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A general framework for updating belief distributions

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2016-11, Vol.78 (5), p.1103-1130

2016

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A novel three-way decision model under multiple-criteria environment

Information sciences, 2019-01, Vol.471, p.29-51

2019

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Generalized robust loss functions for machine learning

Neural networks, 2024-03, Vol.171, p.200-214

2024

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Multi-variate and single-variable flood fragility and loss approaches for buildings

Reliability engineering & system safety, 2020-10, Vol.202, p.106971, Article 106971

2020

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Research on deep learning in apple leaf disease recognition

Computers and electronics in agriculture, 2020-01, Vol.168, p.105146, Article 105146

2020

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A new asymmetric ϵ-insensitive pinball loss function based support vector quantile regression model

Applied soft computing, 2020-09, Vol.94, p.106473, Article 106473

2020

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A class of new Support Vector Regression models

Applied soft computing, 2020-09, Vol.94, p.106446, Article 106446

2020

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Deep Learning with Dynamically Weighted Loss Function for Sensor-Based Prognostics and Health Management

Sensors (Basel, Switzerland), 2020-01, Vol.20 (3), p.723

2020

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Fault Diagnosis of Bearings and Gears Based on LiteNet with Feature Aggregation

IEEE transactions on instrumentation and measurement, 2023-01, Vol.72, p.1-1

2023

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A unified perspective of classification-based loss and distance-based loss for cross-view gait recognition

Pattern recognition, 2022-05, Vol.125, p.108519, Article 108519

2022

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Advancing Supervised Learning with the Wave Loss Function: A Robust and Smooth Approach

Pattern recognition, 2024-11, Vol.155, p.110637, Article 110637

2024

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Estimation of Parameters of Inverse Lomax Distribution under Type-II Censoring Scheme

Journal of statistics applications & probability, 2021-03, Vol.10 (1), p.85-102

2021

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Robust regression under the general framework of bounded loss functions

European journal of operational research, 2023-11, Vol.310 (3), p.1325-1339

2023

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Robust echo state network with sparse online learning

Information sciences, 2022-05, Vol.594, p.95-117

2022

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Monitoring the performance of Bayesian EWMA control chart using loss functions

Computers & industrial engineering, 2017-10, Vol.112, p.426-436

2017

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Identification of candidate domestication‐related genes with a systematic survey of loss‐of‐function mutations

The Plant journal : for cell and molecular biology, 2018-12, Vol.96 (6), p.1218-1227

2018

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Shift‐channel attention and weighted‐region loss function for liver and dense tumor segmentation

Medical physics (Lancaster), 2022-11, Vol.49 (11), p.7193-7206

2022

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Discrepancy between structured matrices in the power analysis of a separability test

Computational statistics & data analysis, 2024-04, Vol.192, p.107907, Article 107907

2024

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Robust weighted linear loss twin multi-class support vector regression for large-scale classification

Signal processing, 2020-05, Vol.170, p.107449, Article 107449

2020

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Volatility forecast comparison using imperfect volatility proxies

Journal of econometrics, 2011, Vol.160 (1), p.246-256

Patton, Andrew J.

2011

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An effective deep network for automatic segmentation of complex lung tumors in CT images

Medical physics (Lancaster), 2021-09, Vol.48 (9), p.5004-5016

2021

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Unsupervised Pansharpening Method Using Residual Network With Spatial Texture Attention

IEEE transactions on geoscience and remote sensing, 2023, Vol.61, p.1-12

2023

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Valproic acid reduces muscle susceptibility to contraction‐induced functional loss but increases weakness in two murine models of Duchenne muscular dystrophy

Clinical and experimental pharmacology & physiology, 2023-09, Vol.50 (9), p.749-756

2023

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Iteratively reweighted least square for asymmetric L 2-Loss support vector regression

Communications in statistics. Simulation and computation, 2021-08, Vol.50 (7), p.2151-2167

Zheng, Songfeng

2021

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Doubly Type II Censoring of Two Stress-Strength System Reliability Estimation for Generalized Exponential-Poisson Distribution

Iraqi journal of science, 2023-04, p.1869-1880

2023

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A general framework for updating belief distributions

A novel three-way decision model under multiple-criteria environment

Generalized robust loss functions for machine learning

Multi-variate and single-variable flood fragility and loss approaches for buildings

Research on deep learning in apple leaf disease recognition

A new asymmetric ϵ-insensitive pinball loss function based support vector quantile regression model

A class of new Support Vector Regression models

Deep Learning with Dynamically Weighted Loss Function for Sensor-Based Prognostics and Health Management

Fault Diagnosis of Bearings and Gears Based on LiteNet with Feature Aggregation

A unified perspective of classification-based loss and distance-based loss for cross-view gait recognition

Advancing Supervised Learning with the Wave Loss Function: A Robust and Smooth Approach

Estimation of Parameters of Inverse Lomax Distribution under Type-II Censoring Scheme

Robust regression under the general framework of bounded loss functions

Robust echo state network with sparse online learning

Monitoring the performance of Bayesian EWMA control chart using loss functions

Identification of candidate domestication‐related genes with a systematic survey of loss‐of‐function mutations

Shift‐channel attention and weighted‐region loss function for liver and dense tumor segmentation

Discrepancy between structured matrices in the power analysis of a separability test

Robust weighted linear loss twin multi-class support vector regression for large-scale classification

Volatility forecast comparison using imperfect volatility proxies

An effective deep network for automatic segmentation of complex lung tumors in CT images

Unsupervised Pansharpening Method Using Residual Network With Spatial Texture Attention

Valproic acid reduces muscle susceptibility to contraction‐induced functional loss but increases weakness in two murine models of Duchenne muscular dystrophy

Iteratively reweighted least square for asymmetric L 2-Loss support vector regression

Doubly Type II Censoring of Two Stress-Strength System Reliability Estimation for Generalized Exponential-Poisson Distribution

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