes, Cedric Shackleton, Paul Stewart, Wiebke Arlt
Matrix relevance LVQ in steroid metabolomics based classification of adrenal tumors. ESANN (2012)
Michael Biehl, Kerstin Bunte, Frank-Michael Schleif, Petra Schneider, Thomas Villmann
Large margin linear discriminative visualization by Matrix Relevance Learning. IJCNN (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 (2012)
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) (2011)
Petra Schneider, Tina Geweniger, Frank-Michael Schleif, Michael Biehl, Thomas Villmann
Multivariate class labeling in Robust Soft LVQ. ESANN (2011)
Frank-Michael Schleif, Thomas Villmann, Barbara Hammer, Petra Schneider
Efficient Kernelized Prototype Based Classification. Int. J. Neural Syst. 21 (6) (2011)
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)
Petra Schneider, Kerstin Bunte, Han Stiekema, Barbara Hammer, Thomas Villmann, Michael Biehl
Regularization in matrix relevance learning. IEEE Trans. Neural Networks 21 (5) (2010)
Petra Schneider, Michael Biehl, Barbara Hammer
Hyperparameter learning in probabilistic prototype-based models. Neurocomputing 73 (7-9) (2010)
Petra Schneider, Michael Biehl, Barbara Hammer
Hyperparameter Learning in Robust Soft LVQ. ESANN (2009)
Petra Schneider, Michael Biehl, Barbara Hammer
Distance Learning in Discriminative Vector Quantization. Neural Comput. 21 (10) (2009)
Matthias Rupp, Petra Schneider, Gisbert Schneider
Distance phenomena in high-dimensional chemical descriptor spaces: Consequences for similarity-based approaches. J. Comput. Chem. 30 (14) (2009)
Kerstin Bunte, Barbara Hammer, Petra Schneider, Michael Biehl
Nonlinear Discriminative Data Visualization. ESANN (2009)
Petra Schneider, Michael Biehl, Barbara Hammer
Adaptive Relevance Matrices in Learning Vector Quantization. Neural Comput. 21 (12) (2009)
Marc Strickert, Petra Schneider, Jens Keilwagen, Thomas Villmann, Michael Biehl, Barbara Hammer
Discriminatory Data Mapping by Matrix-Based Supervised Learning Metrics. ANNPR (2008)
Petra Schneider, Frank-Michael Schleif, Thomas Villmann, Michael Biehl
Generalized matrix learning vector quantizer for the analysis of spectral data. ESANN (2008)
Petra Schneider, Michael Biehl, Barbara Hammer
Relevance matrices in LVQ. ESANN (2007)
Petra Schneider
Relevance Matrices in LVQ. Similarity-based Clustering and its Application to Medicine and Biology (2007)
Uli Fechner, Lutz Franke, Steffen Renner, Petra Schneider, Gisbert Schneider
Comparison of correlation vector methods for ligand-based similarity searching. J. Comput. Aided Mol. Des. 17 (10) (2003)
Gisbert Schneider, Man-Ling Lee, Martin Stahl, Petra Schneider
De novo design of molecular architectures by evolutionary assembly of drug-derived building blocks. J. Comput. Aided Mol. Des. 14 (5) (2000)