Giovanna Sannino
Giovanna Sannino
Senior Researcher, ICAR - CNR
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Citata da
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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
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
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
Voice disorder identification by using machine learning techniques
L Verde, G De Pietro, G Sannino
IEEE access 6, 16246-16255, 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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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