
Machine Intelligence Research
MIR 2024年第二期已于4月正式出版,13篇最新好文免费下载,其中6篇文章来自特约专题"Commonsense Knowledge and Reasoning: Representation, Acquisition and Applications",欢迎阅读!
专题客座编委:
刘康,中国科学院自动化研究所
宋阳秋,香港科技大学
Jeff Z. Pan,爱丁堡大学
专题 · Editorial
Editorial for Special Issue on Commonsense Knowledge and Reasoning: Representation, Acquisition and Applications
Kang Liu, Yangqiu Song & Jeff Z. Pan
https://link.springer.com/article/10.1007/s11633-024-1397-4
https://www.mi-research.net/en/article/doi/10.1007/s11633-024-1397-4
专题 · 综述
The Life Cycle of Knowledge in Big Language Models: A Survey
Boxi Cao, Hongyu Lin, Xianpei Han & Le Sun
https://link.springer.com/article/10.1007/s11633-023-1416-x
https://www.mi-research.net/en/article/doi/10.1007/s11633-023-1416-x
中文导读:
专题 · 综述
A Comprehensive Overview of CFN From a Commonsense Perspective
Ru Li, Yunxiao Zhao, Zhiqiang Wang, Xuefeng Su, Shaoru Guo, Yong Guan, Xiaoqi Han & Hongyan Zhao
https://link.springer.com/article/10.1007/s11633-023-1450-8
https://www.mi-research.net/en/article/doi/10.1007/s11633-023-1450-8
专题 · 研究论文
Corporate Credit Ratings Based on Hierarchical Heterogeneous Graph Neural Networks
Bo-Jing Feng, Xi Cheng, Hao-Nan Xu & Wen-Fang Xue
https://link.springer.com/article/10.1007/s11633-023-1425-9
https://www.mi-research.net/en/article/doi/10.1007/s11633-023-1425-9
专题 · 研究论文
GraphFlow+: Exploiting Conversation Flow in Conversational Machine Comprehension with Graph Neural Networks
Jing Hu, Lingfei Wu, Yu Chen, Po Hu & Mohammed J. Zaki
https://link.springer.com/article/10.1007/s11633-023-1421-0
https://www.mi-research.net/en/article/doi/10.1007/s11633-023-1421-0
专题 · 研究论文
Text Difficulty Study: Do Machines Behave the Same as Humans Regarding Text Difficulty?
Bowen Chen, Xiao Ding, Yi Zhao, Bo Fu, Tingmao Lin, Bing Qin & Ting Liu
https://link.springer.com/article/10.1007/s11633-023-1424-x
https://www.mi-research.net/en/article/doi/10.1007/s11633-023-1424-x
综述
Automation and Orchestration of Zero Trust Architecture: Potential Solutions and Challenges
Yang Cao, Shiva Raj Pokhrel, Ye Zhu, Robin Doss & Gang Li
https://link.springer.com/article/10.1007/s11633-023-1456-2
https://www.mi-research.net/en/article/doi/10.1007/s11633-023-1456-2
中文导读:
精选综述 | 零信任架构的自动化和编排: 潜在解决方案与挑战
研究论文
Acquiring Weak Annotations for Tumor Localization in Temporal and Volumetric Data
Yu-Cheng Chou, Bowen Li, Deng-Ping Fan, Alan Yuille & Zongwei Zhou
https://link.springer.com/article/10.1007/s11633-023-1380-5
https://www.mi-research.net/en/article/doi/10.1007/s11633-023-1380-5
中文导读:
约翰霍普金斯大学Alan Yuille团队 | 从时序和高维数据中定位肿瘤的弱标注方法
研究论文
Adaptively Enhancing Facial Expression Crucial Regions via a Local Non-local Joint Network
Guanghui Shi, Shasha Mao, Shuiping Gou, Dandan Yan, Licheng Jiao & Lin Xiong
https://link.springer.com/article/10.1007/s11633-023-1417-9
https://www.mi-research.net/en/article/doi/10.1007/s11633-023-1417-9
研究论文
Enhancing Multi-agent Coordination via Dual-channel Consensus
Qingyang Zhang, Kaishen Wang, Jingqing Ruan, Yiming Yang, Dengpeng Xing & Bo Xu
https://link.springer.com/article/10.1007/s11633-023-1464-2
https://www.mi-research.net/en/article/doi/10.1007/s11633-023-1464-2
研究论文
Comprehensive Relation Modelling for Image Paragraph Generation
Xianglu Zhu, Zhang Zhang, Wei Wang & Zilei Wang
https://link.springer.com/article/10.1007/s11633-022-1408-2
https://www.mi-research.net/en/article/doi/10.1007/s11633-022-1408-2
研究论文
CASIA-Iris-Africa: A Large-scale African Iris Image Database
Jawad Muhammad, Yunlong Wang, Junxing Hu, Kunbo Zhang & Zhenan Sun
https://link.springer.com/article/10.1007/s11633-022-1402-8
https://www.mi-research.net/en/article/doi/10.1007/s11633-022-1402-8
研究论文
A Soft Sensor with Light and Efficient Multi-scale Feature Method for Multiple Sampling Rates in Industrial Processing
Dezheng Wang, Yinglong Wang, Fan Yang, Liyang Xu, Yinong Zhang, Yiran Chen & Ning Liao
https://link.springer.com/article/10.1007/s11633-022-1401-9
https://www.mi-research.net/en/article/doi/10.1007/s11633-022-1401-9
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关于Machine Intelligence Research
Machine Intelligence Research(简称MIR,原刊名International Journal of Automation and Computing)由中国科学院自动化研究所主办,于2022年正式出版。MIR立足国内、面向全球,着眼于服务国家战略需求,刊发机器智能领域最新原创研究性论文、综述、评论等,全面报道国际机器智能领域的基础理论和前沿创新研究成果,促进国际学术交流与学科发展,服务国家人工智能科技进步。期刊入选"中国科技期刊卓越行动计划",已被ESCI、EI、Scopus、中国科技核心期刊、CSCD等20余家国际数据库收录,入选图像图形领域期刊分级目录-T2级知名期刊。2022年首个CiteScore分值达8.4,在计算机科学、工程、数学三大领域的八个子方向排名均跻身Q1区,最佳排名挺进Top 4%。

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