Trevor J. Bihl

39 papers A* 1C 1Misc 1Journal 19Unranked 17

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Dataset assembly for training Spiking Neural Networks. Neurocomputing Anthony Baietto, Christopher Stewart, Trevor J. Bihl
2025	—	`conf`	Developing a Framework for Biological Intelligence Modules in Autonomous Social Robots. UR Trevor J. Bihl, Grace Lemming
2025	J	`jnl`	Evaluating the Tradeoff Between Analogical Reasoning Ability and Efficiency in Large Language Models. IEEE Trans. Cogn. Dev. Syst. Kara Combs, Isaiah Goble, Spencer V. Howlett, Yuki Adams, Trevor J. Bihl
2025	J	`jnl`	From task-aware to task-agnostic parameter isolation for incremental learning. Neural Process. Lett. Alex Vicente-Sola, Paul Kirkland, Gaetano Di Caterina, Trevor J. Bihl, Marc Masana
2025	J	`jnl`	Spiking Neural Networks for event-based action recognition: A new task to understand their advantage. Neurocomputing Alex Vicente-Sola, Davide L. Manna, Paul Kirkland, Gaetano Di Caterina, Trevor J. Bihl
2024	—	`conf`	A Human-factors Approach for Evaluating AI-generated Images. SIGMIS-CPR Kara Combs, Trevor J. Bihl, Arya Gadre, Isaiah Christopherson
2024	J	`jnl`	Question optimisation: building quiz bowl tournament sets. Int. J. Data Anal. Tech. Strateg. Kara Combs, Trevor J. Bihl
2024	J	`jnl`	Uncertainty in Visual Generative AI. Algorithms Kara Combs, Adam Moyer, Trevor J. Bihl
2024	J	`jnl`	Utilization of generative AI for the characterization and identification of visual unknowns. Nat. Lang. Process. J. Kara Combs, Trevor J. Bihl, Subhashini Ganapathy
2023	—	`conf`	Autonomous Search and Rescue with Modeling and Simulation and Metrics. HICSS Trevor J. Bihl, Chadwick Cox, Yuki Adams, James Pennington
2023	—	`conf`	Dataset Augmentation for Robust Spiking Neural Networks. ACSOS-C Anthony Baietto, Christopher Stewart, Trevor J. Bihl
2023	C	`conf`	Frameworks for SNNs: A Review of Data Science-Oriented Software and an Expansion of SpykeTorch. EANN Davide L. Manna, Alex Vicente-Sola, Paul Kirkland, Trevor J. Bihl, Gaetano Di Caterina
2023	J	`jnl`	Transfer Learning and Analogical Inference: A Critical Comparison of Algorithms, Methods, and Applications. Algorithms Kara Combs, Hongjing Lu, Trevor J. Bihl
2022	—	`conf`	Assessing Multi-Agent Reinforcement Learning Algorithms for Autonomous Sensor Resource Management. HICSS Trevor J. Bihl, Aaron M. Jones, Patrick Farr, Kayla Straub, Brian Bontempo, Frank Jones
2022	J	`jnl`	Evaluating the temporal understanding of neural networks on event-based action recognition with DVS-Gesture-Chain. CoRR Alex Vicente-Sola, Davide L. Manna, Paul Kirkland, Gaetano Di Caterina, Trevor J. Bihl
2022	J	`jnl`	Lean Neural Networks for Autonomous Radar Waveform Design. Sensors Anthony Baietto, Jayson Boubin, Patrick Farr, Trevor J. Bihl, Aaron M. Jones, Christopher Stewart
2022	—	`conf`	Lean Neural Networks for Real-time Embedded Spectral Notching Waveform Design. ISIE Anthony Baietto, Jayson Boubin, Patrick Farr, Trevor J. Bihl
2022	J	`jnl`	Simple and complex spiking neurons: perspectives and analysis in a simple STDP scenario. CoRR Davide Liberato Manna, Alex Vicente-Sola, Paul Kirkland, Trevor J. Bihl, Gaetano Di Caterina
2022	J	`jnl`	Simple and complex spiking neurons: perspectives and analysis in a simple STDP scenario. Neuromorph. Comput. Eng. Davide L. Manna, Alex Vicente-Sola, Paul Kirkland, Trevor J. Bihl, Gaetano Di Caterina
2021	J	`jnl`	Keys to Accurate Feature Extraction Using Residual Spiking Neural Networks. CoRR Alex Vicente-Sola, Davide L. Manna, Paul Kirkland, Gaetano Di Caterina, Trevor J. Bihl
2021	—	`conf`	Tuning Hyperparameters for DNA-based Discrimination of Wireless Devices. HICSS Trevor J. Bihl, Joseph Schoenbeck, Christopher M. Rondeau, Aaron M. Jones, Yuki Adams
2020	—	`conf`	Analytics for Autonomous C4ISR within e-Government: a Research Agenda. HICSS Trevor J. Bihl, Michael Talbert
2020	—	`conf`	Associative Memory in Spiking Neural Network Form Implemented on Neuromorphic Hardware. ICONS Michael Hampo, David Fan, Todd Jenkins, Ashley DeMange, Stefan Westberg, Trevor J. Bihl, Tarek M. Taha
2020	J	`jnl`	Cyber-Physical Security with RF Fingerprint Classification through Distance Measure Extensions of Generalized Relevance Learning Vector Quantization. Secur. Commun. Networks Trevor J. Bihl, Todd J. Paciencia, Kenneth W. Bauer Jr., Michael A. Temple
2020	—	`conf`	Easy and Efficient Hyperparameter Optimization to Address Some Artificial Intelligence "ilities". HICSS Trevor J. Bihl, Joe Schoenbeck, Daniel Steeneck, Jeremy Jordan
2020	—	`conf`	Topological Data Analysis for Enhancing Embedded Analytics for Enterprise Cyber Log Analysis and Forensics. HICSS Trevor J. Bihl, Robert J. Gutierrez, Kenneth W. Bauer Jr., Bradley C. Boehmke, Cade M. Saie
2019	A*	`conf`	From Lab to Internship and Back Again: Learning Autonomous Systems through Creating a Research and Development Ecosystem. AAAI Trevor J. Bihl, Todd Jenkins, Chadwick Cox, Ashley DeMange, Kerry Hill, Edmund Zelnio
2019	—	`conf`	NeuroWav: Toward Real-Time Waveform Design for VANETs using Neural Networks. VNC Jayson Boubin, Aaron M. Jones, Trevor J. Bihl
2019	—	`conf`	Rapid Waveform Design Through Machine Learning. CAMSAP Peter John-Baptiste, Graeme E. Smith, Aaron M. Jones, Trevor J. Bihl
2018	—	`conf`	Multivariate Stochastic Approximation to Tune Neural Network Hyperparameters for Criticial Infrastructure Communication Device Identification. HICSS Trevor J. Bihl, Daniel Steeneck
2017	—	`conf`	An Optimization Framework for Generalized Relevance Learning Vector Quantization with Application to Z-Wave Device Fingerprinting. HICSS Trevor J. Bihl, Michael A. Temple, Kenneth W. Bauer Jr.
2017	J	`jnl`	Statistical Analysis of High-Level Features from State of the Union Addresses. Int. J. Inf. Syst. Soc. Chang. Trevor J. Bihl, Kenneth W. Bauer Jr.
2017	J	`jnl`	anomalyDetection: Implementation of Augmented Network Log Anomaly Detection Procedures. R J. Robert J. Gutierrez, Bradley C. Boehmke, Kenneth W. Bauer Jr., Cade M. Saie, Trevor J. Bihl
2016	J	`jnl`	Feature Selection for RF Fingerprinting With Multiple Discriminant Analysis and Using ZigBee Device Emissions. IEEE Trans. Inf. Forensics Secur. Trevor J. Bihl, Kenneth W. Bauer Jr., Michael A. Temple
2016	—	`conf`	Poster: Qualia Exploitation of Sensing Technology (QuEST) for vehicular network optimization. VNC Teresa Hawkes, Trevor J. Bihl, Steven K. Rogers
2015	—	`conf`	Dimensional reduction analysis for Physical Layer device fingerprints with application to ZigBee and Z-Wave devices. MILCOM Trevor J. Bihl, Kenneth W. Bauer Jr., Michael A. Temple, Benjamin W. P. Ramsey
2015	Misc	`conf`	Ethernet card discrimination using unintentional cable emissions and constellation-based fingerprinting. ICNC Timothy J. Carbino, Michael A. Temple, Trevor J. Bihl
2015	J	`jnl`	Principal Component Reconstruction Error for Hyperspectral Anomaly Detection. IEEE Geosci. Remote. Sens. Lett. James A. Jablonski, Trevor J. Bihl, Kenneth W. Bauer Jr.
2012	J	`jnl`	QUEST Hierarchy for Hyperspectral Face Recognition. Adv. Artif. Intell. David M. Ryer, Trevor J. Bihl, Kenneth W. Bauer Jr., Steven K. Rogers