Performance Modeling And Analysis Of An Autonomic Router. - Marco Gribaudo; Lelio Campanile; Mauro Iacono; Michele Mastroianni (ECMS, 2019)

On Performance Evaluation of Security Monitoring in Multitenant Cloud Applications. - Lelio Campanile; Mauro Iacono; Stefano Marrone 001; Michele Mastroianni (PASM, 2019)

Quantitative Modeling of the Behaviour of an Autonomic Router. - Lelio Campanile; Marco Gribaudo; Mauro Iacono; Michele Mastroianni (VALUETOOLS, 2019)

Towards the Use of Generative Adversarial Neural Networks to Attack Online Resources. - Lelio Campanile; Mauro Iacono; Fabio Martinelli; Fiammetta Marulli; Michele Mastroianni; Francesco Mercaldo; Antonella Santone (AINA Workshops, 2020)

A Simulation Study On A WSN For Emergency Management. - Lelio Campanile; Mauro Iacono; Fiammetta Marulli; Michele Mastroianni (ECMS, 2020)

A WSN Energy-aware Approach for Air Pollution Monitoring in Waste Treatment Facility Site: A Case Study for Landfill Monitoring Odour. - Lelio Campanile; Mauro Iacono; Roberta Lotito; Michele Mastroianni (IoTBDS, 2020)

Privacy Regulations Challenges on Data-centric and IoT Systems: A Case Study for Smart Vehicles. - Lelio Campanile; Mauro Iacono; Fiammetta Marulli; Michele Mastroianni (IoTBDS, 2020)

Machine Learning Approaches for Diabetes Classification: Perspectives to Artificial Intelligence Methods Updating. - Giuseppe Mainenti; Lelio Campanile; Fiammetta Marulli; Carlo Ricciardi; Antonio S. Valente (IoTBDS, 2020)

A flexible simulation-based framework for model-based/data-driven dependability evaluation. - Carlo Abate; Lelio Campanile; Stefano Marrone 001 (ISSRE Workshops, 2020)

Modelling performances of an autonomic router running under attack. - Lelio Campanile; Marco Gribaudo; Mauro Iacono; Michele Mastroianni (Int. J. Embed. Syst., 2020)

Toward a Fuzzy-based Approach for Computational Load Offloading of IoT Devices. - Lelio Campanile; Mauro Iacono; Fiammetta Marulli; Michele Mastroianni; Nicola Mazzocca (J. Univers. Comput. Sci., 2020)

Performance evaluation of a fog WSN infrastructure for emergency management. - Lelio Campanile; Marco Gribaudo; Mauro Iacono; Michele Mastroianni (Simul. Model. Pract. Theory, 2020)

Hybrid Simulation of Energy Management in IoT Edge Computing Surveillance Systems. - Lelio Campanile; Marco Gribaudo; Mauro Iacono; Michele Mastroianni (EPEW, 2021)

Risk Analysis of a GDPR-Compliant Deletion Technique for Consortium Blockchains Based on Pseudonymization. - Lelio Campanile; Pasquale Cantiello; Mauro Iacono; Fiammetta Marulli; Michele Mastroianni (ICCSA (8), 2021)

Dataset Anonimyzation for Machine Learning: An ISP Case Study. - Lelio Campanile; Fabio Forgione; Fiammetta Marulli; Gianfranco Palmiero; Carlo Sanghez (ICCSA (2), 2021)

Exploring a Federated Learning Approach to Enhance Authorship Attribution of Misleading Information from Heterogeneous Sources. - Fiammetta Marulli; Antonio Balzanella; Lelio Campanile; Mauro Iacono; Michele Mastroianni (IJCNN, 2021)

Applying Machine Learning to Weather and Pollution Data Analysis for a Better Management of Local Areas: The Case of Napoli, Italy. - Lelio Campanile; Pasquale Cantiello; Mauro Iacono; Roberta Lotito; Fiammetta Marulli; Michele Mastroianni (IoTBDS, 2021)

Machine Learning-aided Automatic Calibration of Smart Thermal Cameras for Health Monitoring Applications. - Lelio Campanile; Fiammetta Marulli; Michele Mastroianni; Gianfranco Palmiero; Carlo Sanghez (IoTBDS, 2021)

Exploring Data and Model Poisoning Attacks to Deep Learning-Based NLP Systems. - Fiammetta Marulli; Laura Verde; Lelio Campanile (KES, 2021)

Privacy Regulations, Smart Roads, Blockchain, and Liability Insurance: Putting Technologies to Work. - Lelio Campanile; Mauro Iacono; Alexander H. Levis; Fiammetta Marulli; Michele Mastroianni (IEEE Secur. Priv., 2021)

Designing a GDPR compliant blockchain-based IoV distributed information tracking system. - Lelio Campanile; Mauro Iacono; Fiammetta Marulli; Michele Mastroianni (Inf. Process. Manag., 2021)

Performance evaluation for the design of a hybrid cloud based distance synchronous and asynchronous learning architecture. - Enrico Barbierato; Lelio Campanile; Marco Gribaudo; Mauro Iacono; Michele Mastroianni; Stefania Nacchia (Simul. Model. Pract. Theory, 2021)

Towards privacy-aware software design in small and medium enterprises. - Lelio Campanile; Mauro Iacono; Michele Mastroianni (DASC/PiCom/CBDCom/CyberSciTech, 2022)

Speech-based Evaluation of Emotions-Depression Correlation. - Laura Verde; Lelio Campanile; Fiammetta Marulli; Stefano Marrone 001 (DASC/PiCom/CBDCom/CyberSciTech, 2022)

A DSL-Based Modeling Approach For Energy Harvesting IoT / WSN. - Lelio Campanile; Mauro Iacono; Fiammetta Marulli; Marco Gribaudo; Michele Mastrioianni (ECMS, 2022)

Sensitive Information Detection Adopting Named Entity Recognition: A Proposed Methodology. - Lelio Campanile; Maria Stella de Biase; Stefano Marrone 001; Fiammetta Marulli; Mariapia Raimondo; Laura Verde (ICCSA (Workshops 4), 2022)

Evaluating the Impact of Data Anonymization in a Machine Learning Application. - Lelio Campanile; Fabio Forgione; Michele Mastroianni; Gianfranco Palmiero; Carlo Sanghez (ICCSA (Workshops 4), 2022)

Challenges and Trends in Federated Learning for Well-being and Healthcare. - Lelio Campanile; Stefano Marrone 001; Fiammetta Marulli; Laura Verde (KES, 2022)

On the Evaluation of BDD Requirements with Text-based Metrics: The ETCS-L3 Case Study. - Lelio Campanile; Maria Stella de Biase; Stefano Marrone 001; Mariapia Raimondo; Laura Verde (KES-IDT, 2022)

Break the Fake: A Technical Report on Browsing Behavior During the Pandemic. - Lelio Campanile; Mario Cesarano; Gianfranco Palmiero; Carlo Sanghez (KES-IDT, 2022)

A Federated Consensus-Based Model for Enhancing Fake News and Misleading Information Debunking. - Fiammetta Marulli; Laura Verde; Stefano Marrone 001; Lelio Campanile (KES-IDT, 2022)

A Domain Specific Language for the Design of Artificial Intelligence Applications for Process Engineering. - Lelio Campanile; Luigi Piero Di Bonito; Marco Gribaudo; Mauro Iacono (VALUETOOLS, 2022)

Merging Model-Based and Data-Driven Approaches for Resilient Systems Digital Twins Design. - Lelio Campanile; Maria Stella de Biase; Roberta De Fazio; Michele Di Giovanni; Fiammetta Marulli; Laura Verde (CSR, 2023)

Prediction Of Chemical Plants Operating Performances: A Machine Learning Approach. - Lelio Campanile; Luigi Piero Di Bonito; Mauro Iacono; Francesco Di Natale (ECMS, 2023)

Inferring Emotional Models from Human-Machine Speech Interactions. - Lelio Campanile; Roberta De Fazio; Michele Di Giovanni; Stefano Marrone 001; Fiammetta Marulli; Laura Verde (KES, 2023)

Supporting the Development of Digital Twins in Nuclear Waste Monitoring Systems. - Michele Di Giovanni; Lelio Campanile; Antonio D'Onofrio; Stefano Marrone 001; Fiammetta Marulli; Mauro Romoli; Carlo Sabbarese; Laura Verde (KES, 2023)

A Petri net oriented approach for advanced building energy management systems. - Stefano Marrone 001; Lelio Campanile; Roberta De Fazio; Michele Di Giovanni; Ugo Gentile; Fiammetta Marulli; Laura Verde (J. Ambient Intell. Smart Environ., 2023)

A cyber warfare perspective on risks related to health IoT devices and contact tracing. - Andrea Bobbio; Lelio Campanile; Marco Gribaudo; Mauro Iacono; Fiammetta Marulli; Michele Mastroianni (Neural Comput. Appl., 2023)

Combining Federated and Ensemble Learning in Distributed and Cloud Environments: An Exploratory Study. - Fiammetta Marulli; Lelio Campanile; Stefano Marrone 001; Laura Verde (AINA (5), 2024)

Ensemble Models For Predicting CO Concentrations: Application And Explainability In Environmental Monitoring In Campania, Italy. - Lelio Campanile; Luigi Piero Di Bonito; Francesco Di Natale; Mauro Iacono (ECMS, 2024)

Fuzzy-based Severity Evaluation in Privacy Problems: an Application to Healthcare. - Atrin Barzegar; Lelio Campanile; Stefano Marrone 001; Fiammetta Marulli; Laura Verde; Michele Mastroianni (EDCC, 2024)

Beyond the Hype: Toward a Concrete Adoption of the Fair and Responsible Use of AI. - Lelio Campanile; Roberta De Fazio; Michele Di Giovanni; Fiammetta Marulli (Ital-IA, 2024)

Understanding Readability of Large Language Models Output: An Empirical Analysis. - Fiammetta Marulli; Lelio Campanile; Maria Stella de Biase; Stefano Marrone 001; Laura Verde; Marianna Bifulco (KES, 2024)

HEAR set: A ligHtwEight acoustic paRameters set to assess mental health from voice analysis. - Laura Verde; Fiammetta Marulli; Roberta De Fazio; Lelio Campanile; Stefano Marrone 001 (Comput. Biol. Medicine, 2024)

Edge-Cloud Distributed Approaches to Text Authorship Analysis: A Feasibility Study. - Lelio Campanile; Maria Stella de Biase; Fiammetta Marulli (AINA (6), 2025)

Data Generation and Cybersecurity: A Major Opportunity or the Next Nightmare? - Fiammetta Marulli; Lelio Campanile; Gennaro Ragucci; Sabatino Carbone; Marianna Bifulco (CSR, 2025)

Performance Evaluation Of An Edge?Blockchain Architecture For Smart City. - Lelio Campanile; Mauro Iacono; Michele Mastroianni; Christian Riccio (ECMS, 2025)

Toward Privacy-Aware Environmental Monitoring of rmCO2 and Air Pollutants in Southern Italy. - Lelio Campanile; Luigi Piero Di Bonito; Fiammetta Marulli; Antonio Balzanella; Rosanna Verde (ICCSA (Workshops 8), 2025)

A TOPSIS-Based Approach to Evaluate Alternative Solutions for GDPR-Compliant Smart-City Services Implementation. - Lelio Campanile; Mauro Iacono; Michele Mastroianni; Christian Riccio; Bruna Viscardi (ICCSA (Workshops 8), 2025)

Comparing Emerging Technologies in Image Classification: From Quantum to Kolmogorov. - Fabio Napoli; Mariarosaria Castaldo; Stefano Marrone 001; Lelio Campanile (ICCSA (Workshops 1), 2025)

An AI-Driven Methodology for Patent Evaluation in the IoT Sector: Assessing Relevance and Future Impact. - Lelio Campanile; Renato Zona; Antonio Perfetti; Franco Rosatelli (IoTBDS, 2025)

Quantum Convolutional Neural Networks for Image Classification: Perspectives and Challenges. - Fabio Napoli; Lelio Campanile; Giovanni De Gregorio; Stefano Marrone 001 (IoTBDS, 2025)

Assessing Safety and Sustainability of a Monitoring System for Nuclear Waste Management. - Michele Di Giovanni; Laura Verde; Lelio Campanile; Mauro Romoli; Carlo Sabbarese; Stefano Marrone 001 (IEEE Access, 2025)

An eXplainable Artificial Intelligence framework to predict marine scrubbers performances. - Luigi Piero Di Bonito; Lelio Campanile; Mauro Iacono; Francesco Di Natale (Eng. Appl. Artif. Intell., 2025)