Tina Eliassi-Rad

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	Wszystkie	Od 2016
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Brian GallagherComputer Scientist, Lawrence Livermore National LaboratoryZweryfikowany adres z llnl.gov
Christos FaloutsosCMUZweryfikowany adres z cs.cmu.edu
Hanghang TongUniversity of Illinois at Urbana-ChampaignZweryfikowany adres z illinois.edu
Leman AkogluAssociate Professor of Information Systems, Heinz College, Carnegie Mellon UniversityZweryfikowany adres z andrew.cmu.edu
Sucheta SoundarajanSyracuse UniversityZweryfikowany adres z syr.edu
Danai KoutraUniversity of Michigan, Ann ArborZweryfikowany adres z umich.edu
Jude ShavlikProfessor of Computer Science and of Biostatistics & Medical Informatics, University of WisconsinZweryfikowany adres z cs.wisc.edu
Lise GetoorProfessor of Computer Science, University of California, Santa CruzZweryfikowany adres z ucsc.edu
Duen Horng ChauAssociate Professor of Computer Science, Georgia Institute of TechnologyZweryfikowany adres z gatech.edu
Monique SnoeckManagement Information Systems, Faculty of Economics and Business and Economics, KU LeuvenZweryfikowany adres z kuleuven.be
Véronique Van VlasselaerKU LeuvenZweryfikowany adres z kuleuven.be
B. Aditya PrakashAssociate Professor, Georgia Institute of TechnologyZweryfikowany adres z cs.cmu.edu
Michalis FaloutsosU. C. RiversideZweryfikowany adres z cs.ucr.edu
Spiros PapadimitriouRutgers UniversityZweryfikowany adres z rutgers.edu
Mustafa BilgicIllinois Institute of TechnologyZweryfikowany adres z iit.edu
Prithviraj SenIBM ResearchZweryfikowany adres z us.ibm.com
Michele BerlingerioNovartis - AI Innovation CenterZweryfikowany adres z novartis.com
Terence CritchlowPrincipal Technical Program Manager, Amazon.comZweryfikowany adres z amazon.com
Charalampos E. TsourakakisBoston UniversityZweryfikowany adres z bu.edu
Sugato BasuPrincipal Scientist at GoogleZweryfikowany adres z google.com

Tina Eliassi-Rad

Professor of Computer Science, Northeastern University

Zweryfikowany adres z eliassi.org - Strona główna

Data Mining Machine Learning Network Science


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
Collective classification in network data P Sen, G Namata, M Bilgic, L Getoor, B Galligher, T Eliassi-Rad AI magazine 29 (3), 93-93, 2008	2006	2008
Rolx: structural role extraction & mining in large graphs K Henderson, B Gallagher, T Eliassi-Rad, H Tong, S Basu, L Akoglu, ... Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012	397	2012
Fast best-effort pattern matching in large attributed graphs H Tong, C Faloutsos, B Gallagher, T Eliassi-Rad Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007	314	2007
APATE: A novel approach for automated credit card transaction fraud detection using network-based extensions V Van Vlasselaer, C Bravo, O Caelen, T Eliassi-Rad, L Akoglu, M Snoeck, ... Decision Support Systems 75, 38-48, 2015	273	2015
It's who you know: graph mining using recursive structural features K Henderson, B Gallagher, L Li, L Akoglu, T Eliassi-Rad, H Tong, ... Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011	270	2011
Visual analysis of large heterogeneous social networks by semantic and structural abstraction Z Shen, KL Ma, T Eliassi-Rad IEEE transactions on visualization and computer graphics 12 (6), 1427-1439, 2006	255	2006
Gelling, and melting, large graphs by edge manipulation H Tong, BA Prakash, T Eliassi-Rad, M Faloutsos, C Faloutsos Proceedings of the 21st ACM international conference on Information and …, 2012	219	2012
A probabilistic model for using social networks in personalized item recommendation AJB Chaney, DM Blei, T Eliassi-Rad Proceedings of the 9th ACM Conference on Recommender Systems, 43-50, 2015	193	2015
Using ghost edges for classification in sparsely labeled networks B Gallagher, H Tong, T Eliassi-Rad, C Faloutsos Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008	182	2008
On the vulnerability of large graphs H Tong, BA Prakash, C Tsourakakis, T Eliassi-Rad, C Faloutsos, ... 2010 IEEE International Conference on Data Mining, 1091-1096, 2010	154	2010
Gotcha! network-based fraud detection for social security fraud V Van Vlasselaer, T Eliassi-Rad, L Akoglu, M Snoeck, B Baesens Management Science 63 (9), 3090-3110, 2017	105	2017
Netsimile: A scalable approach to size-independent network similarity M Berlingerio, D Koutra, T Eliassi-Rad, C Faloutsos arXiv preprint arXiv:1209.2684, 2012	100	2012
Applying latent dirichlet allocation to group discovery in large graphs K Henderson, T Eliassi-Rad Proceedings of the 2009 ACM symposium on Applied Computing, 1456-1461, 2009	98	2009
Measuring tie strength in implicit social networks M Gupte, T Eliassi-Rad Proceedings of the 4th Annual ACM Web Science Conference, 109-118, 2012	89	2012
Corescope: Graph mining using k-core analysis—patterns, anomalies and algorithms K Shin, T Eliassi-Rad, C Faloutsos 2016 IEEE 16th international conference on data mining (ICDM), 469-478, 2016	88	2016
Network similarity via multiple social theories M Berlingerio, D Koutra, T Eliassi-Rad, C Faloutsos Proceedings of the 2013 IEEE/ACM International Conference on Advances in …, 2013	83	2013
Node immunization on large graphs: Theory and algorithms C Chen, H Tong, BA Prakash, CE Tsourakakis, T Eliassi-Rad, C Faloutsos, ... IEEE Transactions on Knowledge and Data Engineering 28 (1), 113-126, 2015	75	2015
Metric forensics: a multi-level approach for mining volatile graphs K Henderson, T Eliassi-Rad, C Faloutsos, L Akoglu, L Li, K Maruhashi, ... Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010	73	2010
Leveraging label-independent features for classification in sparsely labeled networks: An empirical study B Gallagher, T Eliassi-Rad International Workshop on Social Network Mining and Analysis, 1-19, 2008	73	2008
Guided learning for role discovery (GLRD) framework, algorithms, and applications S Gilpin, T Eliassi-Rad, I Davidson Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013	70	2013

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