Trevor J. Bihl
Orcid: 0000-0003-2431-2749Affiliations:
- Wright-Patterson Air Force Base, Air Force Research Laboratory, OH, USA
According to our database1,
Trevor J. Bihl
authored at least 45 papers
between 2012 and 2025.
Collaborative distances:
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Bibliography
2025
Spiking Neural Networks for event-based action recognition: A new task to understand their advantage.
Neurocomputing, 2025
2024
Time Series Forecasting via Derivative Spike Encoding and Bespoke Loss Functions for Spiking Neural Networks.
Comput., August, 2024
Utilization of generative AI for the characterization and identification of visual unknowns.
Nat. Lang. Process. J., 2024
Proceedings of the 2024 Computers and People Research Conference, 2024
Proceedings of the 57th Hawaii International Conference on System Sciences, 2024
A Preliminary Look at Generative AI for the Creation of Abstract Verbal-to-visual Analogies.
Proceedings of the 57th Hawaii International Conference on System Sciences, 2024
Exploring Spiking Neural Networks (SNN) for Low Size, Weight, and Power (SWaP) Benefits.
Proceedings of the 57th Hawaii International Conference on System Sciences, 2024
Neuro-Symbolic Fusion of Wi-Fi Sensing Data for Passive Radar with Inter-Modal Knowledge Transfer.
Proceedings of the 27th International Conference on Information Fusion, 2024
2023
Transfer Learning and Analogical Inference: A Critical Comparison of Algorithms, Methods, and Applications.
Algorithms, March, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Integration of Computer Vision with Analogical Reasoning for Characterizing Unknowns.
Proceedings of the 56th Hawaii International Conference on System Sciences, 2023
Proceedings of the 56th Hawaii International Conference on System Sciences, 2023
Proceedings of the 56th Hawaii International Conference on System Sciences, 2023
Frameworks for SNNs: A Review of Data Science-Oriented Software and an Expansion of SpykeTorch.
Proceedings of the Engineering Applications of Neural Networks, 2023
Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2023
2022
Neuromorph. Comput. Eng., December, 2022
Simple and complex spiking neurons: perspectives and analysis in a simple STDP scenario.
Neuromorph. Comput. Eng., December, 2022
Evaluating the temporal understanding of neural networks on event-based action recognition with DVS-Gesture-Chain.
CoRR, 2022
Proceedings of the 31st IEEE International Symposium on Industrial Electronics, 2022
Proceedings of the 55th Hawaii International Conference on System Sciences, 2022
Proceedings of the 55th Hawaii International Conference on System Sciences, 2022
Assessing Multi-Agent Reinforcement Learning Algorithms for Autonomous Sensor Resource Management.
Proceedings of the 55th Hawaii International Conference on System Sciences, 2022
2021
Proceedings of the 54th Hawaii International Conference on System Sciences, 2021
2020
Cyber-Physical Security with RF Fingerprint Classification through Distance Measure Extensions of Generalized Relevance Learning Vector Quantization.
Secur. Commun. Networks, 2020
Associative Memory in Spiking Neural Network Form Implemented on Neuromorphic Hardware.
Proceedings of the International Conference on Neuromorphic Systems, 2020
Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020
Easy and Efficient Hyperparameter Optimization to Address Some Artificial Intelligence "ilities".
Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020
Topological Data Analysis for Enhancing Embedded Analytics for Enterprise Cyber Log Analysis and Forensics.
Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020
2019
Proceedings of the 2019 IEEE Vehicular Networking Conference, 2019
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019
From Lab to Internship and Back Again: Learning Autonomous Systems through Creating a Research and Development Ecosystem.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Multivariate Stochastic Approximation to Tune Neural Network Hyperparameters for Criticial Infrastructure Communication Device Identification.
Proceedings of the 51st Hawaii International Conference on System Sciences, 2018
2017
anomalyDetection: Implementation of Augmented Network Log Anomaly Detection Procedures.
R J., 2017
Int. J. Inf. Syst. Soc. Chang., 2017
An Optimization Framework for Generalized Relevance Learning Vector Quantization with Application to Z-Wave Device Fingerprinting.
Proceedings of the 50th Hawaii International Conference on System Sciences, 2017
2016
Feature Selection for RF Fingerprinting With Multiple Discriminant Analysis and Using ZigBee Device Emissions.
IEEE Trans. Inf. Forensics Secur., 2016
Poster: Qualia Exploitation of Sensing Technology (QuEST) for vehicular network optimization.
Proceedings of the 2016 IEEE Vehicular Networking Conference, 2016
2015
IEEE Geosci. Remote. Sens. Lett., 2015
Dimensional reduction analysis for Physical Layer device fingerprints with application to ZigBee and Z-Wave devices.
Proceedings of the 34th IEEE Military Communications Conference, 2015
Ethernet card discrimination using unintentional cable emissions and constellation-based fingerprinting.
Proceedings of the International Conference on Computing, Networking and Communications, 2015
2012