Marcos Lupión

Orcid: 0000-0001-7697-8062

According to our database1, Marcos Lupión authored at least 15 papers between 2020 and 2024.

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

Timeline

Legend:

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Online presence:

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Bibliography

2024
Data Augmentation for Human Activity Recognition With Generative Adversarial Networks.
IEEE J. Biomed. Health Informatics, April, 2024

3D Human Pose Estimation from multi-view thermal vision sensors.
Inf. Fusion, April, 2024

On the Use of GPU Computing for Accelerating EEG Preprocessing.
Proceedings of the Euro-Par 2024: Parallel Processing, 2024

2023
THPoseLite, a Lightweight Neural Network for Detecting Pose in Thermal Images.
IEEE Internet Things J., September, 2023

Accelerating neural network architecture search using multi-GPU high-performance computing.
J. Supercomput., May, 2023

Edge IoT System for Wearable Devices: Real-Time Data Processing, Inference, and Training for Activity Monitoring and Health Evaluation.
Proceedings of the 15th International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2023), 2023

2022
Using a Multi-GPU node to accelerate the training of Pix2Pix neural networks.
J. Supercomput., 2022

On the limits of Conditional Generative Adversarial Neural Networks to reconstruct the identification of inhabitants from IoT low-resolution thermal sensors.
Expert Syst. Appl., 2022

ThermalYOLO: A Person Detection Neural Network in Thermal Images for Smart Environments.
Proceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence, 2022

Estimating Frontal Body Landmarks from Thermal Sensors Using Residual Neural Networks.
Proceedings of the Bioinformatics and Biomedical Engineering, 2022

Epilepsy Seizure Detection Using Low-Cost IoT Devices and a Federated Machine Learning Algorithm.
Proceedings of the Ambient Intelligence - Software and Applications, 2022

Detection of Unconsciousness in Falls Using Thermal Vision Sensors.
Proceedings of the ICR'22 International Conference on Innovations in Computing Research, 2022

On Optimizing the Structure of Neural Networks Through a Compact Codification of Their Architecture.
Proceedings of the Metaheuristics - 14th International Conference, 2022

2021
DOLARS, a Distributed On-Line Activity Recognition System by Means of Heterogeneous Sensors in Real-Life Deployments - A Case Study in the Smart Lab of The University of Almería.
Sensors, 2021

2020
Deployment of an IoT Platform for Activity Recognition at the UAL's Smart Home.
Proceedings of the Ambient Intelligence - Software and Applications, 2020


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