| An empirical survey on explainable ai technologies: Recent trends, use-cases, and categories from technical and application perspectives M Nagahisarchoghaei, N Nur, L Cummins, N Nur, MM Karimi, ... Electronics 12 (5), 1092, 2023 | 24 | 2023 |
| A survey of HMM-based algorithms in machinery fault prediction SB Ramezani, B Killen, L Cummins, S Rahimi, A Amirlatifi, M Seale 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 1-9, 2021 | 12 | 2021 |
| Scalability, Explainability and Performance of Data-Driven Algorithms in Predicting the Remaining Useful Life: A Comprehensive Review SB Ramezani, L Cummins, B Killen, R Carley, A Amirlatifi, S Rahimi, ... Ieee Access, 2023 | 10 | 2023 |
| Deep learning approaches to remaining useful life prediction: a survey L Cummins, B Killen, K Thomas, P Barrett, S Rahimi, M Seale 2021 ieee symposium series on computational intelligence (ssci), 1-9, 2021 | 5 | 2021 |
| Generative Local Interpretable Model-Agnostic Explanations M Nagahisarchoghaei, MM Karimi, S Rahimi, L Cummins, G Ghanbari The International FLAIRS Conference Proceedings 36, 2023 | 4 | 2023 |
| Explainable Predictive Maintenance: A Survey of Current Methods, Challenges and Opportunities L Cummins, A Sommers, SB Ramezani, S Mittal, J Jabour, M Seale, ... arXiv preprint arXiv:2401.07871, 2024 | 3 | 2024 |
| Similarity based methods for faulty pattern detection in predictive maintenance SB Ramezani, L Cummins, B Killen, R Carley, S Rahimi, M Seale 2021 International Conference on Computational Science and Computational …, 2021 | 2 | 2021 |
| A Survey of Transformer Enabled Time Series Synthesis A Sommers, L Cummins, S Mittal, S Rahimi, M Seale, J Jaboure, T Arnold arXiv preprint arXiv:2406.02322, 2024 | | 2024 |
| Generating Synthetic Time Series Data for Cyber-Physical Systems A Sommers, SB Ramezani, L Cummins, S Mittal, S Rahimi, M Seale, ... arXiv preprint arXiv:2404.08601, 2024 | | 2024 |
| Scalability, Explainability and Performance of Data-Driven Algorithms in Predicting the Remaining Useful Life: A Comprehensive Review S Bakhtiari Ramezani, L Cummins, B Killen, R Carley, A Amirlatifi, ... TechRxiv, 2023 | | 2023 |
| A Comparative Study of Continual, Lifelong, and Online Supervised Learning Libraries N Cummins, B Killen, SB Ramezani, S Rahimi, M Seale, S Mittal The International FLAIRS Conference Proceedings 36, 2023 | | 2023 |
Shahram RahimiDepartment Head and Professor, Mississippi State University在 cse.msstate.edu 的电子邮件经过验证
