19 citations · 40 across the 6 of their papers we have counts for
6 papers
Depression Detection using Resting State Three-channel EEG Signal
Qiuxia Shi, Ang Liu, Rongyan Chen +3
In universal environment, a patient-friendly inexpensive method is needed to realize the early diagnosis of depression, which is believed to be an effective way to reduce the morta…
A study of resting-state EEG biomarkers for depression recognition
Shuting Sun, Jianxiu Li, Huayu Chen +3
Background: Depression has become a major health burden worldwide, and effective detection depression is a great public-health challenge. This Electroencephalography (EEG)-based re…
A Novel Decision Tree for Depression Recognition in Speech
Zhenyu Liu, Dongyu Wang, Lan Zhang +1
Depression is a common mental disorder worldwide which causes a range of serious outcomes. The diagnosis of depression relies on patient-reported scales and psychiatrist interview…
Convergence Guarantees of Policy Optimization Methods for Markovian Jump Linear Systems
Joao Paulo Jansch-Porto, Bin Hu, Geir Dullerud
Recently, policy optimization for control purposes has received renewed attention due to the increasing interest in reinforcement learning. In this paper, we investigate the conver…
Local Probabilistic Model for Bayesian Classification: a Generalized Local Classification Model
Chengsheng Mao, Lijuan Lu, Bin Hu
In Bayesian classification, it is important to establish a probabilistic model for each class for likelihood estimation. Most of the previous methods modeled the probability distri…
An Interval-Based Bayesian Generative Model for Human Complex Activity Recognition
Li Liu, Yongzhong Yang, Lakshmi Narasimhan Govindarajan +4
Complex activity recognition is challenging due to the inherent uncertainty and diversity of performing a complex activity. Normally, each instance of a complex activity has its ow…