Emadeldeen Eldele

According to our database, Emadeldeen Eldele authored at least 16 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Contrastive Domain Adaptation for Time-Series Via Temporal Mixup.

Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li

IEEE Trans. Artif. Intell., March, 2024

Self-Supervised Autoregressive Domain Adaptation for Time Series Data.

Mohamed Ragab, Emadeldeen Eldele, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li

IEEE Trans. Neural Networks Learn. Syst., January, 2024

Evidentially Calibrated Source-Free Time-Series Domain Adaptation with Temporal Imputation.

Mohamed Ragab, Peiliang Gong, Emadeldeen Eldele, Wenyu Zhang, Min Wu, Chuan-Sheng Foo, Daoqiang Zhang, Xiaoli Li, Zhenghua Chen

CoRR, 2024

Hierarchical Classification Auxiliary Network for Time Series Forecasting.

Yanru Sun, Zongxia Xie, Dongyue Chen, Emadeldeen Eldele, Qinghua Hu

CoRR, 2024

ECGTransForm: Empowering adaptive ECG arrhythmia classification framework with bidirectional transformer.

Hany A. El-Ghaish, Emadeldeen Eldele

Biomed. Signal Process. Control., 2024

TSLANet: Rethinking Transformers for Time Series Representation Learning.

Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Xiaoli Li

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Self-Supervised Contrastive Representation Learning for Semi-Supervised Time-Series Classification.

Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li, Cuntai Guan

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

ADAST: Attentive Cross-Domain EEG-Based Sleep Staging Framework With Iterative Self-Training.

Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li, Cuntai Guan

IEEE Trans. Emerg. Top. Comput. Intell., February, 2023

ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data.

Mohamed Ragab, Emadeldeen Eldele, Wee Ling Tan, Chuan-Sheng Foo, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li

ACM Trans. Knowl. Discov. Data, 2023

Label-efficient Time Series Representation Learning: A Review.

Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li

CoRR, 2023

Source-Free Domain Adaptation with Temporal Imputation for Time Series Data.

Mohamed Ragab, Emadeldeen Eldele, Min Wu, Chuan-Sheng Foo, Xiaoli Li, Zhenghua Chen

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Conditional Contrastive Domain Generalization for Fault Diagnosis.

Mohamed Ragab, Zhenghua Chen, Wenyu Zhang, Emadeldeen Eldele, Min Wu, Chee Keong Kwoh, Xiaoli Li

IEEE Trans. Instrum. Meas., 2022

CoTMix: Contrastive Domain Adaptation for Time-Series via Temporal Mixup.

Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li

CoRR, 2022

Self-supervised Learning for Label-Efficient Sleep Stage Classification: A Comprehensive Evaluation.

Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li

CoRR, 2022

2021

Adversarial Domain Adaptation with Self-Training for EEG-based Sleep Stage Classification.

Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li, Cuntai Guan

CoRR, 2021

Time-Series Representation Learning via Temporal and Contextual Contrasting.

Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li, Cuntai Guan

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021