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 | 50 | 2023 |
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 11, 41741-41769, 2023 | 23 | 2023 |
Explainable predictive maintenance: a survey of current methods, challenges and opportunities L Cummins, A Sommers, SB Ramezani, S Mittal, J Jabour, M Seale, ... IEEE Access, 2024 | 20 | 2024 |
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 | 14 | 2021 |
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 | 7 | 2021 |
Generative Local Interpretable Model-Agnostic Explanations M Nagahisarchoghaei, MM Karimi, S Rahimi, L Cummins, G Ghanbari The International FLAIRS Conference Proceedings 36, 2023 | 6 | 2023 |
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 | 5 | 2021 |
AAD-LLM: Adaptive Anomaly Detection Using Large Language Models A Russell-Gilbert, A Sommers, A Thompson, L Cummins, S Mittal, ... 2024 IEEE International Conference on Big Data (BigData), 4194-4203, 2024 | 2 | 2024 |
Explainable anomaly detection: Counterfactual driven what-if analysis L Cummins, A Sommers, S Mittal, S Rahimi, M Seale, J Jabour, T Arnold 2024 IEEE 6th International Conference on Cognitive Machine Intelligence …, 2024 | 2 | 2024 |
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 | 1 | 2023 |
Multivariate Data Augmentation for Predictive Maintenance using Diffusion A Thompson, A Sommers, A Russell-Gilbert, L Cummins, S Mittal, ... 2024 IEEE International Conference on Big Data (BigData), 4240-4247, 2024 | | 2024 |
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 |
2024 IEEE 6th International Conference on Cognitive Machine Intelligence (CogMI)| 979-8-3503-8672-1/24/$31.00© 2024 IEEE| DOI: 10.1109/CogMI62246. 2024.00046 T Abdelzaher, M Akbari Lor, M Akhavan Aghdam, A Aleroud, T Arnold, ... | | |
2024 IEEE 10th International Conference on Collaboration and Internet Computing (CIC)| 979-8-3503-8670-7/24/$31.00© 2024 IEEE| DOI: 10.1109/CIC62241. 2024.00027 T Abdelzaher, J Ables, S Abreu, M Alshammary, W Anderson, T Arnold, ... | | |