Feiyan Lin - researchr alias

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Viewing Publication 1 - 7 from 7

2024

PathoEye: a novel deep learning framework for histopathological image analysis of skin tissueYusen Lin, Feiyan Lin, Yongjun Zhang, Jiajian Zhou. bcb 2024: [doi]

2023

Reward or punish: investigating output controls and content generation in the multi-sided platform contextFeiyan Lin, Hengqi Tian, Jing Zhao, Maomao Chi. intr, 33(2):578-605, 2023. [doi]

2022

The antecedents and effects of app evolution: a co-evolutionary perspectiveHengqi Tian, Feiyan Lin, Bingchen Guo, Jing Zhao. ijmc, 20(3):285-308, 2022. [doi]

2020

Implications of Rewards and Punishments for Content Generations by Key Opinion LeadersFeiyan Lin, Hengqi Tian, Bin Hu, Jing Zhao. whiceb 2020: 10 [doi]

2019

Using Biochemical Indexes to Prognose Paraquat-Poisoned Patients: An Extreme Learning Machine-Based ApproachLufeng Hu, Panxin Yang, Xianqin Wang, Feiyan Lin, Huiling Chen, Hongcui Cao, Haiying Li. access, 7:42148-42155, 2019. [doi]

2016

Low-Power Wearable Systems for Continuous Monitoring of Environment and Health for Chronic Respiratory DiseaseJames Dieffenderfer, Henry Goodell, Steven Mills, Michael McKnight, Shanshan Yao, Feiyan Lin, Eric Beppler, Brinnae Bent, Bongmook Lee, Veena Misra, Yong Zhu, Ömer Oralkan, Jason Strohmaier, John Muth, David Peden, Alper Bozkurt. titb, 20(5):1251-1264, 2016. [doi]

2015

Towards paper based diaper sensorsMichael McKnight, Feiyan Lin, Hannah Kausche, Tushar Ghosh, Alper Bozkurt. biocas 2015: 1-4 [doi]

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