Rhoda Au

According to our database, Rhoda Au authored at least 14 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., December, 2024

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

2023

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

Proceedings of the HCI International 2023 - Late Breaking Papers, 2023

2022

Digital Mahjong System: Towards Precise Cognitive Assessment with IoT Technologies.

Ning An, Enze Hu, Yanrui Guo, Jiaoyun Yang, Rhoda Au, Huitong Ding

Proceedings of the HCI International 2022 - Late Breaking Papers: HCI for Health, Well-being, Universal Access and Healthy Aging, 2022

Detecting Dementia from Long Neuropsychological Interviews.

Nauman Dawalatabad, Yuan Gong, Sameer Khurana, Rhoda Au, James R. Glass

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

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

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

2020

Deep ensemble learning for Alzheimer's disease classification.

Ning An, Huitong Ding, Jiaoyun Yang, Rhoda Au, Ting Fang Alvin Ang

J. Biomed. Informatics, 2020

2019

Deep ensemble learning for Alzheimers disease classification.

Ning An, Huitong Ding, Jiaoyun Yang, Rhoda Au, Ting Fang Alvin Ang

CoRR, 2019

2018

Role-specific Language Models for Processing Recorded Neuropsychological Exams.

Tuka Al Hanai, Rhoda Au, James R. Glass

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

2017

Spoken language biomarkers for detecting cognitive impairment.

Tuka Alhanai, Rhoda Au, James R. Glass

Proceedings of the 2017 IEEE Automatic Speech Recognition and Understanding Workshop, 2017

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

Interpretable Machine Learning Models for the Digital Clock Drawing Test.

William Souillard-Mandar, Randall Davis, Cynthia Rudin, Rhoda Au, Dana L. Penney

CoRR, 2016

2015

THink: Inferring Cognitive Status from Subtle Behaviors.

Randall Davis, David J. Libon, Rhoda Au, David Pitman, Dana L. Penney

AI Mag., 2015