13 citations · 47 across the 10 of their papers we have counts for
10 papers
Combining Public Human Activity Recognition Datasets to Mitigate Labeled Data Scarcity
Riccardo Presotto, Sannara Ek, Gabriele Civitarese +3
The use of supervised learning for Human Activity Recognition (HAR) on mobile devices leads to strong classification performances. Such an approach, however, requires large amounts…
Neuro-Symbolic Approaches for Context-Aware Human Activity Recognition
Luca Arrotta, Gabriele Civitarese, Claudio Bettini
Deep Learning models are a standard solution for sensor-based Human Activity Recognition (HAR), but their deployment is often limited by labeled data scarcity and models' opacity.…
SelfAct: Personalized Activity Recognition based on Self-Supervised and Active Learning
Luca Arrotta, Gabriele Civitarese, Samuele Valente +1
Supervised Deep Learning (DL) models are currently the leading approach for sensor-based Human Activity Recognition (HAR) on wearable and mobile devices. However, training them req…
Ultrasound Detection of Subquadricipital Recess Distension
Marco Colussi, Gabriele Civitarese, Dragan Ahmetovic +4
Joint bleeding is a common condition for people with hemophilia and, if untreated, can result in hemophilic arthropathy. Ultrasound imaging has recently emerged as an effective too…
Context-driven Active and Incremental Activity Recognition
Gabriele Civitarese, Riccardo Presotto, Claudio Bettini
Human activity recognition based on mobile device sensor data has been an active research area in mobile and pervasive computing for several years. While the majority of the propos…
Extended Report: Fine-grained Recognition of Abnormal Behaviors for Early Detection of Mild Cognitive Impairment
Daniele Riboni, Claudio Bettini, Gabriele Civitarese +2
According to the World Health Organization, the rate of people aged 60 or more is growing faster than any other age group in almost every country, and this trend is not going to ch…