Search Results - "Guo, Xingche" :: K.UTB vyhledávací portál | TBU Library Retrieval Portal

High-Throughput Field Plant Phenotyping: A Self-Supervised Sequential CNN Method to Segment Overlapping Plants

High-Throughput Field Plant Phenotyping: A Self-Supervised Sequential CNN Method to Segment Overlapping Plants

by Guo, Xingche, Qiu, Yumou, Nettleton, Dan, Schnable, Patrick S
Published in Plant phenomics (2023)

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Journal Article

KAT4IA: K-Means Assisted Training for Image Analysis of Field-Grown Plant Phenotypes

KAT4IA: K-Means Assisted Training for Image Analysis of Field-Grown Plant Phenotypes

by Guo, Xingche, Qiu, Yumou, Nettleton, Dan, Yeh, Cheng-Ting, Zheng, Zihao, Hey, Stefan, Schnable, Patrick S.
Published in Plant phenomics (01.01.2021)

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Journal Article

Metabolomic Profiling of Nicotiana Spp. Nectars Indicate That Pollinator Feeding Preference Is a Stronger Determinant Than Plant Phylogenetics in Shaping Nectar Diversity

Metabolomic Profiling of Nicotiana Spp. Nectars Indicate That Pollinator Feeding Preference Is a Stronger Determinant Than Plant Phylogenetics in Shaping Nectar Diversity

by Silva, Fredy A, Chatt, Elizabeth C, Mahalim, Siti-Nabilla, Guirgis, Adel, Guo, Xingche, Nettleton, Daniel S, Nikolau, Basil J, Thornburg, Robert W
Published in Metabolites (22.05.2020)

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Journal Article

A Semiparametric Inverse Reinforcement Learning Approach to Characterize Decision Making for Mental Disorders

A Semiparametric Inverse Reinforcement Learning Approach to Characterize Decision Making for Mental Disorders

by Guo, Xingche, Zeng, Donglin, Wang, Yuanjia
Published in Journal of the American Statistical Association (2024)

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Journal Article

HMM for discovering decision-making dynamics using reinforcement learning experiments

HMM for discovering decision-making dynamics using reinforcement learning experiments

by Guo, Xingche, Zeng, Donglin, Wang, Yuanjia
Published in Biostatistics (Oxford, England) (03.09.2024)

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Journal Article

Learning optimal biomarker‐guided treatment policy for chronic disorders

Learning optimal biomarker‐guided treatment policy for chronic disorders

by Yang, Bin, Guo, Xingche, Loh, Ji Meng, Wang, Qinxia, Wang, Yuanjia
Published in Statistics in medicine (30.06.2024)

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Journal Article

A hierarchical random effects state-space model for modeling brain activities from electroencephalogram data

A hierarchical random effects state-space model for modeling brain activities from electroencephalogram data

by Guo, Xingche, Yang, Bin, Loh, Ji Meng, Wang, Qinxia, Wang, Yuanjia
Published in Biometrics (03.10.2024)

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Journal Article

HMM for Discovering Decision-Making Dynamics Using Reinforcement Learning Experiments

HMM for Discovering Decision-Making Dynamics Using Reinforcement Learning Experiments

by Guo, Xingche, Zeng, Donglin, Wang, Yuanjia
Year of Publication 24.01.2024

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Journal Article

Variable Selection and Minimax Prediction in High-dimensional Functional Linear Model

Variable Selection and Minimax Prediction in High-dimensional Functional Linear Model

by Guo, Xingche, Li, Yehua, Hsing, Tailen
Year of Publication 22.10.2023

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Journal Article

Variable Selection and Minimax Prediction in High-dimensional Functional Linear Model

Variable Selection and Minimax Prediction in High-dimensional Functional Linear Model

by Guo, Xingche, Li, Yehua, Hsing, Tailen
Published in arXiv.org (10.08.2024)

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Paper

HMM for Discovering Decision-Making Dynamics Using Reinforcement Learning Experiments

HMM for Discovering Decision-Making Dynamics Using Reinforcement Learning Experiments

by Guo, Xingche, Zeng, Donglin, Wang, Yuanjia
Published in arXiv.org (26.07.2024)

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Paper

A Hierarchical Random Effects State-space Model for Modeling Brain Activities from Electroencephalogram Data

A Hierarchical Random Effects State-space Model for Modeling Brain Activities from Electroencephalogram Data

by Guo, Xingche, Yang, Bin, Loh, Ji Meng, Wang, Qinxia, Wang, Yuanjia
Year of Publication 04.10.2023

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Journal Article

Learning Optimal Biomarker-Guided Treatment Policy for Chronic Disorders

Learning Optimal Biomarker-Guided Treatment Policy for Chronic Disorders

by Yang, Bin, Guo, Xingche, Loh, Ji Meng, Wang, Qinxia, Wang, Yuanjia
Year of Publication 23.05.2023

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Journal Article

A Semiparametric Inverse Reinforcement Learning Approach to Characterize Decision Making for Mental Disorders

A Semiparametric Inverse Reinforcement Learning Approach to Characterize Decision Making for Mental Disorders

by Guo, Xingche, Zeng, Donglin, Wang, Yuanjia
Published in Journal of the American Statistical Association (02.01.2024)

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Report

A Hierarchical Random Effects State-space Model for Modeling Brain Activities from Electroencephalogram Data

A Hierarchical Random Effects State-space Model for Modeling Brain Activities from Electroencephalogram Data

by Guo, Xingche, Yang, Bin, Ji Meng Loh, Wang, Qinxia, Wang, Yuanjia
Published in arXiv.org (28.01.2024)

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Paper

Learning Optimal Biomarker-Guided Treatment Policy for Chronic Disorders

Learning Optimal Biomarker-Guided Treatment Policy for Chronic Disorders

by Yang, Bin, Guo, Xingche, Ji Meng Loh, Wang, Qinxia, Wang, Yuanjia
Published in arXiv.org (23.05.2023)

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Paper

Automatic Traits Extraction and Fitting for Field High-throughput Phenotyping Systems

Automatic Traits Extraction and Fitting for Field High-throughput Phenotyping Systems

by Guo, Xingche, Qiu, Yumou, Nettleton, Dan, Cheng-Ting, Yeh, Zheng, Zihao, Hey, Stefan, Schnable, Patrick S
Published in bioRxiv (10.09.2020)

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Paper