Roman Feldbauer - Google Scholar Citations

201520162017201820191 7 15 30 18

Arthur FlexerAustrian Research Institute for Artificial Intelligence (OFAI)Verified email at ofai.at
Gerhard F EckerProfessor of Pharmacoinformatics, University of ViennaVerified email at univie.ac.at
Margot ErnstAssoc. Prof., Medical University of ViennaVerified email at meduniwien.ac.at
Thomas RatteiProfessor for Computational Biology, University of ViennaVerified email at univie.ac.at
Frederik SchulzResearch Scientist at DOE Joint Genome InstituteVerified email at lbl.gov
Matthias HornUniversity of Vienna, Department of Microbiology and Ecosystem ScienceVerified email at microbial-ecology.net
Maximilian LeodolterPhD Candidate at Austrian Institute of Technology/ University of ViennaVerified email at ait.ac.at
Claudia PlantProfessor for Computer Science, head of research group Data Mining at University of ViennaVerified email at univie.ac.at

Roman Feldbauer

Division of Computational Systems Biology, University of Vienna

Verified email at univie.ac.at - Homepage


Title	Cited by	Year
Structural studies of GABAA receptor binding sites: which experimental structure tells us what? R Puthenkalam, M Hieckel, X Simeone, C Suwattanasophon, ... Frontiers in molecular neuroscience 9, 44, 2016	40	2016
Prediction of microbial phenotypes based on comparative genomics R Feldbauer, F Schulz, M Horn, T Rattei BMC bioinformatics 16 (14), S1, 2015	17	2015
Centering versus scaling for hubness reduction R Feldbauer, A Flexer International Conference on Artificial Neural Networks, 175-183, 2016	10	2016
A comprehensive empirical comparison of hubness reduction in high-dimensional spaces R Feldbauer, A Flexer Knowledge and Information Systems 59 (1), 137-166, 2019	5	2019
SciPy 1.0--Fundamental Algorithms for Scientific Computing in Python P Virtanen, R Gommers, TE Oliphant, M Haberland, T Reddy, ... arXiv preprint arXiv:1907.10121, 2019		2019
Fast approximate hubness reduction for large high-dimensional data R Feldbauer, M Leodolter, C Plant, A Flexer 2018 IEEE International Conference on Big Knowledge (ICBK), 358-367, 2018		2018
Machine Learning for Microbial Phenotype Prediction R Feldbauer Springer Fachmedien Wiesbaden, 2016		2016

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