| 2024 | ICMLA | Automated Shared Phenotype Discovery in Undiagnosed Cohorts for Rare Disease Research. | Aaron J. Masino, Ranga Baminiwatte |
| 2021 | AMIA | Obesity Classifier Performance Disparities by Demographic Subgroup. | Elizabeth A. Campbell, Saurav Bose, Aaron J. Masino |
| 2021 | AMIA | Longitudinal Performance of a Machine Learning NICU Sepsis Predictor. | Aaron J. Masino, Mary Catherine Harris, Lakshmi Srinivasan, Robert W. Grundmeier |
| 2019 | CBMS | m-Health and Autism: Recognizing Stress and Anxiety with Machine Learning and Wearables Data. | Aaron J. Masino, Daniel Forsyth, Heather Nuske, John Herrington, Jeffrey W. Pennington, Yelena Kushleyeva, Christopher P. Bonafide |
| 2019 | ICMLA | Understanding Early Childhood Obesity via Interpretation of Machine Learning Model Predictions. | Xueqin Pang, Christopher B. Forrest, Flice L-Scherban, Aaron J. Masino |
| 2018 | AMIA | Machine Learning Models for Infant Sepsis Prediction. | Aaron J. Masino, Mary Catherine Harris, Daniel Forsyth, Svetlana Ostapenko, Robert W. Grundmeier |
| 2015 | AMIA | Identifying Abnormal Anatomy on Temporal Bone Computed Tomography Reports Using Readily Available Natural Language Processing Software. | Aaron J. Masino, Robert Grundmeier, Jeffrey W. Pennington, E. Bryan Crenshaw |