Titlebook: Human Brain and Artificial Intelligence; Third International Xiaomin Ying Conference proceedings 2023 The Editor(s) (if applicable) and Th

交叉路口

书目名称Human Brain and Artificial Intelligence影响因子(影响力)




书目名称Human Brain and Artificial Intelligence影响因子(影响力)学科排名




书目名称Human Brain and Artificial Intelligence网络公开度




书目名称Human Brain and Artificial Intelligence网络公开度学科排名




书目名称Human Brain and Artificial Intelligence被引频次




书目名称Human Brain and Artificial Intelligence被引频次学科排名




书目名称Human Brain and Artificial Intelligence年度引用




书目名称Human Brain and Artificial Intelligence年度引用学科排名




书目名称Human Brain and Artificial Intelligence读者反馈




书目名称Human Brain and Artificial Intelligence读者反馈学科排名

贫困

1865-0929 ld in conjunction with IJCAI-ECAI 2022, Vienna, Austria, on July 23, 2022. .The 19 full papers presented were carefully reviewed and selected from 21 submissions. The papers present most recent research in the fields of brain-inspired computing, brain-machine interfaces, computational neuroscience,

有组织

Conference proceedings 2023s. The papers present most recent research in the fields of brain-inspired computing, brain-machine interfaces, computational neuroscience, brain-related health, neuroimaging, cognition and behavior, learning, and memory, neuron modulation, and closed-loop brain stimulation..

遗留之物

Multi-source Domain Adaptation Based on Data Selector with Soft Actor-Criticlect the data in multi-source domains to migrate with our target domain, and use the difference in loss both before and after the model to determine the quality of the data and whether it is retained. Extensive experiments on the representative benchmark demonstrate that our method performs favorably against the state-of-the-art approaches.

SIT

性上瘾

Archipelago

Conference proceedings 2023unction with IJCAI-ECAI 2022, Vienna, Austria, on July 23, 2022. .The 19 full papers presented were carefully reviewed and selected from 21 submissions. The papers present most recent research in the fields of brain-inspired computing, brain-machine interfaces, computational neuroscience, brain-rela

dissent

Classification of EEG Signals Based on GA-ELM Optimization Algorithmgenetic algorithm, and using the basic method of SVM algorithm and ELM comparison between the results and draw HHT and optimization algorithm of single collection of experiment acquisition signal has a significant effect, high classification rate can reach 85.3%.

Stress-Fracture

A Mask Image Recognition Attention Network Supervised by Eye Movementsk image dataset as the supervision of network training. The proposed network fully learns the eye gaze region information to generate attention view. The results showed that classification performance improved 10.62% ~ 15.22%, especially in the small training dataset with high masking rate.

Conserve