Hypothesis_3

Name: Hypothesis_3
Creator: Li, Adele
Published: 2024-10-06T00:00:00+08:00

Figshare2024-10-06 更新2026-04-08 收录

注意力分类

数据链接：

https://figshare.com/articles/dataset/Hypothesis_3/27175089/1 数据链接链接失效反馈

官方服务：

资源简介：

Results of Logistic regression, SVM, and Decision tree in three hypotheses for attention classification.

提供机构：

Li, Adele

创建时间：

2024-10-06

Multi-label EEG dataset for classifying Mental Attention states (MEMA)

脑电信号

注意力分类

MEMA数据集由西安交通大学计算机科学与技术学院创建，专门用于在线学习中精神注意力状态的多标签分类。数据集包含20名受试者的脑电信号，每个受试者参与12次试验，总计1060分钟的数据。数据集不仅包含脑电信号，还收集了情绪状态标签、基本个人信息和人格特质，以研究注意力与其他心理状态之间的关系。数据集通过多标签相关性研究进行了广泛的定量和定性分析，验证了脑电注意力数据的质量。该数据集的应用领域主要是在

arXiv2024-11-15 更新2970

Hypothesis_1

注意力分类

机器学习

Results of Logistic regression, SVM, and Decision tree in three hypotheses for attention classification.

DataCite Commons2024-10-06 更新190

Optimising the classification of feature-based attention in frequency-tagged electroencephalography data

脑电图

注意力分类

The data repository for the feature-based attention classification dataset contains four top level folders. Top level folders include “FeatAttnClassification\ExperimentalTask\”, which contains the MAT

Research Data Australia60

Hypotheses Results

机器学习

注意力分类

Results of Logistic regression, SVM, and Decision tree in three hypotheses for attention classification.

DataCite Commons2024-10-06 更新260

Hypothesis_2

机器学习

注意力分类

Results of Logistic regression, SVM, and Decision tree in three hypotheses for attention classification.

DataCite Commons2024-10-06 更新160