Joel Vaughan

According to our database1, Joel Vaughan authored at least 13 papers between 2010 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations.
CoRR, 2024

Assessing Robustness of Machine Learning Models using Covariate Perturbations.
CoRR, 2024

2022
Behavior of Hyper-Parameters for Selected Machine Learning Algorithms: An Empirical Investigation.
CoRR, 2022

Quantifying Inherent Randomness in Machine Learning Algorithms.
CoRR, 2022

Interpretable Feature Engineering for Time Series Predictors using Attention Networks.
CoRR, 2022

2021
Traversing the Local Polytopes of ReLU Neural Networks: A Unified Approach for Network Verification.
CoRR, 2021

Supervised Linear Dimension-Reduction Methods: Review, Extensions, and Comparisons.
CoRR, 2021

2020
Supervised Machine Learning Techniques: An Overview with Applications to Banking.
CoRR, 2020

Adaptive Explainable Neural Networks (AxNNs).
CoRR, 2020

2018
Explainable Neural Networks based on Additive Index Models.
CoRR, 2018

2013
Network-Wide Statistical Modeling, Prediction, and Monitoring of Computer Traffic.
Technometrics, 2013

2010
Global Modeling and Prediction of Computer Network Traffic
CoRR, 2010

On Global Modeling of Backbone Network Traffic.
Proceedings of the INFOCOM 2010. 29th IEEE International Conference on Computer Communications, 2010


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