Giovanni Paragliola

Orcid: 0000-0003-3580-9232

According to our database1, Giovanni Paragliola authored at least 43 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Exploring heterogeneous data distribution issues in e-health federated systems.
Biomed. Signal Process. Control., 2024

2023
A Federated Learning Approach to Support the Decision-Making Process for ICU Patients in a European Telemedicine Network.
J. Sens. Actuator Networks, December, 2023

An AI-empowered infrastructure for risk prevention during medical examination.
Expert Syst. Appl., September, 2023

Projection based inverse reinforcement learning for the analysis of dynamic treatment regimes.
Appl. Intell., June, 2023

A federated learning-based approach to recognize subjects at a high risk of hypertension in a non-stationary scenario.
Inf. Sci., April, 2023

Deep-Reinforcement-Learning-Based Planner for City Tours for Cruise Passengers.
Algorithms, 2023

Balancing Uneven Knowledge of Hospital Nodes for ICU Patients Diagnosis through Federated Learning.
Proceedings of the Italia Intelligenza Artificiale, 2023

Hyper-Parameter Optimization through Reinforcement Learning for Survival Prediction of Patients with Heart Failure.
Proceedings of the CENTERIS 2023 - International Conference on ENTERprise Information Systems / ProjMAN - International Conference on Project MANagement / HCist, 2023

Exploratory analysis of longitudinal data of patients with dementia through unsupervised techniques.
Proceedings of the 4th Italian Workshop on Artificial Intelligence for an Ageing Society co-located with 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2023), 2023

2022
Optimal User Scheduling in Multi Antenna System Using Multi Agent Reinforcement Learning.
Sensors, 2022

Definition of an FHIR-based multiprotocol IoT home gateway to support the dynamic plug of new devices within instrumented environments.
J. Reliab. Intell. Environ., 2022

Evaluation of the trade-off between performance and communication costs in federated learning scenario.
Future Gener. Comput. Syst., 2022

Definition of a novel federated learning approach to reduce communication costs.
Expert Syst. Appl., 2022

Application of Federated Learning Approaches for Time-Series Classification in eHealth Domain.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022

2021
An hybrid ECG-based deep network for the early identification of high-risk to major cardiovascular events for hypertension patients.
J. Biomed. Informatics, 2021

A reinforcement learning and deep learning based intelligent system for the support of impaired patients in home treatment.
Expert Syst. Appl., 2021

A FHIR based architecture of a multiprotocol IoT Home Gateway supporting dynamic plug of new devices within instrumented environments.
Proceedings of the IEEE Symposium on Computers and Communications, 2021

Intelligent Planning of Onshore Touristic Itineraries for Cruise Passengers in a Smart City.
Proceedings of the 17th International Conference on Intelligent Environments, 2021

2020
Reinforcement learning for intelligent healthcare applications: A survey.
Artif. Intell. Medicine, 2020

A Reinforcement Learning and IoT based System to Assist Patients with Disabilities.
Proceedings of the 5th International Conference on Internet of Things, 2020

A Deep Learning-Based Approach for the Classification of Gait Dynamics in Subjects with a Neurodegenerative Disease.
Proceedings of the Intelligent Systems and Applications, 2020

A CNN based monitoring system to minimize medication errors during treatment process at home.
Proceedings of the APPIS 2020: 3rd International Conference on Applications of Intelligent Systems, 2020

2019
Risk management for nuclear medical department using reinforcement learning algorithms.
J. Reliab. Intell. Environ., 2019

Adaptive Treatment Assisting System for Patients Using Machine Learning.
Proceedings of the Sixth International Conference on Social Networks Analysis, 2019

2018
Gait Anomaly Detection of Subjects With Parkinson's Disease Using a Deep Time Series-Based Approach.
IEEE Access, 2018

A Deep Gait Classification Approach for an Early Recognition of Huntington Diseases.
Proceedings of the New Trends in Intelligent Software Methodologies, Tools and Techniques, 2018

A Reinforcement Learning-Based Approach for the Risk Management of e-Health Environments: A Case Study.
Proceedings of the 14th International Conference on Signal-Image Technology & Internet-Based Systems, 2018

A Reinforcement-Learning-Based Approach for the Planning of Safety Strategies in AAL Applications.
Proceedings of the Intelligent Environments 2018, 2018

2017
A structured approach for the designing of safe AAL applications.
Expert Syst. Appl., 2017

Towards a Cognitive System for the Identification of Sleep Disorders.
Proceedings of the Intelligent Interactive Multimedia Systems and Services 2017, 2017

A Deep Learning-Based Approach for the Recognition of Sleep Disorders in Patients with Cognitive Diseases: A Case Study.
Proceedings of the Position Papers of the 2017 Federated Conference on Computer Science and Information Systems, 2017

2016
An Approach for the Evaluation of Sleeping Behaviors Disorders in Patients with Cognitive Diseases: A Case Study.
Proceedings of the 12th International Conference on Signal-Image Technology & Internet-Based Systems, 2016

Towards a coaching system for daily living activities: the use of kitchen objects and devices for cognitive impaired people.
Proceedings of the Advances on P2P, 2016

2015
An anomolous situation detection system for cognitive impaired people.
Comput. Syst. Sci. Eng., 2015

2014
A situation-aware system for the detection of motion disorders of patients with Autism Spectrum Disorders.
Expert Syst. Appl., 2014

An Hybrid Architecture to Enhance Attacks Detection on IT infrastructure.
Proceedings of the Intelligent Distributed Computing VIII, 2014

Towards a Personal Health Records system for patients with Autism Spectrum Disorders.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Healthcare and e-health, 2014

2013
An Intelligent Monitoring System for Cognitive Impaired People.
Proceedings of the 2013 IEEE 10th International Conference on Ubiquitous Intelligence and Computing and 2013 IEEE 10th International Conference on Autonomic and Trusted Computing, 2013

A Safe Kitchen for Cognitive Impaired People.
Proceedings of the Ubiquitous Computing and Ambient Intelligence. Context-Awareness and Context-Driven Interaction, 2013

Intelligent Monitoring of Stereotyped Motion Disorders in Case of Children with Autism.
Proceedings of the 9th International Conference on Intelligent Environments, 2013

Evaluation of ALTO-enhanced request routing for CDN interconnection.
Proceedings of IEEE International Conference on Communications, 2013

A Monitoring System enhanced by means of Situation-Awareness for Cognitive Impaired People.
Proceedings of the 8th International Conference on Body Area Networks, 2013

Addressing Security Issues of Electronic Health Record Systems through Enhanced SIEM Technology.
Proceedings of the 2013 International Conference on Availability, Reliability and Security, 2013


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