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ORCIDBrett J. Borghetti
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2020 – today
- 2024
[j25]Jeffrey Choate
, Derek Worth, Scott Nykl, Clark N. Taylor, Brett J. Borghetti, Christine M. Schubert-Kabban:
An analysis of precision: occlusion and perspective geometry's role in 6D pose estimation. Neural Comput. Appl. 36(3): 1261-1281 (2024)- [j24]Jose A. Gutierrez del Arroyo, Brett J. Borghetti, Michael A. Temple:
Fingerprint Extraction Through Distortion Reconstruction (FEDR): A CNN-Based Approach to RF Fingerprinting. IEEE Trans. Inf. Forensics Secur. 19: 9258-9269 (2024) - 2023
- [j23]Tor J. Langehaug, Brett J. Borghetti, Scott R. Graham:
Classifying Co-resident Computer Programs Using Information Revealed by Resource Contention. DTRAP 4(2): 17:1-17:29 (2023) - [j22]Mark C. Duncan, Michael E. Miller, Brett J. Borghetti:
Analysis and Requirement Generation for Defense Intelligence Search: Addressing Data Overload through Human-AI Agent System Design for Ambient Awareness. Syst. 11(12): 561 (2023) - 2022
- [j21]Tor J. Langehaug, Scott R. Graham, Christine M. Schubert-Kabban, Brett J. Borghetti:
MADFAM: MicroArchitectural Data Framework and Methodology. IEEE Access 10: 23511-23531 (2022) - [j20]Daniel J. Koranek, Scott R. Graham, Brett J. Borghetti, Wayne C. Henry:
Identification of Return-Oriented Programming Attacks Using RISC-V Instruction Trace Data. IEEE Access 10: 45347-45364 (2022) - [j19]Joseph C. Hoecherl, Matthew J. Robbins, Brett J. Borghetti, Raymond R. Hill:
Partially autoregressive machine learning: Development and testing of methods to predict United States Air Force retention. Comput. Ind. Eng. 171: 108424 (2022) - [j18]Kevin T. Decker, Brett J. Borghetti:
Composite Style Pixel and Point Convolution-Based Deep Fusion Neural Network Architecture for the Semantic Segmentation of Hyperspectral and Lidar Data. Remote. Sens. 14(9): 2113 (2022) - [j17]Jose A. Gutierrez del Arroyo, Brett J. Borghetti, Michael A. Temple:
Considerations for Radio Frequency Fingerprinting across Multiple Frequency Channels. Sensors 22(6): 2111 (2022) - 2021
- [j16]Alexander Kamrud, Brett J. Borghetti, Christine M. Schubert-Kabban:
The Effects of Individual Differences, Non-Stationarity, and the Importance of Data Partitioning Decisions for Training and Testing of EEG Cross-Participant Models. Sensors 21(9): 3225 (2021) - [j15]Alexander Kamrud, Brett J. Borghetti, Christine M. Schubert-Kabban, Michael E. Miller:
Generalized Deep Learning EEG Models for Cross-Participant and Cross-Task Detection of the Vigilance Decrement in Sustained Attention Tasks. Sensors 21(16): 5617 (2021) - [j14]Nicholas Westing, Kevin C. Gross, Brett J. Borghetti, Christine M. Schubert-Kabban, Jacob A. Martin, Joseph Meola:
Multimodal Representation Learning and Set Attention for LWIR In-Scene Atmospheric Compensation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 127-140 (2021) - 2020
- [j13]Andrew Lee, Will Dallmann, Scott Nykl, Clark N. Taylor, Brett J. Borghetti:
Long-Range Pose Estimation for Aerial Refueling Approaches Using Deep Neural Networks. J. Aerosp. Inf. Syst. 17(11): 634-646 (2020) - [j12]Nicholas Westing, Kevin C. Gross, Brett J. Borghetti, Jacob A. Martin, Joseph Meola:
Learning Set Representations for LWIR In-Scene Atmospheric Compensation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 1438-1449 (2020) - [c13]David Crow, Scott R. Graham, Brett J. Borghetti, Patrick Sweeney:
Engaging Empirical Dynamic Modeling to Detect Intrusions in Cyber-Physical Systems. Critical Infrastructure Protection 2020: 111-133
2010 – 2019
- 2019
- [j11]Nicholas Westing, Brett J. Borghetti, Kevin C. Gross:
Fast and Effective Techniques for LWIR Radiative Transfer Modeling: A Dimension-Reduction Approach. Remote. Sens. 11(16): 1866 (2019) - [j10]Joshua T. Dickey, Brett J. Borghetti, William Junek:
Improving Regional and Teleseismic Detection for Single-Trace Waveforms Using a Deep Temporal Convolutional Neural Network Trained with an Array-Beam Catalog. Sensors 19(3): 597 (2019) - [i1]Joshua T. Dickey, Brett J. Borghetti, William Junek, Richard Martin:
Beyond Correlation: A Path-Invariant Measure for Seismogram Similarity. CoRR abs/1904.07936 (2019) - 2018
- [j9]Ryan G. Hefron, Brett J. Borghetti, Christine M. Schubert-Kabban, James C. Christensen, Justin Estepp:
Cross-Participant EEG-Based Assessment of Cognitive Workload Using Multi-Path Convolutional Recurrent Neural Networks. Sensors 18(5): 1339 (2018) - [c12]Kenneth R. Sample, Alan C. Lin, Brett J. Borghetti, Gilbert L. Peterson:
Predicting Trouble Ticket Resolution. FLAIRS 2018: 201-204 - 2017
- [j8]Brett J. Borghetti, Joseph J. Giametta, Christina F. Rusnock:
Assessing Continuous Operator Workload With a Hybrid Scaffolded Neuroergonomic Modeling Approach. Hum. Factors 59(1): 134-146 (2017) - [j7]Ryan G. Hefron, Brett J. Borghetti, James C. Christensen, Christine M. Schubert-Kabban:
Deep long short-term memory structures model temporal dependencies improving cognitive workload estimation. Pattern Recognit. Lett. 94: 96-104 (2017) - 2016
- [c11]Brett J. Borghetti, Christina F. Rusnock:
Introduction to Real-Time State Assessment. HCI (13) 2016: 311-321 - [c10]Ryan G. Hefron, Brett J. Borghetti:
A New Feature for Cross-Day Psychophysiological Workload Estimation. ICMLA 2016: 785-790 - [c9]Robert Mash, Brett J. Borghetti, John M. Pecarina:
Improved Aircraft Recognition for Aerial Refueling Through Data Augmentation in Convolutional Neural Networks. ISVC (1) 2016: 113-122 - 2015
- [j6]David J. Weller-Fahy, Brett J. Borghetti, Angela A. Sodemann:
A Survey of Distance and Similarity Measures Used Within Network Intrusion Anomaly Detection. IEEE Commun. Surv. Tutorials 17(1): 70-91 (2015) - [c8]Christina Rusnock, Brett J. Borghetti, Ian McQuaid:
Objective-Analytical Measures of Workload - the Third Pillar of Workload Triangulation? HCI (15) 2015: 124-135 - [c7]Russell G. Shirey, Kenneth M. Hopkinson, Kyle E. Stewart, Douglas D. Hodson, Brett J. Borghetti:
Analysis of Implementations to Secure Git for Use as an Encrypted Distributed Version Control System. HICSS 2015: 5310-5319 - [c6]Joseph J. Giametta, Brett J. Borghetti:
EEG-based Secondary Task Detection in a Multiple Objective Operational Environment. ICMLA 2015: 608-613 - 2012
- [j5]Angela A. Sodemann, Matthew P. Ross, Brett J. Borghetti:
A Review of Anomaly Detection in Automated Surveillance. IEEE Trans. Syst. Man Cybern. Part C 42(6): 1257-1272 (2012) - 2011
- [j4]Ryan W. Thomas, Brett J. Borghetti, Ramakant S. Komali, Petri Mähönen:
Understanding conditions that lead to emulation attacks in dynamic spectrum access. IEEE Commun. Mag. 49(3): 32-37 (2011) - [j3]Kurt Weissgerber, Gary B. Lamont, Brett J. Borghetti, Gilbert L. Peterson:
Determining Solution Space Characteristics for Real-Time Strategy Games and Characterizing Winning Strategies. Int. J. Comput. Games Technol. 2011: 834026:1-834026:17 (2011) - [j2]John F. Borowski, Kenneth M. Hopkinson, Jeffrey W. Humphries, Brett J. Borghetti:
Reputation-Based Trust for a Cooperative Agent-Based Backup Protection Scheme. IEEE Trans. Smart Grid 2(2): 287-301 (2011) - [p1]Brett J. Borghetti, Maria L. Gini:
Weighted Prediction Divergence for Metareasoning. Metareasoning 2011: 249-264 - 2010
- [j1]Brett J. Borghetti:
The Environment Value of an Opponent Model. IEEE Trans. Syst. Man Cybern. Part B 40(3): 623-633 (2010) - [c5]Kurt Weissgerber, Brett J. Borghetti, Gilbert L. Peterson:
An Effective and Efficient Real Time Strategy Agent. FLAIRS 2010 - [c4]Hyon Kwak, Brett J. Borghetti:
Reducing communication detection and eavesdropping using mobile agent relay networks. WSC 2010: 2832-2841
2000 – 2009
- 2009
- [c3]Daylond James Hooper, Gilbert L. Peterson, Brett J. Borghetti:
Dynamic coalition formation under uncertainty. IROS 2009: 4799-4804 - 2006
- [c2]Brett J. Borghetti, Eric Sodomka:
Performance Evaluation Methods for the Trading Agent Competition. AAAI 2006: 1857-1858 - [c1]Brett J. Borghetti, Eric Sodomka, Maria L. Gini, John Collins:
A Market-Pressure-Based Performance Evaluator for TAC-SCM. TADA/AMEC 2006: 178-188
Coauthor Index
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