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05/15/2023
On the conformance of Android applications with children's data protection regulations and safeguarding guidelines
With the rapid development of online technologies and the widespread usa...
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06/27/2022
An Indirect Social Trust Model for Vehicular Social Networks Using Evolving Graph Theory
The increasing importance and consequent challenges of establishing indi...
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09/13/2021
POPCORN: Progressive Pseudo-labeling with Consistency Regularization and Neighboring
Semi-supervised learning (SSL) uses unlabeled data to compensate for the...
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04/01/2021
Augmenting Zero Trust Architecture to Endpoints Using Blockchain: A Systematic Review
With the purpose of defending against lateral movement in todays borderl...
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12/14/2020
Towards broader generalization of deep learning methods for multiple sclerosis lesion segmentation
Recently, segmentation methods based on Convolutional Neural Networks (C...
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08/20/2020
DataProVe: A Data Protection Policy and System Architecture Verification Tool
In this paper, we propose a tool, called DataProVe, for specifying high-...
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11/20/2019
AssemblyNet: A large ensemble of CNNs for 3D Whole Brain MRI Segmentation
Whole brain segmentation using deep learning (DL) is a very challenging ...
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07/15/2019
Multi-scale Graph-based Grading for Alzheimer's Disease Prediction
The prediction of subjects with mild cognitive impairment (MCI) who will...
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06/05/2019
AssemblyNet: A Novel Deep Decision-Making Process for Whole Brain MRI Segmentation
Whole brain segmentation using deep learning (DL) is a very challenging ...
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03/17/2019
Robust superpixels using color and contour features along linear path
Superpixel decomposition methods are widely used in computer vision and ...
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03/17/2019
SuperPatchMatch: an Algorithm for Robust Correspondences using Superpixel Patches
Superpixels have become very popular in many computer vision application...
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03/17/2019
An Optimized PatchMatch for Multi-scale and Multi-feature Label Fusion
Automatic segmentation methods are important tools for quantitative anal...
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03/17/2019
Evaluation Framework of Superpixel Methods with a Global Regularity Measure
In the superpixel literature, the comparison of state-of-the-art methods...
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03/17/2019
SCALP: Superpixels with Contour Adherence using Linear Path
Superpixel decomposition methods are generally used as a pre-processing ...
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03/17/2019
Robust Shape Regularity Criteria for Superpixel Evaluation
Regular decompositions are necessary for most superpixel-based object re...
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03/14/2019
Superpixel-based Color Transfer
In this work, we propose a fast superpixel-based color transfer method (...
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01/30/2019
Texture-Aware Superpixel Segmentation
Most superpixel methods are based on spatial and color measures at the p...
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07/06/2018
