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On estimation with balanced loss functions
Statistics & Probability Letters, 1999 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Department of Statistics, University of Connecticut, Storrs, CT 06269, USA ( host institution ) +3 more
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YOLOv3 Detection Algorithm Based on the Improved Bounding Box Regression Loss [PDF]
Jisuanji gongcheng, 2022 The bounding box regression loss function in the YOLOv3 detection algorithm is sensitive to the bounding box scale but does not have a strong correlation with the optimization of the algorithm detection effect evaluation standard Intersection over Union ...
SHEN Jiquan, CHEN Xiangjun, ZHAI Haixia
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Covariate balancing propensity score by tailored loss functions [PDF]
The Annals of Statistics, 2019 28 pages, 2 figures, 3 ...
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Mathematics, 2018 In this paper, first we consider the maximum likelihood estimators for two unknown parameters, reliability and hazard functions of the generalized Pareto distribution under progressively Type II censored sample. Next, we discuss the asymptotic confidence
Xuehua Hu, Wenhao Gui
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IEEE Access, 2021 House segmentation of remote sensing image based on deep learning has become the main segmentation method because it can automatically extract features.
Wei Yuan, Wenbo Xu
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Minimax estimator of regression coefficient in normal distribution under balanced loss function [PDF]
, 1990 This article investigates linear minimax estimators of regression coefficient in a linear model with an assumption that the underlying distribution is a normal one with a nonnegative definite covariance matrix under a balanced loss function.
Guikai Hu +20 more
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Boosting Minority Class Prediction on Imbalanced Point Cloud Data
Applied Sciences, 2020 Data imbalance during the training of deep networks can cause the network to skip directly to learning minority classes. This paper presents a novel framework by which to train segmentation networks using imbalanced point cloud data.
Hsien-I Lin, Mihn Cong Nguyen
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An imbalance-aware deep neural network for early prediction of preeclampsia.
PLoS ONE, 2022 Preeclampsia (PE) is a hypertensive complication affecting 8-10% of US pregnancies annually. While there is no cure for PE, aspirin may reduce complications for those at high risk for PE. Furthermore, PE disproportionately affects racial minorities, with
Rachel Bennett +4 more
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Sensors, 2022 Arrhythmia detection algorithms based on deep learning are attracting considerable interest due to their vital role in the diagnosis of cardiac abnormalities.
Muhammad Zubair, Changwoo Yoon
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Synaptic dysfunction, memory deficits and hippocampal atrophy due to ablation of mitochondrial fission in adult forebrain neurons [PDF]
, 2015 Well-balanced mitochondrial fission and fusion processes are essential for nervous system development. Loss of function of the main mitochondrial fission mediator, dynamin-related protein 1 (Drp1), is lethal early during embryonic development or around ...
A Eckert +65 more
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