4 papers
Parameter-Efficient Fine-Tuning for HAR: Integrating LoRA and QLoRA into Transformer Models
Irina Seregina, Philippe Lalanda, German Vega
Human Activity Recognition is a foundational task in pervasive computing. While recent advances in self-supervised learning and transformer-based architectures have significantly i…
Quantifying Uncertainty in Machine Learning-Based Pervasive Systems: Application to Human Activity Recognition
Vladimir Balditsyn, Philippe Lalanda, German Vega +1
The recent convergence of pervasive computing and machine learning has given rise to numerous services, impacting almost all areas of economic and social activity. However, the use…
TaskVAE: Task-Specific Variational Autoencoders for Exemplar Generation in Continual Learning for Human Activity Recognition
Bonpagna Kann, Sandra Castellanos-Paez, Romain Rombourg +1
As machine learning based systems become more integrated into daily life, they unlock new opportunities but face the challenge of adapting to dynamic data environments. Various for…
Microservice-based edge platform for AI services
Philippe Lalanda, German Vega, Denis Morand
Pervasive computing promotes the integration of smart electronic devices in our living and working spaces to provide advanced services. Recently, two major evolutions are changing…