Trevor Bihl

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 19

Top Topics

Top Venues

Publications

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 (2024)
Kara Combs, Trevor Bihl
A Preliminary Look at Generative AI for the Creation of Abstract Verbal-to-visual Analogies. HICSS (2024)
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)
Kara Combs, Trevor Bihl, James Pennington
Interoperability for Autonomy. HICSS (2024)
Kara Combs, Trevor Bihl
Clustering and Topological Data Analysis: Comparison and Application. HICSS (2023)
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)
Kara Combs, Trevor Bihl, Subhashini Ganapathy
Integration of Computer Vision with Analogical Reasoning for Characterizing Unknowns. HICSS (2023)
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 (2023)
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) (2022)
Taylor W. Webb, Shuhao Fu, Trevor Bihl, Keith J. Holyoak, Hongjing Lu
Zero-shot visual reasoning through probabilistic analogical mapping. CoRR (2022)
Emmie Swize, Lance Champagne, Bruce Cox, Trevor Bihl
Bayesian Augmentation of Deep Learning to Improve Video Classification. HICSS (2022)
Kara Combs, Trevor Bihl, Subhashini Ganapathy, Drue Staples
Analogical Reasoning: An Algorithm Comparison for Natural Language Processing. HICSS (2022)
Trevor Bihl, Joseph Schoenbeck, Christopher Rondeau, Aaron M. Jones, Yuki Adams
Tuning Hyperparameters for DNA-based Discrimination of Wireless Devices. HICSS (2021)
Alex Vicente-Sola, Davide L. Manna, Paul Kirkland, Gaetano Di Caterina, Trevor Bihl
Keys to Accurate Feature Extraction Using Residual Spiking Neural Networks. CoRR (2021)
Michael Hampo, David Fan, Todd Jenkins, Ashley DeMange, Stefan Westberg, Trevor Bihl, Tarek M. Taha
Associative Memory in Spiking Neural Network Form Implemented on Neuromorphic Hardware. ICONS (2020)
Trevor Bihl, Michael Talbert
Analytics for Autonomous C4ISR within e-Government: a Research Agenda. HICSS (2020)
Jayson Boubin, Aaron M. Jones, Trevor Bihl
NeuroWav: Toward Real-Time Waveform Design for VANETs using Neural Networks. VNC (2019)
Trevor 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)
Peter John-Baptiste, Graeme E. Smith, Aaron M. Jones, Trevor Bihl
Rapid Waveform Design Through Machine Learning. CAMSAP (2019)