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Imagining new futures beyond predictive systems in child welfare: A qualitative study with impacted stakeholders


May 18, 2022
Logan Stapleton, Min Hun Lee, Diana Qing, Marya Wright, Alexandra Chouldechova, Kenneth Holstein, Zhiwei Steven Wu, Haiyi Zhu

* 10 pages in main body; 4 pages in appendix; Published in the 2022 ACM Conference on Fairness, Accountability, and Transparency (FAccT'22) 

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Enabling AI and Robotic Coaches for Physical Rehabilitation Therapy: Iterative Design and Evaluation with Therapists and Post-Stroke Survivors


Jun 15, 2021
Min Hun Lee, Daniel P. Siewiorek, Asim Smailagic, Alexandre Bernardino, Sergi Bermúdez i Badia


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Designing Personalized Interaction of a Socially Assistive Robot for Stroke Rehabilitation Therapy


Jul 13, 2020
Min Hun Lee, Daniel P. Siewiorek, Asim Smailagic, Alexandre Bernardino, Sergi Bermúdez i Badia

* IEEE International Conference on Robotics and Automation (ICRA) Workshop on Social Robotics for Neurodevelopmental Disorders 2020 

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Opportunities of a Machine Learning-based Decision Support System for Stroke Rehabilitation Assessment


Mar 02, 2020
Min Hun Lee, Daniel P. Siewiorek, Asim Smailagic, Alexandre Bernardino, Sergi Bermúdez i Badia


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An Approach for Self-Training Audio Event Detectors Using Web Data


Jun 27, 2017
Benjamin Elizalde, Ankit Shah, Siddharth Dalmia, Min Hun Lee, Rohan Badlani, Anurag Kumar, Bhiksha Raj, Ian Lane

* 5 pages 

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