Markus Bundschus
Markus Bundschus
Institute for Computer Science, University of Munich
Vahvistettu sähköpostiosoite verkkotunnuksessa - Kotisivu
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
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
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
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
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
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
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
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
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
Text mining patents for biomedical knowledge
R Rodriguez-Esteban, M Bundschus
Drug discovery today 21 (6), 997-1002, 2016
Towards a next-generation matrix library for Java
H Arndt, M Bundschus, A Naegele
2009 33rd Annual IEEE International Computer Software and Applications …, 2009
Method and a system for semantic relation extraction
M Bundschus, M DeJori, M Stetter, V Tresp
US Patent App. 11/979,534, 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
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
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
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
Combined Structured and Keyword-Based Search in Textually Enriched Entity-Relationship Graphs
D Magatti, F Steinke, M Bundschus, V Tresp
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
Scalable relational learning for sparse and incomplete domains
Y Huang, V Tresp, M Bundschus, A Rettinger
System for predicting efficacy of a target-directed drug to treat a disease
M Bundschus, F Heinemann, C Meisel, T Huber, U Leser
US Patent App. 16/300,371, 2019
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