Results 71 to 80 of about 384,232 (160)

Interpretable Machine Learning: A Comprehensive Review of Foundations, Methods, and the Path Forward

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 1, March 2026.
This systematic review of 352 studies establishes a comprehensive taxonomy for Interpretable Machine Learning, transitioning from foundational intrinsic models to advanced deep learning explanations. It reveals a critical paradigm shift toward “mechanistic interpretability” and actionable recourse, emphasizing that future AI systems must be rigorously ...
Shimon Fridkin, Michael Bendersky
wiley   +1 more source

A Random Walker Algorithm for Plate Boundary Detection in Spherical Mantle Convection Models and Global Geophysical Data Sets: Application to Euler Vector Determination

Journal of Geophysical Research: Solid Earth, Volume 131, Issue 3, March 2026.
Abstract As spherical shell mantle convection models become increasingly commonplace, understanding how plates are generated has raised the issue of how to recognize whether rigid plates are present in model output. Tectonocists have long recognized that intraplate regions are not rigid without exception.
P. Javaheri, J. P. Lowman
wiley   +1 more source

Automatic glioma segmentation based on adaptive superpixel

BMC Medical Imaging, 2019
Background The automatic glioma segmentation is of great significance for clinical practice. This study aims to propose an automatic method based on superpixel for glioma segmentation from the T2 weighted Magnetic Resonance Imaging.
Yaping Wu, Zhe Zhao, Weiguo Wu, Yusong Lin, Meiyun Wang   +4 more
doaj   +1 more source

Fuzzy C‐means clustering algorithm based on superpixel merging and multi‐feature adaptive fusion measurement

IET Image Processing
The fuzzy C‐means clustering (FCM) algorithm is widely used in greyscale and colour image segmentation, especially in real colour images. However, in the process of interested regions extraction, it performs barely satisfactory due to the use of single ...
Xie Zeyu, Luo Xiao, Zhao Defang, Chen Xinyu   +3 more
doaj   +1 more source

Adaptive Superpixel Segmentation-Based Coastline Extraction Method for PolSAR Images

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
To improve the accuracy of coastline extraction for polarimetric synthetic aperture radar (PolSAR) images, an adaptive superpixel segmentation-based method is proposed.
Yu Wang, Zhanying Ma, Mengmeng Li, Yu Li, Xue Shi, Xuemei Zhao   +5 more
doaj   +1 more source

An Improved Image Semantic Segmentation Method Based on Superpixels and Conditional Random Fields

Applied Sciences, 2018
This paper proposed an improved image semantic segmentation method based on superpixels and conditional random fields (CRFs). The proposed method can take full advantage of the superpixel edge information and the constraint relationship among different ...
Wei Zhao, Yi Fu, Xiaosong Wei, Hai Wang
doaj   +1 more source

PFS: Particle-Filter-Based Superpixel Segmentation

, 2018
In this paper, we propose a particle-filter-based superpixel (PFS) segmentation method that extends the original tracking problem as a region clustering problem.
Keyun Qin, Bing Luo, Zheng Pei, Li Xu
core   +1 more source

Mixture-Based Superpixel Segmentation and Classification of SAR Images

, 2016
We propose a mixture-based superpixel segmentation method for synthetic aperture radar (SAR) images. The method uses SAR image amplitudes and pixel coordinates as features.
Kayabol, Koray, Arisoy, Sertac
core   +1 more source

Superpixel Segmentation Based on Grid Point Density Peak Clustering. [PDF]

Sensors (Basel), 2021
Chen X, Peng X, Wang S.
europepmc   +1 more source

Deep learning approach based on superpixel segmentation assisted labeling for automatic pressure ulcer diagnosis. [PDF]

PLoS One, 2022
Chang CW, Christian M, Chang DH, Lai F, Liu TJ, Chen YS, Chen WJ.   +6 more
europepmc   +1 more source