A neural circuit for auditory dominance over visual perception YH Song, JH Kim, HW Jeong, I Choi, D Jeong, K Kim, SH Lee Neuron 93 (4), 940-954. e6, 2017 | 117 | 2017 |
Combined treatment with 2′-hydroxycinnamaldehyde and temozolomide suppresses glioblastoma tumorspheres by decreasing stemness and invasiveness H Jeong*, J Park*, JK Shim, JE Lee, NH Kim, HS Kim, JH Chang, JI Yook, ... Journal of neuro-oncology 143 (1), 69-77, 2019 | 16 | 2019 |
Clinical risk prediction with temporal probabilistic asymmetric multi-task learning TA Nguyen*, H Jeong*, E Yang, SJ Hwang Proceedings of the AAAI Conference on Artificial Intelligence 35 (10: AAAI …, 2021 | 14 | 2021 |
Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting K Lee*, H Jeong*, S Kim, D Yang, HC Kang, E Choi Conference on Health, Inference, and Learning (CHIL) 2022, 311-337, 2022 | 12 | 2022 |
Cost-effective Interactive Attention Learning with Neural Attention Processes J Heo, J Park, H Jeong, KJ Kim, J Lee, E Yang, SJ Hwang Thirty-seventh International Conference on Machine Learning, 2020 | 9 | 2020 |
Predicting fetal alcohol spectrum disorders using machine learning techniques: multisite retrospective cohort study SS Oh, I Kuang, H Jeong, JY Song, B Ren, JY Moon, EC Park, I Kawachi Journal of Medical Internet Research 25, e45041, 2023 | 3 | 2023 |
Adaptive Collaboration Strategy for LLMs in Medical Decision Making Y Kim, C Park, H Jeong, YS Chan, X Xu, D McDuff, C Breazeal, HW Park arXiv preprint arXiv:2404.15155, 2024 | | 2024 |
Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium H Jeong, S Jabbour, Y Yang, R Thapta, H Mozannar, WJ Han, ... arXiv preprint arXiv:2403.01628, 2024 | | 2024 |
Event-Based Contrastive Learning for Medical Time Series H Jeong, N Oufattole, A Balagopalan, M Mcdermott, B Jangeesingh, ... arXiv preprint arXiv:2312.10308, 2023 | | 2023 |
Machine Learning for Health (ML4H) 2023 S Hegselmann, A Parziale, D Shanmugam, S Tang, K Severson, ... Machine Learning for Health (ML4H), 1-12, 2023 | | 2023 |
Deep Metric Learning for the Hemodynamics Inference with Electrocardiogram Signals H Jeong, CM Stultz, M Ghassemi Proceedings of the 8th Machine Learning for Healthcare Conference, 321-342, 2023 | | 2023 |
Clinical risk prediction with temporal probabilistic asymmetric multi-task learning H Jeong 한국과학기술원, 2021 | | 2021 |