David Jensen

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Jennifer NevilleProfessor of Computer Science and Statistics, Purdue UniversityVerified email at cs.purdue.edu
Michael HayColgate UniversityVerified email at colgate.edu
Marc MaierMassMutualVerified email at massmutual.com
Brian GallagherComputer Scientist, Lawrence Livermore National LaboratoryVerified email at llnl.gov
Matthew RattiganUniversity of Massachusetts AmherstVerified email at cs.umass.edu
Tim OatesProfessor of Computer Science, University of Maryland Baltimore CountyVerified email at umbc.edu
Brian Neil LevineProfessor, College of Information and Computer Sciences, UMass AmherstVerified email at cs.umass.edu
Andrew FastChief Data Scientist, CounterFlow AIVerified email at counterflowai.com
Gerome MiklauProfessor of Computer Science, University of Massachusetts, AmherstVerified email at cs.umass.edu
Paul R. CohenSchool of Computing and Information University of PittsburghVerified email at pitt.edu
Lisa FriedlandPostdoctoral Research Associate, Network Science Institute, Northeastern UniversityVerified email at northeastern.edu
Katerina MarazopoulouUniversity of Massachusetts AmherstVerified email at cs.umass.edu
Matthew D. SchmillAssistant Research Scientist, University of Maryland Baltimore CountyVerified email at schmill.net
Don TowsleyUniversity of MassachusettsVerified email at cs.umass.edu
James AllanUniversity of Massachusetts AmherstVerified email at cs.umass.edu
Özgür ŞimşekUniversity of BathVerified email at bath.ac.uk
Kaleigh ClaryMS/PhD Student, University of Massachusetts, AmherstVerified email at cs.umass.edu
Victor Lavrenkoex-professor at the University of EdinburghVerified email at inf.ed.ac.uk
Dawn LawrieSenior Research Scientist, Johns Hopkins University, Human Language Technology Center of ExcellenceVerified email at jhu.edu
Paul OgilvieStaff Software Engineer, LinkedInVerified email at linkedin.com

David Jensen

Professor of Computer Science, University of Massachusetts Amherst

Verified email at cs.umass.edu - Homepage

Machine Learning Causation Causal Discovery Statistical Relational Learning Computational Social Science


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
MaxProp: Routing for Vehicle-Based Disruption-Tolerant Networks. J Burgess, B Gallagher, DD Jensen, BN Levine Infocom 6, 2006	2758	2006
Introduction to statistical relational learning D Koller, N Friedman, S Džeroski, C Sutton, A McCallum, A Pfeffer, ... MIT press, 2007	1876	2007
Resisting structural re-identification in anonymized social networks M Hay, G Miklau, D Jensen, D Towsley, P Weis Proceedings of the VLDB Endowment 1 (1), 102-114, 2008	685	2008
Iterative classification in relational data J Neville, D Jensen Proc. AAAI-2000 workshop on learning statistical models from relational data …, 2000	509	2000
Efficient progressive sampling F Provost, D Jensen, T Oates Proceedings of the fifth ACM SIGKDD international conference on Knowledge …, 1999	484	1999
Anonymizing social networks M Hay, G Miklau, D Jensen, P Weis, S Srivastava Computer science department faculty publication series, 180, 2007	468	2007
Relational dependency networks. J Neville, D Jensen Journal of Machine Learning Research 8 (3), 2007	411	2007
Accurate estimation of the degree distribution of private networks M Hay, C Li, G Miklau, D Jensen 2009 Ninth IEEE International Conference on Data Mining, 169-178, 2009	378	2009
Why collective inference improves relational classification D Jensen, J Neville, B Gallagher Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004	359	2004
Mining of concurrent text and time series V Lavrenko, M Schmill, D Lawrie, P Ogilvie, D Jensen, J Allan KDD-2000 Workshop on text mining 2000, 37-44, 2000	322	2000
Privacy vulnerabilities in encrypted HTTP streams GD Bissias, M Liberatore, D Jensen, BN Levine International Workshop on Privacy Enhancing Technologies, 1-11, 2005	312	2005
Learning relational probability trees J Neville, D Jensen, L Friedland, M Hay Proceedings of the ninth ACM SIGKDD international conference on Knowledge …, 2003	305	2003
Multiple comparisons in induction algorithms DD Jensen, PR Cohen Machine Learning 38 (3), 309-338, 2000	301	2000
Linkage and autocorrelation cause feature selection bias in relational learning D Jensen, J Neville ICML 2, 259-266, 2002	224	2002
The Effects of Training Set Size on Decision Tree Complexity T Oates, D Jensen Proceedings of the Fourteenth International Conference on Machine Learning, 1997	224	1997
Graph clustering with network structure indices MJ Rattigan, M Maier, D Jensen Proceedings of the 24th international conference on Machine learning, 783-790, 2007	219	2007
Recommending citations for academic papers T Strohman, WB Croft, D Jensen Proceedings of the 30th annual international ACM SIGIR conference on …, 2007	215	2007
Timemines: Constructing timelines with statistical models of word usage R Swan, D Jensen KDD-2000 workshop on text mining, 73-80, 2000	210	2000
Language models for financial news recommendation V Lavrenko, M Schmill, D Lawrie, P Ogilvie, D Jensen, J Allan Proceedings of the ninth international conference on Information and …, 2000	203	2000
Collective classification with relational dependency networks J Neville, D Jensen Workshop on Multi-Relational Data Mining (MRDM-2003), 77, 2003	176	2003

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