Articles

Classifying mental motor tasks from chronic ECoG-BCI recordings using phase-amplitude coupling features

in Brain-Computer Interfaces

• Morgane Marzulli
• Alexandre Bleuzé
• Joe Saad
• Felix Martel
• Philippe Ciuciu
• Tetiana Aksenova
• Lucas Struber

High Classification Accuracy for Schizophrenia with Rest and Task fMRI Data

in Brain Imaging and Stimulation

• Wei Du
• Vince D Calhoun
• Hualiang Li
• Sai Ma
• Tom Eichele
• Kent A Kiehl
• Godfrey D Pearlson
• Tulay Adali

Classification of power grip and precision grip in children using an EIT-based tactile sensor

in Biosensors

• Ryunosuke Asahi
• Shumpei Toriyama
• Yasuyo Minagawa
• Shunsuke Yoshimoto
• Hiroki Sato

Dilated convolution capsule network for apple leaf disease identification

in Technical Advances in Plant Science

• Cong Xu
• Xuqi Wang
• Shanwen Zhang

Probabilistic prediction of wind power based on improved Bayesian neural network

in Wind Energy

• Zhiguang Deng
• Xu Zhang
• Zhengming Li
• Jinghua Yang
• Xin Lv
• Qian Wu
• Biwei Zhu

Identifying Alcohol Use Disorder With Resting State Functional Magnetic Resonance Imaging Data: A Comparison Among Machine Learning Classifiers

in Cognitive Science

• Victor M. Vergara
• Flor A. Espinoza
• Vince D. Calhoun

Dynamic and static integrated classification model of gas well based on XGBoost algorithm—an example from block S of Sulige tight sandstone gas field

in Georeservoirs

• Shuangshuang Zhang
• Xiangdong Yu
• Xiuli Gao
• Donglin Li
• Shijun Huang

Dynamic Alterations of Spontaneous Neural Activity in Parkinson's Disease: A Resting-State fMRI Study

in Applied Neuroimaging

• Chao Zhang
• Binru Dou
• Jiali Wang
• Kai Xu
• Haiyan Zhang
• Muhammad Umair Sami
• Chunfeng Hu
• Yutao Rong
• Qihua Xiao
• Nan Chen

A Brainnetome Atlas Based Mild Cognitive Impairment Identification Using Hurst Exponent

in Alzheimer's Disease and Related Dementias

• Zhuqing Long
• Bin Jing
• Ru Guo
• Bo Li
• Feiyi Cui
• Tingting Wang
• Hongwen Chen

Accurate earthquake and mining tremor identification via a CEEMDAN-LSTM framework

in Interdisciplinary Physics

• Chao Wang
• Xiufeng Zhang
• Weiming Gao
• Fangfang Wang
• Jianqi Lu
• Zhaoyang Yan

Identifying In Vitro Cultured Human Hepatocytes Markers with Machine Learning Methods Based on Single-Cell RNA-Seq Data

in Cell and Gene Therapy

• ZhanDong Li
• FeiMing Huang
• Lei Chen
• Tao Huang
• Yu-Dong Cai

Counting dense object of multiple types based on feature enhancement

• Qiyan Fu
• Weidong Min
• Weixiang Sheng
• Chunjiang Peng

Detection of oil spills based on gray level co-occurrence matrix and support vector machine

in Environmental Informatics and Remote Sensing

• Kai Li
• Hongliang Yu
• Yiqun Xu
• Xiaoqing Luo

Abnormal Resting-State Functional Connectivity in the Whole Brain in Lifelong Premature Ejaculation Patients Based on Machine Learning Approach

in Brain Imaging Methods

• Ziliang Xu
• Xuejuan Yang
• Ming Gao
• Lin Liu
• Jinbo Sun
• Peng Liu
• Wei Qin

Beyond Taxonomic Analysis of Microbiomes: A Functional Approach for Revisiting Microbiome Changes in Colorectal Cancer

in Systems Microbiology

• Mohammad Hossein Norouzi-Beirami
• Sayed-Amir Marashi
• Ali Mohammad Banaei-Moghaddam
• Kaveh Kavousi

Altered Functional Connectivity of the Primary Visual Cortex in Patients With Iridocyclitis and Assessment of Its Predictive Value Using Machine Learning

in Inflammation

• Yan Tong
• Xin Huang
• Chen-Xing Qi
• Yin Shen