A Machine Learning Approach for Predicting Deterioration in Alzheimer's Disease. - Henry Musto; Daniel Stamate; Ida M. Pu; Daniel Stahl (ICMLA, 2021)

Predicting Risk of Dementia with Survival Machine Learning and Statistical Methods: Results on the English Longitudinal Study of Ageing Cohort. - Daniel Stamate; Henry Musto; Olesya Ajnakina; Daniel Stahl (AIAI (Workshops), 2022)

On a Survival Gradient Boosting, Neural Network and Cox PH Based Approach to Predicting Dementia Diagnosis Risk on ADNI. - Henry Musto; Daniel Stamate; Doina Logofatu; Lahcen Ouarbya (BIBM, 2023)

Predicting Alzheimer's Disease Diagnosis Risk Over Time with Survival Machine Learning on the ADNI Cohort. - Henry Musto; Daniel Stamate; Ida M. Pu; Daniel Stahl (ICCCI, 2023)

Predicting Alzheimers Disease Diagnosis Risk over Time with Survival Machine Learning on the ADNI Cohort. - Henry Musto; Daniel Stamate; Ida M. Pu; Daniel Stahl (CoRR, 2023)

Predicting Deterioration in Mild Cognitive Impairment with Survival Transformers, Extreme Gradient Boosting and Cox Proportional Hazard Modelling. - Henry Musto; Daniel Stamate; Doina Logofatu; Daniel Stahl (ICANN (8), 2024)

Variational Encoder Based Synthetic Alzheimer's Data Generation for Deep Learning, XGBoost and Statistical Survival Analysis. - Henry Musto; Daniel Stamate; Daniel Stahl (ICMLA, 2024)

Classifying Cognitive States of Alzheimer's Disease with Machine Learning Using Digital Biomarkers from the Bio-Hermes Study Cohort. - Eoin Houstoun; Daniel Stamate; Henry Musto; David Reeves; Catharine Morgan; Roxana Hutanu; Kalliopi Mavromati; Dorina Cadar; Daniel Stahl (AIAI (4), 2025)

Proteomics, Neuropsychological and Demographics Multimodal Machine Learning Approach to Alzheimer's Disease Prediction on the Bio-Hermes Study Cohort. - Henry Musto; Daniel Stamate; David Reeves; Catharine Morgan; Roxana Hutanu; Kalliopi Mavromati; Dorina Cadar; Daniel Stahl (AIAI (4), 2025)