17 citations · 27 across the 2 of their papers we have counts for
3 papers
cs.LG2019★ 17 cited
Deep ensemble learning for Alzheimers disease classification
Ning An, Huitong Ding, Jiaoyun Yang +2
Ensemble learning use multiple algorithms to obtain better predictive performance than any single one of its constituent algorithms could. With growing popularity of deep learning,…
cs.AI2017
Spoken Language Biomarkers for Detecting Cognitive Impairment
Tuka Alhanai, Rhoda Au, James Glass
In this study we developed an automated system that evaluates speech and language features from audio recordings of neuropsychological examinations of 92 subjects in the Framingham…
stat.ML2016★ 10 cited
Interpretable Machine Learning Models for the Digital Clock Drawing Test
William Souillard-Mandar, Randall Davis, Cynthia Rudin +2
The Clock Drawing Test (CDT) is a rapid, inexpensive, and popular neuropsychological screening tool for cognitive conditions. The Digital Clock Drawing Test (dCDT) uses novel softw…