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Frederick Mubang
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2020 – today
- 2024
- [j3]Adriana Iamnitchi, Lawrence O. Hall, Sameera Horawalavithana, Frederick Mubang, Kin Wai Ng
, John Skvoretz:
Modeling information diffusion in social media: data-driven observations. Frontiers Big Data 6 (2024) - 2023
- [j2]Kin Wai Ng
, Frederick Mubang, Lawrence O. Hall, John Skvoretz, Adriana Iamnitchi
:
Experimental evaluation of baselines for forecasting social media timeseries. EPJ Data Sci. 12(1): 8 (2023) - [j1]Frederick Mubang
, Lawrence O. Hall
:
VAM: An End-to-End Simulator for Time Series Regression and Temporal Link Prediction in Social Media Networks. IEEE Trans. Comput. Soc. Syst. 10(4): 1479-1490 (2023) - [c4]Frederick Mubang, Lawrence O. Hall:
Using SMOTE-based Data Augmentation for Social Media Time Series Prediction. SMC 2023: 893-898 - 2022
- [b1]Frederick Mubang:
Social Media Time Series Forecasting and User-Level Activity Prediction with Gradient Boosting, Deep Learning, and Data Augmentation. University of South Florida, Tampa, USA, 2022 - [c3]Frederick Mubang, Lawrence O. Hall:
Simulating New and Old Twitter User Activity with XGBoost and Probabilistic Hybrid Models. ICMLA 2022: 132-139 - [i2]Frederick Mubang, Lawrence O. Hall:
Simulating User-Level Twitter Activity with XGBoost and Probabilistic Hybrid Models. CoRR abs/2202.08964 (2022) - [i1]Kin Wai Ng, Frederick Mubang, Lawrence O. Hall, John Skvoretz, Adriana Iamnitchi:
Experimental Evaluation of Baselines for Forecasting Social Media Timeseries. CoRR abs/2210.05847 (2022) - 2020
- [c2]Renhao Liu, Frederick Mubang, Lawrence O. Hall:
Simulating Temporal User Activity on Social Networks with Sequence to Sequence Neural Models. SMC 2020: 1677-1684
2010 – 2019
- 2019
- [c1]Renhao Liu, Frederick Mubang, Lawrence O. Hall, Sameera Horawalavithana
, Adriana Iamnitchi
, John Skvoretz:
Predicting Longitudinal User Activity at Fine Time Granularity in Online Collaborative Platforms. SMC 2019: 2535-2542
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