A machine-learned ranking algorithm for dynamic and personalised car pooling services. - Mattia Giovanni Campana; Franca Delmastro; Raffaele Bruno 001 (ITSC, 2016)

PLIERS: a popularity-based recommender system for content dissemination in online social networks. - Valerio Arnaboldi; Mattia Giovanni Campana; Franca Delmastro; Elena Pagani (SAC, 2016)

Context-Aware Configuration and Management of WiFi Direct Groups for Real Opportunistic Networks. - Valerio Arnaboldi; Mattia Giovanni Campana; Franca Delmastro (MASS, 2017)

Recommender Systems for Online and Mobile Social Networks: A survey. - Mattia Giovanni Campana; Franca Delmastro (Online Soc. Networks Media, 2017)

A personalized recommender system for pervasive social networks. - Valerio Arnaboldi; Mattia Giovanni Campana; Franca Delmastro; Elena Pagani (Pervasive Mob. Comput., 2017)

Lightweight Modeling of User Context Combining Physical and Virtual Sensor Data. - Mattia Giovanni Campana; Dimitris Chatzopoulos; Franca Delmastro; Pan Hui 001 (UbiComp/ISWC Adjunct, 2018)

Context-Aware Recommender Systems for Opportunistic Environments. - Mattia Giovanni Campana (2019)

COMPASS: Unsupervised and online clustering of complex human activities from smartphone sensors. - Mattia Giovanni Campana; Franca Delmastro (Expert Syst. Appl., 2021)

MyDigitalFootprint: An extensive context dataset for pervasive computing applications at the edge. - Mattia Giovanni Campana; Franca Delmastro (Pervasive Mob. Comput., 2021)

L3-Net Deep Audio Embeddings to Improve COVID-19 Detection from Smartphone Data. - Mattia Giovanni Campana; Andrea Rovati; Franca Delmastro; Elena Pagani (SMARTCOMP, 2022)

L3-Net Deep Audio Embeddings to Improve COVID-19 Detection from Smartphone Data. - Mattia Giovanni Campana; Andrea Rovati; Franca Delmastro; Elena Pagani (CoRR, 2022)

On-device modeling of user's social context and familiar places from smartphone-embedded sensor data. - Mattia Giovanni Campana; Franca Delmastro (J. Netw. Comput. Appl., 2022)

AI-empowered m-health systems for Personalised Services and Digital Phenotyping. - Franca Delmastro; Flavio Di Martino; Mattia Giovanni Campana (Ital-IA, 2023)

ContextLabeler Dataset: physical and virtual sensors data collected from smartphone usage in-the-wild. - Mattia Giovanni Campana; Franca Delmastro (CoRR, 2023)

Transfer learning for the efficient detection of COVID-19 from smartphone audio data. - Mattia Giovanni Campana; Franca Delmastro; Elena Pagani (Pervasive Mob. Comput., 2023)

Message from the DM-SmartHealth 2024 Co-Chairs; SMARTCOMP 2024. - Mattia Giovanni Campana; Nikil D. Dutt (SMARTCOMP, 2024)

FedSub: Introducing class-aware Subnetworks Fusion to Enhance Personalized Federated Learning in Ubiquitous Systems. - Mattia Giovanni Campana; Franca Delmastro (CoRR, 2024)

A Transfer Learning and Explainable Solution to Detect mpox from Smartphones images. - Mattia Giovanni Campana; Marco Colussi; Franca Delmastro; Sergio Mascetti; Elena Pagani (Pervasive Mob. Comput., 2024)