| On the personalization of classification models for human activity recognition A Ferrari, D Micucci, M Mobilio, P Napoletano IEEE Access 8, 32066-32079, 2020 | 15 | 2020 |
| Hand-crafted features vs residual networks for human activities recognition using accelerometer A Ferrari, D Micucci, M Mobilio, P Napoletano 2019 IEEE 23rd International Symposium on Consumer Technologies (ISCT), 153-156, 2019 | 7 | 2019 |
| On the homogenization of heterogeneous inertial-based databases for human activity recognition A Ferrari, M Mobilio, D Micucci, P Napoletano 2019 IEEE World Congress on Services (SERVICES) 2642, 295-300, 2019 | 6 | 2019 |
| Human activities recognition using accelerometer and gyroscope A Ferrari, D Micucci, M Mobilio, P Napoletano European Conference on Ambient Intelligence, 357-362, 2019 | 4 | 2019 |
| A Framework for Long-Term Data Collection to Support Automatic Human Activity Recognition. A Ferrari, D Micucci, M Mobilio, P Napoletano Intelligent Environments (Workshops), 367-376, 2019 | 4 | 2019 |
| Personalization in Human Activity Recognition A Ferrari, D Micucci, M Mobilio, P Napoletano arXiv preprint arXiv:2009.00268, 2020 | | 2020 |
| A Platform to Collect, Unify, and Distribute Inertial Labeled Signals for Human Activity Recognition A Ferrari, D Micucci, M Mobilio, P Napoletano arXiv preprint arXiv:1905.12555, 2019 | | 2019 |
| La Scienza dei Dati C Batini, F Cabitza, P Cherubini, A Ferrari, A Maurino, R Masiero, ... | | |
| Deep Learning Analysis on Wearable Devices A Ferrari, D Micucci, M Mobilio, P Napoletano, S Vallecorsa | | |
