Evangelos E. Papalexakis
Orcid: 0000-0002-3411-8483Affiliations:
- University of California Riverside, CA, USA
- Carnegie Mellon University, Computer Science Department (former)
According to our database1,
Evangelos E. Papalexakis
authored at least 161 papers
between 2010 and 2024.
Collaborative distances:
Collaborative distances:
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Online presence:
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on orcid.org
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on cs.ucr.edu
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Bibliography
2024
Data Min. Knowl. Discov., January, 2024
CoRR, 2024
2023
ACM Trans. Cyber Phys. Syst., April, 2023
Towards Aligned Canonical Correlation Analysis: Preliminary Formulation and Proof-of-Concept Results.
CoRR, 2023
Can SAM recognize crops? Quantifying the zero-shot performance of a semantic segmentation foundation model on generating crop-type maps using satellite imagery for precision agriculture.
CoRR, 2023
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
Task-agnostic representation learning of multimodal twitter data for downstream applications.
J. Big Data, 2022
BigEye: Detection and Summarization of Key Global Events From Distributed Crowdsensed Data.
IEEE Internet Things J., 2022
Frontiers Big Data, 2022
CoRR, 2022
MAVIPER: Learning Decision Tree Policies for Interpretable Multi-agent Reinforcement Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
Vec2Node: Self-Training with Tensor Augmentation for Text Classification with Few Labels.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
Proceedings of the IEEE Military Communications Conference, 2022
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022
Proceedings of the IEEE International Conference on Data Mining, 2022
Multi-aspect Matrix Factorization based Visualization of Convolutional Neural Networks.
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022
Proceedings of the IEEE International Conference on Big Data, 2022
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2022
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2022
2021
KNH: Multi-View Modeling with K-Nearest Hyperplanes Graph for Misinformation Detection.
CoRR, 2021
KI<sup>2</sup>TE: Knowledge-Infused InterpreTable Embeddings for COVID-19 Misinformation Detection.
Proceedings of the 1st International Workshop on Knowledge Graphs for Online Discourse Αnalysis (KnOD 2021) co-located with the 30th The Web Conference (WWW 2021), 2021
Proceedings of the SIGCSE '21: The 52nd ACM Technical Symposium on Computer Science Education, 2021
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021
RecTen: A Recursive Hierarchical Low Rank Tensor Factorization Method to Discover Hierarchical Patterns from Multi-modal Data.
Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021
Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021
Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
2020
Soc. Netw. Anal. Min., 2020
Knowl. Inf. Syst., 2020
RecTen: A Recursive Hierarchical Low Rank Tensor Factorization Method to Discover Hierarchical Patterns in Multi-modal Data.
CoRR, 2020
CoRR, 2020
HiJoD: Semi-Supervised Multi-aspect Detection of Misinformation using Hierarchical Joint Decomposition.
CoRR, 2020
NSVD: Normalized Singular Value Deviation Reveals Number of Latent Factors in Tensor Decomposition.
Big Data, 2020
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020
<i>NSVD</i>: Normalized Singular Value Deviation Reveals Number of Latent Factors in Tensor Decomposition.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020
SourceFinder: Finding Malware Source-Code from Publicly Available Repositories in GitHub.
Proceedings of the 23rd International Symposium on Research in Attacks, 2020
Semi-supervised Multi-aspect Detection of Misinformation Using Hierarchical Joint Decomposition.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track, 2020
Anomaly Detection in IoT-Based PIR Occupancy Sensors to Improve Building Energy Efficiency.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2020
Proceedings of the 11th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2020
REST: A Thread Embedding Approach for Identifying and Classifying User-Specified Information in Security Forums.
Proceedings of the Fourteenth International AAAI Conference on Web and Social Media, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the 20th International Conference on Data Mining Workshops, 2020
Proceedings of the 28th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2020
Learning Physical Common Sense as Knowledge Graph Completion via BERT Data Augmentation and Constrained Tucker Factorization.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
OnlineBTD: Streaming Algorithms to Track the Block Term Decomposition of Large Tensors.
Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020
2019
Efficient and Distributed Generalized Canonical Correlation Analysis for Big Multiview Data.
IEEE Trans. Knowl. Data Eng., 2019
Temporal phenotyping of medically complex children via PARAFAC2 tensor factorization.
J. Biomed. Informatics, 2019
Proceedings of the Companion of The 2019 World Wide Web Conference, 2019
Proceedings of the Iberian Languages Evaluation Forum co-located with 35th Conference of the Spanish Society for Natural Language Processing, 2019
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019
Matrix Profile XVIII: Time Series Mining in the Face of Fast Moving Streams using a Learned Approximate Matrix Profile.
Proceedings of the 2019 IEEE International Conference on Data Mining, 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
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019
Embedding Lexical Features via Tensor Decomposition for Small Sample Humor Recognition.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Proceedings of the IEEE Data Science Workshop, 2019
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019
2018
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018
IEEE Signal Process. Lett., 2018
A Constrained Coupled Matrix-Tensor Factorization for Learning Time-evolving and Emerging Topics.
CoRR, 2018
A Peek Into the Hidden Layers of a Convolutional Neural Network Through a Factorization Lens.
CoRR, 2018
Mining actionable information from security forums: the case of malicious IP addresses.
CoRR, 2018
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018
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
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
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
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018
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
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018
2017
IEEE Trans. Signal Process., 2017
Tensors for Data Mining and Data Fusion: Models, Applications, and Scalable Algorithms.
ACM Trans. Intell. Syst. Technol., 2017
ACM Trans. Intell. Syst. Technol., 2017
tHoops: A Multi-Aspect Analytical Framework Spatio-Temporal Basketball Data Using Tensor Decomposition.
CoRR, 2017
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017
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
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017
Proceedings of the 13th International Conference on emerging Networking EXperiments and Technologies, 2017
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017
2016
Stat. Anal. Data Min., 2016
Knowl. Inf. Syst., 2016
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016
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
Proceedings of the 9th International Conference on Educational Data Mining, 2016
2015
ACM Trans. Knowl. Discov. Data, 2015
Proceedings of the 24th International Conference on World Wide Web Companion, 2015
Proceedings of the 24th International Conference on World Wide Web Companion, 2015
Proceedings of the 24th International Conference on World Wide Web Companion, 2015
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015
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
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015
Proceedings of the 2015 ACM on Conference on Online Social Networks, 2015
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015
2014
Encyclopedia of Social Network Analysis and Mining, 2014
IEEE Trans. Knowl. Data Eng., 2014
Parallel Randomly Compressed Cubes : A scalable distributed architecture for big tensor decomposition.
IEEE Signal Process. Mag., 2014
Soc. Netw. Anal. Min., 2014
Good-Enough Brain Model: Challenges, Algorithms, and Discoveries in Multisubject Experiments.
Big Data, 2014
Proceedings of the 23rd International World Wide Web Conference, 2014
Proceedings of the 23rd International World Wide Web Conference, 2014
Proceedings of the ACM Web Science Conference, 2014
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014
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
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 Process., 2013
IEEE Data Eng. Bull., 2013
Proceedings of the 13th SIAM International Conference on Data Mining, 2013
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013
Proceedings of the 16th International Conference on Information Fusion, 2013
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
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012
Proceedings of the 16th Panhellenic Conference on Informatics, PCI 2012, 2012
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2012
2011
Proceedings of the IEEE International Conference on Acoustics, 2011
2010
Proceedings of the ICDMW 2010, 2010