An Epistemological Model for a Data Analysis Process in Support of Verification and Validation. - Alicia Ruvinsky; LaKenya Walker; Warith Abdullah; Maria Seale; William G. Bond; Leslie Leonard; Janet Wedgwood; Michael Krein; Timothy Siedlecki (Information Quality in Information Fusion and Decision Making, 2019)

An Approach to Gamifying Acquisitions for Assessing Impact on Military Strategy of Nation States. - Alicia Ruvinsky; Megan E. Gonzalez; James Richards; Cody Salter; Joshua Church; C. P. T. Deems McKee; Maria Seale (CogSIMA, 2021)

Similarity Based Methods for Faulty Pattern Detection in Predictive Maintenance. - Somayeh Bakhtiari Ramezani; Logan Cummins; Brad Killen; Richard Carley; Shahram Rahimi 001; Maria Seale (CSCI, 2021)

Leveraging Big Data to Discover High Yield Prognostics Applications. - Cody Coleman; Yi Zhang; Maria Seale (ICPHM, 2021)

Deep Learning Approaches to Remaining Useful Life Prediction: A Survey. - Logan Cummins; Brad Killen; Thomas Kirby; Paul Barrett; Shahram Rahimi 001; Maria Seale (SSCI, 2021)

A Survey of HMM-based Algorithms in Machinery Fault Prediction. - Somayeh Bakhtiari Ramezani; Brad Killen; Logan Cummins; Shahram Rahimi 001; Amin Amirlatifi; Maria Seale (SSCI, 2021)

Evaluation of machine learning algorithms to predict the hydrodynamic radii and transition temperatures of chemo-biologically synthesized copolymers. - Jared S. Cobb; Maria A. Seale; Amol V. Janorkar (Comput. Biol. Medicine, 2021)

A Fuzzy Epigenetic Model for Representing Degradation in Engineered Systems. - Maria Seale; R. Cody Salter; Natàlia Garcia-Reyero; Alicia Ruvinsky (SAI (2), 2022)

Creating an Explainable Intrusion Detection System Using Self Organizing Maps. - Jesse Ables; Thomas Kirby; William Anderson; Sudip Mittal; Shahram Rahimi 001; Ioana Banicescu; Maria Seale (SSCI, 2022)

Explainable Intrusion Detection Systems (X-IDS): A Survey of Current Methods, Challenges, and Opportunities. - Subash Neupane; Jesse Ables; William Anderson; Sudip Mittal; Shahram Rahimi 001; Ioana Banicescu; Maria Seale (IEEE Access, 2022)

Designing an Artificial Immune System inspired Intrusion Detection System. - William Anderson; Kaneesha Moore; Jesse Ables; Sudip Mittal; Shahram Rahimi 001; Ioana Banicescu; Maria Seale (CoRR, 2022)

A Comparative Study of Continual, Lifelong, and Online Supervised Learning Libraries. - Logan Cummins; Brad Killen; Somayeh Bakhtiari Ramezani; Shahram Rahimi 001; Maria Seale; Sudip Mittal (FLAIRS, 2023)

Adverse Outcome Pathways for Engineered Systems. - R. Cody Salter; Natàlia Garcia-Reyero; Alicia Ruvinsky; Maria Seale; Edward J. Perkins (SysCon, 2023)

Scalability, Explainability and Performance of Data-Driven Algorithms in Predicting the Remaining Useful Life: A Comprehensive Review. - Somayeh Bakhtiari Ramezani; Logan Cummins; Brad Killen; Richard Carley; Amin Amirlatifi; Shahram Rahimi 001; Maria Seale; Linkan Bian (IEEE Access, 2023)

Explainable Intrusion Detection Systems Using Competitive Learning Techniques. - Jesse Ables; Thomas Kirby; Sudip Mittal; Ioana Banicescu; Shahram Rahimi 001; William Anderson; Maria Seale (CoRR, 2023)

Multivariate Data Augmentation for Predictive Maintenance using Diffusion. - Andrew Thompson 017; Alexander Sommers; Alicia Russell-Gilbert; Logan Cummins; Sudip Mittal; Shahram Rahimi 001; Maria Seale; Joseph Jabour 001; Thomas Arnold; Joshua Church (IEEE Big Data, 2024)

AAD-LLM: Adaptive Anomaly Detection Using Large Language Models. - Alicia Russell-Gilbert; Alexander Sommers; Andrew Thompson 017; Logan Cummins; Sudip Mittal; Shahram Rahimi 001; Maria Seale; Joseph Jabour 001; Thomas Arnold; Joshua Church (IEEE Big Data, 2024)

Explainable Anomaly Detection: Counterfactual driven What-If Analysis. - Logan Cummins; Alexander Sommers; Sudip Mittal; Shahram Rahimi 001; Maria Seale; Joseph Jabour 001; Thomas Arnold (CogMI, 2024)

Enhancing Explainability and Trustworthiness of Intrusion Detection Systems Using Competitive Learning. - Jesse Ables; Thomas Kirby; William Anderson; Sudip Mittal; Shahram Rahimi 001; Ioana Banicescu; Maria Seale; Thomas Arnold; Joseph Jabour 001 (CIC, 2024)

A Survey of Transformer Enabled Time Series Synthesis. - Alexander Sommers; Logan Cummins; Sudip Mittal; Shahram Rahimi 001; Maria Seale; Joseph Jabour 001; Thomas Arnold (CIC, 2024)

Generating Synthetic Time Series Data for Cyber-Physical Systems. - Alexander Sommers; Somayeh Bakhtiari Ramezani; Logan Cummins; Sudip Mittal; Shahram Rahimi 001; Maria Seale; Joseph Jabour 001 (WF-IoT, 2024)

Explainable Predictive Maintenance: A Survey of Current Methods, Challenges and Opportunities. - Logan Cummins; Alexander Sommers; Somayeh Bakhtiari Ramezani; Sudip Mittal; Joseph Jabour 001; Maria Seale; Shahram Rahimi 001 (IEEE Access, 2024)

Eclectic Rule Extraction for Explainability of Deep Neural Network based Intrusion Detection Systems. - Jesse Ables; Nathaniel Childers; William Anderson; Sudip Mittal; Shahram Rahimi 001; Ioana Banicescu; Maria Seale (CoRR, 2024)

Air Filter Loading Characteristics for an Epigenetic Modeling Approach to Adaptive Prognostics. - Maria A. Seale; Gentry Berry; Richard C. Salter; Alicia I. Ruvinsky; Edward J. Perkins; Natàlia Garcia-Reyero (IEEE DataPort, 2024)

RAAD-LLM: Adaptive Anomaly Detection Using LLMs and RAG Integration. - Alicia Russell-Gilbert; Sudip Mittal; Shahram Rahimi 001; Maria Seale; Joseph Jabour 001; Thomas Arnold; Joshua Church (CoRR, 2025)