Trevor Bihl

29 papers B 1C 2Journal 11Unranked 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Mixed-Integer Convex Optimization-Based Approach for Hybrid UAV Path Planning in Noise-Restricted Zones.
IEEE Trans. Aerosp. Electron. Syst.
Saurabh Belgaonkar, Deepak Prakash Kumar, Sivakumar Rathinam, Swaroop Darbha, Trevor Bihl
2026 — conf
Addressing the Lack of Neuromorphic Data in Low SNR Scenarios.
HICSS
Ross Perry, Gaetano Di Caterina, Trevor Bihl, Kara Combs
2026 J jnl
Analogy2kg: An automatic pipeline for deriving knowledge graphs from long-text analogies.
Knowl. Based Syst.
Kara Combs, Lance E. Champagne, Bruce A. Cox, Christine M. Schubert-Kabban, Trevor Bihl, Grace Lemming
2026 — conf
Introduction to the Minitrack on Intelligent Edge Computing.
HICSS
Radmila Juric, Elisabetta Ronchieri, Trevor Bihl, Filippo Sanfilippo
2026 — conf
Reinforcement Learning for Adversarial Systems Using Relational Observations.
HICSS
Sophia Gilson, Xiaodong (Frank) Zhang, Trevor Bihl, Bruce A. Cox
2025 J jnl
Coulomb force-guided deep reinforcement learning for effective and explainable robotic motion planning.
Frontiers Robotics AI
Sirui Song, Trevor Bihl, Jundong Liu
2025 J jnl
Evaluating Compositional Scene Understanding in Multimodal Generative Models.
CoRR
Shuhao Fu, Andrew Jun Lee, Anna Wang, Ida Momennejad, Trevor Bihl, Hongjing Lu, Taylor W. Webb
2025 J jnl
Evaluating Compositional Scene Understanding in Multimodal Generative Models.
Trans. Mach. Learn. Res.
Shuhao Fu, Andrew Jun Lee, Anna Wang, Ida Momennejad, Trevor Bihl, Hongjing Lu, Taylor Whittington Webb
2025 B conf
Few-Shot Learning of Visual Compositional Concepts through Probabilistic Schema Induction.
CogSci
Andrew Jun Lee, Taylor W. Webb, Trevor Bihl, Keith J. Holyoak, Hongjing Lu
2025 J jnl
Few-Shot Learning of Visual Compositional Concepts through Probabilistic Schema Induction.
CoRR
Andrew Jun Lee, Taylor W. Webb, Trevor Bihl, Keith J. Holyoak, Hongjing Lu
2025 — conf
Generative Data for Neuromorphic Computing.
HICSS
Anthony Baietto, Trevor Bihl
2025 — conf
Introduction to the Minitrack on Intelligent Edge Computing.
HICSS
Radmila Juric, Elisabetta Ronchieri, Filippo Sanfilippo, Trevor Bihl
2025 C conf
Preliminary Insights Into Resource-Constrained Neuro-Symbolic Causal Complex Event Processing.
FUSION
Christian Bresciani, Luca Lavazza, Marco Cominelli, Liying Han, Gaofeng Dong, Francesco Gringoli, Lance M. Kaplan, Mani B. Srivastava, Trevor Bihl, Erik Philip Blasch, Felix J. Knutson, Federico Cerutti
2025 — conf
Reinforcement Learning for Adversarial Environments.
HICSS
Christian Carrizales, Xiaodong (Frank) Zhang, Trevor Bihl
2025 — conf
Toward Low-SWaP Cognitive Agents: Neuromorphic Intelligence and FPGA-Based Deployments of Event Neural Networks.
ICCVW
Trevor Bihl, Rajashree Majumder, Zhewei Wang, Avinash Karanth, Jundong Liu
2024 — conf
A Preliminary Look at Generative AI for the Creation of Abstract Verbal-to-visual Analogies.
HICSS
Kara Combs, Trevor Bihl
2024 — conf
Exploring Spiking Neural Networks (SNN) for Low Size, Weight, and Power (SWaP) Benefits.
HICSS
Trevor Bihl, Patrick Farr, Gaetano Di Caterina, Alex Vicente-Sola, Davide L. Manna, Paul Kirkland, Jundong Liu, Kara Combs
2024 — conf
Interoperability for Autonomy.
HICSS
Kara Combs, Trevor Bihl, James Pennington
2024 C conf
Neuro-Symbolic Fusion of Wi-Fi Sensing Data for Passive Radar with Inter-Modal Knowledge Transfer.
FUSION
Marco Cominelli, Francesco Gringoli, Lance M. Kaplan, Mani B. Srivastava, Trevor Bihl, Erik Philip Blasch, Nandini Iyer, Federico Cerutti
2024 J jnl
Neuro-Symbolic Fusion of Wi-Fi Sensing Data for Passive Radar with Inter-Modal Knowledge Transfer.
CoRR
Marco Cominelli, Francesco Gringoli, Lance M. Kaplan, Mani B. Srivastava, Trevor Bihl, Erik Philip Blasch, Nandini Iyer, Federico Cerutti
2024 J jnl
Question optimisation: Building quiz bowl tournament sets.
Int. J. Data Anal. Tech. Strateg.
Trevor Bihl, Kara Combs
2023 — conf
Clustering and Topological Data Analysis: Comparison and Application.
HICSS
Kara Combs, Trevor Bihl
2023 J jnl
Hybrid Spiking Neural Network Fine-tuning for Hippocampus Segmentation.
CoRR
Ye Yue, Marc Baltes, Nidal Abujahar, Tao Sun, Charles D. Smith, Trevor Bihl, Jundong Liu
2023 — conf
Hybrid Spiking Neural Networks Fine-Tuning for Hippocampus Segmentation.
ISBI
Ye Yue, Marc Baltes, Nidal Abujahar, Tao Sun, Charles D. Smith, Trevor Bihl, Jundong Liu
2023 — conf
Integration of Computer Vision with Analogical Reasoning for Characterizing Unknowns.
HICSS
Kara Combs, Trevor Bihl, Subhashini Ganapathy
2022 — conf
Analogical Reasoning: An Algorithm Comparison for Natural Language Processing.
HICSS
Kara Combs, Trevor Bihl, Subhashini Ganapathy, Drue Staples
2022 — conf
Bayesian Augmentation of Deep Learning to Improve Video Classification.
HICSS
Emmie Swize, Lance E. Champagne, Bruce A. Cox, Trevor Bihl
2022 J jnl
Keys to accurate feature extraction using residual spiking neural networks.
Neuromorph. Comput. Eng.
Alex Vicente-Sola, Davide L. Manna, Paul Kirkland, Gaetano Di Caterina, Trevor Bihl
2022 J jnl
Zero-shot visual reasoning through probabilistic analogical mapping.
CoRR
Taylor W. Webb, Shuhao Fu, Trevor Bihl, Keith J. Holyoak, Hongjing Lu