Dr. Bruce A. Cox, Ph.D.
Publications
REFEREED JOURNAL ARTICLES
1. Bill*, J., Cox, B., and Champagne, L., “A Comparison of Quaternion Neural Network Backpropagation Algorithms”, Expert Systems With Applications (Scimago Journal Rank: Q1). Published online: June 2023. Available online at: https://doi.org/10.1016/j.eswa.2023.120448
2. Chale*, M., Cox, B., and Bastian, N. “Constrained Optimization Based Adversarial Example Generation for Transfer Attacks in Network Intrusion Detection Systems”, Optimization Letters (Scimago Journal Rank: Q2). In print: May 2023. Available online at: https://doi.org/10.1007/s11590-023-02007-7
3. McCloskey*, B., Cox, B., Champagne, L., and Bihl, T. “Benefits of Using Blended Generative Adversarial Network Images to Augment Classification Model Training Datasets” Journal of Defense Modeling and Simulation (Scimago Journal Rank: Q3). Published online: April 2023. Available online at: https://doi.org/10.1177/15485129231170225
4. Glenn*, A., LaCasse, P, and Cox, B., “Emotion classification of Indonesian Tweets using Bidirectional LSTM.” Neural Computing and Applications (Scimago Journal Rank: Q1). Published online: Feb 2023. Available online at: https://doi.org/10.1007/s00521-022-08186-1
5. Hornberger*, Z., Cox, B., and Lunday, B., “Optimal Heterogeneous Search and Rescue Asset Location Modeling for Expected Spatiotemporal Demands using Historic Event Data.” Journal of the Operational Research Society (Scimago Journal Rank: Q1). In print: May 2022. Available online at: https://doi.org/10.1080/01605682.2021.1877576
6. Zawadzki, M., Montibeller, G., Cox, B., and Belderrain, C., “Deterrence against terrorist attacks in sportsmega events: A method to identify the optimal portfolio of defensive countermeasures.” Risk Analysis (Scimago Journal Rank: Q1). In print: Mar 2022. Available online at: https://doi.org/10.1111/risa.13794
7. Preston*, J, Cox, B., Rebeiz, P., and Breitbach, T., “Developing a Resilient, Robust and Efficient Supply Network in Africa.” Journal of Defense Analytics and Logistics (Scimago Journal Rank: N/A). In print: Dec 2021. Available online at: https://www.emerald.com/insight/content/doi/10.1108/JDAL-09-2021- 0006/full/html
8. Hornberger*, Z., Cox, B., and Hill, R., "Analysis of the Effects of Spatiotemporal Demand Data Aggregation Methods on Distance and Volume Errors.” Journal of Defense Analytics and Logistic (Scimago Journal Rank: N/A). In print: Aug 2021. Available online at: https://doi.org/10.1108/JDAL-03- 2020-0003
9. Bill*, J., Champagne, L., Cox, B., and Bihl, T., “Meta-Heuristic Optimization Methods for QuaternionValued Neural Networks.” Mathematics (Scimago Journal Rank: Q2). In print: April 2021. Available online at: https://doi.org/10.3390/math9090938
10. Jackovich*, P., Cox, B., and Hill, R., “Comparing Greedy Constructive Heuristic Subtour Elimination Methods for the Traveling Salesman Problem.” Journal of Defense Analytics and Logistics (Scimago Journal Rank: N/A). In print: Dec 2020. Available online at: https://doi.org/10.1108/JDAL-09-2020-0018
11. Cox, B., Juditsky, A., and Nemirovski, A. “Decomposition Techniques for Bilinear Saddle Point Problems and Variational Inequalities with Affine Monotone Operators.” Journal of Optimization Theory and Applications (Scimago Journal Rank: Q1), Volume 172, pp 402–435, (Feb 2017). Available online at: https://doi.org/10.1007/s10957-016-0949-3
12. Cox, B., Juditsky, A., and Nemirovski, A. “Dual subgradient algorithms for large-scale nonsmooth learning problems.” Mathematical Programming Series B (Scimago Journal Rank: Q1), 148:1-2 (Dec 2014). Available online at: https://doi.org/10.1007/s10107-013-0725-1