Frederick Mubang

Orcid: 0000-0002-8320-3684

According to our database1, Frederick Mubang authored at least 9 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Modeling information diffusion in social media: data-driven observations.
Frontiers Big Data, 2024

2023
Experimental evaluation of baselines for forecasting social media timeseries.
EPJ Data Sci., December, 2023

VAM: An End-to-End Simulator for Time Series Regression and Temporal Link Prediction in Social Media Networks.
IEEE Trans. Comput. Soc. Syst., August, 2023

Using SMOTE-based Data Augmentation for Social Media Time Series Prediction.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

2022
Social Media Time Series Forecasting and User-Level Activity Prediction with Gradient Boosting, Deep Learning, and Data Augmentation.
PhD thesis, 2022

Simulating User-Level Twitter Activity with XGBoost and Probabilistic Hybrid Models.
CoRR, 2022

Simulating New and Old Twitter User Activity with XGBoost and Probabilistic Hybrid Models.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

2020
Simulating Temporal User Activity on Social Networks with Sequence to Sequence Neural Models.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

2019
Predicting Longitudinal User Activity at Fine Time Granularity in Online Collaborative Platforms.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019


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