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Joel Vaughan
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Journal Articles
- 2013
- [j1]Joel Vaughan, Stilian Stoev, George Michailidis:
Network-Wide Statistical Modeling, Prediction, and Monitoring of Computer Traffic. Technometrics 55(1): 79-93 (2013)
Conference and Workshop Papers
- 2010
- [c1]Stilian Stoev, George Michailidis, Joel Vaughan:
On Global Modeling of Backbone Network Traffic. INFOCOM 2010: 196-200
Informal and Other Publications
- 2022
- [i9]Tianjie Wang, Jie Chen, Joel Vaughan, Vijayan N. Nair:
Interpretable Feature Engineering for Time Series Predictors using Attention Networks. CoRR abs/2205.12723 (2022) - [i8]Soham Raste, Rahul Singh, Joel Vaughan, Vijayan N. Nair:
Quantifying Inherent Randomness in Machine Learning Algorithms. CoRR abs/2206.12353 (2022) - [i7]Anwesha Bhattacharyya, Joel Vaughan, Vijayan N. Nair:
Behavior of Hyper-Parameters for Selected Machine Learning Algorithms: An Empirical Investigation. CoRR abs/2211.08536 (2022) - 2021
- [i6]Shaojie Xu, Joel Vaughan, Jie Chen, Agus Sudjianto, Vijayan N. Nair:
Supervised Linear Dimension-Reduction Methods: Review, Extensions, and Comparisons. CoRR abs/2109.04244 (2021) - [i5]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 abs/2111.08922 (2021) - 2020
- [i4]Jie Chen, Joel Vaughan, Vijayan N. Nair, Agus Sudjianto:
Adaptive Explainable Neural Networks (AxNNs). CoRR abs/2004.02353 (2020) - [i3]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 abs/2008.04059 (2020) - 2018
- [i2]Joel Vaughan, Agus Sudjianto, Erind Brahimi, Jie Chen, Vijayan N. Nair:
Explainable Neural Networks based on Additive Index Models. CoRR abs/1806.01933 (2018) - 2010
- [i1]Stilian Stoev, George Michailidis, Joel Vaughan:
Global Modeling and Prediction of Computer Network Traffic. CoRR abs/1005.4337 (2010)
Coauthor Index
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