Case Adaption Using an Incomplete Causal Model. - John D. Hastings; Karl Branting; Jeffrey A. Lockwood (ICCBR, 1995)

CARMA: A Case-Based Range Management Advisor. - Karl Branting; John D. Hastings; Jeffrey A. Lockwood (IAAI, 2001)

CARMA: A Case-Based Rangeland Management Adviser. - John D. Hastings; Karl Branting; Jeffrey A. Lockwood (AI Mag., 2002)

On the Effectiveness of Automatic Case Elicitation in a More Complex Domain. - Siva N. Kommuri; Jay H. Powell; John D. Hastings (ICCBR Workshops, 2005)

Evaluating the Effectiveness of Exploration and Accumulated Experience in Automatic Case Elicitation. - Jay H. Powell; Brandon M. Hauff; John D. Hastings (ICCBR, 2005)

Good CARMA for the High Plains. - Alexandre V. Latchininsky; Scott P. Schell; John D. Hastings (AMCIS, 2007)

Sustainability of Grasshopper Management and Support through CARMA. - John D. Hastings; Alexandre V. Latchininsky; Scott P. Schell (HICSS, 2009)

CARMA: Assessing Usability through a Non-Biased Online Survey Technique. - John D. Hastings; Anatole Mirasano; Alexandre V. Latchininsky; Scott P. Schell (HICSS, 2010)

Early Assessment of an Approach to Determining the Predictive Coverage of Case-Based Reasoning with Adaptation through CARMA. - John D. Hastings; Alexandre V. Latchininsky; Tyler J. Adelung; Scott P. Schell (HICSS, 2014)

A cross-curricular approach to fostering innovation such as virtual reality development through student-led projects. - Sherri K. Harms; John D. Hastings (FIE, 2016)

A Classification Scheme for Gamification in Computer Science Education: Discovery of Foundational Gamification Genres in Data Structures Courses. - Adam Spanier; Sherri Weitl-Harms; John D. Hastings (FIE, 2021)

ZORQ: A Gamification Framework for Computer Science Education. - John D. Hastings; Sherri Weitl-Harms; Adam Spanier; Matthew Rokusek; Ryan Henszey (FIE, 2022)

Assessing User Experiences with ZORQ: A Gamification Framework for Computer Science Education. - Sherri Weitl-Harms; Adam Spanier; Matthew Rokusek; John D. Hastings (HICSS, 2023)

Utilizing Large Language Models to Synthesize Product Desirability Datasets. - John D. Hastings; Sherri Weitl-Harms; Joseph Doty; Zachary J. Myers; Warren Thompson (IEEE Big Data, 2024)

Toward Automated Knowledge Discovery in Case-Based Reasoning. - Sherri Weitl-Harms; John D. Hastings; Jay H. Powell (FLAIRS, 2024)

Toward an Insider Threat Education Platform: A Theoretical Literature Review. - Haywood Gelman; John D. Hastings; David Kenley; Eleanor T. Loiacono (ICCA, 2024)

Safeguarding Virtual Healthcare: A Novel Attacker-Centric Model for Data Security and Privacy. - Suvineetha Herath; Haywood Gelman; John D. Hastings; Yong Wang 045 (ICCA, 2024)

Using LLMs to Establish Implicit User Sentiment of Software Desirability. - Sherri Weitl-Harms; John D. Hastings; Jonah Lum (ICMLA, 2024)

The Trajectory of Romance Scams in the U.S. - LD Herrera; John D. Hastings (ISDFS, 2024)

Microsegmented Cloud Network Architecture Using Open-Source Tools for a Zero Trust Foundation. - Sunil Arora; John D. Hastings (SIN, 2024)

Confronting the Reproducibility Crisis: A Case Study in Validating Certified Robustness. - Richard H. Moulton; Gary A. McCully; John D. Hastings (CoRR, 2024)

Transforming Information Systems Management: A Reference Model for Digital Engineering Integration. - John Bonar; John D. Hastings (CoRR, 2024)

Bi-Directional Transformers vs. word2vec: Discovering Vulnerabilities in Lifted Compiled Code. - Gary A. McCully; John D. Hastings; Shengjie Xu; Adam Fortier (CoRR, 2024)

A Survey of Unikernel Security: Insights and Trends from a Quantitative Analysis. - Alex Wollman; John D. Hastings (CoRR, 2024)

SETC: A Vulnerability Telemetry Collection Framework. - Ryan Holeman; John D. Hastings; Varghese Mathew Vaidyan (CoRR, 2024)

Cyber Security Operations Educational Gamification Application Listing. - Sherri Weitl-Harms; Adam Spanier; John D. Hastings (CoRR, 2024)

Analyzing LLMs' Capabilities to Establish Implicit User Sentiment of Software Desirability. - Sherri Weitl-Harms; John D. Hastings; Jonah Lum (CoRR, 2024)

The Psychological Impacts of Algorithmic and AI-Driven Social Media on Teenagers: A Call to Action. - Sunil Arora; Sahil Arora; John D. Hastings (CoRR, 2024)

A Survey-Based Quantitative Analysis of Stress Factors and Their Impacts Among Cybersecurity Professionals. - Sunil Arora; John D. Hastings (CoRR, 2024)

Impact of Data Snooping on Deep Learning Models for Locating Vulnerabilities in Lifted Code. - Gary A. McCully; John D. Hastings; Shengjie Xu (CoRR, 2024)

CEKER: A Generalizable LLM Framework for Literature Analysis with a Case Study in Unikernel Security. - Alex Wollman; John D. Hastings (CoRR, 2024)

Assessing Evasion Attacks on Tree-Based Machine Learning Models: Supervised vs. Unsupervised Approaches. - Carson Koball; Yong Wang 045; Varghese Mathew Vaidyan; John D. Hastings (ICCE, 2025)

Advancing DevSecOps in SMEs: Challenges and Best Practices for Secure CI/CD Pipelines. - Jayaprakashreddy Cheenepalli; John D. Hastings; Khandaker Mamun Ahmed; Chad Fenner (ISDFS, 2025)

Scalable and Ethical Insider Threat Detection through Data Synthesis and Analysis by LLMs. - Haywood Gelman; John D. Hastings (ISDFS, 2025)

Comparing Unidirectional, Bidirectional, and Word2vec Models for Discovering Vulnerabilities in Compiled Lifted Code. - Gary A. McCully; John D. Hastings; Shengjie Xu; Adam Fortier (ISDFS, 2025)

TEDVIL: Leveraging Transformer-Based Embeddings for Vulnerability Detection in Lifted Code. - Gary A. McCully; John D. Hastings; Shengjie Xu (IEEE Access, 2025)

A Systematic Review and Taxonomy for Privacy Breach Classification: Trends, Gaps, and Future Directions. - Clint Fuchs; John D. Hastings (CoRR, 2025)

LibLMFuzz: LLM-Augmented Fuzz Target Generation for Black-box Libraries. - Ian Hardgrove; John D. Hastings (CoRR, 2025)