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Evaluating Image Quality Metrics as Loss Functions for Image Dehazing [PDF]
SensorsThe difficulty and manual nature of procuring human evaluators for ranking the quality of images affected by various types of degradations, and of those cleaned up by developed algorithms, has lead to the widespread adoption of automated metrics, like ...
Rareș Dobre-Baron +2 more
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HasLoss: a novel Hassanat distance-based loss functions for binary classification [PDF]
Frontiers in Artificial IntelligenceIntroductionLoss functions play a critical role in machine learning, particularly in training neural networks for classification tasks. In this work, we establish a theoretical framework for distance-based loss functions by adapting the Hassanat distance
Ahmad S. Tarawneh
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Score-Oriented Loss (SOL) functions
Pattern Recognition, 2022 Loss functions engineering and the assessment of prediction performances are two crucial and intertwined aspects of supervised machine learning. This paper focuses on binary classification to introduce a class of loss functions that are defined on ...
Francesco Marchetti +2 more
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An Analysis of Loss Functions for Heavily Imbalanced Lesion Segmentation [PDF]
SensorsHeavily imbalanced datasets are common in lesion segmentation. Specifically, the lesions usually comprise less than 5% of the whole image volume when dealing with brain MRI.
Mariano Cabezas, Yago Diez
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Deep learning prediction of diffusion MRI data with microstructure-sensitive loss functions [PDF]
Medical Image Analysis, 2023 Geng Chen +2 more
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On Joint Type-II Generalized Progressive Hybrid Censoring Scheme
Computational Journal of Mathematical and Statistical Sciences, 2023 This paper discussed a new scheme is called joint Type-II generalized progressively hybrid censoring scheme (JGPHCS-II). It assumed that the lifetime distribution of the items from the two populations follow exponential distribution.
Samia Salem +2 more
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YOLO-SE: Improved YOLOv8 for Remote Sensing Object Detection and Recognition
Applied Sciences, 2023 Object detection remains a pivotal aspect of remote sensing image analysis, and recent strides in Earth observation technology coupled with convolutional neural networks (CNNs) have propelled the field forward.
Tianyong Wu, Youkou Dong
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Fabric Defect Detection Method Using SA-Pix2pix Network and Transfer Learning
Applied Sciences, 2023 This paper proposes a fabric defect detection algorithm based on the SA-Pix2pix network and transfer learning to address the issue of insufficient accuracy in detecting complex pattern fabric defects in scenarios with limited sample data.
Feng Hu, Jie Gong, Han Fu, Wenliang Liu
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On Training Knowledge Graph Embedding Models
Information, 2021 Knowledge graph embedding (KGE) models have become popular means for making discoveries in knowledge graphs (e.g., RDF graphs) in an efficient and scalable manner.
Sameh K. Mohamed +2 more
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Mathematics, 2022 Given several nonnegative matrices with a single pattern of allocation among their zero/nonzero elements, the average matrix should have the same pattern as well.
Vladimir Yu. Protasov +2 more
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