| Voice disorder identification by using machine learning techniques L Verde, G De Pietro, G Sannino IEEE access 6, 16246-16255, 2018 | 141 | 2018 |
| Exploring the use of artificial intelligence techniques to detect the presence of coronavirus covid-19 through speech and voice analysis L Verde, G De Pietro, A Ghoneim, M Alrashoud, KN Al-Mutib, G Sannino Ieee Access 9, 65750-65757, 2021 | 70 | 2021 |
| A new database of healthy and pathological voices U Cesari, G De Pietro, E Marciano, C Niri, G Sannino, L Verde Computers & Electrical Engineering 68, 310-321, 2018 | 68 | 2018 |
| Leveraging artificial intelligence to improve voice disorder identification through the use of a reliable mobile app L Verde, G De Pietro, M Alrashoud, A Ghoneim, KN Al-Mutib, G Sannino IEEE Access 7, 124048-124054, 2019 | 36 | 2019 |
| A methodology for voice classification based on the personalized fundamental frequency estimation L Verde, G De Pietro, G Sannino Biomedical Signal Processing and Control 42, 134-144, 2018 | 35 | 2018 |
| Voice disorder detection via an m‐health system: design and results of a clinical study to evaluate Vox4Health U Cesari, G De Pietro, E Marciano, C Niri, G Sannino, L Verde BioMed research international 2018 (1), 8193694, 2018 | 35 | 2018 |
| A real-time m-health monitoring system: An integrated solution combining the use of several wearable sensors and mobile devices S Naddeo, L Verde, M Forastiere, G De Pietro, G Sannino Special Session on Smart Medical Devices-From Lab to Clinical Practice 6 …, 2017 | 34 | 2017 |
| Dysphonia detection index (DDI): A new multi-parametric marker to evaluate voice quality L Verde, G De Pietro, M Alrashoud, A Ghoneim, KN Al-Mutib, G Sannino IEEE Access 7, 55689-55697, 2019 | 21 | 2019 |
| An m-health system for the estimation of voice disorders L Verde, G De Pietro, P Veltri, G Sannino 2015 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 1-6, 2015 | 21 | 2015 |
| Artificial intelligence techniques for the non-invasive detection of COVID-19 through the analysis of voice signals L Verde, G De Pietro, G Sannino Arabian Journal for Science and Engineering 48 (8), 11143-11153, 2023 | 19 | 2023 |
| A neural network approach to classify carotid disorders from heart rate variability analysis L Verde, G De Pietro Computers in biology and medicine 109, 226-234, 2019 | 19 | 2019 |
| Exploring data and model poisoning attacks to deep learning-based NLP systems F Marulli, L Verde, L Campanile Procedia Computer Science 192, 3570-3579, 2021 | 17 | 2021 |
| Healthcare systems: an overview of the most important aspects of current and future m-health applications G Sannino, G De Pietro, L Verde Connected health in smart cities, 213-231, 2020 | 15 | 2020 |
| A deep learning approach for voice disorder detection for smart connected living environments L Verde, N Brancati, G De Pietro, M Frucci, G Sannino ACM Transactions on Internet Technology (TOIT) 22 (1), 1-16, 2021 | 14 | 2021 |
| A lightweight machine learning approach to detect depression from speech analysis L Verde, G Raimo, F Vitale, B Carbonaro, G Cordasco, S Marrone, ... 2021 IEEE 33rd international conference on tools with artificial …, 2021 | 13 | 2021 |
| Evaluating efficiency and effectiveness of federated learning approaches in knowledge extraction tasks F Marulli, L Verde, S Marrone, R Barone, MS De Biase 2021 International Joint Conference on Neural Networks (IJCNN), 1-6, 2021 | 13 | 2021 |
| Exploring the impact of data poisoning attacks on machine learning model reliability L Verde, F Marulli, S Marrone Procedia Computer Science 192, 2624-2632, 2021 | 10 | 2021 |
| A Machine Learning Approach for Carotid Diseases using Heart Rate Variability Features. L Verde, G De Pietro HEALTHINF, 658-664, 2018 | 9 | 2018 |
| Vox4Health: Preliminary results of a pilot study for the evaluation of a mobile voice screening application L Verde, G De Pietro, G Sannino Ambient Intelligence-Software and Applications–7th International Symposium …, 2016 | 8 | 2016 |
| CNN-based classification of phonocardiograms using fractal techniques D Riccio, N Brancati, G Sannino, L Verde, M Frucci Biomedical Signal Processing and Control 86, 105186, 2023 | 6 | 2023 |
