| Unsupervised On-Line Selection of Training Features for a robust classification with drifting and faulty gas sensors G Magna, F Mosciano, E Martinelli, C Di Natale Sensors and Actuators B: Chemical 258, 1242-1251, 2018 | 23 | 2018 |
| An array of physical sensors and an adaptive regression strategy for emotion recognition in a noisy scenario F Mosciano, A Mencattini, F Ringeval, B Schuller, E Martinelli, C Di Natale Sensors and Actuators A: Physical 267, 48-59, 2017 | 13 | 2017 |
| An emotional modulation model as signature for the identification of children developmental disorders A Mencattini, F Mosciano, MC Comes, T Di Gregorio, G Raguso, E Daprati, ... Scientific reports 8 (1), 14487, 2018 | 12 | 2018 |
| Room temperature CO detection by hybrid porphyrin-ZnO nanoparticles F Mosciano, G Magna, A Catini, G Pomarico, E Martinelli, R Paolesse, ... Procedia Engineering 120, 71-74, 2015 | 9 | 2015 |
| An on-line reconfigurable classification algorithm improves the long-term stability of gas sensor arrays In case of faulty and drifting sensors G Magna, F Mosciano, E Martinelli, C Di Natale Procedia engineering 120, 249-252, 2015 | 4 | 2015 |
| A novel automatic method to determine blood pressure based on thresholds of audibility G Saggio, M Tiberti, A Leggieri, G Amicucci, M Maola, M Mazzotta, ... British Journal of Applied Science & Technology 7 (4), 364-371, 2015 | 3 | 2015 |
| The gas sensing properties of one-pot prepared porphyrin-ZnO nanoparticles F Mosciano, G Magna, E Martinelli, C Di Natale, G Pomarico, R Paolesse 2015 IEEE 15th International Conference on Nanotechnology (IEEE-NANO), 694-697, 2015 | 1 | 2015 |
| ENVIRONMENT MONITORING SYSTEM, IN PARTICULAR FOR A WATERING SYSTEM F Mosciano, S Di Domenico IT Patent 102,017,000,143,192, 2020 | | 2020 |
