| A deep learning approach for ECG-based heartbeat classification for arrhythmia detection G Sannino, G De Pietro Future Generation Computer Systems 86, 446-455, 2018 | 515 | 2018 |
| A comprehensive investigation and comparison of machine learning techniques in the domain of heart disease S Pouriyeh, S Vahid, G Sannino, G De Pietro, H Arabnia, J Gutierrez 2017 IEEE symposium on computers and communications (ISCC), 204-207, 2017 | 356 | 2017 |
| Human action recognition using attention based LSTM network with dilated CNN features K Muhammad, A Ullah, AS Imran, M Sajjad, MS Kiran, G Sannino, ... Future Generation Computer Systems 125, 820-830, 2021 | 227 | 2021 |
| Voice disorder identification by using machine learning techniques L Verde, G De Pietro, G Sannino IEEE access 6, 16246-16255, 2018 | 165 | 2018 |
| Cost-effective video summarization using deep CNN with hierarchical weighted fusion for IoT surveillance networks K Muhammad, T Hussain, M Tanveer, G Sannino, VHC De Albuquerque IEEE Internet of Things Journal 7 (5), 4455-4463, 2019 | 112 | 2019 |
| 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 | 84 | 2021 |
| A revised scheme for real time ecg signal denoising based on recursive filtering S Cuomo, G De Pietro, R Farina, A Galletti, G Sannino Biomedical Signal Processing and Control 27, 134-144, 2016 | 81 | 2016 |
| 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 | 80 | 2018 |
| A supervised approach to automatically extract a set of rules to support fall detection in an mHealth system G Sannino, I De Falco, G De Pietro Applied Soft Computing 34, 205-216, 2015 | 63 | 2015 |
| Wearable technology and ECG processing for fall risk assessment, prevention and detection P Melillo, R Castaldo, G Sannino, A Orrico, G De Pietro, L Pecchia 2015 37th Annual International Conference of the IEEE Engineering in …, 2015 | 59 | 2015 |
| An automatic rules extraction approach to support osa events detection in an mhealth system G Sannino, I De Falco, G De Pietro IEEE journal of biomedical and health informatics 18 (5), 1518-1524, 2014 | 52 | 2014 |
| A rule-based mHealth system for cardiac monitoring A Minutolo, G Sannino, M Esposito, G De Pietro 2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES …, 2010 | 49 | 2010 |
| A continuous noninvasive arterial pressure (CNAP) approach for health 4.0 systems G Sannino, I De Falco, G De Pietro IEEE Transactions on Industrial Informatics 15 (1), 498-506, 2018 | 47 | 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 | 46 | 2019 |
| Monitoring obstructive sleep apnea by means of a real-time mobile system based on the automatic extraction of sets of rules through differential evolution G Sannino, I De Falco, G De Pietro Journal of biomedical informatics 49, 84-100, 2014 | 46 | 2014 |
| 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 | 42 | 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 | 41 | 2017 |
| A novel O (n) numerical scheme for ECG signal denoising S Cuomo, G De Pietro, R Farina, A Galletti, G Sannino Procedia Computer Science 51, 775-784, 2015 | 40 | 2015 |
| 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 |
| Evolution-based configuration optimization of a deep neural network for the classification of obstructive sleep apnea episodes I De Falco, G De Pietro, A Della Cioppa, G Sannino, U Scafuri, ... Future Generation Computer Systems 98, 377-391, 2019 | 30 | 2019 |
Ivanoe De FalcoResearch Director, ICAR - CNRVerified email at icar.cnr.it