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2020 – today
- 2024
[j4]Logan Cummins
, Alexander Sommers, Somayeh Bakhtiari Ramezani, Sudip Mittal, Joseph Jabour, Maria Seale, Shahram Rahimi:
Explainable Predictive Maintenance: A Survey of Current Methods, Challenges and Opportunities. IEEE Access 12: 57574-57602 (2024)- [d1]Maria A. Seale, Gentry Berry, Richard C. Salter, Alicia I. Ruvinsky, Edward J. Perkins, Natàlia Garcia-Reyero:
Air Filter Loading Characteristics for an Epigenetic Modeling Approach to Adaptive Prognostics. IEEE DataPort, 2024
- [i9]Logan Cummins, Alexander Sommers, Somayeh Bakhtiari Ramezani, Sudip Mittal, Joseph Jabour, Maria Seale, Shahram Rahimi:
Explainable Predictive Maintenance: A Survey of Current Methods, Challenges and Opportunities. CoRR abs/2401.07871 (2024) - [i8]Jesse Ables, Nathaniel Childers, William Anderson, Sudip Mittal, Shahram Rahimi, Ioana Banicescu, Maria Seale:
Eclectic Rule Extraction for Explainability of Deep Neural Network based Intrusion Detection Systems. CoRR abs/2401.10207 (2024) - [i7]Alexander Sommers, Somayeh Bakhtiari Ramezani, Logan Cummins, Sudip Mittal, Shahram Rahimi, Maria Seale, Joseph Jabour:
Generating Synthetic Time Series Data for Cyber-Physical Systems. CoRR abs/2404.08601 (2024) - [i6]Alexander Sommers, Logan Cummins, Sudip Mittal, Shahram Rahimi, Maria Seale, Joseph Jabour, Thomas Arnold:
A Survey of Transformer Enabled Time Series Synthesis. CoRR abs/2406.02322 (2024) - [i5]Logan Cummins, Alexander Sommers, Sudip Mittal, Shahram Rahimi, Maria Seale, Joseph Jabour, Thomas Arnold:
Explainable Anomaly Detection: Counterfactual driven What-If Analysis. CoRR abs/2408.11935 (2024) - 2023
- [j3]Somayeh Bakhtiari Ramezani, Logan Cummins, Brad Killen, Richard Carley, Amin Amirlatifi, Shahram Rahimi, Maria Seale, Linkan Bian:
Scalability, Explainability and Performance of Data-Driven Algorithms in Predicting the Remaining Useful Life: A Comprehensive Review. IEEE Access 11: 41741-41769 (2023) - [c9]Logan Cummins, Brad Killen, Somayeh Bakhtiari Ramezani, Shahram Rahimi, Maria Seale, Sudip Mittal:
A Comparative Study of Continual, Lifelong, and Online Supervised Learning Libraries. FLAIRS 2023 - [c8]R. Cody Salter, Natàlia Garcia-Reyero, Alicia Ruvinsky, Maria Seale, Edward J. Perkins:
Adverse Outcome Pathways for Engineered Systems. SysCon 2023: 1-8 - [i4]Jesse Ables, Thomas Kirby, Sudip Mittal, Ioana Banicescu, Shahram Rahimi, William Anderson, Maria Seale:
Explainable Intrusion Detection Systems Using Competitive Learning Techniques. CoRR abs/2303.17387 (2023) - 2022
- [j2]Subash Neupane, Jesse Ables, William Anderson, Sudip Mittal, Shahram Rahimi, Ioana Banicescu, Maria Seale:
Explainable Intrusion Detection Systems (X-IDS): A Survey of Current Methods, Challenges, and Opportunities. IEEE Access 10: 112392-112415 (2022) - [c7]Maria Seale, R. Cody Salter, Natàlia Garcia-Reyero, Alicia Ruvinsky:
A Fuzzy Epigenetic Model for Representing Degradation in Engineered Systems. SAI (2) 2022: 420-435 - [c6]Jesse Ables, Thomas Kirby, William Anderson, Sudip Mittal, Shahram Rahimi, Ioana Banicescu, Maria Seale:
Creating an Explainable Intrusion Detection System Using Self Organizing Maps. SSCI 2022: 404-412 - [i3]Subash Neupane, Jesse Ables, William Anderson, Sudip Mittal, Shahram Rahimi, Ioana Banicescu, Maria Seale:
Explainable Intrusion Detection Systems (X-IDS): A Survey of Current Methods, Challenges, and Opportunities. CoRR abs/2207.06236 (2022) - [i2]Jesse Ables, Thomas Kirby, William Anderson, Sudip Mittal, Shahram Rahimi, Ioana Banicescu, Maria Seale:
Creating an Explainable Intrusion Detection System Using Self Organizing Maps. CoRR abs/2207.07465 (2022) - [i1]William Anderson, Kaneesha Moore, Jesse Ables, Sudip Mittal, Shahram Rahimi, Ioana Banicescu, Maria Seale:
Designing an Artificial Immune System inspired Intrusion Detection System. CoRR abs/2208.07801 (2022) - 2021
- [j1]Jared S. Cobb, Maria A. Seale, Amol V. Janorkar:
Evaluation of machine learning algorithms to predict the hydrodynamic radii and transition temperatures of chemo-biologically synthesized copolymers. Comput. Biol. Medicine 128: 104134 (2021) - [c5]Alicia Ruvinsky, Megan E. Gonzalez, James Richards, Cody Salter, Joshua Church, C. P. T. Deems McKee, Maria Seale:
An Approach to Gamifying Acquisitions for Assessing Impact on Military Strategy of Nation States. CogSIMA 2021: 51-58 - [c4]Somayeh Bakhtiari Ramezani, Logan Cummins, Brad Killen, Richard Carley, Shahram Rahimi, Maria Seale:
Similarity Based Methods for Faulty Pattern Detection in Predictive Maintenance. CSCI 2021: 207-213 - [c3]Cody Coleman, Yi Zhang, Maria Seale:
Leveraging Big Data to Discover High Yield Prognostics Applications. ICPHM 2021: 1-7 - [c2]Logan Cummins, Brad Killen, Thomas Kirby, Paul Barrett, Shahram Rahimi, Maria Seale:
Deep Learning Approaches to Remaining Useful Life Prediction: A Survey. SSCI 2021: 1-9 - [c1]Somayeh Bakhtiari Ramezani, Brad Killen, Logan Cummins, Shahram Rahimi, Amin Amirlatifi, Maria Seale:
A Survey of HMM-based Algorithms in Machinery Fault Prediction. SSCI 2021: 1-9
2010 – 2019
- 2019
- [p1]Alicia Ruvinsky, LaKenya Walker, Warith Abdullah, Maria Seale, William G. Bond, Leslie Leonard, Janet Wedgwood, Michael Krein, Timothy Siedlecki:
An Epistemological Model for a Data Analysis Process in Support of Verification and Validation. Information Quality in Information Fusion and Decision Making 2019: 359-399
Coauthor Index
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