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Logan Cummins
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2020 – today
- 2024
- [j2]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) - [i4]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) - [i3]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) - [i2]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) - [i1]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
- [j1]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) - [c5]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 - [c4]Mohammad Nagahisarchoghaei, Mirhossein Mousavi Karimi, Shahram Rahimi, Logan Cummins, Ghodsieh Ghanbari:
Generative Local Interpretable Model-Agnostic Explanations. FLAIRS 2023 - 2021
- [c3]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 - [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
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last updated on 2024-09-30 01:01 CEST by the dblp team
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