Tina Eliassi-Rad

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Katkıda bulunan yazarlar

Brian GallagherComputer Scientist, Lawrence Livermore National Laboratoryllnl.gov üzerinde doğrulanmış e-posta adresine sahip
Christos FaloutsosCMUcs.cmu.edu üzerinde doğrulanmış e-posta adresine sahip
Hanghang TongUniversity of Illinois at Urbana-Champaignillinois.edu üzerinde doğrulanmış e-posta adresine sahip
Leman AkogluAssociate Professor, Carnegie Mellon Universityandrew.cmu.edu üzerinde doğrulanmış e-posta adresine sahip
Sucheta SoundarajanSyracuse Universitysyr.edu üzerinde doğrulanmış e-posta adresine sahip
Danai KoutraUniversity of Michigan, Ann Arborumich.edu üzerinde doğrulanmış e-posta adresine sahip
Jude ShavlikProfessor of Computer Science and of Biostatistics & Medical Informatics, University of Wisconsincs.wisc.edu üzerinde doğrulanmış e-posta adresine sahip
Lise GetoorProfessor of Computer Science, University of California, Santa Cruzucsc.edu üzerinde doğrulanmış e-posta adresine sahip
Monique SnoeckManagement Information Systems, Faculty of Economics and Business and Economics, KU Leuvenkuleuven.be üzerinde doğrulanmış e-posta adresine sahip
Véronique Van VlasselaerKU Leuvenkuleuven.be üzerinde doğrulanmış e-posta adresine sahip
Polo ChauAssociate Professor, Georgia Institute of Technologygatech.edu üzerinde doğrulanmış e-posta adresine sahip
B. Aditya PrakashAssociate Professor, Georgia Institute of Technologycs.cmu.edu üzerinde doğrulanmış e-posta adresine sahip
Michalis FaloutsosU. C. Riversidecs.ucr.edu üzerinde doğrulanmış e-posta adresine sahip
Spiros PapadimitriouRutgers Universityrutgers.edu üzerinde doğrulanmış e-posta adresine sahip
Mustafa BilgicIllinois Institute of Technologyiit.edu üzerinde doğrulanmış e-posta adresine sahip
Prithviraj SenIBM Researchus.ibm.com üzerinde doğrulanmış e-posta adresine sahip
Michele BerlingerioNovartis - AI Innovation Centernovartis.com üzerinde doğrulanmış e-posta adresine sahip
Terence CritchlowPrincipal Technical Program Manager, Amazon.comamazon.com üzerinde doğrulanmış e-posta adresine sahip
Charalampos E. TsourakakisBoston Universitybu.edu üzerinde doğrulanmış e-posta adresine sahip
Sugato BasuDistinguished Scientist at Googlegoogle.com üzerinde doğrulanmış e-posta adresine sahip

Takip et

Tina Eliassi-Rad

Professor of Computer Science, Northeastern University

eliassi.org üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa

Data Mining Machine Learning Network Science AI Ethics


Başlık Alıntılara göre sırala Yıla göre sırala Başlığa göre sırala	Alıntı yapanlar Alıntı yapanlar	Yıl
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	2520	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	442	2012
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	397	2015
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	321	2007
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	269	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	241	2012
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	231	2011
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	210	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	192	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	162	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	133	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	112	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	103	2016
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	103	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	96	2012
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	88	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	87	2015
Assessing changes in commuting and individual mobility in major metropolitan areas in the United States during the COVID-19 outbreak B Klein, T LaRock, S McCabe, L Torres, F Privitera, B Lake, MUG Kraemer, ... Northeastern University Network Science Institute 29, 2020	83	2020
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	81	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	80	2013

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