Improving protein fold recognition by random forest. - Taeho Jo 002; Jianlin Cheng (BMC Bioinform., 2014)

Evaluation of Protein Structural Models Using Random Forests. - Renzhi Cao; Taeho Jo 002; Jianlin Cheng (CoRR, 2016)

Deep Learning in Alzheimer's disease: Diagnostic Classification and Prognostic Prediction using Neuroimaging Data. - Taeho Jo 002; Kwangsik Nho; Andrew J. Saykin (CoRR, 2019)

Deep learning detection of informative features in tau PET for Alzheimer's disease classification. - Taeho Jo 002; Kwangsik Nho; Shannon L. Risacher; Andrew J. Saykin (BMC Bioinform., 2020)

Deep learning-based identification of genetic variants: application to Alzheimer's disease classification. - Taeho Jo 002; Kwangsik Nho; Paula Bice; Andrew J. Saykin (Briefings Bioinform., 2022)

Uncertainty-Aware Genomic Classification of Alzheimer's Disease: A Transformer-Based Ensemble Approach with Monte Carlo Dropout. - Taeho Jo 002; Eun Hye Lee; Alzheimer's Disease Sequencing Project (CoRR, 2025)