Evangelos E. Papalexakis

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Christos FaloutsosCMUVerified email at cs.cmu.edu
Nikolaos SidiropoulosLouis T. Rader Professor and Chair, Electrical & Computer Engineering, University of VirginiaVerified email at virginia.edu
Partha TalukdarGoogle Research and IISc BangaloreVerified email at iisc.ac.in
Xiao FuAssistant Professor, EECS, Oregon State UniversityVerified email at oregonstate.edu
Konstantinos PelechrinisAssociate Professor of Information Sciences, University of PittsburghVerified email at pitt.edu
Tom MitchellFounders University Professor of Machine Learning, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Danai KoutraUniversity of Michigan, Ann ArborVerified email at umich.edu
U KangProfessor of Computer Science and Engineering, Seoul National UniversityVerified email at snu.ac.kr
Michalis FaloutsosU. C. RiversideVerified email at cs.ucr.edu
Rakesh AgrawalTechnical Fellow, Microsoft ResearchVerified email at microsoft.com
Lieven De LathauwerKULeuvenVerified email at kuleuven.be
Behzad GolshanMegagon LabsVerified email at megagon.ai
Spiros PapadimitriouRutgers UniversityVerified email at rutgers.edu
Rasmus BroProfessor in chemometrics, University of CopenhagenVerified email at food.ku.dk
Petko BogdanovUniversity at Albany-SUNYVerified email at albany.edu
Abhay HarpaleGE Global ResearchVerified email at cs.cmu.edu
Ioakeim PerrosLead Staff Machine Learning Scientist, HEALTH[at]SCALEVerified email at healthatscale.com
Jimeng SunProfessor at University of Illinois Urbana-ChampaignVerified email at illinois.edu
Alex BeutelResearch Scientist, GoogleVerified email at google.com
Richard VuducGeorgia Institute of TechnologyVerified email at cc.gatech.edu

Evangelos E. Papalexakis

Associate Professor, University of California Riverside

Verified email at cs.ucr.edu - Homepage

Data Science Data Mining Tensor Decomposition Social Network Analysis Fake News Detection


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Tensor decomposition for signal processing and machine learning ND Sidiropoulos, L De Lathauwer, X Fu, K Huang, EE Papalexakis, ... IEEE Transactions on Signal Processing 65 (13), 3551-3582, 2017	1089	2017
Tensors for data mining and data fusion: Models, applications, and scalable algorithms EE Papalexakis, C Faloutsos, ND Sidiropoulos ACM Transactions on Intelligent Systems and Technology (TIST) 8 (2), 1-44, 2016	319	2016
Gigatensor: scaling tensor analysis up by 100 times-algorithms and discoveries U Kang, E Papalexakis, A Harpale, C Faloutsos Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012	315	2012
ParCube: Sparse Parallelizable Tensor Decompositions EE Papalexakis, C Faloutsos, ND Sidiropoulos	224	2012
From K-means to higher-way co-clustering: multilinear decomposition with sparse latent factors EE Papalexakis, ND Sidiropoulos, R Bro IEEE Transactions on Signal Processing, 2013	158	2013
HaTen2: Billion-scale Tensor Decompositions I Jeon, EE Papalexakis, U Kang, C Faloutsos IEEE ICDE 2015, 2015	146	2015
NetSpot: Spotting Significant Anomalous Regions on Dynamic Networks M Mongiovı, P Bogdanov, R Ranca, EE Papalexakis, C Faloutsos, ...	137	2013
FLEXIFACT: Scalable Flexible Factorization of Coupled Tensors on Hadoop A Beutel, A Kumar, E Papalexakis, PP Talukdar, C Faloutsos, EP Xing NIPS 2013 Big Learning Workshop, 2013	134	2013
Do more Views of a Graph help? Community Detection and Clustering in Multi-Graphs EE Papalexakis, L Akoglu, D Ienco 16th International Conference on Information Fusion, 2013	121	2013
Com2: Fast Automatic Discovery of Temporal (’Comet’) Communities M Araujo, S Papadimitriou, S Günnemann, C Faloutsos, P Basu, A Swami, ... PAKDD 2014, 2014	117	2014
All you need is low (rank) defending against adversarial attacks on graphs N Entezari, SA Al-Sayouri, A Darvishzadeh, EE Papalexakis Proceedings of the 13th International Conference on Web Search and Data …, 2020	107	2020
Structure-revealing data fusion E Acar, EE Papalexakis, G Gürdeniz, MA Rasmussen, AJ Lawaetz, ... BMC bioinformatics 15 (1), 1-17, 2014	93	2014
Unsupervised content-based identification of fake news articles with tensor decomposition ensembles S Hosseinimotlagh, EE Papalexakis Proceedings of the Workshop on Misinformation and Misbehavior Mining on the …, 2018	80	2018
Parallel randomly compressed cubes: A scalable distributed architecture for big tensor decomposition ND Sidiropoulos, EE Papalexakis, C Faloutsos IEEE Signal Processing Magazine 31 (5), 57-70, 2014	75	2014
Semi-supervised content-based detection of misinformation via tensor embeddings GB Guacho, S Abdali, N Shah, EE Papalexakis 2018 IEEE/ACM international conference on advances in social networks …, 2018	72	2018
TENSORSPLAT: Spotting Latent Anomalies in Time D Koutra, EE Papalexakis, C Faloutsos	66	2012
Network Anomaly Detection using Co-clustering EE Papalexakis, A Beutel, P Steenkiste	66	2012
Webly supervised joint embedding for cross-modal image-text retrieval NC Mithun, R Panda, EE Papalexakis, AK Roy-Chowdhury Proceedings of the 26th ACM international conference on Multimedia, 1856-1864, 2018	65	2018
SPARTan: Scalable PARAFAC2 for large & sparse data I Perros, EE Papalexakis, F Wang, R Vuduc, E Searles, M Thompson, ... Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017	64	2017
Heigen: Spectral analysis for billion-scale graphs U Kang, B Meeder, EE Papalexakis, C Faloutsos IEEE Transactions on knowledge and data engineering 26 (2), 350-362, 2012	63	2012

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