307 citations · 1.8k across the 57 of their papers we have counts for
8 papers · 1 filter
Towards Deep Learning Models for Psychological State Prediction using Smartphone Data: Challenges and Opportunities
Gatis Mikelsons, Matthew Smith, Abhinav Mehrotra +1
There is an increasing interest in exploiting mobile sensing technologies and machine learning techniques for mental health monitoring and intervention. Researchers have effectivel…
Interpretable Machine Learning for Privacy-Preserving Pervasive Systems
Benjamin Baron, Mirco Musolesi
Our everyday interactions with pervasive systems generate traces that capture various aspects of human behavior and enable machine learning algorithms to extract latent information…
Linking Twitter Events With Stock Market Jitters
Fani Tsapeli, Nikolaos Bezirgiannidis, Peter Tino +1
Predicting investors reactions to financial and political news is important for the early detection of stock market jitters. Evidence from several recent studies suggests that onli…
A Comparison of Spatial-based Targeted Disease Containment Strategies using Mobile Phone Data
Stefania Rubrichi, Zbigniew Smoreda, Mirco Musolesi
Epidemic outbreaks are an important healthcare challenge, especially in developing countries where they represent one of the major causes of mortality. Approaches that can rapidly…
Probabilistic Matching: Causal Inference under Measurement Errors
Fani Tsapeli, Peter Tino, Mirco Musolesi
The abundance of data produced daily from large variety of sources has boosted the need of novel approaches on causal inference analysis from observational data. Observational data…
Tracing Networks of Knowledge in the Digital Age
Mirco Musolesi
The emergence of new digital technologies has allowed the study of human behaviour at a scale and at level of granularity that were unthinkable just a decade ago. In particular, by…