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ORCIDLelio Campanile
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2020 – today
- 2024
[j9]Laura Verde
, Fiammetta Marulli, Roberta De Fazio, Lelio Campanile, Stefano Marrone:
HEAR set: A ligHtwEight acoustic paRameters set to assess mental health from voice analysis. Comput. Biol. Medicine 182: 109021 (2024)- [c34]Fiammetta Marulli, Lelio Campanile, Stefano Marrone, Laura Verde:
Combining Federated and Ensemble Learning in Distributed and Cloud Environments: An Exploratory Study. AINA (5) 2024: 297-306 - [c33]Lelio Campanile, Luigi Piero Di Bonito, Francesco Di Natale, Mauro Iacono:
Ensemble Models For Predicting CO Concentrations: Application And Explainability In Environmental Monitoring In Campania, Italy. ECMS 2024: 558-564 - [c32]Atrin Barzegar, Lelio Campanile, Stefano Marrone, Fiammetta Marulli, Laura Verde, Michele Mastroianni:
Fuzzy-based Severity Evaluation in Privacy Problems: an Application to Healthcare. EDCC 2024: 147-154 - [c31]Lelio Campanile, Roberta De Fazio, Michele Di Giovanni, Fiammetta Marulli:
Beyond the Hype: Toward a Concrete Adoption of the Fair and Responsible Use of AI. Ital-IA 2024: 106-111 - 2023
- [j8]Stefano Marrone, Lelio Campanile, Roberta De Fazio, Michele Di Giovanni, Ugo Gentile, Fiammetta Marulli, Laura Verde:
A Petri net oriented approach for advanced building energy management systems. J. Ambient Intell. Smart Environ. 15(3): 211-233 (2023) - [j7]Andrea Bobbio, Lelio Campanile, Marco Gribaudo, Mauro Iacono, Fiammetta Marulli, Michele Mastroianni:
A cyber warfare perspective on risks related to health IoT devices and contact tracing. Neural Comput. Appl. 35(19): 13823-13837 (2023) - [c30]Lelio Campanile, Maria Stella de Biase, Roberta De Fazio, Michele Di Giovanni, Fiammetta Marulli, Laura Verde:
Merging Model-Based and Data-Driven Approaches for Resilient Systems Digital Twins Design. CSR 2023: 301-306 - [c29]Lelio Campanile, Luigi Piero Di Bonito, Mauro Iacono, Francesco Di Natale:
Prediction Of Chemical Plants Operating Performances: A Machine Learning Approach. ECMS 2023: 575-581 - [c28]Lelio Campanile, Roberta De Fazio, Michele Di Giovanni, Stefano Marrone, Fiammetta Marulli, Laura Verde:
Inferring Emotional Models from Human-Machine Speech Interactions. KES 2023: 1241-1250 - [c27]Michele Di Giovanni, Lelio Campanile, Antonio D'Onofrio, Stefano Marrone, Fiammetta Marulli, Mauro Romoli, Carlo Sabbarese, Laura Verde:
Supporting the Development of Digital Twins in Nuclear Waste Monitoring Systems. KES 2023: 3133-3142 - 2022
- [c26]Lelio Campanile, Mauro Iacono, Michele Mastroianni:
Towards privacy-aware software design in small and medium enterprises. DASC/PiCom/CBDCom/CyberSciTech 2022: 1-8 - [c25]Laura Verde, Lelio Campanile, Fiammetta Marulli, Stefano Marrone:
Speech-based Evaluation of Emotions-Depression Correlation. DASC/PiCom/CBDCom/CyberSciTech 2022: 1-6 - [c24]Lelio Campanile, Mauro Iacono, Fiammetta Marulli, Marco Gribaudo, Michele Mastrioianni:
A DSL-Based Modeling Approach For Energy Harvesting IoT / WSN. ECMS 2022: 317-323 - [c23]Lelio Campanile, Maria Stella de Biase, Stefano Marrone, Fiammetta Marulli, Mariapia Raimondo, Laura Verde:
Sensitive Information Detection Adopting Named Entity Recognition: A Proposed Methodology. ICCSA (Workshops 4) 2022: 377-388 - [c22]Lelio Campanile, Fabio Forgione, Michele Mastroianni, Gianfranco Palmiero, Carlo Sanghez:
Evaluating the Impact of Data Anonymization in a Machine Learning Application. ICCSA (Workshops 4) 2022: 389-400 - [c21]Lelio Campanile, Stefano Marrone, Fiammetta Marulli, Laura Verde:
Challenges and Trends in Federated Learning for Well-being and Healthcare. KES 2022: 1144-1153 - [c20]Lelio Campanile, Maria Stella de Biase, Stefano Marrone, Mariapia Raimondo, Laura Verde:
On the Evaluation of BDD Requirements with Text-based Metrics: The ETCS-L3 Case Study. KES-IDT 2022: 561-571 - [c19]Lelio Campanile, Mario Cesarano, Gianfranco Palmiero, Carlo Sanghez:
Break the Fake: A Technical Report on Browsing Behavior During the Pandemic. KES-IDT 2022: 573-586 - [c18]Fiammetta Marulli, Laura Verde, Stefano Marrone, Lelio Campanile:
A Federated Consensus-Based Model for Enhancing Fake News and Misleading Information Debunking. KES-IDT 2022: 587-596 - [c17]Lelio Campanile, Luigi Piero Di Bonito, Marco Gribaudo, Mauro Iacono:
A Domain Specific Language for the Design of Artificial Intelligence Applications for Process Engineering. VALUETOOLS 2022: 133-146 - 2021
- [j6]Lelio Campanile, Mauro Iacono, Alexander H. Levis, Fiammetta Marulli, Michele Mastroianni:
Privacy Regulations, Smart Roads, Blockchain, and Liability Insurance: Putting Technologies to Work. IEEE Secur. Priv. 19(1): 34-43 (2021) - [j5]Lelio Campanile, Mauro Iacono, Fiammetta Marulli, Michele Mastroianni:
Designing a GDPR compliant blockchain-based IoV distributed information tracking system. Inf. Process. Manag. 58(3): 102511 (2021) - [j4]Enrico Barbierato, Lelio Campanile, Marco Gribaudo, Mauro Iacono, Michele Mastroianni, Stefania Nacchia:
Performance evaluation for the design of a hybrid cloud based distance synchronous and asynchronous learning architecture. Simul. Model. Pract. Theory 109: 102303 (2021) - [c16]Lelio Campanile, Marco Gribaudo, Mauro Iacono, Michele Mastroianni:
Hybrid Simulation of Energy Management in IoT Edge Computing Surveillance Systems. EPEW 2021: 345-359 - [c15]Lelio Campanile, Pasquale Cantiello, Mauro Iacono, Fiammetta Marulli, Michele Mastroianni:
Risk Analysis of a GDPR-Compliant Deletion Technique for Consortium Blockchains Based on Pseudonymization. ICCSA (8) 2021: 3-14 - [c14]Lelio Campanile, Fabio Forgione, Fiammetta Marulli, Gianfranco Palmiero, Carlo Sanghez:
Dataset Anonimyzation for Machine Learning: An ISP Case Study. ICCSA (2) 2021: 589-597 - [c13]Fiammetta Marulli, Antonio Balzanella, Lelio Campanile, Mauro Iacono, Michele Mastroianni:
Exploring a Federated Learning Approach to Enhance Authorship Attribution of Misleading Information from Heterogeneous Sources. IJCNN 2021: 1-8 - [c12]Lelio Campanile, Fiammetta Marulli, Michele Mastroianni, Gianfranco Palmiero, Carlo Sanghez:
Machine Learning-aided Automatic Calibration of Smart Thermal Cameras for Health Monitoring Applications. IoTBDS 2021: 343-353 - [c11]Lelio Campanile, Pasquale Cantiello, Mauro Iacono, Roberta Lotito, Fiammetta Marulli, Michele Mastroianni:
Applying Machine Learning to Weather and Pollution Data Analysis for a Better Management of Local Areas: The Case of Napoli, Italy. IoTBDS 2021: 354-363 - [c10]Fiammetta Marulli, Laura Verde, Lelio Campanile:
Exploring Data and Model Poisoning Attacks to Deep Learning-Based NLP Systems. KES 2021: 3570-3579 - [e1]Khalid Al-Begain, Mauro Iacono, Lelio Campanile, Andrzej Bargiela:
Proceedings of the 35th International ECMS International Conference on Modelling and Simulation, ECMS 2021, Virtual Event, UK, May 31 - June 2, 2021. European Council for Modeling and Simulation 2021, ISBN 978-3-937436-72-2 [contents] - 2020
- [j3]Lelio Campanile, Marco Gribaudo, Mauro Iacono, Michele Mastroianni:
Modelling performances of an autonomic router running under attack. Int. J. Embed. Syst. 12(4): 458-466 (2020) - [j2]Lelio Campanile, Mauro Iacono, Fiammetta Marulli, Michele Mastroianni, Nicola Mazzocca:
Toward a Fuzzy-based Approach for Computational Load Offloading of IoT Devices. J. Univers. Comput. Sci. 26(11): 1455-1474 (2020) - [j1]Lelio Campanile, Marco Gribaudo, Mauro Iacono, Michele Mastroianni:
Performance evaluation of a fog WSN infrastructure for emergency management. Simul. Model. Pract. Theory 104: 102120 (2020) - [c9]Lelio Campanile, Mauro Iacono, Fabio Martinelli, Fiammetta Marulli, Michele Mastroianni, Francesco Mercaldo, Antonella Santone:
Towards the Use of Generative Adversarial Neural Networks to Attack Online Resources. AINA Workshops 2020: 890-901 - [c8]Lelio Campanile, Mauro Iacono, Fiammetta Marulli, Michele Mastroianni:
A Simulation Study On A WSN For Emergency Management. ECMS 2020: 384-390 - [c7]Lelio Campanile, Mauro Iacono, Fiammetta Marulli, Michele Mastroianni:
Privacy Regulations Challenges on Data-centric and IoT Systems: A Case Study for Smart Vehicles. IoTBDS 2020: 507-518 - [c6]Lelio Campanile, Mauro Iacono, Roberta Lotito, Michele Mastroianni:
A WSN Energy-aware Approach for Air Pollution Monitoring in Waste Treatment Facility Site: A Case Study for Landfill Monitoring Odour. IoTBDS 2020: 526-532 - [c5]Giuseppe Mainenti, Lelio Campanile, Fiammetta Marulli, Carlo Ricciardi, Antonio S. Valente:
Machine Learning Approaches for Diabetes Classification: Perspectives to Artificial Intelligence Methods Updating. IoTBDS 2020: 533-540 - [c4]Carlo Abate, Lelio Campanile, Stefano Marrone:
A flexible simulation-based framework for model-based/data-driven dependability evaluation. ISSRE Workshops 2020: 261-266
2010 – 2019
- 2019
- [c3]Marco Gribaudo, Lelio Campanile, Mauro Iacono, Michele Mastroianni:
Performance Modeling And Analysis Of An Autonomic Router. ECMS 2019: 441-447 - [c2]Lelio Campanile, Mauro Iacono, Stefano Marrone, Michele Mastroianni:
On Performance Evaluation of Security Monitoring in Multitenant Cloud Applications. PASM 2019: 107-127 - [c1]Lelio Campanile, Marco Gribaudo, Mauro Iacono, Michele Mastroianni:
Quantitative Modeling of the Behaviour of an Autonomic Router. VALUETOOLS 2019: 193-194
Coauthor Index
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last updated on 2024-10-09 21:27 CEST by the dblp team
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