Joel Vaughan

According to our database, Joel Vaughan authored at least 11 papers between 2010 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Behavior of Hyper-Parameters for Selected Machine Learning Algorithms: An Empirical Investigation.

Anwesha Bhattacharyya, Joel Vaughan, Vijayan N. Nair

CoRR, 2022

Quantifying Inherent Randomness in Machine Learning Algorithms.

Soham Raste, Rahul Singh, Joel Vaughan, Vijayan N. Nair

CoRR, 2022

Interpretable Feature Engineering for Time Series Predictors using Attention Networks.

Tianjie Wang, Jie Chen, Joel Vaughan, Vijayan N. Nair

CoRR, 2022

2021

Traversing the Local Polytopes of ReLU Neural Networks: A Unified Approach for Network Verification.

Shaojie Xu, Joel Vaughan, Jie Chen, Aijun Zhang, Agus Sudjianto

CoRR, 2021

Supervised Linear Dimension-Reduction Methods: Review, Extensions, and Comparisons.

Shaojie Xu, Joel Vaughan, Jie Chen, Agus Sudjianto, Vijayan N. Nair

CoRR, 2021

2020

Supervised Machine Learning Techniques: An Overview with Applications to Banking.

Linwei Hu, Jie Chen, Joel Vaughan, Hanyu Yang, Kelly Wang, Agus Sudjianto, Vijayan N. Nair

CoRR, 2020

Adaptive Explainable Neural Networks (AxNNs).

Jie Chen, Joel Vaughan, Vijayan N. Nair, Agus Sudjianto

CoRR, 2020

2018

Explainable Neural Networks based on Additive Index Models.

Joel Vaughan, Agus Sudjianto, Erind Brahimi, Jie Chen, Vijayan N. Nair

CoRR, 2018

2013

Network-Wide Statistical Modeling, Prediction, and Monitoring of Computer Traffic.

Joel Vaughan, Stilian Stoev, George Michailidis

Technometrics, 2013

2010

Global Modeling and Prediction of Computer Network Traffic

Stilian Stoev, George Michailidis, Joel Vaughan

CoRR, 2010

On Global Modeling of Backbone Network Traffic.

Stilian Stoev, George Michailidis, Joel Vaughan

Proceedings of the INFOCOM 2010. 29th IEEE International Conference on Computer Communications, 2010