Predicting Longitudinal User Activity at Fine Time Granularity in Online Collaborative Platforms. - Renhao Liu; Frederick Mubang; Lawrence O. Hall; Sameera Horawalavithana; Adriana Iamnitchi; John Skvoretz (SMC, 2019)

Simulating Temporal User Activity on Social Networks with Sequence to Sequence Neural Models. - Renhao Liu; Frederick Mubang; Lawrence O. Hall (SMC, 2020)

Simulating New and Old Twitter User Activity with XGBoost and Probabilistic Hybrid Models. - Frederick Mubang; Lawrence O. Hall (ICMLA, 2022)

Simulating User-Level Twitter Activity with XGBoost and Probabilistic Hybrid Models. - Frederick Mubang; Lawrence O. Hall (CoRR, 2022)

Social Media Time Series Forecasting and User-Level Activity Prediction with Gradient Boosting, Deep Learning, and Data Augmentation. - Frederick Mubang (2022)

Using SMOTE-based Data Augmentation for Social Media Time Series Prediction. - Frederick Mubang; Lawrence O. Hall (SMC, 2023)

VAM: An End-to-End Simulator for Time Series Regression and Temporal Link Prediction in Social Media Networks. - Frederick Mubang; Lawrence O. Hall (IEEE Trans. Comput. Soc. Syst., 2023)

Experimental evaluation of baselines for forecasting social media timeseries. - Kin Wai Ng; Frederick Mubang; Lawrence O. Hall; John Skvoretz; Adriana Iamnitchi (EPJ Data Sci., 2023)

Modeling information diffusion in social media: data-driven observations. - Adriana Iamnitchi; Lawrence O. Hall; Sameera Horawalavithana; Frederick Mubang; Kin Wai Ng; John Skvoretz (Frontiers Big Data, 2024)