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Kernel methods

FDCN-C: A deep learning model based on frequency enhancement, deformable convolution network, and crop module for electroencephalography motor imagery classification

Hong-Jie Liang, Ling-Long Li, Guang-Zhong Cao

Rapid determination of seismic influence field based on mobile communication big data—A case study of the Luding Ms 6.8 earthquake in Sichuan, China

Dongping Li, Qingquan Tan, [ ... ], Haiqing Sun

Assessing portfolio diversification via two-sample graph kernel inference. A case study on the influence of ESG screening

Ragnar L. Gudmundarson, Gareth W. Peters

Labor unionization and real earnings management: Evidence from labor elections

Vivek Astvansh, Beibei Wang, Tao Chen, Jimmy Chengyuan Qu

Efficient Nyström-type method for the solution of highly oscillatory Volterra integral equations of the second kind

Qinghua Wu, Mengjun Sun

Prediction and optimization of employee turnover intentions in enterprises based on unbalanced data

Zhaotian Li, Edward Fox

Explaining machine-learning models for gamma-ray detection and identification

Mark S. Bandstra, Joseph C. Curtis, [ ... ], Tenzing H. Y. Joshi

A method for detecting outliers in linear-circular non-parametric regression

Sümeyra Sert, Filiz Kardiyen

Bayesian composite quantile regression for the single-index model

Xiaohui Yuan, Xuefei Xiang, Xinran Zhang

Eigenvalue based spectral classification

Piotr Borkowski, Mieczysław A. Kłopotek, [ ... ], Marcin Sydow

Application of quantum computing to a linear non-Gaussian acyclic model for novel medical knowledge discovery

Hideaki Kawaguchi

A deep graph convolutional neural network architecture for graph classification

Yuchen Zhou, Hongtao Huo, Zhiwen Hou, Fanliang Bu

Iterative deep neural networks based on proximal gradient descent for image restoration

Ting Lv, Zhenkuan Pan, [ ... ], Xiatao Sun

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