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2020 – today
- 2023
[j5]Jingjing Yan, Xiao Huang
, Siqin Wang, Yiyi He, Xiao Li, Alexander Hohl, Xiaojiang Li, Mohamed Aly, Beiyu Lin:
Toward a comprehensive understanding of eye-level urban greenness: a systematic review. Int. J. Digit. Earth 16(2): 4769-4789 (2023)- [c9]Katherine A. Wuestney, Beiyu Lin, Diane J. Cook, Roschelle L. Fritz:
Modeling Human Frailty with a Smart Home-Based Approximation of Entropy. BCB 2023: 40:1-40:6 - [c8]Taif Anjum, Louis Chirade, Beiyu Lin, Apurva Narayan:
Learning Spatio-Temporal Features via 3D CNNs to Forecast Time-to-Accident. ICAART (3) 2023: 532-540 - 2022
- [c7]Guangyu Meng, Qisheng Jiang, Kaiqun Fu, Beiyu Lin, Chang-Tien Lu, Zhiqian Chen:
Early Forecast of Traffic Accident Impact Based on a Single-Snapshot Observation (Student Abstract). AAAI 2022: 13015-13016 - [c6]Taif Anjum, Beiyu Lin, Apurva Narayan:
Leveraging spatio-temporal features to forecast time-to-accident. SIGSPATIAL/GIS 2022: 112:1-112:2 - [c5]Wenkai Li, Theo Gueuret, Beiyu Lin:
Poster: SlideCNN: Deep Learning for Auditory Spatial Scenes with Limited Annotated Data. SEC 2022: 316-317 - [c4]Cicelia Siu, Beiyu Lin:
Poster: Imitation Learning for Hearing Loss Detection with Cortical Speech-Evoked Responses. SEC 2022: 318-319 - [c3]Louis Barbier, Beiyu Lin:
Poster: Unsupervised Learning for Extreme Space Weather Detection based on Spectrograms. SEC 2022: 320-321 - [c2]Guangyu Meng, Qisheng Jiang, Kaiqun Fu, Beiyu Lin, Chang-Tien Lu, Zhqian Chen:
Early Forecasting of the Impact of Traffic Accidents Using a Single Shot Observation. SDM 2022: 100-108 - 2021
- [c1]Xiaowei Jia, Beiyu Lin, Jacob Zwart, Jeffrey M. Sadler, Alison P. Appling, Samantha Oliver, Jordan S. Read:
Graph-based Reinforcement Learning for Active Learning in Real Time: An Application in Modeling River Networks. SDM 2021: 621-629 - 2020
- [j4]Beiyu Lin, Diane J. Cook, Maureen Schmitter-Edgecombe:
Using continuous sensor data to formalize a model of in-home activity patterns. J. Ambient Intell. Smart Environ. 12(3): 183-201 (2020) - [j3]Beiyu Lin, Diane J. Cook:
Analyzing Sensor-Based Individual and Population Behavior Patterns via Inverse Reinforcement Learning. Sensors 20(18): 5207 (2020) - [i1]Xiaowei Jia, Beiyu Lin, Jacob Zwart, Jeffrey M. Sadler, Alison P. Appling, Samantha Oliver, Jordan S. Read:
Graph-based Reinforcement Learning for Active Learning in Real Time: An Application in Modeling River Networks. CoRR abs/2010.14000 (2020)
2010 – 2019
- 2019
- [j2]Alireza Ghods, Kathleen Caffrey, Beiyu Lin, Kylie Fraga, Roschelle Fritz, Maureen Schmitter-Edgecombe, Christopher D. Hundhausen, Diane J. Cook:
Iterative Design of Visual Analytics for a Clinician-in-the-Loop Smart Home. IEEE J. Biomed. Health Informatics 23(4): 1742-1748 (2019) - 2017
- [j1]Beiyu Lin, Yibo Huangfu, Nathan Lima, Bertram Jobson, Max Kirk, Patrick O'Keeffe, Shelley N. Pressley, Von Walden, Brian T. Lamb, Diane J. Cook:
Analyzing the Relationship between Human Behavior and Indoor Air Quality. J. Sens. Actuator Networks 6(3): 13 (2017)
Coauthor Index
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