A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...
Overview DeepGCCA (Deep Generalized Canonical Correlation Analysis for Multi-View Fusion) is a multi-view fusion clustering method designed for single-cell RNA sequencing (scRNA-seq) data. The ...
Image segmentation is a fundamental process in digital image analysis, with applications in object recognition, medical imaging, and computer vision. Traditional segmentation techniques often struggle ...
This repository contains the implementation of Fuzzy Prototype Transfer Learning for Non-Overlapping Cross-Domain Recommendation (referred to as FPT), along with reproductions of baseline methods.
Abstract: Detecting forgery in digital images is crucial for several reasons. Firstly, with the widespread use and accessibility of image editing tools, individuals can easily manipulate digital ...
The present work aims to explore the performance of fuzzy system-based medical image processing for predicting the brain disease. The imaging mechanism of NMR (Nuclear Magnetic Resonance) and the ...
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