Developing, Deploying and Evaluating Protocols with ManetLab. - François Vessaz; Benoît Garbinato; Arielle Moro; Adrian Holzer (NETYS, 2013)

A System-Level Architecture for Fine-Grained Privacy Control in Location-Based Services. - Arielle Moro; Benoît Garbinato (EDCC, 2016)

Capturing complex behaviour for predicting distant future trajectories. - Bertil Chapuis; Arielle Moro; Vaibhav Kulkarni; Benoît Garbinato (MobiGIS, 2016)

MobiDict: a mobility prediction system leveraging realtime location data streams. - Vaibhav Kulkarni; Arielle Moro; Benoît Garbinato (IWGS@SIGSPATIAL, 2016)

A mobility prediction system leveraging realtime location data streams: poster. - Vaibhav Kulkarni; Arielle Moro; Benoît Garbinato (MobiCom, 2016)

Extracting Hotspots without A-priori by Enabling Signal Processing over Geospatial Data. - Vaibhav Kulkarni; Arielle Moro; Bertil Chapuis; Benoît Garbinato (SIGSPATIAL/GIS, 2017)

A Location Privacy Estimator Based on Spatio-Temporal Location Uncertainties. - Arielle Moro; Benoît Garbinato (NETYS, 2017)

ResPred: A Privacy Preserving Location Prediction System Ensuring Location-based Service Utility. - Arielle Moro; Benoît Garbinato (GISTAM, 2018)

What Are You Willing to Sacrifice to Protect Your Privacy When Using a Location-Based Service? - Arielle Moro; Benoît Garbinato (GISTAM (Selected Papers), 2018)

Capstone: Mobility Modeling on Smartphones to Achieve Privacy by Design. - Vaibhav Kulkarni; Arielle Moro; Bertil Chapuis; Benoît Garbinato (TrustCom/BigDataSE, 2018)

Discovering demographic data of users from the evolution of their spatio-temporal entropy. - Arielle Moro; Benoît Garbinato; Valérie Chavez-Demoulin (CoRR, 2018)

Breadcrumbs: A Rich Mobility Dataset with Point-of-Interest Annotations. - Arielle Moro; Vaibhav Kulkarni; Pierre-Adrien Ghiringhelli; Bertil Chapuis; Kévin Huguenin; Benoît Garbinato (SIGSPATIAL/GIS, 2019)

Supporting Green IS through a Framework Predicting Consumption Sustainability Levels of Individuals. - Arielle Moro; Adrian Holzer (ICIS, 2019)

Analyzing privacy-aware mobility behavior using the evolution of spatio-temporal entropy. - Arielle Moro; Benoît Garbinato; Valérie Chavez-Demoulin (CoRR, 2019)

Breadcrumbs: A Feature Rich Mobility Dataset with Point of Interest Annotation. - Arielle Moro; Vaibhav Kulkarni; Pierre-Adrien Ghiringhelli; Bertil Chapuis; Benoît Garbinato (CoRR, 2019)

Bringing Computational Thinking to non-STEM Undergraduates through an Integrated Notebook Application. - Juan Carlos Farah; Arielle Moro; Kristoffer Bergram; Aditya Kumar Purohit; Denis Gillet; Adrian Holzer (EC-TEL (Impact Papers), 2020)

From Digital Community Engagement to Smoking Cessation: Insights from the Reddit r/StopSmoking Thread. - Alessio De Santo; Arielle Moro; Bruno Kocher; Adrian Holzer (HICSS, 2021)

Promoting Computational Thinking Skills in Non-Computer-Science Students: Gamifying Computational Notebooks to Increase Student Engagement. - Alessio De Santo; Juan Carlos Farah; Marc Lafuente Martínez; Arielle Moro; Kristoffer Bergram; Aditya Kumar Purohit; Pascal Felber; Denis Gillet; Adrian Holzer (IEEE Trans. Learn. Technol., 2022)

Helping Each Other Quit Online: Understanding User Engagement and Real-life Outcomes of the r/StopSmoking Digital Smoking Cessation Community. - Alessio De Santo; Arielle Moro; Bruno Kocher; Adrian Holzer (ACM Trans. Soc. Comput., 2023)