Analogical Reasoning: An Algorithm Comparison for Natural Language Processing. - Kara Combs; Trevor Bihl; Subhashini Ganapathy; Drue Staples (HICSS, 2022)

Pet analytics: Predicting adoption speed of pets from their online profiles. - Amir Hassan Zadeh 002; Kara Combs; Brandon Burkey; Jordan Dop; Kevin Duffy; Nasim Nosoudi (Expert Syst. Appl., 2022)

Clustering and Topological Data Analysis: Comparison and Application. - Kara Combs; Trevor Bihl (HICSS, 2023)

Integration of Computer Vision with Analogical Reasoning for Characterizing Unknowns. - Kara Combs; Trevor Bihl; Subhashini Ganapathy (HICSS, 2023)

Transfer Learning and Analogical Inference: A Critical Comparison of Algorithms, Methods, and Applications. - Kara Combs; Hongjing Lu; Trevor J. Bihl (Algorithms, 2023)

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 (HICSS, 2024)

A Preliminary Look at Generative AI for the Creation of Abstract Verbal-to-visual Analogies. - Kara Combs; Trevor Bihl (HICSS, 2024)

Interoperability for Autonomy. - Kara Combs; Trevor Bihl; James Pennington (HICSS, 2024)

A Human-factors Approach for Evaluating AI-generated Images. - Kara Combs; Trevor J. Bihl; Arya Gadre; Isaiah Christopherson (SIGMIS-CPR, 2024)

Question optimisation: building quiz bowl tournament sets. - Kara Combs; Trevor J. Bihl (Int. J. Data Anal. Tech. Strateg., 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)

Uncertainty in Visual Generative AI. - Kara Combs; Adam Moyer; Trevor J. Bihl (Algorithms, 2024)