| Online structural graph clustering using frequent subgraph mining M Seeland, T Girschick, F Buchwald, S Kramer Machine Learning and Knowledge Discovery in Databases: European Conference …, 2010 | 34 | 2010 |
| A structural cluster kernel for learning on graphs M Seeland, A Karwath, S Kramer Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012 | 19 | 2012 |
| Parallel structural graph clustering M Seeland, SA Berger, A Stamatakis, S Kramer Machine Learning and Knowledge Discovery in Databases: European Conference …, 2011 | 18 | 2011 |
| Using local models to improve (Q) SAR predictivity F Buchwald, T Girschick, M Seeland, S Kramer Molecular Informatics 30 (2‐3), 205-218, 2011 | 16 | 2011 |
| Fluorescence microscopy deconvolution based on Bregman iteration and Richardson-Lucy algorithm with TV regularization S Remmele, M Seeland, J Hesser Bildverarbeitung für die Medizin 2008: Algorithmen—Systeme—Anwendungen …, 2008 | 11 | 2008 |
| Structural clustering of millions of molecular graphs M Seeland, AK Johannes, S Kramer Proceedings of the 29th Annual ACM Symposium on Applied Computing, 121-128, 2014 | 10 | 2014 |
| Innovative strategies to develop chemical categories using a combination of structural and toxicological properties M Batke, M Gütlein, F Partosch, U Gundert-Remy, C Helma, S Kramer, ... Frontiers in Pharmacology 7, 321, 2016 | 5 | 2016 |
| Structural Graph Clustering: Scalable Methods and Applications for Graph Classification and Regression M Seeland Technische Universität München, 2014 | 3 | 2014 |
| Multi-Label-Classification to predict repeated dose toxicity in the context of REACH M Batke, A Bitsch, U Gundert-Remy, M Gütlein, C Helma, S Kramer, ... | 2 | 2014 |
| Extracting information from support vector machines for pattern-based classification M Seeland, A Maunz, A Karwath, S Kramer Proceedings of the 29th Annual ACM Symposium on Applied Computing, 129-136, 2014 | 1 | 2014 |
| Model selection based product kernel learning for regression on graphs M Seeland, S Kramer, B Pfahringer Proceedings of the 28th Annual ACM Symposium on Applied Computing, 136-143, 2013 | 1 | 2013 |
| Maximum Common Subgraph based locally weighted regression M Seeland, F Buchwald, S Kramer, B Pfahringer Proceedings of the 27th Annual ACM Symposium on Applied Computing, 165-172, 2012 | 1 | 2012 |
| Development of chemical categories by optimized clustering strategies A Bitsch, M Batke, U Gundert-Remy, M Gütlein, S Kramer, F Partosch, ... | | 2015 |
| Optimization of curation of the dataset with data on repeated dose toxicity U Gundert-Remy, M Batke, A Bitsch, M Gütlein, S Kramer, F Partosch, ... | | 2015 |
| Entwicklung einer Strategie zur Bildung von Kategorien und Definition neuer Kategorien für die Endpunkte der subakuten, subchronischen und chronischen Toxizität zur Minimierung … M Seeland Technische Universität München, Institut für Informatik Lehrstuhl I12 …, 2014 | | 2014 |
| Development of chemical categories by optimized clustering strategies M Batke, A Bitsch, U Gundert-Remy, M Gütlein, C Helma, S Kramer, ... | | 2014 |
| Correlations between different endpoints in repeated dose toxicity studies: Occurrence of dependent and independent effects at equal dose levels in the RepDose and the" ELINCS … M Batke, A Bitsch, U Gundert-Remy, M Gütlein, S Kramer, F Partosch, ... | | 2014 |
| New strategies for the generation of chemical categories under REACH M Batke, U Gundert-Remy, C Helma, S Kramer, S Kleppe-Nordqvist, ... | | 2013 |
| New strategies to develop chemical categories in the context of REACH—Work in progress M Batke, A Bitsch, U Gundert-Remy, M Guetlein, C Helma, S Kramer, ... Toxicology Letters, S84, 2013 | | 2013 |
| Combining Modifications to Multinomial Naive Bayes for Text A Puurula, A Puurula, A Puurula, A Bifet, M Geilke, E Frank, S Kramer, ... Proc 8th Asia Information Retrieval Societies Conference 88, 179-186, 2012 | | 2012 |
