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Publications (* corresponding author)

21. Hyunsoo Yoon, Todd J Schwedt, Catherine D. Chong, Oyekanmi Olatunde, Teresa Wu, "Harmonizing Healthy Cohorts to Support Multicenter Studies on Migraine Classification using Brain MRI Data," accepted PLOS ONE (IF:3.752)

20. Shuluo Ning, Hyunsoo Yoon*, 2024 "A new model for building energy modeling and management using predictive analytics: Partitioned Hierarchical Multitask Regression (PHMR)", Indoor Air, 2024, 5595459, (IF: 6.554)  PHMR 

19. Ziqi Guo, Thurmon E. Lockhart, Rahul Soangra, Teresa Wu, Hyunsoo Yoon*, 2024 Correlation Enhanced Distribution Adaptation for Prediction of Fall Risk, Scientific Reports, 14, 3477, (IF: 4.997)

18. Eunjung Cho, Hyunsoo Yoon, Youngsang Cho, 2024 "Evaluation of the impact of intensive PM2.5 reduction policy using machine learning in Seoul", Urban Climate, 53, 101778, (IF: 6.663)

17. Nathan Gaw, Jing Li, Hyunsoo Yoon*, 2024 "A Novel Semi-supervised Learning Model for Smartphone-based Health Telemonitoring," IEEE Transactions on Automation Science and Engineering, 21(1), 428-441, (IF:6.636

16. Firas Al-Hindawi, Tejaswi Soori, Han Hu, Md Siddiquee, Hyunsoo Yoon, Teresa Wu, Ying Sun, 2023 "A Generalized Framework for Critical Heat Flux Detection Using Unsupervised Image-to-Image Translation," Expert Systems with Applications, 227, 120265, (IF: 8.665)  link

15. Jiajing Huang, Hyunsoo Yoon*, Teresa Wu, Kasim Selcuk Candan, Ojas Pradhan, Jin Wen, Zheng O'Neill, 2023 "Eigen-Entropy: A Metric on Multi-variate Sampling Decision," Information Sciences,619, 84-97, (IF:8.233) link

14. Jiajing Huang, Hyunsoo Yoon*, Ojas Pradhan, Teresa Wu, Jin Wen, Zheng O'Neill, Kasim Selcuk Candan, 2022 "A Cosine-based Correlation Information Entropy Approach for Building Automatic Fault Detection Baseline Construction," 28, 1138–1149, Science and Technology for the Built Environment

13. Ernest Nkansah-Dwamena, Hyunsoo Yoon*, 2022 "Why is sub-Saharan Africa an attractive destination to foreign land grabbers? Evidence from country characteristics," accepted, African Development Review, 34, 280–292

12. Jiajing Huang, Jin Wen, Hyunsoo Yoon*, Ojas Pradhan, Teresa Wu, Zheng O'Neill, Kasim Selcuk Candan, 2022 "Real vs. Simulated: questions on the capability of simulated datasets on building fault detection for energy efficiency from a data-driven perspective,"  Energy & Buildings (IF: 5.879), 259, 111872, link

11. Thurmon E. Lockhart, Rahul Soangra, Hyunsoo Yoon, Teresa Wu, Christopher W. Frames, Raven Weaver, Karen A Roberto, 2021 "Prediction of Fall Risk among Community-Dwelling Older Adults using Wearable Wireless Sensors and Random Decision Forest Framework," Scientific Reports, 11, 20976, (IF: 4.011) (co-first author), link 

10. Seyed Moein Rassoulinejad-Mousavi, Firas Al-Hindawi, Tejaswi Soori, Hyunsoo Yoon, Han Hu, Teresa Wu, Ying Sun, 2021 "Deep learning strategies for critical heat flux detection in pool boiling," Applied Thermal Engineering (IF: 4.725), 190(25), 116849

9. Hyunsoo Yoon*, Nathan Gaw, 2021 “A novel multi-task linear mixed model for smartphone-based telemonitoring,” Expert Systems with Applications, 164, 113809, (IF: 5.452), 164, 113809, MultiLMM 

8. Fei Gao, Hyunsoo Yoon, Yanzhe Xu,  Dhruman Goradia, Ji Luo, Teresa Wu, Yi Su, 2020,  “AD-NET: Age-adjust neural network for improved MCI to AD conversion prediction,” NeuroImage-Clinical, 27, 102290, (IF: 4.35) (co-first author) AD-NET

7. Fei Gao, Hyunsoo Yoon*, Teresa Wu, Xianghua Chu, 2020, “A Feature Transfer Enabled Multi-Task Deep Learning Model on Medical Imaging”, Expert Systems with Applications,143, 112957, (IF: 5.452) FT-MTL

6. Setzer, Frank C., Katherine Shi, Zhiyang Zheng, Hao Yan, Hyunsoo Yoon, Mei Mupparapu, Jing Li, 2020, “Artificial Intelligence for the Computer-aided Detection of Periapical Lesions in Cone-beam Computed Tomographic Image,”Journal of Endodontics (IF:3.118) AI-CBCT

5. Nathan Gaw, Andrea Hawkins-Daarud, Leland Hu, Hyunsoo Yoon, Pamela Jackson, Teresa Wu, Kristin Swanson, Jing Li. 2019 “Integration of Machine Learning and Mechanistic Models for Cell Density Mapping of Glioblastoma using Multiparametric MRI,” Scientific Reports, (IF: 4.011) 9(1), p.10063. ML-PI

4. Fei Gao, Teresa Wu, Xianghua Chu, Hyunsoo Yoon, Yanzhe Xu, Bhavika Patel, 2019 “Deep Residual Inception Encoder-Decoder Network for Medical Imaging Synthesis,” IEEE Journal of Biomedical and health informatics, (IF:5.223) RIED-Net

3. Leland Hu, Hyunsoo Yoon, … , Jing Li, 2019 “Accurate Patient-specific Machine Learning Models of Glioblastoma Invasion using Transfer Learning,” American Journal of Neuroradiology, 40(3), p. 418-425, (co-first author) (IF:3.256) BTL

2. Hyunsoo Yoon, Jing Li. 2019 “A Novel Positive Transfer Learning Approach for Telemonitoring of Parkinson’s Disease,”  IEEE Transactions on Automation Science and Engineering, 16(1), p. 180-191, (IF:5.224) PTL

1. Hyunsoo Yoon, Cheong-Sool Park, Jun Seok Kim, Jun-Geol Baek, 2013 “Algorithm learning based neural network integrating feature selection and classification,”  Expert Systems with Applications, 40(1), p. 231-241, (IF:5.452) ALBNN


Under reviews

Working papers