雜志介紹

Machine Intelligence Research雜志介紹

《Machine Intelligence Research》是一本以English為主的未開(kāi)放獲取國(guó)際優(yōu)秀期刊，中文名稱機(jī)器智能研究，本刊主要出版、報(bào)道計(jì)算機(jī)科學(xué)-AUTOMATION & CONTROL SYSTEMS領(lǐng)域的研究動(dòng)態(tài)以及在該領(lǐng)域取得的各方面的經(jīng)驗(yàn)和科研成果，介紹該領(lǐng)域有關(guān)本專業(yè)的最新進(jìn)展，探討行業(yè)發(fā)展的思路和方法，以促進(jìn)學(xué)術(shù)信息交流，提高行業(yè)發(fā)展。該刊已被國(guó)際權(quán)威數(shù)據(jù)庫(kù)SCIE收錄，為該領(lǐng)域相關(guān)學(xué)科的發(fā)展起到了良好的推動(dòng)作用，也得到了本專業(yè)人員的廣泛認(rèn)可。該刊最新影響因子為6.4，最新CiteScore 指數(shù)為6.7。

本刊近期中國(guó)學(xué)者發(fā)表的論文主要有：

• YuNet: A Tiny Millisecond-level Face Detector

  Author: Wu, Wei; Peng, Hanyang; Yu, Shiqi

• Deep Learning-based Moving Object Segmentation: Recent Progress and Research Prospects

  Author: Jiang, Rui; Zhu, Ruixiang; Su, Hu; Li, Yinlin; Xie, Yuan; Zou, Wei

• AI in Human-computer Gaming: Techniques, Challenges and Opportunities

  Author: Yin, Qi-Yue; Yang, Jun; Huang, Kai-Qi; Zhao, Mei-Jing; Ni, Wan-Cheng; Liang, Bin; Huang, Yan; Wu, Shu; Wang, Liang

• A Survey on Recent Advances and Challenges in Reinforcement Learning Methods for Task-oriented Dialogue Policy Learning

  Author: Kwan, Wai-Chung; Wang, Hong-Ru; Wang, Hui-Min; Wong, Kam-Fai

英文介紹

Machine Intelligence Research雜志英文介紹

Machine Intelligence Research, as an academic journal dedicated to promoting the development of the field of machine intelligence, reflects a positive response to national strategic needs and an open attitude towards global academic perspectives. This journal not only provides a platform for domestic and foreign researchers to showcase the latest research results, but also promotes academic exchanges and technological progress in key fields such as machine learning, deep learning, natural language processing, and computer vision by publishing high-quality original papers, reviews, and comments.

The publication content of the journal not only covers the basic theories of machine intelligence, but also pays special attention to cutting-edge innovations in this field, such as intelligent algorithms, big data processing, machine perception and cognition, etc. Through in-depth exploration of these contents, the journal aims to provide theoretical support and practical guidance for the technological progress of artificial intelligence, while also providing decision-making references and research perspectives for policy makers, industry experts, and academic researchers.