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cs.LG2025
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…
cs.SE2025
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…
cs.LG2025
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…