Rhoda Au

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 14

Top Topics

Ensemble Learning

Mutual Subspace Method

Intelligence Analysts

Top Venues

Frontiers Digit. Health

BMC Medical Informatics Decis. Mak.

Publications

Xiao Zhou, Akshara Rao Balachandra, Michael F. Romano, Sang Peter Chin, Rhoda Au, Vijaya B. Kolachalama
Adversarial Learning for MRI Reconstruction and Classification of Cognitively Impaired Individuals. IEEE Access 12 (2024)
Meysam Ahangaran, Hanzhi Zhu, Ruihui Li, Lingkai Yin, Joseph Jang, Arnav P. Chaudhry, Lindsay A. Farrer, Rhoda Au, Vijaya B. Kolachalama
DREAMER: a computational framework to evaluate readiness of datasets for machine learning. BMC Medical Informatics Decis. Mak. 24 (1) (2024)
Jiaoyun Yang, Richu Jiang, Huitong Ding, Rhoda Au, Jinying Chen, Clara Li, Ning An
Designing and Evaluating MahjongBrain: A Digital Cognitive Assessment Tool Through Gamification. HCI (49) (2023)
Ning An, Enze Hu, Yanrui Guo, Jiaoyun Yang, Rhoda Au, Huitong Ding
Digital Mahjong System: Towards Precise Cognitive Assessment with IoT Technologies. HCI (46) (2022)
Nauman Dawalatabad, Yuan Gong, Sameer Khurana, Rhoda Au, James R. Glass
Detecting Dementia from Long Neuropsychological Interviews. EMNLP (Findings) (2022)
Rhoda Au, Vijaya B. Kolachalama, Ioannis Ch. Paschalidis
Redefining and Validating Digital Biomarkers as Fluid, Dynamic Multi-Dimensional Digital Signal Patterns. Frontiers Digit. Health 3 (2021)
William Souillard-Mandar, Dana L. Penney, Braydon Schaible, Alvaro Pascual-Leone, Rhoda Au, Randall Davis
DCTclock: Clinically-Interpretable and Automated Artificial Intelligence Analysis of Drawing Behavior for Capturing Cognition. Frontiers Digit. Health 3 (2021)
Ning An, Huitong Ding, Jiaoyun Yang, Rhoda Au, Ting Fang Alvin Ang
Deep ensemble learning for Alzheimer's disease classification. J. Biomed. Informatics 105 (2020)
Ning An, Huitong Ding, Jiaoyun Yang, Rhoda Au, Ting Fang Alvin Ang
Deep ensemble learning for Alzheimers disease classification. CoRR (2019)
Tuka Al Hanai, Rhoda Au, James R. Glass
Role-specific Language Models for Processing Recorded Neuropsychological Exams. NAACL-HLT (2) (2018)
Tuka Alhanai, Rhoda Au, James R. Glass
Spoken Language Biomarkers for Detecting Cognitive Impairment. CoRR (2017)
Tuka Alhanai, Rhoda Au, James R. Glass
Spoken language biomarkers for detecting cognitive impairment. ASRU (2017)
William Souillard-Mandar, Randall Davis, Cynthia Rudin, Rhoda Au, Dana L. Penney
Interpretable Machine Learning Models for the Digital Clock Drawing Test. CoRR (2016)
William Souillard-Mandar, Randall Davis, Cynthia Rudin, Rhoda Au, David J. Libon, Rodney Swenson, Catherine C. Price, Melissa Lamar, Dana L. Penney
Learning classification models of cognitive conditions from subtle behaviors in the digital Clock Drawing Test. Mach. Learn. 102 (3) (2016)
Randall Davis, David J. Libon, Rhoda Au, David Pitman, Dana L. Penney
THink: Inferring Cognitive Status from Subtle Behaviors. AI Mag. 36 (3) (2015)
Randall Davis, David J. Libon, Rhoda Au, David Pitman, Dana L. Penney
THink: Inferring Cognitive Status from Subtle Behaviors. AAAI (2014)