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Petra Schneider
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2020 – today
- 2021
- [j18]Fengqing Li
, Isakbek Torgoev
Landslide-Induced Mass Transport of Radionuclides along Transboundary Mailuu-Suu River Networks in Central Asia. Remote. Sens. 13(4): 698 (2021)
2010 – 2019
- 2015
- [c12]Michael Biehl
Stationarity of Matrix Relevance LVQ. IJCNN 2015: 1-8 - 2014
- [j17]Daniel Reker, Tiago Rodrigues
Target prediction by cascaded self-organizing maps for ligand de-orphaning and side-effect investigation. J. Cheminformatics 6(S-1): 47 (2014) - [j16]Jens Kunze, Nickolay Todoroff, Tiago Rodrigues
Targeting flexibility: a structure-based computational study revealing allosteric HIV-1 protease inhibitors. J. Cheminformatics 6(S-1): 48 (2014) - [j15]Michael Reutlinger, Tiago Rodrigues
Go with the flow: de-orphaning focused combinatorial libraries. J. Cheminformatics 6(S-1): 49 (2014) - [j14]Jens Kunze, Nickolay Todoroff, Petra Schneider, Tiago Rodrigues
Targeting Dynamic Pockets of HIV-1 Protease by Structure-Based Computational Screening for Allosteric Inhibitors. J. Chem. Inf. Model. 54(3): 987-991 (2014) - 2013
- [j13]Shereen Fouad
Incorporating Privileged Information Through Metric Learning. IEEE Trans. Neural Networks Learn. Syst. 24(7): 1086-1098 (2013) - 2012
- [j12]John Aldo Lee
Advances in artificial neural networks, machine learning, and computational intelligence (ESANN 2011). Neurocomputing 90: 1-2 (2012) - [j11]Tim Geppert, Felix Reisen, Max Pillong, Volker Hähnke
Virtual screening for compounds that mimic protein-protein interface epitopes. J. Comput. Chem. 33(5): 573-579 (2012) - [j10]Kerstin Bunte
Limited Rank Matrix Learning, discriminative dimension reduction and visualization. Neural Networks 26: 159-173 (2012) - [c11]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 - [c10]Shereen Fouad
Learning Using Privileged Information in Prototype Based Models. ICANN (2) 2012: 322-329 - [c9]Michael Biehl
Large margin linear discriminative visualization by Matrix Relevance Learning. IJCNN 2012: 1-8 - 2011
- [j9]Frank-Michael Schleif
Efficient Kernelized Prototype Based Classification. Int. J. Neural Syst. 21(6): 443-457 (2011) - [j8]Ernest Mwebaze, Petra Schneider, Frank-Michael Schleif
Divergence-based classification in learning vector quantization. Neurocomputing 74(9): 1429-1435 (2011) - [c8]Petra Schneider, Tina Geweniger, Frank-Michael Schleif
Multivariate class labeling in Robust Soft LVQ. ESANN 2011 - 2010
- [j7]Petra Schneider, Michael Biehl
Hyperparameter learning in probabilistic prototype-based models. Neurocomputing 73(7-9): 1117-1124 (2010) - [j6]Petra Schneider, Kerstin Bunte
Regularization in matrix relevance learning. IEEE Trans. Neural Networks 21(5): 831-840 (2010) - [c7]Ernest Mwebaze, Petra Schneider, Frank-Michael Schleif
Divergence based Learning Vector Quantization. ESANN 2010 - [c6]Frank-Michael Schleif
Generalized Derivative Based Kernelized Learning Vector Quantization. IDEAL 2010: 21-28
2000 – 2009
- 2009
- [j5]Matthias Rupp
Distance phenomena in high-dimensional chemical descriptor spaces: Consequences for similarity-based approaches. J. Comput. Chem. 30(14): 2285-2296 (2009) - [j4]Petra Schneider, Michael Biehl
Distance Learning in Discriminative Vector Quantization. Neural Comput. 21(10): 2942-2969 (2009) - [j3]Petra Schneider, Michael Biehl
Adaptive Relevance Matrices in Learning Vector Quantization. Neural Comput. 21(12): 3532-3561 (2009) - [c5]Kerstin Bunte, Barbara Hammer, Petra Schneider, Michael Biehl:
Nonlinear Discriminative Data Visualization. ESANN 2009 - [c4]Petra Schneider, Michael Biehl, Barbara Hammer:
Hyperparameter Learning in Robust Soft LVQ. ESANN 2009 - [p1]Michael Biehl
Metric Learning for Prototype-Based Classification. Innovations in Neural Information Paradigms and Applications 2009: 183-199 - 2008
- [c3]Marc Strickert, Petra Schneider, Jens Keilwagen
Discriminatory Data Mapping by Matrix-Based Supervised Learning Metrics. ANNPR 2008: 78-89 - [c2]Petra Schneider, Frank-Michael Schleif
Generalized matrix learning vector quantizer for the analysis of spectral data. ESANN 2008: 451-456 - 2007
- [c1]Petra Schneider, Michael Biehl, Barbara Hammer:
Relevance matrices in LVQ. ESANN 2007: 37-42 - [i1]Petra Schneider:
Relevance Matrices in LVQ. Similarity-based Clustering and its Application to Medicine and Biology 2007 - 2003
- [j2]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): 687-698 (2003) - 2000
- [j1]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): 487-494 (2000)
Coauthor Index
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