giuseppe de pietro
giuseppe de pietro
Director, ICAR CNR
Verified email at - Homepage
Cited by
Cited by
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
Virtual reality as a distraction intervention to relieve pain and distress during medical procedures: a comprehensive literature review
P Indovina, D Barone, L Gallo, A Chirico, G De Pietro, A Giordano
The Clinical journal of pain 34 (9), 858-877, 2018
Reinforcement learning for intelligent healthcare applications: A survey
A Coronato, M Naeem, G De Pietro, G Paragliola
Artificial Intelligence in Medicine 109, 101964, 2020
Virtual reality and music therapy as distraction interventions to alleviate anxiety and improve mood states in breast cancer patients during chemotherapy
A Chirico, P Maiorano, P Indovina, C Milanese, GG Giordano, F Alivernini, ...
Journal of cellular physiology 235 (6), 5353-5362, 2020
Deep neural network for hierarchical extreme multi-label text classification
F Gargiulo, S Silvestri, M Ciampi, G De Pietro
Applied Soft Computing 79, 125-138, 2019
Voice disorder identification by using machine learning techniques
L Verde, G De Pietro, G Sannino
IEEE access 6, 16246-16255, 2018
Hybrid query expansion using lexical resources and word embeddings for sentence retrieval in question answering
M Esposito, E Damiano, A Minutolo, G De Pietro, H Fujita
Information Sciences 514, 88-105, 2020
3D interaction with volumetric medical data: experiencing the Wiimote
L Gallo, G De Pietro, I Marra
1st International ICST Conference on Ambient Media and Systems, 2010
Hierarchical graph representations in digital pathology
P Pati, G Jaume, A Foncubierta-Rodriguez, F Feroce, AM Anniciello, ...
Medical image analysis 75, 102264, 2022
A deep learning approach for breast invasive ductal carcinoma detection and lymphoma multi-classification in histological images
N Brancati, G De Pietro, M Frucci, D Riccio
IEEE Access 7, 44709-44720, 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
Hact-net: A hierarchical cell-to-tissue graph neural network for histopathological image classification
P Pati, G Jaume, LA Fernandes, A Foncubierta-Rodríguez, F Feroce, ...
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and …, 2020
A smart mobile, self-configuring, context-aware architecture for personal health monitoring
M Esposito, A Minutolo, R Megna, M Forastiere, M Magliulo, G De Pietro
Engineering Applications of Artificial Intelligence 67, 136-156, 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
Crosslingual named entity recognition for clinical de-identification applied to a COVID-19 Italian data set
R Catelli, F Gargiulo, V Casola, G De Pietro, H Fujita, M Esposito
Applied soft computing 97, 106779, 2020
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
Bracs: A dataset for breast carcinoma subtyping in h&e histology images
N Brancati, AM Anniciello, P Pati, D Riccio, G Scognamiglio, G Jaume, ...
Database 2022, baac093, 2022
Multilingual POS tagging by a composite deep architecture based on character-level features and on-the-fly enriched word embeddings
M Pota, F Marulli, M Esposito, G De Pietro, H Fujita
Knowledge-Based Systems 164, 309-323, 2019
Designing rule-based fuzzy systems for classification in medicine
M Pota, M Esposito, G De Pietro
Knowledge-Based Systems 124, 105-132, 2017
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