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Research article

First published 2017-5-23

Twin support vector regression with Huber loss

Jiayi Niu, Jing Chen, Yitian Xu

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

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Research article

First published 2022-7

A novel bi-modal extended Huber loss function based refined mask RCNN approach for automatic multi instance detection and localization of breast cancer

Pradeep Kumar, Abhinav Kumar, Subodh Srivastava [...]

Proceedings of the Institution of Mechanical Engineers,Part H: Journal of Engineering in Medicine

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Research article

First published 2020-10-07

Training robust support vector regression machines for more general noise

Hongwei Dong, Liming Yang

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

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Research article

First published 2023-07-02

RETRACTED: Uncertain regression model based on Huber loss function

Wenxuan Xie, Jiali Wu, Yuhong Sheng

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

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Research article

First published 2019-10

Multivariate calibration with robust signal regression

Bin Li, Brian D Marx, Somsubhra Chakraborty [...]

Statistical Modelling

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Research article

First published 2023-4

Multi-well dynamic liquid-level prediction method of pumping well based on dynamic and static information feature fusion neural network

Mingxing Jia, Chunyang Leng

Transactions of the Institute of Measurement and Control

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Research article

First published 2021-8

Robust regression with asymmetric loss functions

Liya Fu, You-Gan Wang

Statistical Methods in Medical Research

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Research article

First published 2023-07-02

A new regularized and robust LSTM learning algorithm for industrial soft sensors

Lei Zhao, Junmei Guo, Kai Sun

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

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Research article

First published 2023-12

Influence of loss function on training the LSTM network in wall moisture tomography

Tomasz Rymarczyk, Monika Kulisz, Grzegorz Kłosowski

International Journal of Applied Electromagnetics and Mechanics

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Research article

First published 2016-2

Robust regression for highly corrupted response by shifting outliers

Yoonsuh Jung, Seung Pil Lee, Jianhua Hu

Statistical Modelling

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