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John M. Fossaceca

Observed names: Fossaceca, John, Fossaceca, John M., J.M. Fossaceca, John A. Fossaceca, John Fossaceca
ORCID: 0000-0002-4610-5348
Observed ORCID: 0000-0002-4610-5348
OpenAlex ID: A5057755856
MARK-ELM: Application of a novel Multiple Kernel Learning framework for improving the robustness of Network Intrusion Detection
2015 · John M. Fossaceca, Thomas A. Mazzuchi, et al. · Expert Systems with Applications · 87
A Cloud-Based Computing Framework for Artificial Intelligence Innovation in Support of Multidomain Operations
2021 · James Robertson, John Fossaceca, et al. · IEEE Transactions on Engineering Management · 74
Evaluation of preconditions affecting symptomatic human error in general aviation and air carrier aviation accidents
2018 · Anthony J. Erjavac, Ronald Iammartino, et al. · Reliability Engineering & System Safety · 48
A Semi-Boosted Nested Model With Sensitivity-Based Weighted Binarization for Multi-Domain Network Intrusion Detection
2019 · Joseph W. Mikhail, John M. Fossaceca, et al. · ACM Transactions on Intelligent Systems and Technology · 38
Artificial intelligence and machine learning for future army applications
2018 · John M. Fossaceca, Stuart H. Young · Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR · 16
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Software obsolescence risk assessment approach using multicriteria decision‐making
2018 · Ted F. Bowlds, John M. Fossaceca, et al. · Systems Engineering · 11
The PathStar access server: Facilitating carrier-scale packet telephony
1998 · John M. Fossaceca, James D. Sandoz, et al. · Bell Labs Technical Journal · 10
Imaging in diffusing media with a neural net formulation: a problem in large-scale computation
1992 · Fred H. Schlereth, John A. Fossaceca, et al. · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 10
Strategic maneuver and disruption with reinforcement learning approaches for multi-agent coordination
2022 · Derrik E Asher, Anjon Basak, et al. · The Journal of Defense Modeling and Simulation Applications Methodology Technology · 9
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Toward Scene Understanding with Depth and Object-Aware Clustering in Contested Environment
2023 · Manish Bhurtel, Yuba R. Siwakoti, et al. · International Conference on Machine Learning and Applications · 8
Multiattribute Framework for Requirements Elicitation in Phased Array Radar Systems
2018 · Matthew Tompkins, Ronald Iammartino, et al. · IEEE Transactions on Engineering Management · 6
EM-AUC: A Novel Algorithm for Evaluating Anomaly Based Network Intrusion Detection Systems
2024 · Kevin Z. Bai, John M. Fossaceca · Sensors · 5
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Auto Defect Detection Using Customer Reviews for Product Recall Insurance Analysis
2021 · Titus Hei Yeung Fong, Shahryar Sarkani, et al. · Frontiers in Applied Mathematics and Statistics · 5
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Multi-Agent Coordination for Strategic Maneuver with a Survey of Reinforcement Learning
2021 · Rolando Fernandez, Derrik Asher, et al. · 3
Assessing the impact of requirements review on quality outcomes
2018 · Timothy E. White, Ronald Iammartino, et al. · Quality and Reliability Engineering International · 2
Multicomputer-based neural networks for imaging in random media
2002 · F.H. Schlereth, J.M. Fossaceca, et al. · IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) · 2
Delivering on the promise of autonomous agents in the battlefield
2023 · John M. Fossaceca · Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications · 1
Rotation-Based Subspace Tracking for Robust Kernel PCA on Streaming Data
2026 · Lokere, Kris, Fossaceca, John · arXiv (Cornell University)
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EvalStop: Using World Feedback to Detect and Correct Reward Overoptimization in Multi-Tenant RLHF Platforms
2026 · Zhang, Guilin, Sun, Chuanyi, et al. · arXiv (Cornell University)
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When Does Deep RL Beat Calibrated Baselines? A Benchmark Study on Adaptive Resource Control
2026 · Zhang, Guilin, Sun, Chuanyi, et al. · arXiv (Cornell University)
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Works count: 20
Citation count: 335
H-index: 9
I10-index: 8
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