Picture for David Windridge

David Windridge

Middlesex University, London, UK

VALD-MD: Visual Attribution via Latent Diffusion for Medical Diagnostics

Add code
Jan 02, 2024
Viaarxiv icon

The Quantum Path Kernel: a Generalized Quantum Neural Tangent Kernel for Deep Quantum Machine Learning

Add code
Dec 22, 2022
Viaarxiv icon

Generative Adversarial Networks (GANs) in Networking: A Comprehensive Survey & Evaluation

Add code
May 10, 2021
Figure 1 for Generative Adversarial Networks (GANs) in Networking: A Comprehensive Survey & Evaluation
Figure 2 for Generative Adversarial Networks (GANs) in Networking: A Comprehensive Survey & Evaluation
Figure 3 for Generative Adversarial Networks (GANs) in Networking: A Comprehensive Survey & Evaluation
Figure 4 for Generative Adversarial Networks (GANs) in Networking: A Comprehensive Survey & Evaluation
Viaarxiv icon

Using Synthetic Data to Enhance the Accuracy of Fingerprint-Based Localization: A Deep Learning Approach

Add code
May 06, 2021
Figure 1 for Using Synthetic Data to Enhance the Accuracy of Fingerprint-Based Localization: A Deep Learning Approach
Figure 2 for Using Synthetic Data to Enhance the Accuracy of Fingerprint-Based Localization: A Deep Learning Approach
Figure 3 for Using Synthetic Data to Enhance the Accuracy of Fingerprint-Based Localization: A Deep Learning Approach
Viaarxiv icon

Using GAN to Enhance the Accuracy of Indoor Human Activity Recognition

Add code
Apr 23, 2020
Figure 1 for Using GAN to Enhance the Accuracy of Indoor Human Activity Recognition
Figure 2 for Using GAN to Enhance the Accuracy of Indoor Human Activity Recognition
Figure 3 for Using GAN to Enhance the Accuracy of Indoor Human Activity Recognition
Figure 4 for Using GAN to Enhance the Accuracy of Indoor Human Activity Recognition
Viaarxiv icon

Automatic Delineation of Kidney Region in DCE-MRI

Add code
May 26, 2019
Figure 1 for Automatic Delineation of Kidney Region in DCE-MRI
Figure 2 for Automatic Delineation of Kidney Region in DCE-MRI
Figure 3 for Automatic Delineation of Kidney Region in DCE-MRI
Figure 4 for Automatic Delineation of Kidney Region in DCE-MRI
Viaarxiv icon

Functional Segmentation through Dynamic Mode Decomposition: Automatic Quantification of Kidney Function in DCE-MRI Images

Add code
May 24, 2019
Figure 1 for Functional Segmentation through Dynamic Mode Decomposition: Automatic Quantification of Kidney Function in DCE-MRI Images
Figure 2 for Functional Segmentation through Dynamic Mode Decomposition: Automatic Quantification of Kidney Function in DCE-MRI Images
Figure 3 for Functional Segmentation through Dynamic Mode Decomposition: Automatic Quantification of Kidney Function in DCE-MRI Images
Figure 4 for Functional Segmentation through Dynamic Mode Decomposition: Automatic Quantification of Kidney Function in DCE-MRI Images
Viaarxiv icon

Can DMD obtain a Scene Background in Color?

Add code
Jul 22, 2016
Figure 1 for Can DMD obtain a Scene Background in Color?
Figure 2 for Can DMD obtain a Scene Background in Color?
Viaarxiv icon

Identifying Similar Patients Using Self-Organising Maps: A Case Study on Type-1 Diabetes Self-care Survey Responses

Add code
Mar 21, 2015
Figure 1 for Identifying Similar Patients Using Self-Organising Maps: A Case Study on Type-1 Diabetes Self-care Survey Responses
Figure 2 for Identifying Similar Patients Using Self-Organising Maps: A Case Study on Type-1 Diabetes Self-care Survey Responses
Figure 3 for Identifying Similar Patients Using Self-Organising Maps: A Case Study on Type-1 Diabetes Self-care Survey Responses
Figure 4 for Identifying Similar Patients Using Self-Organising Maps: A Case Study on Type-1 Diabetes Self-care Survey Responses
Viaarxiv icon

On the Intrinsic Limits to Representationally-Adaptive Machine-Learning

Add code
Mar 09, 2015
Viaarxiv icon