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ORCIDTrevor J. Bihl
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- affiliation: Wright-Patterson Air Force Base, Air Force Research Laboratory, OH, USA
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2020 – today
- 2025
[j14]Alex Vicente-Sola
, Davide L. Manna, Paul Kirkland, Gaetano Di Caterina, Trevor J. Bihl:
Spiking Neural Networks for event-based action recognition: A new task to understand their advantage. Neurocomputing 611: 128657 (2025)- 2024
- [j13]Kara Combs, Adam Moyer, Trevor J. Bihl:
Uncertainty in Visual Generative AI. Algorithms 17(4): 136 (2024) - [j12]Davide Liberato Manna, Alex Vicente-Sola, Paul Kirkland, Trevor Joseph Bihl, Gaetano Di Caterina:
Time Series Forecasting via Derivative Spike Encoding and Bespoke Loss Functions for Spiking Neural Networks. Comput. 13(8): 202 (2024) - [j11]Kara Combs, Trevor J. Bihl, Subhashini Ganapathy:
Utilization of generative AI for the characterization and identification of visual unknowns. Nat. Lang. Process. J. 7: 100064 (2024) - [c28]Marco Cominelli, Francesco Gringoli, Lance M. Kaplan, Mani B. Srivastava, Trevor Bihl, Erik Philip Blasch, Nandini Iyer, Federico Cerutti:
Neuro-Symbolic Fusion of Wi-Fi Sensing Data for Passive Radar with Inter-Modal Knowledge Transfer. FUSION 2024: 1-8 - [c27]Kara Combs, Trevor Bihl, James Pennington:
Interoperability for Autonomy. HICSS 2024: 903-912 - [c26]Kara Combs, Trevor Bihl:
A Preliminary Look at Generative AI for the Creation of Abstract Verbal-to-visual Analogies. HICSS 2024: 1180-1189 - [c25]Trevor Bihl, Patrick Farr, Gaetano Di Caterina, Alex Vicente-Sola, Davide L. Manna, Paul Kirkland, Jundong Liu, Kara Combs:
Exploring Spiking Neural Networks (SNN) for Low Size, Weight, and Power (SWaP) Benefits. HICSS 2024: 7561-7570 - [c24]Kara Combs, Trevor J. Bihl, Arya Gadre, Isaiah Christopherson:
A Human-factors Approach for Evaluating AI-generated Images. SIGMIS-CPR 2024: 7:1-7:9 - [i7]Marco Cominelli, Francesco Gringoli, Lance M. Kaplan, Mani B. Srivastava, Trevor Bihl, Erik Philip Blasch, Nandini Iyer, Federico Cerutti:
Neuro-Symbolic Fusion of Wi-Fi Sensing Data for Passive Radar with Inter-Modal Knowledge Transfer. CoRR abs/2407.04734 (2024) - 2023
- [j10]Kara Combs, Hongjing Lu, Trevor J. Bihl:
Transfer Learning and Analogical Inference: A Critical Comparison of Algorithms, Methods, and Applications. Algorithms 16(3): 146 (2023) - [c23]Anthony Baietto, Christopher Stewart, Trevor J. Bihl:
Dataset Augmentation for Robust Spiking Neural Networks. ACSOS-C 2023: 116-121 - [c22]Davide L. Manna, Alex Vicente-Sola, Paul Kirkland, Trevor J. Bihl, Gaetano Di Caterina:
Frameworks for SNNs: A Review of Data Science-Oriented Software and an Expansion of SpykeTorch. EANN 2023: 227-238 - [c21]Kara Combs, Trevor Bihl:
Clustering and Topological Data Analysis: Comparison and Application. HICSS 2023: 815-824 - [c20]Kara Combs, Trevor Bihl, Subhashini Ganapathy:
Integration of Computer Vision with Analogical Reasoning for Characterizing Unknowns. HICSS 2023: 960-969 - [c19]Trevor J. Bihl, Chadwick Cox, Yuki Adams, James Pennington:
Autonomous Search and Rescue with Modeling and Simulation and Metrics. HICSS 2023: 1768-1777 - [c18]Ye Yue, Marc Baltes, Nidal Abujahar, Tao Sun, Charles D. Smith, Trevor Bihl, Jundong Liu:
Hybrid Spiking Neural Networks Fine-Tuning for Hippocampus Segmentation. ISBI 2023: 1-5 - [i6]Ye Yue, Marc Baltes, Nidal Abujahar, Tao Sun, Charles D. Smith, Trevor Bihl, Jundong Liu:
Hybrid Spiking Neural Network Fine-tuning for Hippocampus Segmentation. CoRR abs/2302.07328 (2023) - [i5]Davide Liberato Manna, Alex Vicente-Sola, Paul Kirkland, Trevor Joseph Bihl, Gaetano Di Caterina:
Frameworks for SNNs: a Review of Data Science-oriented Software and an Expansion of SpykeTorch. CoRR abs/2302.07624 (2023) - 2022
- [j9]Alex Vicente-Sola, Davide L. Manna, Paul Kirkland, Gaetano Di Caterina, Trevor Bihl:
Keys to accurate feature extraction using residual spiking neural networks. Neuromorph. Comput. Eng. 2(4): 44001 (2022) - [j8]Davide L. Manna, Alex Vicente-Sola, Paul Kirkland, Trevor J. Bihl, Gaetano Di Caterina:
Simple and complex spiking neurons: perspectives and analysis in a simple STDP scenario. Neuromorph. Comput. Eng. 2(4): 44009 (2022) - [j7]Anthony Baietto, Jayson Boubin, Patrick Farr, Trevor J. Bihl, Aaron M. Jones, Christopher Stewart:
Lean Neural Networks for Autonomous Radar Waveform Design. Sensors 22(4): 1317 (2022) - [c17]Trevor J. Bihl, Aaron M. Jones, Patrick Farr, Kayla Straub, Brian Bontempo, Frank Jones:
Assessing Multi-Agent Reinforcement Learning Algorithms for Autonomous Sensor Resource Management. HICSS 2022: 1-10 - [c16]Kara Combs, Trevor Bihl, Subhashini Ganapathy, Drue Staples:
Analogical Reasoning: An Algorithm Comparison for Natural Language Processing. HICSS 2022: 1-10 - [c15]Emmie Swize, Lance E. Champagne, Bruce Cox, Trevor Bihl:
Bayesian Augmentation of Deep Learning to Improve Video Classification. HICSS 2022: 1-10 - [c14]Anthony Baietto, Jayson Boubin, Patrick Farr, Trevor J. Bihl:
Lean Neural Networks for Real-time Embedded Spectral Notching Waveform Design. ISIE 2022: 1121-1126 - [i4]Davide Liberato Manna, Alex Vicente-Sola, Paul Kirkland, Trevor J. Bihl, Gaetano Di Caterina:
Simple and complex spiking neurons: perspectives and analysis in a simple STDP scenario. CoRR abs/2207.04881 (2022) - [i3]Alex Vicente-Sola, Davide L. Manna, Paul Kirkland, Gaetano Di Caterina, Trevor J. Bihl:
Evaluating the temporal understanding of neural networks on event-based action recognition with DVS-Gesture-Chain. CoRR abs/2209.14915 (2022) - [i2]Taylor W. Webb, Shuhao Fu, Trevor Bihl, Keith J. Holyoak, Hongjing Lu:
Zero-shot visual reasoning through probabilistic analogical mapping. CoRR abs/2209.15087 (2022) - 2021
- [c13]Trevor J. Bihl, Joseph Schoenbeck, Christopher Rondeau, Aaron M. Jones, Yuki Adams:
Tuning Hyperparameters for DNA-based Discrimination of Wireless Devices. HICSS 2021: 1-10 - [i1]Alex Vicente-Sola, Davide L. Manna, Paul Kirkland, Gaetano Di Caterina, Trevor J. Bihl:
Keys to Accurate Feature Extraction Using Residual Spiking Neural Networks. CoRR abs/2111.05955 (2021) - 2020
- [j6]Trevor J. Bihl, Todd J. Paciencia, Kenneth W. Bauer Jr., Michael A. Temple:
Cyber-Physical Security with RF Fingerprint Classification through Distance Measure Extensions of Generalized Relevance Learning Vector Quantization. Secur. Commun. Networks 2020: 3909763:1-3909763:12 (2020) - [c12]Trevor J. Bihl, Robert J. Gutierrez, Kenneth W. Bauer Jr., Bradley C. Boehmke, Cade M. Saie:
Topological Data Analysis for Enhancing Embedded Analytics for Enterprise Cyber Log Analysis and Forensics. HICSS 2020: 1-10 - [c11]Trevor J. Bihl, Joe Schoenbeck, Daniel Steeneck, Jeremy Jordan:
Easy and Efficient Hyperparameter Optimization to Address Some Artificial Intelligence "ilities". HICSS 2020: 1-10 - [c10]Trevor J. Bihl, Michael Talbert:
Analytics for Autonomous C4ISR within e-Government: a Research Agenda. HICSS 2020: 1-10 - [c9]Michael Hampo, David Fan, Todd Jenkins, Ashley DeMange, Stefan Westberg, Trevor J. Bihl, Tarek M. Taha:
Associative Memory in Spiking Neural Network Form Implemented on Neuromorphic Hardware. ICONS 2020: 5:1-5:8
2010 – 2019
- 2019
- [c8]Trevor J. Bihl, Todd Jenkins, Chadwick Cox, Ashley DeMange, Kerry Hill, Edmund Zelnio:
From Lab to Internship and Back Again: Learning Autonomous Systems through Creating a Research and Development Ecosystem. AAAI 2019: 9635-9643 - [c7]Peter John-Baptiste, Graeme E. Smith, Aaron M. Jones, Trevor J. Bihl:
Rapid Waveform Design Through Machine Learning. CAMSAP 2019: 659-663 - [c6]Jayson Boubin, Aaron M. Jones, Trevor J. Bihl:
NeuroWav: Toward Real-Time Waveform Design for VANETs using Neural Networks. VNC 2019: 1-4 - 2018
- [c5]Trevor J. Bihl, Daniel Steeneck:
Multivariate Stochastic Approximation to Tune Neural Network Hyperparameters for Criticial Infrastructure Communication Device Identification. HICSS 2018: 1-10 - 2017
- [j5]Trevor J. Bihl, Kenneth W. Bauer Jr.:
Statistical Analysis of High-Level Features from State of the Union Addresses. Int. J. Inf. Syst. Soc. Chang. 8(2): 50-73 (2017) - [j4]Robert J. Gutierrez, Bradley C. Boehmke, Kenneth W. Bauer Jr., Cade M. Saie, Trevor J. Bihl:
anomalyDetection: Implementation of Augmented Network Log Anomaly Detection Procedures. R J. 9(2): 354 (2017) - [c4]Trevor J. Bihl, Michael A. Temple, Kenneth W. Bauer Jr.:
An Optimization Framework for Generalized Relevance Learning Vector Quantization with Application to Z-Wave Device Fingerprinting. HICSS 2017: 1-9 - 2016
- [j3]Trevor J. Bihl, Kenneth W. Bauer Jr., Michael A. Temple:
Feature Selection for RF Fingerprinting With Multiple Discriminant Analysis and Using ZigBee Device Emissions. IEEE Trans. Inf. Forensics Secur. 11(8): 1862-1874 (2016) - [c3]Teresa Hawkes, Trevor J. Bihl, Steven K. Rogers:
Poster: Qualia Exploitation of Sensing Technology (QuEST) for vehicular network optimization. VNC 2016: 1-2 - 2015
- [j2]James A. Jablonski, Trevor J. Bihl, Kenneth W. Bauer Jr.:
Principal Component Reconstruction Error for Hyperspectral Anomaly Detection. IEEE Geosci. Remote. Sens. Lett. 12(8): 1725-1729 (2015) - [c2]Timothy J. Carbino, Michael A. Temple, Trevor J. Bihl:
Ethernet card discrimination using unintentional cable emissions and constellation-based fingerprinting. ICNC 2015: 369-373 - [c1]Trevor J. Bihl, Kenneth W. Bauer Jr., Michael A. Temple, Benjamin W. P. Ramsey:
Dimensional reduction analysis for Physical Layer device fingerprints with application to ZigBee and Z-Wave devices. MILCOM 2015: 360-365 - 2012
- [j1]David M. Ryer, Trevor J. Bihl, Kenneth W. Bauer Jr., Steven K. Rogers:
QUEST Hierarchy for Hyperspectral Face Recognition. Adv. Artif. Intell. 2012: 203670:1-203670:13 (2012)
Coauthor Index
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