H
Haihua Jiang
Researcher at Beijing University of Technology
Publications - 4
Citations - 138
Haihua Jiang is an academic researcher from Beijing University of Technology. The author has contributed to research in topics: Logistic regression & Depression (economics). The author has an hindex of 2, co-authored 2 publications receiving 73 citations.
Papers
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Journal ArticleDOI
Investigation of different speech types and emotions for detecting depression using different classifiers
TL;DR: A new computational methodology for detecting depression (STEDD) was developed and tested and showed a high accuracy level, with a desirable sensitivity/specificity ratio of 75.00%/85.29% for males and 77.36%/74.51% for females.
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Detecting Depression Using an Ensemble Logistic Regression Model Based on Multiple Speech Features.
TL;DR: An ensemble logistic regression model for detecting depression (ELRDD), which was superior in recognition of depression, was selected as the base classifier and ELRDD provided better classification results than the other compared classifiers.
Journal ArticleDOI
A radius-incorporated localized multiple kernel learning algorithm for detecting depression in speech
Journal ArticleDOI
Deep Learning Method for Evaluating Photovoltaic Potential of Rural Land Use Types
Zejun Yu,Long Zhang,Haihua Jiang +2 more
TL;DR: In this article , a deep learning approach was used to estimate the PV potential of different surfaces in rural areas, such as building roofs, wastelands, water surfaces, etc., to facilitate the overall planning and synergistic layout of rural PV utilization.