雜志介紹

Ieee Transactions On Affective Computing雜志介紹

《Ieee Transactions On Affective Computing》是一本以English為主的未開放獲取國際優秀期刊，中文名稱情感計算的IEEE交易，本刊主要出版、報道計算機科學-COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE領域的研究動態以及在該領域取得的各方面的經驗和科研成果，介紹該領域有關本專業的最新進展，探討行業發展的思路和方法，以促進學術信息交流，提高行業發展。該刊已被國際權威數據庫SCIE收錄，為該領域相關學科的發展起到了良好的推動作用，也得到了本專業人員的廣泛認可。該刊最新影響因子為9.6，最新CiteScore 指數為15。

本刊近期中國學者發表的論文主要有：

• Emotion Intensity and its Control for Emotional Voice Conversion

  Author: Zhou, Kun; Sisman, Berrak; Rana, Rajib; Schuller, Bjorn W.; Li, Haizhou

• Multi-Target Positive Emotion Recognition From EEG Signals

  Author: Zhao, Guozhen; Zhang, Yulin; Zhang, Guanhua; Zhang, Dan; Liu, Yong-Jin

• Detecting Dependency-Related Sentiment Features for Aspect-Level Sentiment Classification

  Author: Zhang, Xing; Xu, Jingyun; Cai, Yi; Tan, Xingwei; Zhu, Changxi

• SparseDGCNN: Recognizing Emotion From Multichannel EEG Signals

  Author: Zhang, Guanhua; Yu, Minjing; Liu, Yong-Jin; Zhao, Guozhen; Zhang, Dan; Zheng, Wenming

英文介紹

Ieee Transactions On Affective Computing雜志英文介紹

The IEEE Transactions on Affective Computing is a cross-disciplinary and international archive journal aimed at disseminating results of research on the design of systems that can recognize, interpret, and simulate human emotions and related affective phenomena. The journal publishes original research on the principles and theories explaining why and how affective factors condition interaction between humans and technology, on how affective sensing and simulation techniques can inform our understanding of human affective processes, and on the design, implementation and evaluation of systems that carefully consider affect among the factors that influence their usability. Surveys of existing work are considered for publication when they propose a new viewpoint on the history and the perspective on this domain.