曲衍鹏 部门： 智能科学与技术 民族： 汉族 专业技术职务： 副教授 毕业院校： 大连理工大学 学位： 博士 教育经历 2003.09-2007.07 大连理工大学 信息科学与技术 本科 2007.09-2012.07 大连理工大学 大连理工大学 博士 2009.11-2011.11 Aberystwyth University Computer Science 联合培养博士 工作经历 2012.11-2016.06 大连海事大学 信息科学与技术学院 讲师 2012.11-至今 大连海事大学 信息科学与技术学院 副教授 2012.08-2020.07 Aberystwyth University Computer Science 科研项目 1 低质量贸易数据的粒度化分析挖掘技术 大连市科技局 大连市高层次人才青年科技之星项目 在研 2019-01至2020-12 2 基于不确定性计算的鲁棒风险评估关键技术研究 国家自然科学基金委员会 青年科学基金项目 完成 2016-01至2018-12 3 基于不确定性计算的乳腺癌风险等级评估技术研究 中国博士后科学基金会 特别资助项目 完成 2016-01至2018-12 4 采用不确定性计算方法的鲁棒风险评估关键技术研究 中国博士后科学基金会 面上项目 完成 2016-01至2018-12

不确定性人工智能

I’ve been investigating the utility of granular computing, neural networks to the problems of feature extraction, dimensionality reduction, classification, etc. and real-world applications of such techniques for intelligentdecision support, such as computer aided diagnosis.

1 Fuzzy-rough Assisted Refinement of Image Processing Procedure for Mammographic Risk Assessment Applied Soft Computing 2020 SCI 1/7 2 Non-unique decision differential entropy-based feature selection Neurocomputing 2020 SCI 1/5 3 Histogram of fuzzy local spatio-temporal descriptors for video action recognition IEEE Transactions on Industrial Informatics 2020 6/6 4 Multi-criterion mammographic risk analysis supported with multi-label fuzzy-rough feature selection Artificial Intelligence in Medicine 2020 1/6 5 An extended Takagi–Sugeno–Kang inference system (TSK+) with fuzzy interpolation and its rule base generation Soft Computing 2019 3/4 6 Gaze-Informed egocentric action recognition for memory aid systems IEEE Access 2018 5/5 7 Multi-functional nearest-neighbour classification Soft Computing 2018 1/4 8 Local coupled extreme learning machine Neural Computing and Applications 2016 1/1 9 Kernel-based fuzzy-rough nearest-neighbour classification for mammographic risk analysis International Journal of Fuzzy Systems 2015 1/5 10 The optimisation for local coupled extreme learning machine using differential evolution Mathematical Problems in Engineering 2015 1/2 11 Convergence analysis of a new self organizing map based optimization (SOMO) algorithm Cognitive Computation 2015 4/6 12 Modified gradient-based learning for local coupled feedforward neural networks with gaussian basis function Neural Computing and Applications 2013 1/5 13 Fuzzy similarity-based nearest-neighbour classification as alternatives to their fuzzy-rough parallels 2013 1/5 14 Evolutionary fuzzy extreme learning machine for mammographic risk analysis International Journal of Fuzzy Systems 2011 1/4