Petra Schneider

According to our database1, Petra Schneider authored at least 31 papers between 2000 and 2015.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2015
Stationarity of Matrix Relevance LVQ.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014
Targeting Dynamic Pockets of HIV-1 Protease by Structure-Based Computational Screening for Allosteric Inhibitors.
J. Chem. Inf. Model., 2014

Go with the flow: de-orphaning focused combinatorial libraries.
J. Cheminformatics, 2014

Target prediction by cascaded self-organizing maps for ligand de-orphaning and side-effect investigation.
J. Cheminformatics, 2014

Targeting flexibility: a structure-based computational study revealing allosteric HIV-1 protease inhibitors.
J. Cheminformatics, 2014

2013
Incorporating Privileged Information Through Metric Learning.
IEEE Trans. Neural Networks Learn. Syst., 2013

2012
Limited Rank Matrix Learning, discriminative dimension reduction and visualization.
Neural Networks, 2012

Virtual screening for compounds that mimic protein-protein interface epitopes.
J. Comput. Chem., 2012

Advances in artificial neural networks, machine learning, and computational intelligence (ESANN 2011).
Neurocomputing, 2012

Large margin linear discriminative visualization by Matrix Relevance Learning.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Learning Using Privileged Information in Prototype Based Models.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

Matrix relevance LVQ in steroid metabolomics based classification of adrenal tumors.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

2011
Divergence-based classification in learning vector quantization.
Neurocomputing, 2011

Efficient Kernelized Prototype Based Classification.
Int. J. Neural Syst., 2011

Multivariate class labeling in Robust Soft LVQ.
Proceedings of the ESANN 2011, 2011

2010
Regularization in matrix relevance learning.
IEEE Trans. Neural Networks, 2010

Hyperparameter learning in probabilistic prototype-based models.
Neurocomputing, 2010

Generalized Derivative Based Kernelized Learning Vector Quantization.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2010

Divergence based Learning Vector Quantization.
Proceedings of the ESANN 2010, 2010

2009
Metric Learning for Prototype-Based Classification.
Proceedings of the Innovations in Neural Information Paradigms and Applications, 2009

Adaptive Relevance Matrices in Learning Vector Quantization.
Neural Comput., 2009

Distance Learning in Discriminative Vector Quantization.
Neural Comput., 2009

Distance phenomena in high-dimensional chemical descriptor spaces: Consequences for similarity-based approaches.
J. Comput. Chem., 2009

Hyperparameter Learning in Robust Soft LVQ.
Proceedings of the ESANN 2009, 2009

Nonlinear Discriminative Data Visualization.
Proceedings of the ESANN 2009, 2009

2008
Generalized matrix learning vector quantizer for the analysis of spectral data.
Proceedings of the ESANN 2008, 2008

Discriminatory Data Mapping by Matrix-Based Supervised Learning Metrics.
Proceedings of the Artificial Neural Networks in Pattern Recognition, Third IAPR Workshop, 2008

2007
Relevance matrices in LVQ.
Proceedings of the ESANN 2007, 2007

Relevance Matrices in LVQ.
Proceedings of the Similarity-based Clustering and its Application to Medicine and Biology, 25.03., 2007

2003
Comparison of correlation vector methods for ligand-based similarity searching.
J. Comput. Aided Mol. Des., 2003

2000
De novo design of molecular architectures by evolutionary assembly of drug-derived building blocks.
J. Comput. Aided Mol. Des., 2000


  Loading...