A Technology for Detection of Advanced Persistent Threat in Networks and Systems Using a Finite Angular State Velocity Machine and Vector Mathematics. - Gregory Vert; Ann Leslie Claesson-Vert; Jesse Roberts; Erica Bott (Computer and Network Security Essentials, 2018)

Machine Learning Techniques for Annotations of Large Financial Text Datasets. - Jesse Roberts; Matthias Volk 002; Robert Neumann; Klaus Turowski (AMCIS, 2019)

Biologically Extending the Gen 2 ANN Model. - Jesse Roberts; Douglas A. Talbert (FLAIRS, 2019)

Extending the Philosophy of Computational Criticism. - Jesse Roberts; Douglas H. Fisher (ICCC, 2020)

pReview: The Artificially Intelligent Conference Reviewer. - Jesse Roberts; Douglas H. Fisher (ICMLA, 2020)

Finding an Equilibrium in the Traveler's Dilemma with Fuzzy Weak Domination. - Jesse Roberts (CoG, 2021)

On the Computational Power of Decoder-Only Transformer Language Models. - Jesse Roberts (CoRR, 2023)

Rock Climbing Route Generation and Grading as Computational Creativity. - Jesse Roberts (CoRR, 2023)

Using Artificial Populations to Study Psychological Phenomena in Neural Models. - Jesse Roberts; Kyle Moore; Drew Wilenzick; Douglas H. Fisher (AAAI, 2024)

Do Large Language Models Learn to Human-Like Learn? - Jesse Roberts (AAAI Spring Symposia, 2024)

The Base-Rate Effect on LLM Benchmark Performance: Disambiguating Test-Taking Strategies from Benchmark Performance. - Kyle Moore; Jesse Roberts; Thao Pham; Oseremhen Ewaleifoh; Douglas H. Fisher (EMNLP (Findings), 2024)

How Powerful are Decoder-Only Transformer Neural Models? - Jesse Roberts (IJCNN, 2024)

Do Large Language Models Learn Human-Like Strategic Preferences? - Jesse Roberts; Kyle Moore; Douglas H. Fisher (CoRR, 2024)

Large Language Model Recall Uncertainty is Modulated by the Fan Effect. - Jesse Roberts; Kyle Moore; Thao Pham; Oseremhen Ewaleifoh; Douglas H. Fisher (CoRR, 2024)

Supporting the Digital Autonomy of Elders Through LLM Assistance. - Jesse Roberts; Lindsey Roberts; Alice Reed (CoRR, 2024)

Reasoning Beyond Bias: A Study on Counterfactual Prompting and Chain of Thought Reasoning. - Kyle Moore; Jesse Roberts; Thao Pham; Douglas H. Fisher (CoRR, 2024)

Investigating Expert-in-the-Loop LLM Discourse Patterns for Ancient Intertextual Analysis. - Ray Umphrey; Jesse Roberts; Lindsey Roberts (CoRR, 2024)

Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection. - S. M. Mostaq Hossain; Amani Altarawneh; Jesse Roberts (CoRR, 2025)

RL + Transformer = A General-Purpose Problem Solver. - Micah Rentschler; Jesse Roberts (CoRR, 2025)

Investigating Human-Aligned Large Language Model Uncertainty. - Kyle Moore; Jesse Roberts; Daryl Watson; Pamela J. Wisniewski (CoRR, 2025)

Basic Category Usage in Vision Language Models. - Hunter Sawyer; Jesse Roberts; Kyle Moore (CoRR, 2025)