Interpretable Deep Learning for the Remote Characterisation of Ambulation in Multiple Sclerosis using Smartphones

16 March 2021

Papers citing "Interpretable Deep Learning for the Remote Characterisation of Ambulation in Multiple Sclerosis using Smartphones"

4 / 4 papers shown

Title
Frequency-Aware Masked Autoencoders for Human Activity Recognition using Accelerometers Niels R. Lorenzen P. Jennum Emmanuel Mignot A. Brink-Kjaer 31 0 0 17 Feb 2025
The Role of Explainable AI in Revolutionizing Human Health Monitoring: A Review Abdullah Alharthi Ahmed Alqurashi Turki Alharbi Mohammed Alammar Nasser Aldosari Houssem Bouchekara Yusuf Shaaban Mohammad Shoaib Shahriar Abdulrahman Al Ayidh 34 0 0 11 Sep 2024
Self-supervised Learning for Human Activity Recognition Using 700,000 Person-days of Wearable Data H. Yuan Shing Chan Andrew P. Creagh C. Tong Aidan Acquah David A. Clifton Aiden Doherty SSL 16 77 0 06 Jun 2022
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 234 2,235 0 24 Jun 2017