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Maria Seale
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2020 – today
- 2024
- [j4]Logan Cummins
, Alexander Sommers, Somayeh Bakhtiari Ramezani
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
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
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
Explainable Intrusion Detection Systems (X-IDS): A Survey of Current Methods, Challenges, and Opportunities. IEEE Access 10: 112392-112415 (2022) - [c7]Maria Seale
A Fuzzy Epigenetic Model for Representing Degradation in Engineered Systems. SAI (2) 2022: 420-435 - [c6]Jesse Ables, Thomas Kirby, William Anderson
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
Creating an Explainable Intrusion Detection System Using Self Organizing Maps. CoRR abs/2207.07465 (2022) - [i1]William Anderson
Designing an Artificial Immune System inspired Intrusion Detection System. CoRR abs/2208.07801 (2022) - 2021
- [j1]Jared S. Cobb, Maria A. Seale
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
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
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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last updated on 2024-10-07 21:14 CEST by the dblp team
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