| 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 | 526 | 2021 |
| 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 | 131 | 2020 |
| 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 | 102 | 2023 |
| 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 | 84 | 2022 |
| 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 | 77 | 2023 |
| 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 | 74 | 2020 |
| 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 | 70 | 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 | 59 | 2022 |
| 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 | 48 | 2022 |
| 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 | 41 | 2020 |
| 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 | 35 | 2022 |
| 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 | 34 | 2024 |
| 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 5 (3), 1185-1194, 2023 | 34* | 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 | 33 | 2022 |
| 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 | 33 | 2021 |
| 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 | 28 | 2023 |
| 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 | 24 | 2018 |
| 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 | 18 | 2024 |
| 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 | 17 | 2022 |
| Source-free domain adaptation with temporal imputation for time series data M Ragab, E Eldele, M Wu, CS Foo, X Li, Z Chen Proceedings of the 29th ACM SIGKDD conference on knowledge discovery and …, 2023 | 14 | 2023 |
ZHENGHUA CHENLab Head & PI at Institute for Infocomm Research (I2R), A*STAR, Singaporentu.edu.sg의 이메일 확인됨