Personal tools
You are here: Home People Prof. Dr. techn. Stefan Kramer
Prof. Dr. techn. Stefan Kramer
Document Actions

Prof. Dr. techn. Stefan Kramer

Room: 01.09.044

Technische Universität München
Institut für Informatik / I12
Boltzmannstr. 3
D-85748 Garching b. München, Germany

Phone: +49 (89) 289-17811
Fax: +49 (89) 289-19414

Research Interests:

Bioinformatics, Cheminformatics, Predictive Toxicology, Toxicogenomics, Pharmacogenomics, Machine Learning, Data Mining, Relational Data Mining, Inductive Logic Programming, Inductive Databases, Software Engineering

If you want to apply for a position, please send an email to: marlena.drabik@in.tum.de

Activities:

Service on Editorial Boards and Program Committees:

  • Editorial Board of Machine Learning journal
  • International Conference on Machine Learning (ICML-2005,  ICML-2006, ICML-2007, ICML-2008, ICML-2010)
  • IEEE International Conference on Data Mining (ICDM-2008, ICDM-2009)
  • SIAM Conference on Data Mining (SDM-2009, SDM-2010)
  • AAAI Conference on Artificial Intelligence Bioinformatics Track (AAAI-2010)
  • European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD-2001, ECML/PKDD-2002, ECML/PKDD-2003, ECML/PKDD-2004, ECML/PKDD-2005, ECML/PKDD-2006, ECML/PKDD-2007, ECML/PKDD-2008, ECML/PKDD-2009, ECML/PKDD-2010)
  • European Conference on Artificial Intelligence (ECAI-2006)
  • International Conference on Discovery Science (DS-2005, DS-2006, DS-2007, DS-2008, DS-2009, DS-2010)
  • International Conference on Inductive Logic Programming (ILP-2001, ILP-2002, ILP-2003, ILP-2004, ILP-2005, ILP-2006, ILP-2007, ILP-2008, ILP-2009, ILP-2010)
  • ACM Symposium on Applied Computing (SAC-2004, SAC-2005, SAC-2006, SAC-2007, SAC-2008, SAC-2009, SAC-2010) Data Mining Track
  • International Conference on Genome Informatics (GIW-2005, GIW-2006, GIW-2007, GIW-2008)

Invited Talks and Tutorials:

Awards:

  • Best Application Paper Runner-Up, Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2001) (for: Kramer S., De Raedt L., Helma C.: Molecular Feature Mining in HIV Data)
  • Best Theory Paper, 16th International Conference on Inductive Logic Programming (ILP-2006) (for: Rückert U., Kramer S.: Margin-Based First-Order Rule Learning)
  • Best Application Paper, 8th IEEE International Conference on Data Mining (ICDM-2008) (for: Hapfelmeier A., Schmidt J., Mueller M., Drzezga A., Perneczky R., Kurz A., Kramer S.: Interpreting PET Scans by Structured
    Patient Data: A Data Mining Case Study in Dementia Research)

Publications:

Teaching: