Ahmed Snoun

Orcid: 0000-0002-3886-8150

According to our database1, Ahmed Snoun authored at least 13 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
A Deep Learning Based System For a Long-term Elderly Behavioral Drift Detection.
SN Comput. Sci., October, 2024

The influence of dropout and residual connection against membership inference attacks on transformer model: a neuro generative disease case study.
Multim. Tools Appl., February, 2024

Daily Activities Forecasting for Long-Term Elderly Behavior Change Detection.
Proceedings of the Computational Collective Intelligence - 16th International Conference, 2024

2023
Deep-learning-based human activity recognition for Alzheimer's patients' daily life activities assistance.
Neural Comput. Appl., 2023

Context Sensitive Detection of Long-term Elderly Behavior Change.
Proceedings of the International Conference on Innovations in Intelligent Systems and Applications, 2023

2022
A Multimodal Hypovigilance Detection System Based on Fuzzy Logic and Transfer Learning.
J. Signal Process. Syst., December, 2022

View-invariant 3D Skeleton-based Human Activity Recognition based on Transformer and Spatio-temporal Features.
Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods, 2022

A Reinforcement Learning and Transformers Based Intelligent System for the Support of Alzheimer's Patients in Daily Life Activities.
Proceedings of the Computational Collective Intelligence - 14th International Conference, 2022

Reinforcement Learning for assistance of Alzheimer's disease patients.
Proceedings of the 8th International Conference on Control, 2022

2021
Towards a deep human activity recognition approach based on video to image transformation with skeleton data.
Multim. Tools Appl., 2021

2020
Deep Human Action Recognition System for Assistance of Alzheimer's Patients.
Proceedings of the Hybrid Intelligent Systems, 2020

2019
PTLHAR: PoseNet and transfer learning for human activities recognition based on body articulations.
Proceedings of the Twelfth International Conference on Machine Vision, 2019

2017
A Multimodal Vigilance Monitoring System Based on Fuzzy Logic Architecture.
Proceedings of the Neural Information Processing - 24th International Conference, 2017


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