activity
20222026
most citedRecommender Systems for Online and Mobile Social Networks: A survey

67 citations · 142 across the 14 of their papers we have counts for

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Showing cs.LGShow all

6 papers · 1 filter

cs.LG2026

Longitudinal Multimodal Sensing of Physical Activity and Well-Being in Older Adults

Flavio Di Martino, Mattia G. Campana, Marcello Magno +2

Wearable and mobile sensing technologies enable continuous monitoring of human behavior and health in real-world settings. However, predictive modeling in longitudinal multimodal d…

cs.LG2024

FedSub: Introducing Class-aware Subnetworks Fusion to Enhance Personalized Federated Learning

Mattia Giovanni Campana, Franca Delmastro

Personalized Federated Learning aims at addressing the challenges of non-IID data in collaborative model training. However, existing methods struggle to balance personalization and…

cs.LG2023★ 6 cited

Lightweight Modeling of User Context Combining Physical and Virtual Sensor Data

Mattia Giovanni Campana, Dimitris Chatzopoulos, Franca Delmastro +1

The multitude of data generated by sensors available on users' mobile devices, combined with advances in machine learning techniques, support context-aware services in recognizing…

cs.LG2023★ 5 cited

MyDigitalFootprint: an extensive context dataset for pervasive computing applications at the edge

Mattia Giovanni Campana, Franca Delmastro

The widespread diffusion of connected smart devices has contributed to the rapid expansion and evolution of the Internet at its edge. Personal mobile devices interact with other sm…

cs.LG2023★ 4 cited

COMPASS: Unsupervised and Online Clustering of Complex Human Activities from Smartphone Sensors

Mattia Giovanni Campana, Franca Delmastro

Modern mobile devices are able to provide context-aware and personalized services to the users, by leveraging on their sensing capabilities to infer the activity and situation in w…

cs.LG2022★ 8 cited

On-device modeling of user's social context and familiar places from smartphone-embedded sensor data

Mattia Giovanni Campana, Franca Delmastro

Context modeling and recognition represent complex tasks that allow mobile and ubiquitous computing applications to adapt to the user's situation. Current solutions mainly focus on…