Results 1 to 10 of about 1,737,261 (319)

Balanced Loss Function for Accurate Surface Defect Segmentation

Applied Sciences, 2023
The accurate image segmentation of surface defects is challenging for modern convolutional neural networks (CNN)-based segmentation models. This paper identifies that loss imbalance is a critical problem in segmentation accuracy improvement.
Zhouyang Xie, Chang Shu, Yan Fu, Junlin Zhou, Duanbing Chen   +4 more
doaj   +3 more sources

Stein-Rule Estimation under an Extended Balanced Loss Function [PDF]

Journal of Statistical Computation and Simulation, 2007
This paper extends the balanced loss function to a more general set up. The ordinary least squares and Stein-rule estimators are exposed to this general loss function with quadratic loss structure in a linear regression model.
---, Shalabh, Heumann, Christian, Toutenburg, Helge   +2 more
core   +3 more sources

A study of minimax shrinkage estimators dominating the James-Stein estimator under the balanced loss function

Open Mathematics, 2022
One of the most common challenges in multivariate statistical analysis is estimating the mean parameters. A well-known approach of estimating the mean parameters is the maximum likelihood estimator (MLE).
Benkhaled Abdelkader, Hamdaoui Abdenour, Almutiry Waleed, Alshahrani Mohammed, Terbeche Mekki   +4 more
doaj   +2 more sources

Some results on quadratic credibility premium using the balanced loss function [PDF]

Arab Journal of Mathematical Sciences, 2023
Purpose – This paper generalizes the quadratic framework introduced by Le Courtois (2016) and Sumpf (2018), to obtain new credibility premiums in the balanced case, i.e. under the balanced squared error loss function.
Farouk Metiri, Halim Zeghdoudi, Ahmed Saadoun   +2 more
doaj   +3 more sources

Nonlinear Programming to Determine Best Weighted Coefficient of Balanced LINEX Loss Function Based on Lower Record Values

Complexity, 2021
Majority research studies in the literature determine the weighted coefficients of balanced loss function by suggesting some arbitrary values and then conducting comparison study to choose the best.
Fuad S. Al-Duais, Mohammed Alhagyan
doaj   +2 more sources

The optimal extended balanced loss function estimators

Journal of Computational and Applied Mathematics, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kaçıranlar S., Dawoud I.
openaire   +3 more sources

SVD-CLAHE boosting and balanced loss function for Covid-19 detection from an imbalanced Chest X-Ray dataset. [PDF]

Comput Biol Med, 2022
Roy S, Tyagi M, Bansal V, Jain V.
europepmc   +2 more sources

Balanced-BiEGCN: A Bidirectional EvolveGCN with a Class-Balanced Learning Network for Dynamic Anomaly Detection in Bitcoin [PDF]

Entropy
Bitcoin transaction anomaly detection is essential for maintaining financial market stability. A significant challenge is capturing the dynamically evolving transaction patterns within transaction networks.
Bo Xiao, Wei Yin
doaj   +2 more sources

Improving Skin-Disease Classification Based on Customized Loss Function Combined With Balanced Mini-Batch Logic and Real-Time Image Augmentation

IEEE Access, 2020
Skin cancer is one of the most common cancers in the world. However, the disease is curable if detected in the beginning stage. Early detection of malignant lesions through accurate techniques and innovative technologies has a significant impact on ...
Tri-Cong Pham, Antoine Doucet, Chi-Mai Luong, Cong-Thanh Tran, Van-Dung Hoang   +4 more
doaj   +2 more sources

Risk Comparison of Improved Estimators in a Linear Regression Model with Multivariate t Errors under Balanced Loss Function

Journal of Applied Mathematics, 2014
Under a balanced loss function, we derive the explicit formulae of the risk of the Stein-rule (SR) estimator, the positive-part Stein-rule (PSR) estimator, the feasible minimum mean squared error (FMMSE) estimator, and the adjusted feasible minimum mean ...
Guikai Hu, Qingguo Li, Shenghua Yu
doaj   +2 more sources