VAM: An End-to-End Simulator for Time Series Regression and Temporal Link Prediction in Social Media Networks
Author:
Affiliation:
1. Department of Computer Science and Engineering, University of South Florida, Tampa, FL, USA
Funder
Defense Advanced Research Projects Agency
Air Force Research Laboratory
Alfred P
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Human-Computer Interaction,Social Sciences (miscellaneous),Modeling and Simulation
Link
http://xplorestaging.ieee.org/ielx7/6570650/6780646/09797305.pdf?arnumber=9797305
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Using SMOTE-based Data Augmentation for Social Media Time Series Prediction;2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC);2023-10-01
2. Modeling information diffusion in social media: data-driven observations;Frontiers in Big Data;2023-05-17
3. Experimental evaluation of baselines for forecasting social media timeseries;EPJ Data Science;2023-03-27
4. LBP4MTS: Local Binary Pattern-Based Unsupervised Representation Learning of Multivariate Time Series;IEEE Access;2023
5. Simulating New and Old Twitter User Activity with XGBoost and Probabilistic Hybrid Models;2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA);2022-12
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