Ulrich Bodenhofer

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Sepp HochreiterInstitute for Machine Learning, Johannes Kepler University LinzVerified email at ml.jku.at
Willem TalloenDirector, Janssen Pharmaceutcials groupVerified email at its.jnj.com
Ziv SHKEDYProfessor for bioinformatics/biostatosticsVerified email at uhasselt.be
Hinrich WH GöhlmannDirector Discovery Data Science at GenmabVerified email at genmab.com
Andreas MayrInstitute for Machine Learning, Johannes Kepler University LinzVerified email at ml.jku.at
Susanne Saminger-PlatzJohannes Kepler University LinzVerified email at jku.at
Frank KlawonnProfessor of Biostatistics, Helmholtz Centre for Infection ResearchVerified email at helmholtz-hzi.de
Adetayo S KasimStatistics DirectorVerified email at gsk.com
Djork-Arné ClevertPfizer, VP, Machine Learning ResearchVerified email at pfizer.com
Andreas MittereckerVerified email at ml.jku.at
Erich Peter KlementProfessor of Mathematics, Johannes Kepler University Linz, AustriaVerified email at jku.at
Martin HeuselZalando ResearchVerified email at zalando.de
Mario DrobicsHead of Competence Unit, AIT Austrian Institute of Technology GmbHVerified email at ait.ac.at
Petr CintulaInstitute of Computer Science, Czech Academy of SciencesVerified email at cs.cas.cz
Luc BIJNENSBiostatistician Janssen & UHasseltVerified email at uhasselt.be
Günter KlambauerProf., LIT AI Lab & Institute for Machine Learning, Johannes Kepler UniversityVerified email at ml.jku.at
Libor BehounekUniversity of OstravaVerified email at osu.cz
Martine De CockProfessor, University of Washington TacomaVerified email at uw.edu
etienne kerreemeritus gewoon hoogleraar Universiteit GentVerified email at ugent.be
Bie VerbistDirector Biostatistics Oncology, Janssen R&DVerified email at telenet.be

Ulrich Bodenhofer

Professor for Artificial Intelligence, University of Applied Sciences Upper Austria

Verified email at fh-hagenberg.at - Homepage

Machine Learning Deep Learning Artificial Intelligence Medical Informatics Bioinformatics


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msa: an R package for multiple sequence alignment U Bodenhofer, E Bonatesta, C Horejš-Kainrath, S Hochreiter Bioinformatics 31 (24), 3997-3999, 2015	636	2015
APCluster: an R package for affinity propagation clustering U Bodenhofer, A Kothmeier, S Hochreiter Bioinformatics 27 (17), 2463-2464, 2011	528	2011
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	508	2012
FABIA: factor analysis for bicluster acquisition S Hochreiter, U Bodenhofer, M Heusel, A Mayr, A Mitterecker, A Kasim, ... Bioinformatics 26 (12), 1520-1527, 2010	408	2010
Speeding up semantic segmentation for autonomous driving M Treml, J Arjona-Medina, T Unterthiner, R Durgesh, F Friedmann, ... NIPS Workshop on Machine Learning for Intelligent Transportation Systems, 2016	362	2016
Genetic algorithms: theory and applications U Bodenhofer Lecture notes, Fuzzy Logic Laboratorium Linz-Hagenberg, Winter 2004, 2003	216	2003
Domination of aggregation operators and preservation of transitivity S Saminger, R Mesiar, U Bodenhofer International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems …, 2002	172	2002
A similarity-based generalization of fuzzy orderings preserving the classical axioms U Bodenhofer International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems …, 2000	162	2000
Representations and constructions of similarity-based fuzzy orderings U Bodenhofer Fuzzy Sets and Systems 137 (1), 113-136, 2003	154	2003
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	126	2017
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	116	2015
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	113	2007
A Similarity-Based Generalization of Fuzzy Orderings U Bodenhofer Universitätsverlag Rudolf Trauner, 1999	113	1999
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	100	2016
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	82	2003
A formal model of interpretability of linguistic variables U Bodenhofer, P Bauer Interpretability Issues in Fuzzy Modeling, 524-545, 2003	78	2003
Relations in Fuzzy Class Theory: initial steps L Behounek, U Bodenhofer, P Cintula Fuzzy Sets and Systems 159 (14), 1729-1772, 2008	60	2008
Modelling linguistic expressions using fuzzy relations M De Cock, U Bodenhofer, EE Kerre 6th International Conference on Soft Computing, 353-360, 2000	59	2000
Hsa-miR-375 is a predictor of local control in early stage breast cancer F Zehentmayr, C Hauser-Kronberger, B Zellinger, F Hlubek, C Schuster, ... Clinical Epigenetics 8 (1), 28, 2016	57	2016
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	57	2003

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