Year: 2025
Type: article
Abstract: with respect to changing distributions of data and confounding variables. Our experiments demonstrate that R-MDN promotes equitable predictions across population groups, both within static learning and across different stages of continual learning, by reducing catastrophic forgetting caused by confounder effects changing over time.
Source: PubMed
Authors: Shah, Yash, Gonzalez, Camila, Abbasi, Mohammad H., Zhao, Qingyu, Pohl, Kilian M., Adeli, Ehsan
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Awards: A facial expression-based personalization engine (FPE) for monitoring and modulating real-time effective engagement in cognitive training in older adults at risk for AD/ADRD, Neural mechanisms of gait disturbances as individualized digital biomarker trajectories in preclinical dementia, Interpretable Deep Forecasting of Hazardous Substance Use during High School
OpenAlex ID: W6948073497