Evangelos E. Papalexakis

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Christos FaloutsosCMUEmail yang diverifikasi di cs.cmu.edu
Nikolaos SidiropoulosLouis T. Rader Professor, Electrical & Computer Engineering, University of VirginiaEmail yang diverifikasi di virginia.edu
Xiao FuAssociate Professor, EECS, Oregon State UniversityEmail yang diverifikasi di oregonstate.edu
Partha TalukdarGoogle Research and IISc BangaloreEmail yang diverifikasi di iisc.ac.in
Michalis FaloutsosU. C. RiversideEmail yang diverifikasi di cs.ucr.edu
Konstantinos PelechrinisAssociate Professor, Department of Informatics and Networked Systems, School of Computing andEmail yang diverifikasi di pitt.edu
Tom MitchellFounders University Professor of Machine Learning, Carnegie Mellon UniversityEmail yang diverifikasi di cs.cmu.edu
Danai KoutraUniversity of Michigan, Ann ArborEmail yang diverifikasi di umich.edu
U KangProfessor of Computer Science and Engineering, Seoul National UniversityEmail yang diverifikasi di snu.ac.kr
Lieven De LathauwerKULeuvenEmail yang diverifikasi di kuleuven.be
Behzad GolshanGoogleEmail yang diverifikasi di google.com
Petko BogdanovUniversity at Albany-SUNYEmail yang diverifikasi di albany.edu
Spiros PapadimitriouRutgers UniversityEmail yang diverifikasi di rutgers.edu
Rasmus BroProfessor in chemometrics, University of CopenhagenEmail yang diverifikasi di food.ku.dk
Ioakeim PerrosLead Staff Machine Learning Scientist, HEALTH[at]SCALEEmail yang diverifikasi di healthatscale.com
Jimeng SunProfessor at University of Illinois Urbana-ChampaignEmail yang diverifikasi di illinois.edu
Abhay HarpaleGE Global ResearchEmail yang diverifikasi di cs.cmu.edu
Richard VuducGeorgia Institute of TechnologyEmail yang diverifikasi di cc.gatech.edu
Alex BeutelOpenAIEmail yang diverifikasi di openai.com
Evrim AcarSimula Research LabEmail yang diverifikasi di simula.no

Ikuti

Evangelos E. Papalexakis

Associate Professor and Ross Family Chair, University of California Riverside

Email yang diverifikasi di cs.ucr.edu - Beranda

Data Mining Tensor Decomposition Graph Mining Social Media Mining AI4Science


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
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	1760	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	466	2016
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	376	2020
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	364	2012
ParCube: Sparse Parallelizable Tensor Decompositions EE Papalexakis, C Faloutsos, ND Sidiropoulos	243	2012
Open data from the third observing run of LIGO, Virgo, KAGRA and GEO R Abbott, H Abe, F Acernese, K Ackley, S Adhicary, N Adhikari, ... arXiv preprint arXiv:2302.03676, 2023	223	2023
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	187	2013
HaTen2: Billion-scale Tensor Decompositions I Jeon, EE Papalexakis, U Kang, C Faloutsos IEEE ICDE 2015, 2015	180	2015
NetSpot: Spotting Significant Anomalous Regions on Dynamic Networks M Mongiovı, P Bogdanov, R Ranca, EE Papalexakis, C Faloutsos, ...	165	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	148	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	145	2013
Structure-revealing data fusion E Acar, EE Papalexakis, G Gürdeniz, MA Rasmussen, AJ Lawaetz, ... BMC bioinformatics 15, 1-17, 2014	143	2014
Com2: Fast Automatic Discovery of Temporal (’Comet’) Communities M Araujo, S Papadimitriou, S Günnemann, C Faloutsos, P Basu, A Swami, ... PAKDD 2014, 2014	137	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	134	2018
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	124	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	97	2017
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	91	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	83	2014
Network Anomaly Detection using Co-clustering EE Papalexakis, A Beutel, P Steenkiste	80	2012
TENSORSPLAT: Spotting Latent Anomalies in Time D Koutra, EE Papalexakis, C Faloutsos	79	2012

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