Pedestrian intention prediction for autonomous driving using a multiple stakeholder perspective model K Kim*, YK Lee*, H Ahn, S Hahn, S Oh 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 14 | 2020 |
A machine learning approach to the development and prospective evaluation of a pediatric lung sound classification model JS Park*, K Kim*, JH Kim, YJ Choi, K Kim, DI Suh Scientific Reports 13 (1), 1289, 2023 | 12 | 2023 |
Detection of depression and suicide risk based on text from clinical interviews using machine learning: possibility of a new objective diagnostic marker D Shin*, K Kim*, SB Lee, C Lee, YS Bae, WI Cho, MJ Kim, CHK Park, ... Frontiers in Psychiatry 13, 2022 | 12 | 2022 |
Acoustic analysis of speech for screening for suicide risk: machine learning classifiers for between-and within-person evaluation of suicidality S Min*, D Shin*, SJ Rhee, CHK Park, JH Yang, Y Song, MJ Kim, K Kim, ... Journal of medical internet research 25, e45456, 2023 | 6 | 2023 |
Visually grounding language instruction for history-dependent manipulation H Ahn*, O Kwon*, K Kim, J Jeong, H Jun, H Lee, D Lee, S Oh 2022 International Conference on Robotics and Automation (ICRA), 675-682, 2022 | 6 | 2022 |
PRISM: Deep metric learning based personal grouping method to reduce intersubject variability for motor imagery brain-computer interface K Kim, K Kim, SB Lee Neurocomputing 593, 2024 | | 2024 |
TULIP: Multi-camera 3D Precision Assessment of Parkinson’s Disease K Kim, S Lyu, S Mantri, T Dunn IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2024 | | 2024 |