Publications

Machine Learning Modeling of Adaptive and Maladaptive Personality Traits from Passively Sensed Behavior

Published in Future Generation Computer Systems (FGCS), 2022

This paper was accepted by FGCS in February, 2022

Recommended citation: Yan, Runze, Whitney R. Ringwald, Julio Vega, Madeline Kehl, Sang Won Bae, Anind Dey, Carissa Low, Aidan GC Wright, and Afsaneh Doryab. "Machine Learning Modeling of Adaptive and Maladaptive Personality Traits from Passively Sensed Behavior." (2021). https://www.sciencedirect.com/science/article/pii/S0167739X2200053X

Daily Trajectory Prediction Using Temporal Frequent Pattern Tree

Published in International Congress on Information and Communication Technology (ICICT), 2021

Download paper here

Recommended citation: Cai, Mingyi, Runze Yan, and Afsaneh Doryab. "Daily Trajectory Prediction Using Temporal Frequent Pattern Tree." In Proceedings of Sixth International Congress on Information and Communication Technology, pp. 333-343. Springer, Singapore, (2022). https://link.springer.com/chapter/10.1007/978-981-16-2380-6_29

Towards a Computational Framework for Automated Discovery and Modeling of Biological Rhythms from Wearable Data Streams

Published in Intelligent Systems Conference (IntelliSys), 2021

Download paper here

Recommended citation: Yan, Runze, and Afsaneh Doryab. "Towards a Computational Framework for Automated Discovery and Modeling of Biological Rhythms from Wearable Data Streams." In Proceedings of SAI Intelligent Systems Conference, pp. 643-661. Springer, Cham, (2021). https://arxiv.org/pdf/2109.06177.pdf

Detection of Racial Bias from Physiological Responses

Published in International Conference on Applied Human Factors and Ergonomics (AHFE), 2021

Download paper here

Recommended citation: Nikseresht, Fateme, Runze Yan, Rachel Lew, Yingzheng Liu, Rose M. Sebastian, and Afsaneh Doryab. "Detection of Racial Bias from Physiological Responses." In International Conference on Applied Human Factors and Ergonomics, pp. 59-66. Springer, Cham, (2021). https://arxiv.org/pdf/2102.01287.pdf

A Computational Framework for Modeling Biobehavioral Rhythms from Mobile and Wearable Data Streams.” ACM Transactions on Intelligent Systems and Technology (TIST)

Published in ACM Transactions on Intelligent Systems and Technology (TIST), 2020

This paper was accepted by ACM TIST in January, 2022

Recommended citation: Yan, Runze, Xinwen Liu, Janine Dutcher, Michael Tumminia, Daniella Villalba, Sheldon Cohen, David Creswell et al. "A Computational Framework for Modeling Biobehavioral Rhythms from Mobile and Wearable Data Streams." ACM transactions on intelligent systems and technology, (2021). https://dl.acm.org/doi/full/10.1145/3510029