Ulrich Bodenhofer

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	All	Since 2016
Citations	3507	1608
h-index	29	17
i10-index	57	26

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Co-authors

Sepp HochreiterInstitute for Machine Learning, Johannes Kepler University LinzVerified email at ml.jku.at
Hinrich WH GöhlmannScientific Director at Johnson & JohnsonVerified email at its.jnj.com
Willem TalloenAssociate Director, Janssen Pharmaceutcials groupVerified email at its.jnj.com
Ziv SHKEDYProfessor for bioinformatics/biostatosticsVerified email at uhasselt.be
Frank KlawonnProfessor of Biostatistics, Helmholtz Centre for Infection ResearchVerified email at helmholtz-hzi.de
Djork-Arné ClevertBayer, Director, Machine Learning ResearchVerified email at clevert.de
Andreas MittereckerInstitute for Machine Learning, Johannes Kepler University LinzVerified email at bioinf.jku.at
Andreas MayrInstitute for Machine Learning, Johannes Kepler University LinzVerified email at ml.jku.at
Adetayo S KasimDirector, Durham Research Methods Centre, Durham University, UK.Verified email at durham.ac.uk
Mario DrobicsHead of Competence Unit, AIT Austrian Institute of Technology GmbHVerified email at ait.ac.at
Erich Peter KlementProfessor für Mathematik, Johannes Kepler University Linz, AustriaVerified email at jku.at
Günter KlambauerResearcher, LIT AI Lab & Institute for Machine Learning, Johannes Kepler UniversityVerified email at bioinf.jku.at
Petr CintulaInstitute of Computer Science, Czech Academy of SciencesVerified email at cs.cas.cz
De Baets BernardGhent UniversityVerified email at ugent.be
Radko MesiarSTU Bratislava, Slovakia, Faculty of Civil Engineering, Dept. Mathematics and Descriptive GeometryVerified email at math.sk
Martine De CockProfessor, University of Washington TacomaVerified email at uw.edu
etienne kerreemeritus gewoon hoogleraar Universiteit GentVerified email at ugent.be
Josef KüngJohannes Kepler Universität LinzVerified email at jku.at
Martin BurgerFriedrich-Alexander Universität Erlangen-NürnbergVerified email at fau.de
János FodorÓbuda UniversityVerified email at uni-obuda.hu

Ulrich Bodenhofer

Professor for Artificial Intelligence, University of Applied Sciences Upper Austria

Verified email at fh-hagenberg.at - Homepage

Machine Learning Artificial Intelligence Sales Analytics Healthcare Bioinformatics


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cn.MOPS: mixture of Poissons for discovering copy number variations in next-generation sequencing data with a low false discovery rate G Klambauer, K Schwarzbauer, A Mayr, DA Clevert, A Mitterecker, ... Nucleic Acids Research 40 (9), e69, 2012	330	2012
APCluster: an R package for affinity propagation clustering U Bodenhofer, A Kothmeier, S Hochreiter Bioinformatics 27 (17), 2463-2464, 2011	320	2011
FABIA: factor analysis for bicluster acquisition S Hochreiter, U Bodenhofer, M Heusel, A Mayr, A Mitterecker, A Kasim, ... Bioinformatics 26 (12), 1520-1527, 2010	298	2010
msa: an R package for multiple sequence alignment U Bodenhofer, E Bonatesta, C Horejš-Kainrath, S Hochreiter Bioinformatics 31 (24), 3997-3999, 2015	192	2015
Genetic algorithms: theory and applications U Bodenhofer Lecture notes, Fuzzy Logic Laboratorium Linz-Hagenberg, Winter 2004, 2003	166	2003
A similarity-based generalization of fuzzy orderings preserving the classical axioms U Bodenhofer International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems …, 2000	150	2000
Domination of aggregation operators and preservation of transitivity S Saminger, R Mesiar, U Bodenhofer International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems …, 2002	132	2002
Representations and constructions of similarity-based fuzzy orderings U Bodenhofer Fuzzy Sets and Systems 137 (1), 113-136, 2003	129	2003
A Similarity-Based Generalization of Fuzzy Orderings U Bodenhofer Universitätsverlag Rudolf Trauner, 1999	100	1999
A compendium of fuzzy weak orders: representations and constructions U Bodenhofer, B De Baets, J Fodor Fuzzy Sets and Systems 158 (8), 811-829, 2007	93	2007
Openings and closures of fuzzy preorderings: theoretical basics and applications to fuzzy rule-based systems U Bodenhofer, M De Cock, EE Kerre International Journal of General Systems 32 (4), 343-360, 2003	77	2003
A formal model of interpretability of linguistic variables U Bodenhofer, P Bauer Interpretability Issues in Fuzzy Modeling, 524-545, 2003	67	2003
Using transcriptomics to guide lead optimization in drug discovery projects: Lessons learned from the QSTAR project B Verbist, G Klambauer, L Vervoort, W Talloen, Z Shkedy, O Thas, ... Drug discovery today 20 (5), 505-513, 2015	66	2015
Learning the high-dimensional immunogenomic features that predict public and private antibody repertoires V Greiff, CR Weber, J Palme, U Bodenhofer, E Miho, U Menzel, ST Reddy The Journal of Immunology 199 (8), 2985-2997, 2017	58	2017
Relations in Fuzzy Class Theory: initial steps L Behounek, U Bodenhofer, P Cintula Fuzzy Sets and Systems 159 (14), 1729-1772, 2008	53	2008
FS-FOIL: an inductive learning method for extracting interpretable fuzzy descriptions M Drobics, U Bodenhofer, EP Klement International Journal of Approximate Reasoning 32 (2), 131-152, 2003	52	2003
Orderings of fuzzy sets based on fuzzy orderings. part I: the basic approach U Bodenhofer Mathware & Soft Computing 15 (2), 201-218, 2008	47	2008
Transcriptome profiling of antimicrobial resistance in Pseudomonas aeruginosa A Khaledi, M Schniederjans, S Pohl, R Rainer, U Bodenhofer, B Xia, ... Antimicrobial agents and chemotherapy 60 (8), 4722-4733, 2016	46	2016
Modelling linguistic expressions using fuzzy relations M De Cock, U Bodenhofer, EE Kerre 6th International Conference on Soft Computing, 353-360, 2000	45	2000
Complex networks govern coiled-coil oligomerization–predicting and profiling by means of a machine learning approach CC Mahrenholz, IG Abfalter, U Bodenhofer, R Volkmer, S Hochreiter Molecular & Cellular Proteomics 10 (5), M110. 004994, 2011	44	2011

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