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Xingche Guo

Showing results (1-10 of 8) with videos related to

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Journal of the American Statistical Association|May 6, 2024
A Semiparametric Inverse Reinforcement Learning Approach to Characterize Decision Making for Mental DisordersXingche Guo, Donglin Zeng, Yuanjia Wang
The Annals of Applied Statistics|January 21, 2026
JOINT MODELING FOR LEARNING DECISION-MAKING DYNAMICS IN BEHAVIORAL EXPERIMENTSYuan Bian, Xingche Guo, Yuanjia Wang
Biostatistics (Oxford, England)|September 3, 2024
HMM for discovering decision-making dynamics using reinforcement learning experimentsXingche Guo, Donglin Zeng, Yuanjia Wang
Plant Phenomics (Washington, D.C.)|May 22, 2023
High-Throughput Field Plant Phenotyping: A Self-Supervised Sequential CNN Method to Segment Overlapping PlantsXingche Guo, Yumou Qiu, Dan Nettleton, et al.
Biometrics|November 6, 2024
A hierarchical random effects state-space model for modeling brain activities from electroencephalogram dataXingche Guo, Bin Yang, Ji Meng Loh, et al.
Statistics in Medicine|May 3, 2024
Learning optimal biomarker-guided treatment policy for chronic disordersBin Yang, Xingche Guo, Ji Meng Loh, et al.
Plant Phenomics (Washington, D.C.)|August 18, 2021
KAT4IA: <i>K</i>-Means Assisted Training for Image Analysis of Field-Grown Plant PhenotypesXingche Guo, Yumou Qiu, Dan Nettleton, et al.
Metabolites|May 28, 2020
Metabolomic Profiling of <i>Nicotiana</i> Spp. Nectars Indicate That Pollinator Feeding Preference Is a Stronger Determinant Than Plant Phylogenetics in Shaping Nectar DiversityFredy A Silva, Elizabeth C Chatt, Siti-Nabilla Mahalim, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Journal of the American Statistical Association|May 6, 2024
A Semiparametric Inverse Reinforcement Learning Approach to Characterize Decision Making for Mental DisordersXingche Guo, Donglin Zeng, Yuanjia Wang
The Annals of Applied Statistics|January 21, 2026
JOINT MODELING FOR LEARNING DECISION-MAKING DYNAMICS IN BEHAVIORAL EXPERIMENTSYuan Bian, Xingche Guo, Yuanjia Wang
Biostatistics (Oxford, England)|September 3, 2024
HMM for discovering decision-making dynamics using reinforcement learning experimentsXingche Guo, Donglin Zeng, Yuanjia Wang
Plant Phenomics (Washington, D.C.)|May 22, 2023
High-Throughput Field Plant Phenotyping: A Self-Supervised Sequential CNN Method to Segment Overlapping PlantsXingche Guo, Yumou Qiu, Dan Nettleton, et al.
Biometrics|November 6, 2024
A hierarchical random effects state-space model for modeling brain activities from electroencephalogram dataXingche Guo, Bin Yang, Ji Meng Loh, et al.
Statistics in Medicine|May 3, 2024
Learning optimal biomarker-guided treatment policy for chronic disordersBin Yang, Xingche Guo, Ji Meng Loh, et al.
Plant Phenomics (Washington, D.C.)|August 18, 2021
KAT4IA: <i>K</i>-Means Assisted Training for Image Analysis of Field-Grown Plant PhenotypesXingche Guo, Yumou Qiu, Dan Nettleton, et al.
Metabolites|May 28, 2020
Metabolomic Profiling of <i>Nicotiana</i> Spp. Nectars Indicate That Pollinator Feeding Preference Is a Stronger Determinant Than Plant Phylogenetics in Shaping Nectar DiversityFredy A Silva, Elizabeth C Chatt, Siti-Nabilla Mahalim, et al.
Pageof 1