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[HTML][HTML] Local interpretable model-agnostic explanation approach for medical imaging analysis: A systematic literature review
Background: The interpretability and explainability of machine learning (ML) and artificial
intelligence systems are critical for generating trust in their outcomes in fields such as …
intelligence systems are critical for generating trust in their outcomes in fields such as …
Generalized uncertainty-based evidential fusion with hybrid multi-head attention for weak-supervised temporal action localization
Weakly supervised temporal action localization (WS-TAL) is a task of targeting at localizing
complete action instances and categorizing them with video-level labels. Action-background …
complete action instances and categorizing them with video-level labels. Action-background …
Alignable kernel network
To enhance the adaptability and performance of Convolutional Neural Networks (CNN), we
present an adaptable mechanism called Alignable Kernel (AliK) unit, which dynamically …
present an adaptable mechanism called Alignable Kernel (AliK) unit, which dynamically …
Underwater Image Restoration via Polymorphic Large Kernel CNNs
Underwater Image Restoration (UIR) remains a challenging task in computer vision due to
the complex degradation of images in underwater environments. While recent approaches …
the complex degradation of images in underwater environments. While recent approaches …
Connecting finger defects in flexible touch screen inspected with machine vision based on YOLOv8n
C Dong, Y Shen, Z Feng, D Lin, S Wang - Measurement, 2025 - Elsevier
Flexible touch screens (FTSs) have been widely applied in consumer electronics, cars, and
other fields. However, the quality of FTSs was difficult to guarantee with traditional AOI …
other fields. However, the quality of FTSs was difficult to guarantee with traditional AOI …
A novel framework for MCDM based on Z numbers and soft likelihood function
Y He - arxiv preprint arxiv:2412.19321, 2024 - arxiv.org
The optimization on the structure of process of information management under uncertain
environment has attracted lots of attention from researchers around the world. Nevertheless …
environment has attracted lots of attention from researchers around the world. Nevertheless …
An Adaptive Framework for Multi-View Clustering Leveraging Conditional Entropy Optimization
Multi-view clustering (MVC) has emerged as a powerful technique for extracting valuable
insights from data characterized by multiple perspectives or modalities. Despite significant …
insights from data characterized by multiple perspectives or modalities. Despite significant …