| Reinforcement learning for intelligent healthcare applications: A survey A Coronato, M Naeem, G De Pietro, G Paragliola Artificial intelligence in medicine 109, 101964, 2020 | 330 | 2020 |
| A situation-aware system for the detection of motion disorders of patients with autism spectrum disorders A Coronato, G De Pietro, G Paragliola Expert Systems with Applications 41 (17), 7868-7877, 2014 | 54 | 2014 |
| A reinforcement learning and deep learning based intelligent system for the support of impaired patients in home treatment M Naeem, G Paragliola, A Coronato Expert Systems with Applications 168, 114285, 2021 | 49 | 2021 |
| Gait anomaly detection of subjects with Parkinson’s disease using a deep time series-based approach G Paragliola, A Coronato Ieee access 6, 73280-73292, 2018 | 49 | 2018 |
| Definition of a novel federated learning approach to reduce communication costs G Paragliola, A Coronato Expert Systems with Applications 189, 116109, 2022 | 45 | 2022 |
| An hybrid ECG-based deep network for the early identification of high-risk to major cardiovascular events for hypertension patients G Paragliola, A Coronato Journal of Biomedical Informatics 113, 103648, 2021 | 38 | 2021 |
| A structured approach for the designing of safe aal applications A Coronato, G Paragliola Expert Systems with Applications 85, 1-13, 2017 | 26 | 2017 |
| Evaluation of the trade-off between performance and communication costs in federated learning scenario G Paragliola Future Generation Computer Systems 136, 282-293, 2022 | 25 | 2022 |
| Risk management for nuclear medical department using reinforcement learning algorithms G Paragliola, M Naeem Journal of Reliable Intelligent Environments 5, 105-113, 2019 | 24 | 2019 |
| Adaptive treatment assisting system for patients using machine learning M Naeem, A Coronato, G Paragliola 2019 sixth international conference on social networks analysis, management …, 2019 | 23 | 2019 |
| A reinforcement learning-based approach for the risk management of e-health environments: A case study G Paragliola, A Coronato, M Naeem, G De Pietro 2018 14th international conference on signal-image technology & internet …, 2018 | 23 | 2018 |
| A cnn based monitoring system to minimize medication errors during treatment process at home M Naeem, G Paragiola, A Coronato, G De Pietro Proceedings of the 3rd International Conference on Applications of …, 2020 | 21 | 2020 |
| An ai-empowered infrastructure for risk prevention during medical examination SIH Shah, M Naeem, G Paragliola, A Coronato, M Pechenizkiy Expert Systems with Applications 225, 120048, 2023 | 18 | 2023 |
| Optimal user scheduling in multi antenna system using multi agent reinforcement learning M Naeem, A Coronato, Z Ullah, S Bashir, G Paragliola Sensors 22 (21), 8278, 2022 | 17 | 2022 |
| Intelligent monitoring of stereotyped motion disorders in case of children with autism G Paragliola, A Coronato 2013 9th international conference on intelligent environments, 258-261, 2013 | 16 | 2013 |
| A federated learning-based approach to recognize subjects at a high risk of hypertension in a non-stationary scenario G Paragliola Information Sciences 622, 16-33, 2023 | 13 | 2023 |
| A monitoring system enhanced by means of situation-awareness for cognitive impaired people A Coronato, G De Pietro, G Paragliola Proceedings of the 8th international conference on body area networks, 124-127, 2013 | 13 | 2013 |
| Addressing security issues of electronic health record systems through enhanced siem technology C Di Sarno, V Formicola, M Sicuranza, G Paragliola 2013 international conference on availability, reliability and security, 646-653, 2013 | 12 | 2013 |
| Definition of an FHIR-based multiprotocol IoT home gateway to support the dynamic plug of new devices within instrumented environments P Zampognaro, G Paragliola, V Falanga Journal of Reliable Intelligent Environments, 1-13, 2022 | 9 | 2022 |
| A deep learning-based approach for the classification of gait dynamics in subjects with a neurodegenerative disease G Paragliola, A Coronato Intelligent Systems and Applications: Proceedings of the 2020 Intelligent …, 2021 | 9 | 2021 |
