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Stefan Kramer, Prof. Dr.

Stefan Kramer, Prof. Dr.

Head of Information Systems

Room: 03-617
Johannes Gutenberg - Universität Mainz
Institut für Informatik
Staudingerweg 9

55128 Mainz, Germany

Office Phone: +49-6131-39-23378 or -26990
Fax number: +49-6131-39-23534



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)

Activities:


Publications:

Li, R and Kramer, S (2012).
Efficient Redundancy Reduced Subgroup Discovery via Quadratic Programming
In: The 15th International Conference on Discovery Science, pp. 125–138, Lyon, France, Springer-Verlag. Lecture Notes in Artificial Intelligence (LNAI).

Schmidt, J and Kramer, S (2012).
Online Induction of Probabilistic Real Time Automata
In: Proceedings of the 2012 IEEE International Conference on Data Mining (ICDM 2012).

Schmidt, J, Ansorge, S, and Kramer, S (2012).
Scalable Induction of Probabilistic Real-Time Automata Using Maximum Frequent Pattern Based Clustering
In: Proceedings of the twelfth SIAM International Conference on Data Mining, pp. to appear, SIAM / Omnipress.

Seeland, M, Pfahringer, B, and Kramer, S (2012).
Maximum Common Subgraph Based Locally Weighted Regression
In: Proceedings of the 27th Symposium On Applied Computing, pp. 484-491.

Wicker, J, Pfahringer, B, and Kramer, S (2012).
Multi-Label Classification using Boolean Matrix Decomposition
In: Proceedings of the 27th Symposium On Applied Computing, pp. 498-505, ACM.

Alphonse, E, Girschick, T, Buchwald, F, and Kramer, S (2011).
A Numerical Refinement Operator based on Multi-Instance Learning
In: Inductive Logic Programming - 20th International Conference, ILP 2010, ed. by Paolo Frasconi and Francesca A. Lisi, vol. 6489, pp. 14-21, Springer. LNCS/LNAI.

Buchwald, F, Girschick, T, Seeland, M, and Kramer, S (2011).
Using Local Models to Improve (Q)SAR Predictivity
Molecular Informatics, 30(2-3):205-218.

Buchwald, F, Richter, L, and Kramer, S (2011).
Predicting a small molecule-kinase interaction map: A machine learning approach
Journal of Cheminformatics, 3:22.

Böck, M, Schmitt, C, and Kramer, S (2011).
A Study of Dynamic Time Warping for the Inference of Gene Regulatory Relationships
In: Proceedings of the Fifth International Workshop on Machine Learning in Systems Biology (MLSB11), ed. by S. Kramer and N. Lawrence, pp. 6-9.

Böck, M, Schmitt, C, and Kramer, S (2011).
A Study of Dynamic Time Warping for the Inference of Gene Regulatory Relationships
In: Proceedings of the German Conference on Bioinformatics (GCB11).


Selected Talks and Tutorials:

News
Wissenschaftsmarkt Posters (Sep 17, 2012)
New Web Page (Feb 16, 2012)
Upcoming Events
Software Engineering - 2nd exam Jun 07, 2013 10:00 AM - 01:00 PM — 05-426
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