Maria Seale

According to our database, Maria Seale authored at least 22 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Dataset, March, 2024

AAD-LLM: Adaptive Anomaly Detection Using Large Language Models.

Alicia Russell-Gilbert, Alexander Sommers, Andrew Thompson, Logan Cummins, Sudip Mittal, Shahram Rahimi, Maria Seale, Joseph Jabour, Thomas Arnold, Joshua Church

CoRR, 2024

Explainable Anomaly Detection: Counterfactual driven What-If Analysis.

Logan Cummins, Alexander Sommers, Sudip Mittal, Shahram Rahimi, Maria Seale, Joseph Jabour, Thomas Arnold

CoRR, 2024

A Survey of Transformer Enabled Time Series Synthesis.

Alexander Sommers, Logan Cummins, Sudip Mittal, Shahram Rahimi, Maria Seale, Joseph Jabour, Thomas Arnold

CoRR, 2024

Generating Synthetic Time Series Data for Cyber-Physical Systems.

Alexander Sommers, Somayeh Bakhtiari Ramezani, Logan Cummins, Sudip Mittal, Shahram Rahimi, Maria Seale, Joseph Jabour

CoRR, 2024

Eclectic Rule Extraction for Explainability of Deep Neural Network based Intrusion Detection Systems.

Jesse Ables, Nathaniel Childers, William Anderson, Sudip Mittal, Shahram Rahimi, Ioana Banicescu, Maria Seale

CoRR, 2024

Explainable Predictive Maintenance: A Survey of Current Methods, Challenges and Opportunities.

Logan Cummins, Alexander Sommers, Somayeh Bakhtiari Ramezani, Sudip Mittal, Joseph Jabour, Maria Seale, Shahram Rahimi

IEEE Access, 2024

2023

Explainable Intrusion Detection Systems Using Competitive Learning Techniques.

Jesse Ables, Thomas Kirby, Sudip Mittal, Ioana Banicescu, Shahram Rahimi, William Anderson, Maria Seale

CoRR, 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, Maria Seale, Linkan Bian

IEEE Access, 2023

Adverse Outcome Pathways for Engineered Systems.

R. Cody Salter, Natàlia Garcia-Reyero, Alicia Ruvinsky, Maria Seale, Edward J. Perkins

Proceedings of the IEEE International Systems Conference, 2023

A Comparative Study of Continual, Lifelong, and Online Supervised Learning Libraries.

Logan Cummins, Brad Killen, Somayeh Bakhtiari Ramezani, Shahram Rahimi, Maria Seale, Sudip Mittal

Proceedings of the Thirty-Sixth International Florida Artificial Intelligence Research Society Conference, 2023

2022

Designing an Artificial Immune System inspired Intrusion Detection System.

William Anderson, Kaneesha Moore, Jesse Ables, Sudip Mittal, Shahram Rahimi, Ioana Banicescu, Maria Seale

CoRR, 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, Ioana Banicescu, Maria Seale

IEEE Access, 2022

Creating an Explainable Intrusion Detection System Using Self Organizing Maps.

Jesse Ables, Thomas Kirby, William Anderson, Sudip Mittal, Shahram Rahimi, Ioana Banicescu, Maria Seale

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

A Fuzzy Epigenetic Model for Representing Degradation in Engineered Systems.

Maria Seale, R. Cody Salter, Natàlia Garcia-Reyero, Alicia Ruvinsky

Proceedings of the Intelligent Computing, 2022

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 Survey of HMM-based Algorithms in Machinery Fault Prediction.

Somayeh Bakhtiari Ramezani, Brad Killen, Logan Cummins, Shahram Rahimi, Amin Amirlatifi, Maria Seale

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Deep Learning Approaches to Remaining Useful Life Prediction: A Survey.

Logan Cummins, Brad Killen, Thomas Kirby, Paul Barrett, Shahram Rahimi, Maria Seale

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Leveraging Big Data to Discover High Yield Prognostics Applications.

Cody Coleman, Yi Zhang, Maria Seale

Proceedings of the International IEEE Conference on Prognostics and Health Management, 2021

Similarity Based Methods for Faulty Pattern Detection in Predictive Maintenance.

Somayeh Bakhtiari Ramezani, Logan Cummins, Brad Killen, Richard Carley, Shahram Rahimi, Maria Seale

Proceedings of the International Conference on Computational Science and Computational Intelligence, 2021

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

Proceedings of the IEEE Conference on Cognitive and Computational Aspects of Situation Management, 2021

2019

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

Proceedings of the Information Quality in Information Fusion and Decision Making, 2019