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Sanghyun Choo
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2020 – today
- 2024
- [j8]Sanghyun Choo
, Hoonseok Park, Jae-Yoon Jung, Kevin Flores, Chang S. Nam
Improving classification performance of motor imagery BCI through EEG data augmentation with conditional generative adversarial networks. Neural Networks 180: 106665 (2024) - 2023
- [j7]Sanghyun Choo
A study on the evaluation of tokenizer performance in natural language processing. Appl. Artif. Intell. 37(1) (2023) - [j6]Sanghyun Choo, Hoonseok Park
Effectiveness of multi-task deep learning framework for EEG-based emotion and context recognition. Expert Syst. Appl. 227: 120348 (2023) - [j5]Sangyeon Kim
Designing an XAI interface for BCI experts: A contextual design for pragmatic explanation interface based on domain knowledge in a specific context. Int. J. Hum. Comput. Stud. 174: 103009 (2023) - [c1]Hoonseok Park, Donghyun Park, Sangyeon Kim, Sanghyun Choo, Chang S. Nam, Sangwon Lee
Explaining Convolutional Neural Networks for EEG-based Brain-Computer Interface Using Influence Functions. SMC 2023: 4436-4440 - 2022
- [j4]Jiali Huang
Evaluating Effective Connectivity of Trust in Human-Automation Interaction: A Dynamic Causal Modeling (DCM) Study. Hum. Factors 64(6): 1051-1069 (2022) - [j3]Sanghyun Choo
Detecting Human Trust Calibration in Automation: A Convolutional Neural Network Approach. IEEE Trans. Hum. Mach. Syst. 52(4): 774-783 (2022)
2010 – 2019
- 2019
- [j2]Wonjoon Kim
Designing of smart chair for monitoring of sitting posture using convolutional neural networks. Data Technol. Appl. 53(2): 142-155 (2019) - 2018
- [j1]Sanghyun Choo, Hyunsoo Lee
Learning framework of multimodal Gaussian-Bernoulli RBM handling real-value input data. Neurocomputing 275: 1813-1822 (2018)
Coauthor Index
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last updated on 2024-10-08 20:32 CEST by the dblp team
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