Tina Eliassi-Rad

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	Tutte	Dal 2015
Citazioni	5431	3809
Indice H	32	26
i10-index	60	44

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Brian GallagherComputer Scientist, Lawrence Livermore National LaboratoryEmail verificata su llnl.gov
Christos FaloutsosCMUEmail verificata su cs.cmu.edu
Hanghang TongUniversity of Illinois at Urbana-ChampaignEmail verificata su illinois.edu
Leman AkogluAssociate Professor of Information Systems, Heinz College, Carnegie Mellon UniversityEmail verificata su andrew.cmu.edu
Danai KoutraUniversity of Michigan, Ann ArborEmail verificata su umich.edu
Sucheta SoundarajanSyracuse UniversityEmail verificata su syr.edu
Jude ShavlikProfessor of Computer Science and of Biostatistics & Medical Informatics, University of WisconsinEmail verificata su cs.wisc.edu
Lise GetoorProfessor of Computer Science, University of California, Santa CruzEmail verificata su ucsc.edu
B. Aditya PrakashAssociate Professor, Georgia Institute of TechnologyEmail verificata su cs.cmu.edu
Bart BaesensKU LeuvenEmail verificata su kuleuven.be
Monique SnoeckManagement Information Systems, Faculty of Economics and Business and Economics, KU LeuvenEmail verificata su kuleuven.be
Véronique Van VlasselaerKU LeuvenEmail verificata su kuleuven.be
Duen Horng (Polo) ChauProfessor of Computer Science, Georgia Institute of TechnologyEmail verificata su gatech.edu
Michalis FaloutsosU. C. RiversideEmail verificata su cs.ucr.edu
Spiros PapadimitriouRutgers UniversityEmail verificata su rutgers.edu
Mustafa BilgicIllinois Institute of TechnologyEmail verificata su iit.edu
Prithviraj SenIBM ResearchEmail verificata su us.ibm.com
Michele BerlingerioNovartis - AI Innovation CenterEmail verificata su novartis.com
Terence CritchlowPrincipal Technical Program Manager, Amazon.comEmail verificata su amazon.com
Charalampos (Labis) TsourakakisBoston University & Harvard UniversityEmail verificata su seas.harvard.edu

Tina Eliassi-Rad

Professor of Computer Science, Northeastern University

Email verificata su eliassi.org - Home page

Data Mining Machine Learning Network Science Artificial Intelligence


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
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	1489	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	323	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	287	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	235	2006
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	214	2015
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	194	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	183	2011
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	176	2008
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	158	2015
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	140	2010
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	91	2009
Netsimile: A scalable approach to size-independent network similarity M Berlingerio, D Koutra, T Eliassi-Rad, C Faloutsos arXiv preprint arXiv:1209.2684, 2012	84	2012
Measuring tie strength in implicit social networks M Gupte, T Eliassi-Rad Proceedings of the 4th Annual ACM Web Science Conference, 109-118, 2012	79	2012
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	78	2017
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	73	2016
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	67	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	67	2008
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	65	2013
HCDF: A hybrid community discovery framework K Henderson, T Eliassi-Rad, S Papadimitriou, C Faloutsos Proceedings of the 2010 SIAM International Conference on Data Mining, 754-765, 2010	64	2010
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	61	2013

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