THink: Inferring Cognitive Status from Subtle Behaviors. - Randall Davis; David J. Libon; Rhoda Au; David Pitman; Dana L. Penney (AI Mag., 2015)

Interpretable Machine Learning Models for the Digital Clock Drawing Test. - William Souillard-Mandar; Randall Davis; Cynthia Rudin; Rhoda Au; Dana L. Penney (CoRR, 2016)

Learning classification models of cognitive conditions from subtle behaviors in the digital Clock Drawing Test. - William Souillard-Mandar; Randall Davis; Cynthia Rudin; Rhoda Au; David J. Libon; Rodney Swenson; Catherine C. Price; Melissa Lamar; Dana L. Penney (Mach. Learn., 2016)

Spoken language biomarkers for detecting cognitive impairment. - Tuka Alhanai; Rhoda Au; James R. Glass (ASRU, 2017)

Role-specific Language Models for Processing Recorded Neuropsychological Exams. - Tuka Al Hanai; Rhoda Au; James R. Glass (NAACL-HLT (2), 2018)

Deep ensemble learning for Alzheimers disease classification. - Ning An 001; Huitong Ding; Jiaoyun Yang; Rhoda Au; Ting Fang Alvin Ang (CoRR, 2019)

Deep ensemble learning for Alzheimer's disease classification. - Ning An 001; Huitong Ding; Jiaoyun Yang; Rhoda Au; Ting Fang Alvin Ang (J. Biomed. Informatics, 2020)

Redefining and Validating Digital Biomarkers as Fluid, Dynamic Multi-Dimensional Digital Signal Patterns. - Rhoda Au; Vijaya B. Kolachalama; Ioannis Ch. Paschalidis (Frontiers Digit. Health, 2021)

DCTclock: Clinically-Interpretable and Automated Artificial Intelligence Analysis of Drawing Behavior for Capturing Cognition. - William Souillard-Mandar; Dana L. Penney; Braydon Schaible; Alvaro Pascual-Leone; Rhoda Au; Randall Davis (Frontiers Digit. Health, 2021)

Detecting Dementia from Long Neuropsychological Interviews. - Nauman Dawalatabad; Yuan Gong 001; Sameer Khurana; Rhoda Au; James R. Glass (EMNLP (Findings), 2022)

Digital Mahjong System: Towards Precise Cognitive Assessment with IoT Technologies. - Ning An 001; Enze Hu; Yanrui Guo; Jiaoyun Yang; Rhoda Au; Huitong Ding (HCI (46), 2022)

Designing and Evaluating MahjongBrain: A Digital Cognitive Assessment Tool Through Gamification. - Jiaoyun Yang; Richu Jiang; Huitong Ding; Rhoda Au; Jinying Chen; Clara Li; Ning An 001 (HCI (49), 2023)

Adversarial Learning for MRI Reconstruction and Classification of Cognitively Impaired Individuals. - Xiao Zhou; Akshara Rao Balachandra; Michael F. Romano; Sang Peter Chin; Rhoda Au; Vijaya B. Kolachalama (IEEE Access, 2024)

A Natural Language Processing Approach to Support Biomedical Data Harmonization: Leveraging Large Language Models. - Zexu Li; Suraj P. Prabhu; Zachary T. Popp; Shubhi S. Jain; Vijetha Balakundi; Ting Fang Alvin Ang; Rhoda Au; Jinying Chen (CoRR, 2024)

DREAMER: a computational framework to evaluate readiness of datasets for machine learning. - Meysam Ahangaran; Hanzhi Zhu; Ruihui Li; Lingkai Yin; Joseph Jang; Arnav P. Chaudhry; Lindsay A. Farrer; Rhoda Au; Vijaya B. Kolachalama (BMC Medical Informatics Decis. Mak., 2024)

Recognizing Dementia from Neuropsychological Tests with State Space Models. - Liming Wang; Saurabhchand Bhati; Cody Karjadi; Rhoda Au; James R. Glass (CoRR, 2025)