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
Brian GallagherComputer Scientist, Lawrence Livermore National LaboratoryVerified email at llnl.gov
Marc MaierMassMutualVerified email at massmutual.com
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
Matthew D. SchmillAssistant Research Scientist, University of Maryland Baltimore CountyVerified email at schmill.net
Don TowsleyUniversity of MassachusettsVerified email at cs.umass.edu
Katerina MarazopoulouUniversity of Massachusetts AmherstVerified email at cs.umass.edu
James AllanUniversity of Massachusetts AmherstVerified email at cs.umass.edu
Paul OgilvieStaff Software Engineer, LinkedInVerified email at linkedin.com
Lise GetoorProfessor of Computer Science, University of California, Santa CruzVerified email at ucsc.edu
Özgür ŞimşekUniversity of BathVerified email at bath.ac.uk
Victor LavrenkoLecturer (Assistant Professor) at the University of EdinburghVerified email at inf.ed.ac.uk
Foster ProvostProfessor, New York UniversityVerified email at stern.nyu.edu

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


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MaxProp: Routing for Vehicle-Based Disruption-Tolerant Networks. J Burgess, B Gallagher, DD Jensen, BN Levine Infocom 6, 2006	2694	2006
Introduction to statistical relational learning D Koller, N Friedman, S Džeroski, C Sutton, A McCallum, A Pfeffer, ... MIT press, 2007	1765	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	649	2008
Iterative classification in relational data J Neville, D Jensen Proc. AAAI-2000 workshop on learning statistical models from relational data …, 2000	482	2000
Anonymizing social networks M Hay, G Miklau, D Jensen, P Weis, S Srivastava Computer science department faculty publication series, 180, 2007	447	2007
Efficient progressive sampling F Provost, D Jensen, T Oates Proceedings of the fifth ACM SIGKDD international conference on Knowledge …, 1999	441	1999
Relational dependency networks. J Neville, D Jensen Journal of Machine Learning Research 8 (3), 2007	394	2007
Why collective inference improves relational classification D Jensen, J Neville, B Gallagher Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004	347	2004
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	319	2009
Learning relational probability trees J Neville, D Jensen, L Friedland, M Hay Proceedings of the ninth ACM SIGKDD international conference on knowledge …, 2003	299	2003
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	294	2000
Multiple comparisons in induction algorithms DD Jensen, PR Cohen Machine Learning 38 (3), 309-338, 2000	293	2000
Privacy vulnerabilities in encrypted HTTP streams GD Bissias, M Liberatore, D Jensen, BN Levine International Workshop on Privacy Enhancing Technologies, 1-11, 2005	283	2005
The Effects of Training Set Size on Decision Tree Complexity T Oates, D Jensen Proceedings of the Fourteenth International Conference on Machine Learning, 1997	222	1997
Linkage and autocorrelation cause feature selection bias in relational learning D Jensen, J Neville ICML 2, 259-266, 2002	216	2002
Graph clustering with network structure indices MJ Rattigan, M Maier, D Jensen Proceedings of the 24th international conference on Machine learning, 783-790, 2007	206	2007
Recommending citations for academic papers T Strohman, WB Croft, D Jensen Proceedings of the 30th annual international ACM SIGIR conference on …, 2007	204	2007
Timemines: Constructing timelines with statistical models of word usage R Swan, D Jensen KDD-2000 Workshop on Text Mining, 73-80, 2000	201	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	193	2000
Collective classification with relational dependency networks J Neville, D Jensen Workshop on Multi-Relational Data Mining (MRDM-2003), 77, 2003	165	2003

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