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Petra Schneider - Publications

Affiliations: 
2006-2010 Computer Science University of Groningen, Groningen, Netherlands 
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15 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2020 Bruns D, Gawehn E, Kumar KS, Schneider P, Baumgartner M, Schneider G. Cover Feature: Identification of Synthetic Activators of Cancer Cell Migration by Hybrid Deep Learning (ChemBioChem 4/2020) Chembiochem. 21: 431-431. DOI: 10.1002/cbic.202000041  0.38
2019 Bruns D, Gawehn E, Kumar KS, Schneider P, Baumgartner M, Schneider G. Identification of synthetic activators of cancer cell migration by hybrid deep learning. Chembiochem : a European Journal of Chemical Biology. PMID 31418992 DOI: 10.1002/cbic.201900346  0.33
2017 Reker D, Schneider P, Schneider G, Brown JB. Active learning for computational chemogenomics. Future Medicinal Chemistry. PMID 28263088 DOI: 10.4155/fmc-2016-0197  0.326
2017 Schneider P, Müller AT, Gabernet G, Button AL, Posselt G, Wessler S, Hiss JA, Schneider G. Hybrid Network Model for "Deep Learning" of Chemical Data: Application to Antimicrobial Peptides. Molecular Informatics. 36. PMID 28124834 DOI: 10.1002/minf.201600011  0.32
2013 Fouad S, Tino P, Raychaudhury S, Schneider P. Incorporating privileged information through metric learning Ieee Transactions On Neural Networks and Learning Systems. 24: 1086-1098. PMID 24808523 DOI: 10.1109/Tnnls.2013.2251470  0.469
2013 Biehl M, Bunte K, Schneider P. Analysis of Flow Cytometry Data by Matrix Relevance Learning Vector Quantization Plos One. 8. PMID 23527184 DOI: 10.1371/Journal.Pone.0059401  0.746
2012 Bunte K, Schneider P, Hammer B, Schleif FM, Villmann T, Biehl M. Limited Rank Matrix Learning, discriminative dimension reduction and visualization Neural Networks. 26: 159-173. PMID 22041220 DOI: 10.1016/J.Neunet.2011.10.001  0.74
2011 Schleif FM, Villmann T, Hammer B, Schneider P. Efficient Kernelized prototype based classification. International Journal of Neural Systems. 21: 443-57. PMID 22131298 DOI: 10.1142/S012906571100295X  0.571
2011 Arlt W, Biehl M, Taylor AE, Hahner S, Libé R, Hughes BA, Schneider P, Smith DJ, Stiekema H, Krone N, Porfiri E, Opocher G, Bertherat J, Mantero F, Allolio B, et al. Urine steroid metabolomics as a biomarker tool for detecting malignancy in adrenal tumors. The Journal of Clinical Endocrinology and Metabolism. 96: 3775-84. PMID 21917861 DOI: 10.1210/Jc.2011-1565  0.409
2011 Mwebaze E, Schneider P, Schleif FM, Aduwo JR, Quinn JA, Haase S, Villmann T, Biehl M. Divergence-based classification in learning vector quantization Neurocomputing. 74: 1429-1435. DOI: 10.1016/J.Neucom.2010.10.016  0.603
2010 Schneider P, Bunte K, Stiekema H, Hammer B, Villmann T, Biehl M. Regularization in matrix relevance learning. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 21: 831-40. PMID 20236882 DOI: 10.1109/Tnn.2010.2042729  0.759
2010 Schneider P, Biehl M, Hammer B. Hyperparameter learning in probabilistic prototype-based models Neurocomputing. 73: 1117-1124. DOI: 10.1016/J.Neucom.2009.11.021  0.695
2009 Schneider P, Biehl M, Hammer B. Adaptive relevance matrices in learning vector quantization. Neural Computation. 21: 3532-61. PMID 19764875 DOI: 10.1162/Neco.2009.11-08-908  0.746
2009 Schneider P, Biehl M, Hammer B. Distance learning in discriminative vector quantization. Neural Computation. 21: 2942-69. PMID 19635012 DOI: 10.1162/Neco.2009.10-08-892  0.758
2009 Biehl M, Hammer B, Schneider P, Villmann T. Metric learning for prototype-based classification Studies in Computational Intelligence. 247: 183-199. DOI: 10.1007/978-3-642-04003-0_8  0.712
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