John T. Holodnak
Orcid: 0000-0002-6603-3046
According to our database1,
John T. Holodnak
authored at least 12 papers
between 2013 and 2024.
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Bibliography
2024
Extensible Machine Learning for Encrypted Network Traffic Application Labeling via Uncertainty Quantification.
IEEE Trans. Artif. Intell., January, 2024
2023
ScatterUQ: Interactive Uncertainty Visualizations for Multiclass Deep Learning Problems.
Proceedings of the 2023 IEEE Visualization and Visual Analytics (VIS), 2023
Proceedings of the Annual Computer Security Applications Conference, 2023
2022
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022
AI-Enabling Workloads on Large-Scale GPU-Accelerated System: Characterization, Opportunities, and Implications.
Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2022
2021
On the Effectiveness of Mode Exploration in Bayesian Model Averaging for Neural Networks.
CoRR, 2021
2019
An Empirical Evaluation of the Effect of Adversarial Labels on Classifier Accuracy Estimation.
Proceedings of the Thirty-Second International Florida Artificial Intelligence Research Society Conference, 2019
2018
SIAM J. Matrix Anal. Appl., 2018
2016
A Model-Based Approach to Predicting the Performance of Insider Threat Detection Systems.
Proceedings of the 2016 IEEE Security and Privacy Workshops, 2016
2015
SIAM J. Matrix Anal. Appl., 2015
Randomized Approximation of the Gram Matrix: Exact Computation and Probabilistic Bounds.
SIAM J. Matrix Anal. Appl., 2015
2013
CoRR, 2013