Lisa Friedland

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David LazerUniversity Distinguished Professor, Northeastern University; & Visiting Scholar, Harvard UniversityAdresse e-mail validée de neu.edu
Kenneth JosephAssociate Professor, University at BuffaloAdresse e-mail validée de buffalo.edu
Nir GrinbergAssistant Professor, Ben-Gurion UniversityAdresse e-mail validée de bgu.ac.il
David JensenProfessor of Computer Science, University of Massachusetts AmherstAdresse e-mail validée de cs.umass.edu
William R HobbsAssistant Professor, Cornell UniversityAdresse e-mail validée de cornell.edu
Briony Swire-ThompsonAssistant Professor, Northeastern UniversityAdresse e-mail validée de northeastern.edu
Michael HayColgate UniversityAdresse e-mail validée de colgate.edu
Jennifer NevilleMicrosoft Research, Purdue UniversityAdresse e-mail validée de microsoft.com
Carolina MattssonResearcher, CENTAI InstituteAdresse e-mail validée de centai.eu
Andrew FastChief Data Scientist, CounterFlow AIAdresse e-mail validée de counterflowai.com
Brian GallagherComputer Scientist, Lawrence Livermore National LaboratoryAdresse e-mail validée de llnl.gov
Amy McGovernUniversity of OklahomaAdresse e-mail validée de ou.edu
Oren TsurBen Gurion UniversityAdresse e-mail validée de bgu.ac.il
Brian J TaylorAmazon.com, Inc.Adresse e-mail validée de amazon.com
Marc MaierMassMutualAdresse e-mail validée de massmutual.com
James AllanUniversity of Massachusetts AmherstAdresse e-mail validée de cs.umass.edu

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Lisa Friedland

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Data science Machine learning Computational social science Network science Anomaly and fraud detection


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Fake news on Twitter during the 2016 U.S. presidential election N Grinberg, K Joseph, L Friedland, B Swire-Thompson, D Lazer Science 363 (6425), 374-378, 2019	2071	2019
Learning relational probability trees J Neville, D Jensen, L Friedland, M Hay Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge …, 2003	311	2003
Combating Fake News: An Agenda for Research and Action D Lazer, M Baum, N Grinberg, L Friedland, K Joseph, W Hobbs, ...	292*	2017
Auditing Partisan Audience Bias within Google Search RE Robertson, S Jiang, K Joseph, L Friedland, D Lazer, C Wilson Proceedings of the ACM on Human-Computer Interaction 2 (CSCW), 148, 2018	257	2018
Detecting insider threats in a real corporate database of computer usage activity TE Senator, HG Goldberg, A Memory, WT Young, B Rees, R Pierce, ... Proceedings of the 19th ACM SIGKDD International Conference on Knowledge …, 2013	196	2013
Exploiting relational structure to understand publication patterns in high-energy physics A McGovern, L Friedland, M Hay, B Gallagher, A Fast, J Neville, D Jensen SIGKDD Explorations 5 (2), 165-172, 2003	74	2003
Feature Extraction and Machine Learning on Symbolic Music using the music21 Toolkit MS Cuthbert, C Ariza, L Friedland International Society for Music Information Retrieval, 387-392, 2011	55	2011
ConStance: Modeling Annotation Contexts to Improve Stance Classification K Joseph, L Friedland, W Hobbs, O Tsur, D Lazer Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017	48	2017
Finding tribes: Identifying close-knit individuals from employment patterns L Friedland, D Jensen Proceedings of the 13th ACM SIGKDD International Conference on Knowledge …, 2007	45	2007
Relational data pre-processing techniques for improved securities fraud detection A Fast, L Friedland, M Maier, B Taylor, D Jensen, HG Goldberg, ... Proceedings of the 13th ACM SIGKDD International Conference on Knowledge …, 2007	38	2007
Reshaping a nation: Mobility, commuting, and contact patterns during the COVID-19 outbreak B Klein, T LaRock, S McCabe, L Torres, L Friedland, F Privitera, B Lake, ... Northeastern University-Network Science Institute Report, 2020	36	2020
Joke retrieval: Recognizing the same joke told differently L Friedland, J Allan Proceedings of the 17th ACM Conference on Information and Knowledge …, 2008	24	2008
Classifier-Adjusted Density Estimation for Anomaly Detection and One-Class Classification L Friedland, A Gentzel, D Jensen Proceedings of the 2014 SIAM International Conference on Data Mining, 578-586, 2014	13	2014
"Voters of the Year": 19 Voters Who Were Unintentional Election Poll Sensors on Twitter W Hobbs, L Friedland, K Joseph, O Tsur, S Wojcik, D Lazer International AAAI Conference on Web and Social Media, 544-547, 2017	8	2017
Copy or coincidence? A model for detecting social influence and duplication events L Friedland, D Jensen, M Lavine International Conference on Machine Learning, 1175-1183, 2013	7	2013
Anomaly Detection for Inferring Social Structure L Friedland Encyclopedia of Data Warehousing and Mining, 39-44, 2009	2	2009
Detecting Anomalously Similar Entities in Unlabeled Data LD Friedland University of Massachusetts Amherst, 2016	1	2016
Detecting Social Ties and Copying Events from Afﬁliation Data L Friedland Fifteenth AAAI/SIGART Doctoral Consortium, 2010		2010

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