Justin C. Reynolds

According to our database, Justin C. Reynolds authored at least 5 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Integration of nested cross-validation, automated hyperparameter optimization, high-performance computing to reduce and quantify the variance of test performance estimation of deep learning models.

Paul Calle, Averi Bates, Justin C. Reynolds, Yunlong Liu, Haoyang Cui, Sinaro Ly, Chen Wang, Qinghao Zhang, Alberto J. de Armendi, Shashank S. Shettar, Kar-Ming Fung, Qinggong Tang, Chongle Pan

CoRR, March, 2025

Benchmarking interpretability of deep learning for predictive genomics: Recall, precision, and variability of feature attribution.

Justin C. Reynolds, Chongle Pan

PLoS Comput. Biol., 2025

Integration of nested cross-validation, automated hyperparameter optimization, high-performance computing to reduce and quantify the variance of test performance estimation of deep learning models.

Paul Calle, Averi Bates, Justin C. Reynolds, Yunlong Liu, Haoyang Cui, Sinaro Ly, Chen Wang, Qinghao Zhang, Alberto J. de Armendi, Shashank S. Shettar, Kar-Ming Fu, Qinggong Tang, Chongle Pan

Comput. Methods Programs Biomed., 2025

Octascope: A Lightweight Pre-Trained Model for Optical Coherence Tomography.

Haoyang Cui, Chen Wang, Paul Calle, Yunlong Liu, Qinghao Zhang, Sinaro Ly, Justin C. Reynolds, Feng Yan, Ke Zhang, Ronghao Liu, Junyuan Liu, Kar-Ming Fung, Zhongxin Yu, Ajay Jain, Qinggong Tang, Chongle Pan

IEEE Access, 2025

2023

Deep neural network improves the estimation of polygenic risk scores for breast cancer.

Adrien Badré, Li Zhang, Wellington Muchero, Justin C. Reynolds, Chongle Pan

CoRR, 2023