Prof. Dr. Torsten Schön


Tel.:+49 841 9348-2335
E-Mail:
Raum: A236
Lehrgebiet: Computer Vision for Intelligent Mobility Systems
Fakultät: Fakultät I

Vita


  • Seit 2020 Forschungsprofessur an der THI
  • 2014-2020: Audi AG: Senior Data Scientist für Künstliche Intelligenz
  • 2013-2014: dotplot GmbH und Clueda AG: Data Scientist
  • 2013-2014: FHM Bamberg: Dozent für deskriptive und induktive Statistik
  • 2011-2013: SustSol GmbH: Doktorand und Software Entwickler
  • 2011-2013: Universität Regensburg: Doktor der Naturwissenschaften in Machine Learning
  • 2010-2013: Softgate GmbH: Software Entwickler
  • 2008-2013: Selbstständig: Webentwicklung und -design
  • 2005-2010 Hochschule Weihenstephan-Triesdorf: Diplomstudium der Bioinformatik

Veröffentlichungen


  • Torsten Schön, Martin Stetter, Elmar W. Lang, Physarum Learner: A bio-inspired way of learning structure from data, Expert Systems With Applications, 2014
  • Torsten Schön, Martin Stetter, Elmar W. Lang, A new Physarum Learner for Network Structure Learning from Biomedical Data, Proceedings of the 6th International Conference in Bio-inspired Systems and Signal Processing BIOSIGNALS 2013, February 11-14, Barcelona, Spain
  • Torsten Schön, Martin Stetter, Elmar W. Lang, Structure Learning for Bayesian Networks using the Physarum Solver, Proceedings of the 11th International Conference on Machine Learning and Applications ICMLA 2012, December 12-15, Boca Raton, Florida, USA
  • Torsten Schön , Alexey Tsymbal , Martin Huber, Gene-pair representation and incorporation of GO-based semantic similarity into classification of gene expression data, Intelligent Data Analysis 2012
  • Torsten Schön , Alexey Tsymbal , Martin Huber, Gene-Pair Representation and Incorporation of GO-based Semantic Similarity into Classification of Gene Expression Data, Proceedings of the 7th international conference on Rough sets and current trends in computing, June 28-30, 2010, Warsaw, Poland