Extraction of semantic biomedical relations from text using conditional random fields M Bundschus, M Dejori, M Stetter, V Tresp, HP Kriegel BMC bioinformatics 9, 1-14, 2008 | 296 | 2008 |
Using a local discovery ant algorithm for Bayesian network structure learning PC Pinto, A Nagele, M Dejori, TA Runkler, JMC Sousa IEEE transactions on evolutionary computation 13 (4), 767-779, 2009 | 99 | 2009 |
Crowd sourcing parking management using vehicles as mobile sensors Y Genc, Y Zhu, M Dejori, F Dierkes US Patent App. 13/527,114, 2013 | 73 | 2013 |
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 | 65 | 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 | 62 | 2008 |
Non-enforcement autonomous parking management system and methods J Aparicio, M Dejori, J Rosca US Patent App. 13/353,441, 2013 | 47 | 2013 |
Improving de novo sequence assembly using machine learning and comparative genomics for overlap correction LE Palmer, M Dejori, R Bolanos, D Fasulo BMC bioinformatics 11, 1-9, 2010 | 32 | 2010 |
Method and a system for semantic relation extraction M Bundschus, M DeJori, M Stetter, V Tresp US Patent App. 11/979,534, 2009 | 29 | 2009 |
Large-scale computational modeling of genetic regulatory networks M Stetter, G Deco, M Dejori Artificial Intelligence Review 20, 75-93, 2003 | 29 | 2003 |
Scalable and extensible framework for storing and analyzing sensor data M DeJori, C Raileanu, NC Tas, C Neubauer US Patent 8,744,807, 2014 | 22 | 2014 |
Scalable and extensible framework for storing and analyzing sensor data M DeJori, C Raileanu, NC Tas, C Neubauer US Patent 8,744,807, 2014 | 22 | 2014 |
Scalable and extensible framework for storing and analyzing sensor data M DeJori, C Raileanu, NC Tas, C Neubauer US Patent 8,744,807, 2014 | 22 | 2014 |
Bayesian substructure learning-approximate learning of very large network structures A Nägele, M Dejori, M Stetter Machine Learning: ECML 2007: 18th European Conference on Machine Learning …, 2007 | 22 | 2007 |
Identifying interventional and pathogenic mechanisms by generative inverse modeling of gene expression profiles M Dejori, M Stetter Journal of Computational Biology 11 (6), 1135-1148, 2004 | 22 | 2004 |
Method and a system for extracting a genotype-phenotype relationship J Cheng, M DeJori, M Stetter, B Wachmann US Patent App. 11/247,218, 2008 | 20 | 2008 |
Noisy scale-free networks J Scholz, M Dejori, M Stetter, M Greiner Physica A: Statistical Mechanics and its Applications 350 (2-4), 622-642, 2005 | 19 | 2005 |
Bayesian Inference of Genetic Networks from Gene-Expression-Data: Convergence and Reliability. M Dejori, M Stetter IC-AI 3, 323, 2003 | 19 | 2003 |
System for generating a medical knowledge base S Somasundaran, V Prabhakaran, VD Shet, K Tymoshenko, M Dejori US Patent 8,639,678, 2014 | 18 | 2014 |
Connecting questions, answers, announcements and activities to relevant entities L Grady, M Dejori US Patent App. 13/209,622, 2013 | 15 | 2013 |
Learning of Bayesian networks by a local discovery ant colony algorithm PC Pinto, A Nagele, M Dejori, TA Runkler, JMC Sousa 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on …, 2008 | 15 | 2008 |