Kara Combs

According to our database, Kara Combs authored at least 17 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Preliminary Insights in Chronos Frequency Data Understanding and Reconstruction.

Alessandro Pagani, Marco Cominelli, Liying Han, Gaofeng Dong, Sergio Benini, Francesco Gringoli, Mattia Savardi, Mani B. Srivastava, Trevor Bihl, Erik Philip Blasch, Daniel O. Brigham, Kara Combs, Lance M. Kaplan, Federico Cerutti

CoRR, May, 2026

Towards Causally Interpretable Wi-Fi CSI-Based Human Activity Recognition with Discrete Latent Compression and LTL Rule Extraction.

Luca Cotti, Luca Lavazza, Marco Cominelli, Liying Han, Gaofeng Dong, Francesco Gringoli, Mani B. Srivastava, Trevor Bihl, Erik Philip Blasch, Daniel O. Brigham, Kara Combs, Lance M. Kaplan, Federico Cerutti

CoRR, April, 2026

Analogy2kg: An automatic pipeline for deriving knowledge graphs from long-text analogies.

Kara Combs, Lance E. Champagne, Bruce A. Cox, Christine M. Schubert-Kabban, Trevor Bihl, Grace Lemming

Knowl. Based Syst., 2026

Addressing the Lack of Neuromorphic Data in Low SNR Scenarios.

Ross Perry, Gaetano Di Caterina, Trevor Bihl, Kara Combs

Proceedings of the 59th Hawaii International Conference on System Sciences, 2026

2025

Evaluating the Tradeoff Between Analogical Reasoning Ability and Efficiency in Large Language Models.

Kara Combs, Isaiah Goble, Spencer V. Howlett, Yuki Adams, Trevor J. Bihl

IEEE Trans. Cogn. Dev. Syst., December, 2025

2024

Uncertainty in Visual Generative AI.

Kara Combs, Adam Moyer, Trevor J. Bihl

Algorithms, April, 2024

Utilization of generative AI for the characterization and identification of visual unknowns.

Kara Combs, Trevor J. Bihl, Subhashini Ganapathy

Nat. Lang. Process. J., 2024

Question optimisation: building quiz bowl tournament sets.

Kara Combs, Trevor J. Bihl

Int. J. Data Anal. Tech. Strateg., 2024

A Human-factors Approach for Evaluating AI-generated Images.

Kara Combs, Trevor J. Bihl, Arya Gadre, Isaiah Christopherson

Proceedings of the 2024 Computers and People Research Conference, 2024

Interoperability for Autonomy.

Kara Combs, Trevor Bihl, James Pennington

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.

Kara Combs, Trevor Bihl

Proceedings of the 57th Hawaii International Conference on System Sciences, 2024

Exploring Spiking Neural Networks (SNN) for Low Size, Weight, and Power (SWaP) Benefits.

Trevor Bihl, Patrick Farr, Gaetano Di Caterina, Alex Vicente-Sola, Davide L. Manna, Paul Kirkland, Jundong Liu, Kara Combs

Proceedings of the 57th Hawaii International Conference on System Sciences, 2024

2023

Transfer Learning and Analogical Inference: A Critical Comparison of Algorithms, Methods, and Applications.

Kara Combs, Hongjing Lu, Trevor J. Bihl

Algorithms, March, 2023

Integration of Computer Vision with Analogical Reasoning for Characterizing Unknowns.

Kara Combs, Trevor Bihl, Subhashini Ganapathy

Proceedings of the 56th Hawaii International Conference on System Sciences, 2023

Clustering and Topological Data Analysis: Comparison and Application.

Kara Combs, Trevor Bihl

Proceedings of the 56th Hawaii International Conference on System Sciences, 2023

2022

Pet analytics: Predicting adoption speed of pets from their online profiles.

Amir Hassan Zadeh, Kara Combs, Brandon Burkey, Jordan Dop, Kevin Duffy, Nasim Nosoudi

Expert Syst. Appl., 2022

Analogical Reasoning: An Algorithm Comparison for Natural Language Processing.

Kara Combs, Trevor Bihl, Subhashini Ganapathy, Drue Staples

Proceedings of the 55th Hawaii International Conference on System Sciences, 2022