Extraction of semantic biomedical relations from text using conditional random fields M Bundschus, M Dejori, M Stetter, V Tresp, HP Kriegel BMC bioinformatics 9 (1), 1-14, 2008 | 254 | 2008 |
Gene-disease network analysis reveals functional modules in mendelian, complex and environmental diseases A Bauer-Mehren, M Bundschus, M Rautschka, MA Mayer, F Sanz, ... PloS one 6 (6), e20284, 2011 | 177 | 2011 |
Going digital: a survey on digitalization and large-scale data analytics in healthcare V Tresp, JM Overhage, M Bundschus, S Rabizadeh, PA Fasching, S Yu Proceedings of the IEEE 104 (11), 2180-2206, 2016 | 75 | 2016 |
Hierarchical bayesian models for collaborative tagging systems M Bundschus, S Yu, V Tresp, A Rettinger, M Dejori, HP Kriegel 2009 Ninth IEEE International Conference on Data Mining, 728-733, 2009 | 59 | 2009 |
Materializing and querying learned knowledge V Tresp, Y Huang, M Bundschus, A Rettinger Proceedings of the First ESWC Workshop on Inductive Reasoning and Machine …, 2009 | 59 | 2009 |
Towards machine learning on the semantic web V Tresp, M Bundschus, A Rettinger, Y Huang Uncertainty reasoning for the Semantic Web I, 282-314, 2006 | 58 | 2006 |
Anticipating annotations and emerging trends in biomedical literature F Mörchen, M Dejori, D Fradkin, J Etienne, B Wachmann, M Bundschus Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008 | 57 | 2008 |
Multivariate prediction for learning on the semantic web Y Huang, V Tresp, M Bundschus, A Rettinger, HP Kriegel International Conference on Inductive Logic Programming, 92-104, 2010 | 44 | 2010 |
Automated patent categorization and guided patent search using ipc as inspired by mesh and pubmed D Eisinger, G Tsatsaronis, M Bundschus, U Wieneke, M Schroeder Journal of biomedical semantics 4 (1), 1-23, 2013 | 38 | 2013 |
Towards a next-generation matrix library for Java H Arndt, M Bundschus, A Naegele 2009 33rd Annual IEEE International Computer Software and Applications …, 2009 | 32 | 2009 |
Text mining patents for biomedical knowledge R Rodriguez-Esteban, M Bundschus Drug discovery today 21 (6), 997-1002, 2016 | 23 | 2016 |
Method and a system for semantic relation extraction M Bundschus, M DeJori, M Stetter, V Tresp US Patent App. 11/979,534, 2009 | 22 | 2009 |
System and method for ranking quality improvement factors in patient care M Bundschus, B Krishnapuram, F Rahmanian, RB Rao, RE Rosales, S Yu US Patent 8,560,346, 2013 | 16 | 2013 |
Statistical modeling of medical indexing processes for biomedical knowledge information discovery from text M Bundschus, M Dejori, S Yu, V Tresp, HP Kriegel Proceedings of the 8th International Workshop on Data Mining in …, 2008 | 14 | 2008 |
Topic models for semantically annotated document collections M Bundschus, V Tresp, HP Kriegel NIPS workshop: Applications for Topic Models: Text and Beyond, 1-4, 2009 | 12 | 2009 |
Reflection of successful anticancer drug development processes in the literature F Heinemann, T Huber, C Meisel, M Bundschus, U Leser Drug discovery today 21 (11), 1740-1744, 2016 | 11 | 2016 |
Combined Structured and Keyword-Based Search in Textually Enriched Entity-Relationship Graphs D Magatti, F Steinke, M Bundschus, V Tresp | 7 | 2010 |
Digging for knowledge with information extraction: a case study on human gene-disease associations M Bundschus, A Bauer-Mehren, V Tresp, L Furlong, HP Kriegel Proceedings of the 19th ACM international conference on Information and …, 2010 | 4 | 2010 |
Scalable relational learning for sparse and incomplete domains Y Huang, V Tresp, M Bundschus, A Rettinger | 3 | 2009 |
Analysis of MeSH and IPC as a prerequisite for guided patent search D Eisinger, T Wächter, M Bundschus, U Wieneke, M Schroeder Bio-Ontologies 2012, 2012 | 2 | 2012 |