Giovanni Paragliola

51 papers B 5C 4Misc 1Journal 22Unranked 19
YearRankTypeTitle / Venue / Authors
2026 J jnl
Haptic Teleoperation in Extended Reality for Electric Vehicle Battery Disassembly Using Gaussian Mixture Regression.
J. Field Robotics
Alireza Rastegarpanah, Carmelo Mineo, Cesar Alan Contreras, Abdelaziz Shaarawy, Giovanni Paragliola, Rustam Stolkin
2025 — conf
Longitudinal Analysis of Disease Progression in the Elderly: An Approach to Mitigate the Burden of Frailty, Functional and Cognitive Decline.
BIOSTEC (2): HEALTHINF
Patrizia Ribino, Giovanni Paragliola, Claudia Di Napoli, Luca Serino, Davide Chicco, Francesca Gasparini
2025 J jnl
Multivariate longitudinal clustering reveals neuropsychological factors as dementia predictors in an Alzheimer's disease progression study.
BioData Min.
Patrizia Ribino, Claudia Di Napoli, Giovanni Paragliola, Davide Chicco, Francesca Gasparini
2025 J jnl
Temporal phenotyping and prognostic stratification of patients with sepsis through longitudinal clustering.
BioData Min.
Patrizia Ribino, Maria Mannone, Claudia Di Napoli, Giovanni Paragliola, Davide Chicco, Francesca Gasparini
2024 C conf
A Federated K-Means-Based Approach in eHealth Domains with Heterogeneous Data Distributions.
IJCCI
Giovanni Paragliola, Patrizia Ribino, Maria Mannone
2024 — conf
Analyzing Trajectories of Clinical Markers in Patients with Sepsis Through Multivariate Longitudinal Clustering (Short Paper).
HC@AIxIA
Patrizia Ribino, Maria Mannone, Claudia Di Napoli, Giovanni Paragliola, Davide Chicco, Francesca Gasparini
2024 — conf
Clustering of longitudinal Clinical Dementia Rating data to identify predictors of Alzheimer's disease progression.
EUSPN/ICTH
Patrizia Ribino, Giovanni Paragliola, Claudia Di Napoli, Maria Mannone, Davide Chicco, Francesca Gasparini
2024 J jnl
Exploring heterogeneous data distribution issues in e-health federated systems.
Biomed. Signal Process. Control.
Giovanni Paragliola, Patrizia Ribino
2024 J jnl
Towards Personalized AI-Based Diabetes Therapy: A Review.
IEEE J. Biomed. Health Informatics
Sara Campanella, Giovanni Paragliola, Valentino Cherubini, Paola Pierleoni, Lorenzo Palma
2023 J jnl
A Federated Learning Approach to Support the Decision-Making Process for ICU Patients in a European Telemedicine Network.
J. Sens. Actuator Networks
Giovanni Paragliola, Patrizia Ribino, Zaib Ullah
2023 J jnl
A federated learning-based approach to recognize subjects at a high risk of hypertension in a non-stationary scenario.
Inf. Sci.
Giovanni Paragliola
2023 J jnl
An AI-empowered infrastructure for risk prevention during medical examination.
Expert Syst. Appl.
Syed Ihtesham Hussain Shah, Muddasar Naeem, Giovanni Paragliola, Antonio Coronato, Mykola Pechenizkiy
2023 — conf
Balancing Uneven Knowledge of Hospital Nodes for ICU Patients Diagnosis through Federated Learning.
Ital-IA
Giovanni Paragliola, Claudia Di Napoli, Patrizia Ribino, Luca Serino
2023 J jnl
Deep-Reinforcement-Learning-Based Planner for City Tours for Cruise Passengers.
Algorithms
Claudia Di Napoli, Giovanni Paragliola, Patrizia Ribino, Luca Serino
2023 — conf
Exploratory analysis of longitudinal data of patients with dementia through unsupervised techniques.
AIxAS@AI*IA
Patrizia Ribino, Claudia Di Napoli, Giovanni Paragliola, Luca Serino, Francesca Gasparini, Davide Chicco
2023 — conf
Hyper-Parameter Optimization through Reinforcement Learning for Survival Prediction of Patients with Heart Failure.
CENTERIS/ProjMAN/HCist
Patrizia Ribino, Claudia Di Napoli, Giovanni Paragliola, Luca Serino
2023 J jnl
Projection based inverse reinforcement learning for the analysis of dynamic treatment regimes.
Appl. Intell.
Syed Ihtesham Hussain Shah, Giuseppe De Pietro, Giovanni Paragliola, Antonio Coronato
2022 B conf
Application of Federated Learning Approaches for Time-Series Classification in eHealth Domain.
KES
Giovanni Paragliola
2022 J jnl
Definition of a novel federated learning approach to reduce communication costs.
Expert Syst. Appl.
Giovanni Paragliola, Antonio Coronato
2022 J jnl
Definition of an FHIR-based multiprotocol IoT home gateway to support the dynamic plug of new devices within instrumented environments.
J. Reliab. Intell. Environ.
Paolo Zampognaro, Giovanni Paragliola, Vincenzo Falanga
2022 J jnl
Evaluation of the trade-off between performance and communication costs in federated learning scenario.
Future Gener. Comput. Syst.
Giovanni Paragliola
2022 J jnl
Optimal User Scheduling in Multi Antenna System Using Multi Agent Reinforcement Learning.
Sensors
Muddasar Naeem, Antonio Coronato, Zaib Ullah, Sajid Bashir, Giovanni Paragliola
2021 C conf
A FHIR based architecture of a multiprotocol IoT Home Gateway supporting dynamic plug of new devices within instrumented environments.
ISCC
Paolo Zampognaro, Giovanni Paragliola, Vincenzo Falanga
2021 J jnl
A reinforcement learning and deep learning based intelligent system for the support of impaired patients in home treatment.
Expert Syst. Appl.
Muddasar Naeem, Giovanni Paragliola, Antonio Coronato
2021 J jnl
An hybrid ECG-based deep network for the early identification of high-risk to major cardiovascular events for hypertension patients.
J. Biomed. Informatics
Giovanni Paragliola, Antonio Coronato
2021 B conf
Intelligent Planning of Onshore Touristic Itineraries for Cruise Passengers in a Smart City.
Intelligent Environments
Antonio Coronato, Claudia Di Napoli, Giovanni Paragliola, Luca Serino
2020 — conf
A CNN based monitoring system to minimize medication errors during treatment process at home.
APPIS
Muddasar Naeem, Giovanni Paragliola, Antonio Coronato, Giuseppe De Pietro
2020 — conf
A Deep Learning-Based Approach for the Classification of Gait Dynamics in Subjects with a Neurodegenerative Disease.
IntelliSys (3)
Giovanni Paragliola, Antonio Coronato
2020 C conf
A Reinforcement Learning and IoT based System to Assist Patients with Disabilities.
IoTBDS
Muddasar Naeem, Antonio Coronato, Giovanni Paragliola, Giuseppe De Pietro
2020 J jnl
Reinforcement learning for intelligent healthcare applications: A survey.
Artif. Intell. Medicine
Antonio Coronato, Muddasar Naeem, Giuseppe De Pietro, Giovanni Paragliola
2019 — conf
Adaptive Treatment Assisting System for Patients Using Machine Learning.
SNAMS
Muddasar Naeem, Antonio Coronato, Giovanni Paragliola
2019 J jnl
Risk management for nuclear medical department using reinforcement learning algorithms.
J. Reliab. Intell. Environ.
Giovanni Paragliola, Muddasar Naeem
2018 C conf
A Deep Gait Classification Approach for an Early Recognition of Huntington Diseases.
SoMeT
Giovanni Paragliola, Antonio Coronato
2018 — conf
A Reinforcement Learning-Based Approach for the Risk Management of e-Health Environments: A Case Study.
SITIS
Giovanni Paragliola, Antonio Coronato, Muddasar Naeem, Giuseppe De Pietro
2018 B conf
A Reinforcement-Learning-Based Approach for the Planning of Safety Strategies in AAL Applications.
Intelligent Environments (Workshops)
Giovanni Paragliola, Antonio Coronato
2018 J jnl
Gait Anomaly Detection of Subjects With Parkinson's Disease Using a Deep Time Series-Based Approach.
IEEE Access
Giovanni Paragliola, Antonio Coronato
2017 — conf
A Deep Learning-Based Approach for the Recognition of Sleep Disorders in Patients with Cognitive Diseases: A Case Study.
FedCSIS (Position Papers)
Giovanni Paragliola, Antonio Coronato
2017 J jnl
A structured approach for the designing of safe AAL applications.
Expert Syst. Appl.
Antonio Coronato, Giovanni Paragliola
2017 — conf
Towards a Cognitive System for the Identification of Sleep Disorders.
IIMSS
Antonio Coronato, Giovanni Paragliola
2016 — conf
An Approach for the Evaluation of Sleeping Behaviors Disorders in Patients with Cognitive Diseases: A Case Study.
SITIS
Antonio Coronato, Giovanni Paragliola
2016 — conf
Towards a coaching system for daily living activities: the use of kitchen objects and devices for cognitive impaired people.
3PGCIC
Alba Amato, Antonio Coronato, Giovanni Paragliola
2015 J jnl
An anomolous situation detection system for cognitive impaired people.
Comput. Syst. Sci. Eng.
Antonio Coronato, Giovanni Paragliola
2014 J jnl
A situation-aware system for the detection of motion disorders of patients with Autism Spectrum Disorders.
Expert Syst. Appl.
Antonio Coronato, Giuseppe De Pietro, Giovanni Paragliola
2014 Misc conf
An Hybrid Architecture to Enhance Attacks Detection on IT infrastructure.
IDC
Mario Sicuranza, Giovanni Paragliola, Cesario Di Sarno, Alessia Garofalo
2014 — conf
Towards a Personal Health Records system for patients with Autism Spectrum Disorders.
CICARE
Antonio Coronato, Giovanni Paragliola
2013 — conf
A Monitoring System enhanced by means of Situation-Awareness for Cognitive Impaired People.
BODYNETS
Antonio Coronato, Giuseppe De Pietro, Giovanni Paragliola
2013 — conf
A Safe Kitchen for Cognitive Impaired People.
UCAmI
Antonio Coronato, Giovanni Paragliola
2013 B conf
Addressing Security Issues of Electronic Health Record Systems through Enhanced SIEM Technology.
ARES
Cesario Di Sarno, Valerio Formicola, Mario Sicuranza, Giovanni Paragliola
2013 — conf
An Intelligent Monitoring System for Cognitive Impaired People.
UIC/ATC
Antonio Coronato, Giovanni Paragliola
2013 — conf
Evaluation of ALTO-enhanced request routing for CDN interconnection.
ICC
Mayutan Arumaithurai, Jan Seedorf, Giovanni Paragliola, Marcin Pilarski, Saverio Niccolini
2013 B conf
Intelligent Monitoring of Stereotyped Motion Disorders in Case of Children with Autism.
Intelligent Environments
Giovanni Paragliola, Antonio Coronato