Machine Learning

Machine Learning

机器学习

  • 3区 中科院分区
  • Q2 JCR分区

期刊简介

《Machine Learning》是由Springer US出版社于1986年创办的英文国际期刊(ISSN: 0885-6125,E-ISSN: 1573-0565),该期刊长期致力于计算机:人工智能领域的创新研究,主要研究方向为工程技术-计算机:人工智能。作为SCIE收录期刊(JCR分区 Q2,中科院 3区),本刊采用OA未开放获取模式(OA占比0.3272...%),以发表计算机:人工智能领域等方向的原创性研究为核心(研究类文章占比99.39%%)。凭借严格的同行评审与高效编辑流程,期刊年载文量精选控制在164篇,确保学术质量与前沿性。成果覆盖Web of Science、Scopus等国际权威数据库,为学者提供推动计算机科学领域高水平交流平台。

投稿咨询

投稿提示

Machine Learning审稿周期约为 较慢,6-12周 。该刊近年未被列入国际预警名单,年发文量约164篇,录用竞争适中,主题需确保紧密契合计算机科学前沿。投稿策略提示:避开学术会议旺季投稿以缩短周期,语言建议专业润色提升可读性。

  • 计算机科学 大类学科
  • English 出版语言
  • 是否预警
  • SCIE 期刊收录
  • 164 发文量

中科院分区

中科院 SCI 期刊分区 2023年12月升级版

Top期刊 综述期刊 大类学科 小类学科
计算机科学
3区
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机:人工智能
3区

中科院 SCI 期刊分区 2022年12月升级版

Top期刊 综述期刊 大类学科 小类学科
计算机科学
3区
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机:人工智能
3区

JCR分区

按JIF指标学科分区 收录子集 分区 排名 百分位
学科:COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE SCIE Q2 54 / 197

72.8%

按JCI指标学科分区 收录子集 分区 排名 百分位
学科:COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE SCIE Q2 71 / 198

64.39%

CiteScore

CiteScore SJR SNIP CiteScore 排名
CiteScore:11 SJR:1.72 SNIP:2.57
学科类别 分区 排名 百分位
大类:Computer Science 小类:Software Q1 45 / 407

89%

大类:Computer Science 小类:Artificial Intelligence Q1 54 / 350

84%

期刊发文

  • Multiscale principle of relevant information for hyperspectral image classification

    Author: Wei, Yantao; Yu, Shujian; Giraldo, Luis Sanchez; Principe, Jose C.

    Journal: MACHINE LEARNING. 2023; Vol. 112, Issue 4, pp. 1227-1252. DOI: 10.1007/s10994-021-06011-9

  • Troubleshooting image segmentation models with human-in-the-loop

    Author: Wang, Haotao; Chen, Tianlong; Wang, Zhangyang; Ma, Kede

    Journal: MACHINE LEARNING. 2023; Vol. 112, Issue 3, pp. 1033-1051. DOI: 10.1007/s10994-021-06110-7

  • Beyond confusion matrix: learning from multiple annotators with awareness of instance features

    Author: Li, Jingzheng; Sun, Hailong; Li, Jiyi

    Journal: MACHINE LEARNING. 2023; Vol. 112, Issue 3, pp. 1053-1075. DOI: 10.1007/s10994-022-06211-x

  • DAFS: a domain aware few shot generative model for event detection

    Author: Xia, Nan; Yu, Hang; Wang, Yin; Xuan, Junyu; Luo, Xiangfeng

    Journal: MACHINE LEARNING. 2023; Vol. 112, Issue 3, pp. 1011-1031. DOI: 10.1007/s10994-022-06198-5

  • Reconciling privacy and utility: an unscented Kalman filter-based framework for differentially private machine learning

    Author: Tang, Kunsheng; Li, Ping; Song, Yide; Luo, Tian

    Journal: MACHINE LEARNING. 2023; Vol. 112, Issue 1, pp. 311-351. DOI: 10.1007/s10994-022-06279-5

  • Limits of multi-relational graphs

    Author: Alvarado, Juan; Wang, Yuyi; Ramon, Jan

    Journal: MACHINE LEARNING. 2023; Vol. 112, Issue 1, pp. 177-216. DOI: 10.1007/s10994-022-06281-x

  • Neural predictor-based automated graph classifier framework

    Author: Oloulade, Babatounde Moctard; Gao, Jianliang; Chen, Jiamin; Al-Sabri, Raeed; Lyu, Tengfei

    Journal: MACHINE LEARNING. 2023; Vol. 112, Issue 4, pp. 1315-1335. DOI: 10.1007/s10994-022-06287-5

  • Diverse and consistent multi-view networks for semi-supervised regression

    Author: Nguyen, Cuong; Raja, Arun; Zhang, Le; Xu, Xun; Unnikrishnan, Balagopal; Ragab, Mohamed; Lu, Kangkang; Foo, Chuan-Sheng

    Journal: MACHINE LEARNING. 2023; Vol. , Issue , pp. -. DOI: 10.1007/s10994-023-06305-0