| 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 | 438 | 2021 |
| An attention-based deep learning approach for sleep stage classification with single-channel EEG E Eldele, Z Chen, C Liu, M Wu, CK Kwoh, X Li, C Guan IEEE Transactions on Neural Systems and Rehabilitation Engineering 29, 809-818, 2021 | 390 | 2021 |
| 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 | 67 | 2022 |
| 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 | 60 | 2023 |
| 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 | 56 | 2023 |
| 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 | 50 | 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, 2022 | 42 | 2022 |
| 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 | 23* | 2023 |
| 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 | 22 | 2023 |
| 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 | 17 | 2024 |
| ECGTransForm: Empowering adaptive ECG arrhythmia classification framework with bidirectional transformer H El-Ghaish, E Eldele Biomedical Signal Processing and Control 89, 105714, 2024 | 13 | 2024 |
| 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 | 6 | 2024 |
| 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 | 4 | 2023 |
| Towards robust and label-efficient time series representation learning EAIA Eldele Nanyang Technological University, 2023 | 1 | 2023 |
| Evidentially Calibrated Source-Free Time-Series Domain Adaptation with Temporal Imputation P Gong, M Ragab, E Eldele, W Zhang, M Wu, CS Foo, D Zhang, X Li, ... arXiv preprint arXiv:2406.02635, 2024 | | 2024 |
| Hierarchical Classification Auxiliary Network for Time Series Forecasting Y Sun, Z Xie, D Chen, E Eldele, Q Hu arXiv preprint arXiv:2405.18975, 2024 | | 2024 |
| Enhanced framework for miRNA target prediction E Eldele, S ElGokhy, MT Saidahmed International Conference on Computer Engineering and Systems (ICCES), 544-549, 2017 | | 2017 |
ZHENGHUA CHENLab Head & PI at Institute for Infocomm Research (I2R), A*STAR, SingaporeGeverifieerd e-mailadres voor ntu.edu.sg
