Yi-Ta Chen

According to our database, Yi-Ta Chen authored at least 13 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Joint Optimization of Dimension Reduction and Mixed-Precision Quantization for Activation Compression of Neural Networks.

Yu-Shan Tai, Cheng-Yang Chang, Chieh-Fang Teng, Yi-Ta Chen, An-Yeu Wu

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., November, 2023

S-QRD-ELM: Scalable QR-Decomposition-Based Extreme Learning Machine Engine Supporting Online Class-Incremental Learning for ECG-Based User Identification.

Yi-Ta Chen, Yu-Chuan Chuang, Li-Sheng Chang, An-Yeu Wu

IEEE Trans. Circuits Syst. I Regul. Pap., 2023

2022

An Effective Entropy-Assisted Mind-Wandering Detection System Using EEG Signals of MM-SART Database.

Yi-Ta Chen, Hsing-Hao Lee, Ching-Yen Shih, Zih-Ling Chen, Win-Ken Beh, Su-Ling Yeh, An-Yeu Wu

IEEE J. Biomed. Health Informatics, 2022

D-NAT: Data-Driven Non-Ideality Aware Training Framework for Fabricated Computing-In-Memory Macros.

Ming-Guang Lin, Chi-Tse Huang, Yu-Chuan Chuang, Yi-Ta Chen, Ying-Tuan Hsu, Yu-Kai Chen, Jyun-Jhe Chou, Tsung-Te Liu, Chi-Sheng Shih, An-Yeu Wu

IEEE J. Emerg. Sel. Topics Circuits Syst., 2022

2021

An Arbitrarily Reconfigurable Extreme Learning Machine Inference Engine for Robust ECG Anomaly Detection.

Yu-Chuan Chuang, Yi-Ta Chen, Huai-Ting Li, An-Yeu Andy Wu

IEEE Open J. Circuits Syst., 2021

Efficient Mind-wandering Detection System with GSR Signals on MM-SART Database.

Sheng Chang, Yi-Ta Chen, An-Yeu Andy Wu

Proceedings of the IEEE Workshop on Signal Processing Systems, 2021

A Scalable Extreme Learning Machine (S-ELM) for Class-Incremental ECG-Based User Identification.

Cheng-Lin Lee, Yi-Ta Chen, An-Yeu Wu

Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

Scalable NPairLoss-Based Deep-ECG for ECG Verification.

Yu-Shan Tai, Yi-Ta Chen, An-Yeu Andy Wu

Proceedings of the Artificial Intelligence Applications and Innovations, 2021

2020

Online Extreme Learning Machine Design for the Application of Federated Learning.

Yi-Ta Chen, Yu-Chuan Chuang, An-Yeu Andy Wu

Proceedings of the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2020

2019

Robust and Lightweight Ensemble Extreme Learning Machine Engine Based on Eigenspace Domain for Compressed Learning.

Huai-Ting Li, Ching-Yao Chou, Yi-Ta Chen, Sheng-Hui Wang, An-Yeu Wu

IEEE Trans. Circuits Syst. I Regul. Pap., 2019

Feature Selection Framework for XGBoost Based on Electrodermal Activity in Stress Detection.

Cheng-Ping Hsieh, Yi-Ta Chen, Win-Ken Beh, An-Yeu Andy Wu

Proceedings of the 2019 IEEE International Workshop on Signal Processing Systems, 2019

AdaBoost-assisted Extreme Learning Machine for Efficient Online Sequential Classification.

Yi-Ta Chen, Yu-Chuan Chuang, An-Yeu Andy Wu

Proceedings of the 2019 IEEE International Workshop on Signal Processing Systems, 2019

Entropy and Complexity Assisted EEG-based Mental Workload Assessment System.

Po-Kang Liu, Win-Ken Beh, Ching-Yen Shih, Yi-Ta Chen, An-Yeu Andy Wu

Proceedings of the 2019 IEEE Biomedical Circuits and Systems Conference, 2019