Joel Vaughan

Publication Activity (10 Years)

Years Active: 2010-2022
Publications (10 Years): 8

Top Topics

Top Venues

Publications

Tianjie Wang, Jie Chen, Joel Vaughan, Vijayan N. Nair
Interpretable Feature Engineering for Time Series Predictors using Attention Networks. CoRR (2022)
Soham Raste, Rahul Singh, Joel Vaughan, Vijayan N. Nair
Quantifying Inherent Randomness in Machine Learning Algorithms. CoRR (2022)
Anwesha Bhattacharyya, Joel Vaughan, Vijayan N. Nair
Behavior of Hyper-Parameters for Selected Machine Learning Algorithms: An Empirical Investigation. CoRR (2022)
Shaojie Xu, Joel Vaughan, Jie Chen, Aijun Zhang, Agus Sudjianto
Traversing the Local Polytopes of ReLU Neural Networks: A Unified Approach for Network Verification. CoRR (2021)
Shaojie Xu, Joel Vaughan, Jie Chen, Agus Sudjianto, Vijayan N. Nair
Supervised Linear Dimension-Reduction Methods: Review, Extensions, and Comparisons. CoRR (2021)
Linwei Hu, Jie Chen, Joel Vaughan, Hanyu Yang, Kelly Wang, Agus Sudjianto, Vijayan N. Nair
Supervised Machine Learning Techniques: An Overview with Applications to Banking. CoRR (2020)
Jie Chen, Joel Vaughan, Vijayan N. Nair, Agus Sudjianto
Adaptive Explainable Neural Networks (AxNNs). CoRR (2020)
Joel Vaughan, Agus Sudjianto, Erind Brahimi, Jie Chen, Vijayan N. Nair
Explainable Neural Networks based on Additive Index Models. CoRR (2018)
Joel Vaughan, Stilian Stoev, George Michailidis
Network-Wide Statistical Modeling, Prediction, and Monitoring of Computer Traffic. Technometrics 55 (1) (2013)
Stilian Stoev, George Michailidis, Joel Vaughan
On Global Modeling of Backbone Network Traffic. INFOCOM (2010)
Stilian Stoev, George Michailidis, Joel Vaughan
Global Modeling and Prediction of Computer Network Traffic CoRR (2010)