Learning framework of multimodal Gaussian-Bernoulli RBM handling real-value input data. - Sanghyun Choo; Hyunsoo Lee (Neurocomputing, 2018)

Designing of smart chair for monitoring of sitting posture using convolutional neural networks. - Wonjoon Kim; Byungki Jin; Sanghyun Choo; Chang S. Nam; Myung Hwan Yun (Data Technol. Appl., 2019)

Evaluating Effective Connectivity of Trust in Human-Automation Interaction: A Dynamic Causal Modeling (DCM) Study. - Jiali Huang; Sanghyun Choo; Zachary Pugh; Chang S. Nam (Hum. Factors, 2022)

Detecting Human Trust Calibration in Automation: A Convolutional Neural Network Approach. - Sanghyun Choo; Chang S. Nam (IEEE Trans. Hum. Mach. Syst., 2022)

Explaining Convolutional Neural Networks for EEG-based Brain-Computer Interface Using Influence Functions. - Hoonseok Park; Donghyun Park; Sangyeon Kim; Sanghyun Choo; Chang S. Nam; Sangwon Lee 009; Jae-Yoon Jung 001 (SMC, 2023)

Designing an XAI interface for BCI experts: A contextual design for pragmatic explanation interface based on domain knowledge in a specific context. - Sangyeon Kim; Sanghyun Choo; Donghyun Park; Hoonseok Park; Chang S. Nam; Jae-Yoon Jung 001; Sangwon Lee 009 (Int. J. Hum. Comput. Stud., 2023)

Effectiveness of multi-task deep learning framework for EEG-based emotion and context recognition. - Sanghyun Choo; Hoonseok Park; Sangyeon Kim; Donghyun Park; Jae-Yoon Jung 001; Sangwon Lee 009; Chang S. Nam (Expert Syst. Appl., 2023)

A study on the evaluation of tokenizer performance in natural language processing. - Sanghyun Choo; Wonjoon Kim (Appl. Artif. Intell., 2023)

Improving classification performance of motor imagery BCI through EEG data augmentation with conditional generative adversarial networks. - Sanghyun Choo; Hoonseok Park; Jae-Yoon Jung 001; Kevin Flores; Chang S. Nam (Neural Networks, 2024)

A Data-Centric Approach to Detecting and Mitigating Demographic Bias in Pediatric Mental Health Text: A Case Study in Anxiety Detection. - Julia Ive; Paulina Bondaronek; Vishal Yadav; Daniel Santel; Tracy A. Glauser; Tina Cheng; Jeffrey R. Strawn; Greeshma A. Agasthya; Jordan Tschida; Sanghyun Choo; Mayanka Chandrashekar; Anuj J. Kapadia; et al. (CoRR, 2025)