Madeleine Seeland

According to our database, Madeleine Seeland authored at least 9 papers between 2008 and 2014.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2014

Structural Graph Clustering: Scalable Methods and Applications for Graph Classification and Regression.

Madeleine Seeland

PhD thesis, 2014

Extracting information from support vector machines for pattern-based classification.

Madeleine Seeland, Andreas Maunz, Andreas Karwath, Stefan Kramer

Proceedings of the Symposium on Applied Computing, 2014

Structural clustering of millions of molecular graphs.

Madeleine Seeland, Andreas Karwath, Stefan Kramer

Proceedings of the Symposium on Applied Computing, 2014

2013

Model selection based product kernel learning for regression on graphs.

Madeleine Seeland, Stefan Kramer, Bernhard Pfahringer

Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013

2012

Maximum Common Subgraph based locally weighted regression.

Madeleine Seeland, Fabian Buchwald, Stefan Kramer, Bernhard Pfahringer

Proceedings of the ACM Symposium on Applied Computing, 2012

A structural cluster kernel for learning on graphs.

Madeleine Seeland, Andreas Karwath, Stefan Kramer

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

2011

Parallel Structural Graph Clustering.

Madeleine Seeland, Simon A. Berger, Alexandros Stamatakis, Stefan Kramer

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

2010

Online Structural Graph Clustering Using Frequent Subgraph Mining.

Madeleine Seeland, Tobias Girschick, Fabian Buchwald, Stefan Kramer

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

2008

Fluorescence Microscopy Deconvolution Based on Bregman Iteration and Richardson-Lucy Algorithm with TV Regularization.

Steffen Remmele, Madeleine Seeland, Jürgen Hesser

Proceedings of the Bildverarbeitung für die Medizin 2008, 2008