Evangelos E. Papalexakis

According to our database1, Evangelos E. Papalexakis authored at least 81 papers between 2010 and 2019.

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Bibliography

2019
Temporal phenotyping of medically complex children via PARAFAC2 tensor factorization.
Journal of Biomedical Informatics, 2019

An Empirical Study of Malicious Threads in Security Forums.
Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

Generating Document Embeddings for Humor Recognition using Tensor Decomposition.
Proceedings of the Iberian Languages Evaluation Forum co-located with 35th Conference of the Spanish Society for Natural Language Processing, 2019

Edge-Assisted Detection and Summarization of Key Global Events from Distributed Crowd-Sensed Data.
Proceedings of the IEEE International Conference on Cloud Engineering, 2019

The Core Consistency of a Compressed Tensor.
Proceedings of the IEEE Data Science Workshop, 2019

2018
The Exact Solution to Rank-1 L1-Norm TUCKER2 Decomposition.
IEEE Signal Process. Lett., 2018

Athlytics: Winning in Sports with Data.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

SamBaTen: Sampling-based Batch Incremental Tensor Decomposition.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

SMACD: Semi-supervised Multi-Aspect Community Detection.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Learning Tensor-Based Representations from Brain-Computer Interface Data for Cybersecurity.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Identifying and Alleviating Concept Drift in Streaming Tensor Decomposition.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

RIPEx: Extracting Malicious IP Addresses from Security Forums Using Cross-Forum Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Webly Supervised Joint Embedding for Cross-Modal Image-Text Retrieval.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

SUSTain: Scalable Unsupervised Scoring for Tensors and its Application to Phenotyping.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

LARC: Learning Activity-Regularized Overlapping Communities Across Time.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

tHoops: A Multi-Aspect Analytical Framework for Spatio-Temporal Basketball Data.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

COPA: Constrained PARAFAC2 for Sparse & Large Datasets.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Semi-supervised Content-Based Detection of Misinformation via Tensor Embeddings.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

MIMiS: Minimally Intrusive Mining of Smartphone User Behaviors.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

Constrained Coupled Matrix-Tensor Factorization and its Application in Pattern and Topic Detection.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

t-PNE: Tensor-Based Predictable Node Embeddings.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

2017
Tensor Decomposition for Signal Processing and Machine Learning.
IEEE Trans. Signal Processing, 2017

Tensors for Data Mining and Data Fusion: Models, Applications, and Scalable Algorithms.
ACM TIST, 2017

Homogeneity in Web Search Results: Diagnosis and Mitigation.
ACM TIST, 2017

S-HOT: Scalable High-Order Tucker Decomposition.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

BrainZoom: High Resolution Reconstruction from Multi-modal Brain Signals.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

SPARTan: Scalable PARAFAC2 for Large & Sparse Data.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Data mining based on random forest model to predict the California ISO day-ahead market prices.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2017

Exploration of Social and Web Image Search Results Using Tensor Decomposition.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Jaal: Towards Network Intrusion Detection at ISP Scale.
Proceedings of the 13th International Conference on emerging Networking EXperiments and Technologies, 2017

TrollSpot: Detecting misbehavior in commenting platforms.
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017

InferIP: Extracting actionable information from security discussion forums.
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017

One Size Does Not Fit All: Profiling Personalized Time-Evolving User Behaviors.
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017

Balancing interpretability and predictive accuracy for unsupervised tensor mining.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016
Mining billion-scale tensors: algorithms and discoveries.
VLDB J., 2016

Turbo-SMT: Parallel coupled sparse matrix-Tensor factorizations and applications.
Statistical Analysis and Data Mining, 2016

Discovery of "comet" communities in temporal and labeled graphs Com^2.
Knowl. Inf. Syst., 2016

Overlap in the Web Search Results of Google and Bing.
J. Web Science, 2016

Automatic Unsupervised Tensor Mining with Quality Assessment.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Matrices, Compression, Learning Curves: Formulation, and the GroupNteach Algorithms.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Efficient and Distributed Algorithms for Large-Scale Generalized Canonical Correlations Analysis.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Toward Data-Driven Design of Educational Courses: A Feasibility Study.
Proceedings of the 9th International Conference on Educational Data Mining, 2016

2015
ParCube: Sparse Parallelizable CANDECOMP-PARAFAC Tensor Decomposition.
TKDD, 2015

Understanding Multilingual Social Networks in Online Immigrant Communities.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Remix in 3D Printing: What your Sources say About You.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

A Study of Distinctiveness in Web Results of Two Search Engines.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Principled Neuro-Functional Connectivity Discovery.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Whither Social Networks for Web Search?
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Education, Learning and Information Theory.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

HaTen2: Billion-scale tensor decompositions.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

Fast efficient and scalable Core Consistency Diagnostic for the parafac decomposition for big sparse tensors.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Translation Invariant Word Embeddings.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Overlap Between Google and Bing Web Search Results!: Twitter to the Rescue?
Proceedings of the 2015 ACM on Conference on Online Social Networks, 2015

Location based Social Network analysis using Tensors and Signal Processing tools.
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

2014
HEigen: Spectral Analysis for Billion-Scale Graphs.
IEEE Trans. Knowl. Data Eng., 2014

Parallel Randomly Compressed Cubes : A scalable distributed architecture for big tensor decomposition.
IEEE Signal Process. Mag., 2014

SharkFin: Spatio-temporal mining of software adoption and penetration.
Social Netw. Analys. Mining, 2014

Structure-Revealing Data Fusion.
BMC Bioinformatics, 2014

Spotting misbehaviors in location-based social networks using tensors.
Proceedings of the 23rd International World Wide Web Conference, 2014

Contextual insights.
Proceedings of the 23rd International World Wide Web Conference, 2014

Towards laws of the 3d-printable design web.
Proceedings of the ACM Web Science Conference, 2014

Turbo-SMT: Accelerating Coupled Sparse Matrix-Tensor Factorizations by 200x.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

FlexiFaCT: Scalable Flexible Factorization of Coupled Tensors on Hadoop.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

MalSpot: Multi2 Malicious Network Behavior Patterns Analysis.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Com2: Fast Automatic Discovery of Temporal ('Comet') Communities.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Good-enough brain model: challenges, algorithms and discoveries in multi-subject experiments.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

A parallel algorithm for big tensor decomposition using randomly compressed cubes (PARACOMP).
Proceedings of the IEEE International Conference on Acoustics, 2014

Predicting Code-switching in Multilingual Communication for Immigrant Communities.
Proceedings of the First Workshop on Computational Approaches to Code Switching@EMNLP 2014, 2014

2013
From K -Means to Higher-Way Co-Clustering: Multilinear Decomposition With Sparse Latent Factors.
IEEE Trans. Signal Processing, 2013

Large Scale Tensor Decompositions: Algorithmic Developments and Applications.
IEEE Data Eng. Bull., 2013

NetSpot: Spotting Significant Anomalous Regions on Dynamic Networks.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

F-Trail: Finding Patterns in Taxi Trajectories.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Do more views of a graph help? Community detection and clustering in multi-graphs.
Proceedings of the 16th International Conference on Information Fusion, 2013

Spatio-temporal mining of software adoption & penetration.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

2012
SigSpot: mining significant anomalous regions from time-evolving networks (abstract only).
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012

ParCube: Sparse Parallelizable Tensor Decompositions.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

TensorSplat: Spotting Latent Anomalies in Time.
Proceedings of the 16th Panhellenic Conference on Informatics, PCI 2012, 2012

GigaTensor: scaling tensor analysis up by 100 times - algorithms and discoveries.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Network Anomaly Detection Using Co-clustering.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2012

2011
Co-clustering as multilinear decomposition with sparse latent factors.
Proceedings of the IEEE International Conference on Acoustics, 2011

2010
Reviewer Profiling Using Sparse Matrix Regression.
Proceedings of the ICDMW 2010, 2010


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