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Mohamed Ragab
Mohamed Ragab
Research Scientist, Center for Frontier AI Research, Agency for Science Technlogy and Research
Verified email at i2r.a-star.edu.sg - Homepage
Title
Cited by
Cited by
Year
Time-Series Representation Learning via Temporal and Contextual Contrasting
E Eldele, M Ragab, Z Chen, M Wu, CK Kwoh, X Li, C Guan
International Joint Conferences on Artificial Intelligence (IJCAI'21), 2352 …, 2021
5182021
Contrastive adversarial domain adaptation for machine remaining useful life prediction
M Ragab, Z Chen, M Wu, CS Foo, CK Kwoh, R Yan, X Li
IEEE Transactions on Industrial Informatics 17 (8), 5239-5249, 2020
1272020
Self-supervised contrastive representation learning for semi-supervised time-series classification
E Eldele, M Ragab, Z Chen, M Wu, CK Kwoh, X Li, C Guan
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
922023
Conditional contrastive domain generalization for fault diagnosis
M Ragab, Z Chen, W Zhang, E Eldele, M Wu, CK Kwoh, X Li
IEEE Transactions on Instrumentation and Measurement 71, 1-12, 2022
812022
Adatime: A benchmarking suite for domain adaptation on time series data
M Ragab, E Eldele, WL Tan, CS Foo, Z Chen, M Wu, CK Kwoh, X Li
ACM Transactions on Knowledge Discovery from Data 17 (8), 1-18, 2023
732023
Adversarial multiple-target domain adaptation for fault classification
M Ragab, Z Chen, M Wu, H Li, CK Kwoh, R Yan, X Li
IEEE Transactions on Instrumentation and Measurement 70, 1-11, 2020
722020
Attention-based sequence to sequence model for machine remaining useful life prediction
M Ragab, Z Chen, M Wu, CK Kwoh, R Yan, X Li
Neurocomputing 466, 58-68, 2021
69*2021
Self-supervised autoregressive domain adaptation for time series data
M Ragab, E Eldele, Z Chen, M Wu, CK Kwoh, X Li
IEEE Transactions on Neural Networks and Learning Systems 35 (1), 1341-1351, 2022
582022
ADAST: Attentive cross-domain EEG-based sleep staging framework with iterative self-training
E Eldele, M Ragab, Z Chen, M Wu, CK Kwoh, X Li, C Guan
IEEE Transactions on Emerging Topics in Computational Intelligence 7 (1 …, 2022
462022
Adversarial transfer learning for machine remaining useful life prediction
M Ragab, Z Chen, M Wu, CK Kwoh, X Li
2020 IEEE international conference on prognostics and health management …, 2020
412020
Localization and classification of structural damage using deep learning single-channel signal-based measurement
M Flah, M Ragab, M Lazhari, ML Nehdi
Automation in Construction 139, 104271, 2022
342022
Contrastive domain adaptation for time-series via temporal mixup
E Eldele, M Ragab, Z Chen, M Wu, CK Kwoh, X Li
IEEE Transactions on Artificial Intelligence, 2023
32*2023
Contrastive adversarial knowledge distillation for deep model compression in time-series regression tasks
Q Xu, Z Chen, M Ragab, C Wang, M Wu, X Li
Neurocomputing 485, 242-251, 2022
312022
Predicting antimicrobial activity of conjugated oligoelectrolyte molecules via machine learning
A Tiihonen, SJ Cox-Vazquez, Q Liang, M Ragab, Z Ren, NTP Hartono, ...
Journal of the American Chemical Society 143 (45), 18917-18931, 2021
302021
Self-supervised learning for label-efficient sleep stage classification: A comprehensive evaluation
E Eldele, M Ragab, Z Chen, M Wu, CK Kwoh, X Li
IEEE Transactions on Neural Systems and Rehabilitation Engineering 31, 1333-1342, 2023
282023
TSLANet: Rethinking Transformers for Time Series Representation Learning
E Eldele, M Ragab, Z Chen, M Wu, X Li
International Conference on Machine Learning (ICML), 2024, 2024
232024
Compressive sensing MRI reconstruction using empirical wavelet transform and grey wolf optimizer
M Ragab, OA Omer, M Abdel-Nasser
Neural Computing and Applications, 1-20, 2018
212018
Label-efficient time series representation learning: A review
E Eldele, M Ragab, Z Chen, M Wu, CK Kwoh, X Li
IEEE Transactions on Artificial Intelligence, 2024
192024
Beat-based PPG-ABP cleaning technique for blood pressure estimation
M Salah, OA Omer, L Hassan, M Ragab, AM Hassan, A Abdelreheem
IEEE Access 10, 55616-55626, 2022
162022
Secure transfer learning for machine fault diagnosis under different operating conditions
C Jin, M Ragab, KMM Aung
International Conference on Provable Security, 278-297, 2020
132020
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