Concepedia

Dehua Liang

DL

4

Publications

124

Citations

4

H-Index

2020

Active since

Affiliations

Chapman University(Current)

California Institute of Technology

Dehua Liang is an author at Chapman University specializing in machine learning, engineering, and neurological monitoring.

Top concepts

EngineeringMachine LearningHealthBiometricsBody ImageStatisticsKinesiologyData ScienceNeuroimagingNeuroscience

Publications per year

2020–2023

4

Publications

4

Examining the utility of nonlinear machine learning approaches versus linear regression for predicting body image outcomes: The U.S. Body Project I

Dehua Liang, David A. Frederick, Elia Eiroa-Lledo et al. · Body Image · 2022 · 60 citations

Kinesiology, Body Composition, Machine Learning +14

Caltech Conte Center, a multimodal data resource for exploring social cognition and decision-making

Dorit Kliemann, Ralph Adolphs, Tim Armstrong et al. · Scientific Data · 2022 · 24 citations · Full text

Data Augmentation for Deep-Learning-Based Electroencephalography

Elnaz Lashgari, Dehua Liang, Uri Maoz · 2020 · 22 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +19

COVID-Dynamic: A large-scale longitudinal study of socioemotional and behavioral change across the pandemic

Tessa Rusch, Yanting Han, Dehua Liang et al. · Scientific Data · 2023 · 18 citations · Full text

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