An Exploration of Explainable Machine Learning Using Semantic Web Technology. - Tyler Procko; Timothy Elvira; Omar Ochoa; Nicholas Del Rio (ICSC, 2022)

Scrum in the Classroom: An Implementation Guide. - Sarah A. Reynolds; Alexis Caldwell; Tyler Procko; Omar Ochoa (FIE, 2023)

Validating Security Requirement Specifications through the use of a Knowledge Graph. - Lynn Vonder Haar; Sarah A. Reynolds; Tyler Procko; Omar Ochoa (ICSC, 2023)

GPT-4: A Stochastic Parrot or Ontological Craftsman? Discovering Implicit Knowledge Structures in Large Language Models. - Tyler Thomas Procko; Timothy Elvira; Omar Ochoa (TransAI, 2023)

Automatic Generation of BFO-Compliant Aristotelian Definitions in OWL Ontologies with GPT. - Tyler Thomas Procko; Omar Ochoa; Timothy Elvira (TransAI, 2023)

Exploring Testing Methods for Large Language Models. - Timothy Elvira; Tyler Thomas Procko; Lynn Vonderhaar; Omar Ochoa (ICMLA, 2024)

Towards Robust Training Datasets for Machine Learning with Ontologies: A Case Study for Emergency Road Vehicle Detection. - Lynn Vonderhaar; Timothy Elvira; Tyler Procko; Omar Ochoa (CoRR, 2024)

Dawn of the dialogue: AI's leap from lab to living room. - Tyler Procko; Timothy Elvira; Omar Ochoa (Frontiers Artif. Intell., 2024)

Role, Needs, and State of Cognitive Assistants in Single-Pilot Operations. - Alexandra Davidoff; Lynn Vonderhaar; Alexis Caldwell; Tyler Procko; Omar Ochoa (J. Aerosp. Inf. Syst., 2024)

Leveraging Linked Data for Knowledge Management: A Proposal for the Aerospace Industry. - Tyler Thomas Procko; Omar Ochoa (J. Aerosp. Inf. Syst., 2024)

Creating Robust Data Sets for AI by Leveraging Ontological Structures. - Lynn Vonderhaar; Timothy Elvira; Tyler Thomas Procko; Omar Ochoa (ICSC, 2025)