UsCaAb: A Tool for Abstracting Use Case Diagrams. - Mario Luca Bernardi; Giuseppe A. Di Lucca (CSMR, 2005)

Supporting the Comprehension of Object-oriented Software Systems by Extended M-M Graph. - Mario Luca Bernardi; Giuseppe A. Di Lucca (IASTED Conf. on Software Engineering, 2005)

Improving Design Pattern Quality Using Aspect Orientation. - Mario Luca Bernardi; Giuseppe A. Di Lucca (STEP, 2005)

Using AOP to Improve Design Patterns Modularity. - Mario Luca Bernardi; Giuseppe A. Di Lucca (IASTED Conf. on Software Engineering, 2006)

Recovering conceptual models from web applications. - Giuseppe A. Di Lucca; Damiano Distante; Mario Luca Bernardi (SIGDOC, 2006)

An Interprocedural Aspect Control Flow Graph to Support the Maintenance of Aspect Oriented Systems. - Mario Luca Bernardi; Giuseppe A. Di Lucca (ICSM, 2007)

Testing Aspect Oriented Programs: an Approach Based on the Coverage of the Interactions among Advices and Methods. - Mario Luca Bernardi; Giuseppe A. Di Lucca (QUATIC, 2007)

A Taxonomy of Interactions Introduced by Aspects. - Mario Luca Bernardi; Giuseppe A. Di Lucca (COMPSAC, 2008)

Reverse Engineering of Aspect Oriented Systems to Support their Comprehension, Evolution, Testing and Assessment. - Mario Luca Bernardi (CSMR, 2008)

Reverse engineering of Web Applications to abstract user-centered conceptual models. - Mario Luca Bernardi; Giuseppe A. Di Lucca; Damiano Distante (WSE, 2008)

Workshop on Maintenance of Aspect Oriented Systems. - Mario Luca Bernardi; Giuseppe A. Di Lucca; Mariano Ceccato (CSMR, 2009)

Analysing Object Type Hierarchies to Identify Crosscutting Concerns. - Mario Luca Bernardi; Giuseppe A. Di Lucca (FGIT, 2009)

A role-based crosscutting concerns mining approach to evolve Java systems towards AOP. - Mario Luca Bernardi; Giuseppe Antonio Di Lucca (EVOL/IWPSE, 2009)

ConAn: A Tool for the Identification of Crosscutting Concerns in Object Oriented Systems Based on Type Hierarchy Analysis. - Mario Luca Bernardi; Giuseppe A. Di Lucca (WCRE, 2009)

The RE-UWA approach to recover user centered conceptual models from Web applications. - Mario Luca Bernardi; Giuseppe A. Di Lucca; Damiano Distante (Int. J. Softw. Tools Technol. Transf., 2009)

Mining Design Patterns in Object Oriented Systems by a Model-Driven Approach. - Mario Luca Bernardi; Giuseppe A. Di Lucca (FGIT-ASEA, 2010)

A metric model for aspects' coupling. - Mario Luca Bernardi; Giuseppe A. Di Lucca (WETSoM, 2010)

Model-driven detection of Design Patterns. - Mario Luca Bernardi; Giuseppe A. Di Lucca (ICSM, 2010)

The ConAn Tool to Identify Crosscutting Concerns in Object Oriented Systems. - Mario Luca Bernardi; Giuseppe A. Di Lucca (ICPC, 2010)

Improving the Design of Existing Web Applications. - Mario Luca Bernardi; Giuseppe A. Di Lucca; Damiano Distante (QUATIC, 2010)

Web applications design evolution with UWA. - Mario Luca Bernardi; Marta Cimitile; Damiano Distante; Francesco Mazzone (WSE, 2010)

An Aspect-Oriented Programming-based approach to software development for fault detection in measurement systems. - Pasquale Arpaia; Mario Luca Bernardi; Giuseppe A. Di Lucca; Vitaliano Inglese; Giovanni Spiezia (Comput. Stand. Interfaces, 2010)

Identifying the Crosscutting among Concerns by Methods' Calls Analysis. - Mario Luca Bernardi; Giuseppe A. Di Lucca (FGIT-ASEA/DRBC/EL, 2011)

What topics do Firefox and Chrome contributors discuss? - Mario Luca Bernardi; Carmine Sementa; Quirino Zagarese; Damiano Distante; Massimiliano Di Penta (MSR, 2011)

A model-driven approach for the fast prototyping of web applications. - Mario Luca Bernardi; Giuseppe A. Di Lucca; Damiano Distante (WSE, 2011)

Do Developers Introduce Bugs When They Do Not Communicate? The Case of Eclipse and Mozilla. - Mario Luca Bernardi; Gerardo Canfora; Giuseppe A. Di Lucca; Massimiliano Di Penta; Damiano Distante (CSMR, 2012)

Using Declarative Workflow Languages to Develop Process-Centric Web Applications. - Mario Luca Bernardi; Marta Cimitile; Giuseppe A. Di Lucca; Fabrizio Maria Maggi (EDOC Workshops, 2012)

Model Driven Development of Process-centric Web Applications. - Mario Luca Bernardi; Marta Cimitile; Fabrizio Maria Maggi (ICSOFT, 2012)

M3D: a tool for the model driven development of web applications. - Mario Luca Bernardi; Marta Cimitile; Giuseppe A. Di Lucca; Fabrizio Maria Maggi (WIDM, 2012)

Development of flexible process-centric web applications: An integrated model driven approach. - Mario Luca Bernardi; Marta Cimitile; Giuseppe A. Di Lucca; Fabrizio Maria Maggi (WSE, 2012)

An Aspect Oriented Framework for Flexible Design Pattern-based Development. - Mario Luca Bernardi; Marta Cimitile; Giuseppe A. Di Lucca (ICSOFT, 2013)

Process Lines for Automatic Workflow Development. - Mario Luca Bernardi; Marta Cimitile; Fabrizio Maria Maggi (ICSOFT, 2013)

A model-driven graph-matching approach for design pattern detection. - Mario Luca Bernardi; Marta Cimitile; Giuseppe Antonio Di Lucca (WCRE, 2013)

Model driven evolution of web applications. - Mario Luca Bernardi; Giuseppe A. Di Lucca; Damiano Distante; Marta Cimitile (WSE, 2013)

Web applications design recovery and evolution with RE-UWA. - Mario Luca Bernardi; Marta Cimitile; Damiano Distante (J. Softw. Evol. Process., 2013)

Discovering cross-organizational business rules from the cloud. - Mario Luca Bernardi; Marta Cimitile; Fabrizio Maria Maggi (CIDM, 2014)

Model-driven fast prototyping of RIAs: From conceptual models to running applications. - Mario Luca Bernardi; Giuseppe Antonio Di Lucca; Damiano Distante (ICACCI, 2014)

Using Discriminative Rule Mining to Discover Declarative Process Models with Non-atomic Activities. - Mario Luca Bernardi; Marta Cimitile; Chiara Di Francescomarino; Fabrizio Maria Maggi (RuleML, 2014)

Declarative design pattern-based development using aspect oriented programming. - Mario Luca Bernardi; Marta Cimitile; Giuseppe A. Di Lucca (SAC, 2014)

Design pattern detection using a DSL-driven graph matching approach. - Mario Luca Bernardi; Marta Cimitile; Giuseppe A. Di Lucca (J. Softw. Evol. Process., 2014)

Improving Design Patterns Finder Precision Using a Model Checking Approach. - Mario Luca Bernardi; Marta Cimitile; Giuseppe De Ruvo; Giuseppe A. Di Lucca; Antonella Santone (CAiSE Forum, 2015)

Generating Event Logs Through the Simulation of Declare Models. - Claudio Di Ciccio; Mario Luca Bernardi; Marta Cimitile; Fabrizio Maria Maggi (EOMAS@CAiSE, 2015)

Model Checking to Improve Precision of Design Pattern Instances Identification in OO Systems. - Mario Luca Bernardi; Marta Cimitile; Giuseppe De Ruvo; Giuseppe A. Di Lucca; Antonella Santone (ICSOFT-PT, 2015)

Integrating Model Driven and Model Checking to Mine Design Patterns. - Mario Luca Bernardi; Marta Cimitile; Giuseppe De Ruvo; Giuseppe A. Di Lucca; Antonella Santone (ICSOFT (Selected Papers), 2015)

Process Mining Meets Malware Evolution: A Study of the Behavior of Malicious Code. - Mario Luca Bernardi; Marta Cimitile; Francesco Mercaldo (CANDAR, 2016)

Reducing Static Dependences Exploiting a Declarative Design Patterns Framework. - Mario Luca Bernardi; Marta Cimitile (ICSOFT-PT, 2016)

A constraint-driven approach for dynamic malware detection. - Mario Luca Bernardi; Marta Cimitile; Damiano Distante; Francesco Mercaldo (PST, 2016)

Automated development of constraint-driven web applications. - Mario Luca Bernardi; Marta Cimitile; Fabrizio Maria Maggi (SAC, 2016)

Do activity lifecycles affect the validity of a business rule in a business process? - Mario Luca Bernardi; Marta Cimitile; Chiara Di Francescomarino; Fabrizio Maria Maggi (Inf. Syst., 2016)

Mining static and dynamic crosscutting concerns: a role-based approach. - Mario Luca Bernardi; Marta Cimitile; Giuseppe A. Di Lucca (J. Softw. Evol. Process., 2016)

A fuzzy-based autoscaling approach for process centered cloud systems. - Giovanni Acampora; Mario Luca Bernardi; Marta Cimitile; Genoveffa Tortora; Autilia Vitiello (FUZZ-IEEE, 2017)

A fuzzy-based process mining approach for dynamic malware detection. - Mario Luca Bernardi; Marta Cimitile; Fabio Martinelli; Francesco Mercaldo (FUZZ-IEEE, 2017)

Game Bot Detection in Online Role Player Game through Behavioural Features. - Mario Luca Bernardi; Marta Cimitile; Fabio Martinelli; Francesco Mercaldo (ICSOFT, 2017)

A Machine Learning Approach for Game Bot Detection Through Behavioural Features. - Mario Luca Bernardi; Marta Cimitile; Fabio Martinelli; Francesco Mercaldo (ICSOFT (Selected Papers), 2017)

A time series classification approach to game bot detection. - Mario Luca Bernardi; Marta Cimitile; Fabio Martinelli; Francesco Mercaldo (WIMS, 2017)

A Fuzzy Clustering-based Approach to study Malware Phylogeny. - Giovanni Acampora; Mario Luca Bernardi; Marta Cimitile; Genoveffa Tortora; Autilia Vitiello (FUZZ-IEEE, 2018)

An Ensemble Fuzzy Logic Approach to Game Bot Detection through Behavioural Features. - Mario Luca Bernardi; Marta Cimitile; Fabio Martinelli; Francesco Mercaldo (FUZZ-IEEE, 2018)

A Multi-source Machine Learning Approach to Predict Defect Prone Components. - Pasquale Ardimento; Mario Luca Bernardi; Marta Cimitile (ICSOFT, 2018)

Driver Identification: a Time Series Classification Approach. - Mario Luca Bernardi; Marta Cimitile; Fabio Martinelli; Francesco Mercaldo (IJCNN, 2018)

Cross-Organisational Process Mining in Cloud Environments. - Mario Luca Bernardi; Marta Cimitile; Francesco Mercaldo (J. Inf. Knowl. Manag., 2018)

The relation between developers' communication and fix-Inducing changes: An empirical study. - Mario Luca Bernardi; Gerardo Canfora; Giuseppe A. Di Lucca; Massimiliano Di Penta; Damiano Distante (J. Syst. Softw., 2018)

Learning analytics to improve coding abilities: a fuzzy-based process mining approach. - Pasquale Ardimento; Mario Luca Bernardi; Marta Cimitile; Giuseppe De Ruvo (FUZZ-IEEE, 2019)

On the Students' Misconceptions in Object-Oriented Language Constructs. - Pasquale Ardimento; Mario Luca Bernardi; Marta Cimitile (HELMeTO, 2019)

Keystroke Analysis for User Identification using Deep Neural Networks. - Mario Luca Bernardi; Marta Cimitile; Fabio Martinelli; Francesco Mercaldo (IJCNN, 2019)

Evaluating coding behavior in software development processes: a process mining approach. - Pasquale Ardimento; Mario Luca Bernardi; Marta Cimitile; Fabrizio Maria Maggi (ICSSP, 2019)

Mining Developer's Behavior from Web-Based IDE Logs. - Pasquale Ardimento; Mario Luca Bernardi; Marta Cimitile; Giuseppe De Ruvo (WETICE, 2019)

Dynamic malware detection and phylogeny analysis using process mining. - Mario Luca Bernardi; Marta Cimitile; Damiano Distante; Fabio Martinelli; Francesco Mercaldo (Int. J. Inf. Sec., 2019)

Malware Phylogeny Analysis using Data-Aware Declarative Process Mining. - Pasquale Ardimento; Mario Luca Bernardi; Marta Cimitile (EAIS, 2020)

Fuzzy Neural Networks to Detect Parkinson Disease. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Riccardo Pecori (FUZZ-IEEE, 2020)

Towards automatic assessment of object-oriented programs. - Pasquale Ardimento; Mario Luca Bernardi; Marta Cimitile (ICSE (Companion Volume), 2020)

Temporal Convolutional Networks for Just-in-Time Software Defect Prediction. - Pasquale Ardimento; Lerina Aversano; Mario Luca Bernardi; Marta Cimitile (ICSOFT, 2020)

Investigating on the Relationships between Design Smells Removals and Refactorings. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Martina Iammarino; Kateryna Romanyuk (ICSOFT, 2020)

Data-Aware Declarative Process Mining for Malware Detection. - Pasquale Ardimento; Lerina Aversano; Mario Luca Bernardi; Marta Cimitile (IJCNN, 2020)

Early Detection of Parkinson Disease using Deep Neural Networks on Gait Dynamics. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Riccardo Pecori (IJCNN, 2020)

A Topic Modeling Approach To Evaluate The Comments Consistency To Source Code. - Martina Iammarino; Lerina Aversano; Mario Luca Bernardi; Marta Cimitile (IJCNN, 2020)

Identification of Walker Identity Using Smartphone Sensors: An Experiment Using Ensemble Learning. - Antonio Angrisano; Mario Luca Bernardi; Marta Cimitile; Salvatore Gaglione; Mario Vultaggio (IEEE Access, 2020)

Software Analytics to Support Students in Object-Oriented Programming Tasks: An Empirical Study. - Pasquale Ardimento; Mario Luca Bernardi; Marta Cimitile (IEEE Access, 2020)

Reusing Bugged Source Code to Support Novice Programmers in Debugging Tasks. - Pasquale Ardimento; Mario Luca Bernardi; Marta Cimitile; Giuseppe De Ruvo (ACM Trans. Comput. Educ., 2020)

A Machine Learning Approach for Walker Identification Using Smartphone Sensors. - Antonio Angrisano; Pasquale Ardimento; Mario Luca Bernardi; Marta Cimitile; Salvatore Gaglione (Complex Pattern Mining, 2020)

An Explainable Approach for Car Driver Identification. - Gionatan Gallo; Mario Luca Bernardi; Marta Cimitile; Pietro Ducange (FUZZ-IEEE, 2021)

Using Process Mining to Understand Students' and Teams' Dynamics. - Pasquale Ardimento; Mario Luca Bernardi; Marta Cimitile (HELMeTO, 2021)

Anomaly Detection of actual IoT traffic flows through Deep Learning. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Riccardo Pecori (ICMLA, 2021)

Transfer Learning for Just-in-Time Design Smells Prediction using Temporal Convolutional Networks. - Pasquale Ardimento; Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Martina Iammarino (ICSOFT, 2021)

Deep Neural Networks Ensemble for Lung Nodule Detection on Chest CT Scans. - Pasquale Ardimento; Lerina Aversano; Mario Luca Bernardi; Marta Cimitile (IJCNN, 2021)

Technical Debt predictive model through Temporal Convolutional Network. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Martina Iammarino (IJCNN, 2021)

Thyroid Disease Treatment prediction with machine learning approaches. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Martina Iammarino; Paolo Emidio Macchia; Immacolata Cristina Nettore; Chiara Verdone (KES, 2021)

Keynote: Edge Intelligence - Emerging Solutions and Open Challenges. - Mario Luca Bernardi (PerCom Workshops, 2021)

A systematic review on Deep Learning approaches for IoT security. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Riccardo Pecori (Comput. Sci. Rev., 2021)

Temporal convolutional networks for just-in-time design smells prediction using fine-grained software metrics. - Pasquale Ardimento; Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Martina Iammarino (Neurocomputing, 2021)

Continuous authentication using deep neural networks ensemble on keystroke dynamics. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Riccardo Pecori (PeerJ Comput. Sci., 2021)

Deep neural networks ensemble to detect COVID-19 from CT scans. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Riccardo Pecori (Pattern Recognit., 2021)

Temporal Convolutional Neural Networks for Radar Micro-Doppler Based Gait Recognition. - Pia Addabbo; Mario Luca Bernardi; Filippo Biondi; Marta Cimitile; Carmine Clemente; Danilo Orlando (Sensors, 2021)

Using Machine Learning for Classification of Cancer Cells from Raman Spectroscopy. - Lerina Aversano; Mario Luca Bernardi; Vincenzo Calgano; Marta Cimitile; Concetta Esposito; Martina Iammarino; Marco Pisco; Sara Spaziani; Chiara Verdone (DeLTA, 2022)

An Explainable and Evolving Car Driver Identification System based on Decision Trees. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Pietro Ducange; Michela Fazzolari; Riccardo Pecori (EAIS, 2022)

Using Machine Learning for early prediction of Heart Disease. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Martina Iammarino; Debora Montano; Chiara Verdone (EAIS, 2022)

A Machine Learning approach for Early Detection of Parkinson's Disease Using acoustic traces. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Martina Iammarino; Debora Montano; Chiara Verdone (EAIS, 2022)

An Empirical Study to Predict Student Performance Using Information of the Virtual Learning Environment. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Martina Iammarino; Debora Montano; Chiara Verdone (HELMeTO, 2022)

Is There Any Correlation between Refactoring and Design Smell Occurrence? - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Martina Iammarino; Debora Montano (ICSOFT, 2022)

Early Detection of Parkinson's Disease using Spiral Test and Echo State Networks. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Martina Iammarino; Chiara Verdone (IJCNN, 2022)

An enhanced UNet variant for Effective Lung Cancer Detection. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Martina Iammarino; Chiara Verdone (IJCNN, 2022)

Technical Debt Forecasting from Source Code Using Temporal Convolutional Networks. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Martina Iammarino (PROFES, 2022)

Design patterns mining using neural sub-graph matching. - Pasquale Ardimento; Lerina Aversano; Mario Luca Bernardi; Marta Cimitile (SAC, 2022)

Fuzzy-based Process Mining to Discover the Coding Behavior: Challenges and Future Works. - Pasquale Ardimento; Lerina Aversano; Mario Luca Bernardi; Marta Cimitile (OLUD@WCCI, 2022)

Using deep temporal convolutional networks to just-in-time forecast technical debt principal. - Pasquale Ardimento; Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Martina Iammarino (J. Syst. Softw., 2022)

Water stress classification using Convolutional Deep Neural Networks. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile (J. Univers. Comput. Sci., 2022)

Just-in-time software defect prediction using deep temporal convolutional networks. - Pasquale Ardimento; Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Martina Iammarino (Neural Comput. Appl., 2022)

Anomaly Detection of Medical IoT Traffic Using Machine Learning. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Debora Montano; Riccardo Pecori; Luca Veltri (DATA, 2023)

Machine Learning Applied to Speech Recordings for Parkinson's Disease Recognition. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Martina Iammarino; Antonella Madau; Chiara Verdone (DeLTA, 2023)

An Explainable Approach for Early Parkinson Disease Detection Using Deep Learning. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Martina Iammarino; Antonella Madau; Chiara Verdone (DeLTA, 2023)

An Empirical Study on the Relationship Between the Co-Occurrence of Design Smell and Refactoring Activities. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Martina Iammarino; Debora Montano (ENASE, 2023)

Early Parkinson's Disease Detection from EEG Traces Using Machine Learning Techniques. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Martina Iammarino; Debora Montano; Chiara Verdone (EUSFLAT/AGOP, 2023)

Explainable Deep Ensemble to Diagnose COVID-19 from CT Scans. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Riccardo Pecori; Chiara Verdone (EUSFLAT/AGOP, 2023)

Detecting the Usage of Large Language Models Exploiting Generative Adversarial Networks. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile (HELMeTO, 2023)

Machine and Deep Learning Techniques to Classify Arousal Judgments in Dynamic Virtual Experience of Architecture. - Riccardo Pecori; Paolo Presti; Pietro Avanzini; Lerina Aversano; Fausto Caruana; Marta Cimitile; Debora Montano; Davide Ruzzon; Mario Luca Bernardi; Giovanni Vecchiato (ICMLA, 2023)

Understanding Compiler Effects on Clone Detection Process. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Martina Iammarino; Debora Montano (ICSOFT, 2023)

Early Diagnosis of Parkinson's Disease Exploting Motor and Non-Motor Symptoms: Results from the PPMI Cohort. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Martina Iammarino; Antonella Madau; Chiara Verdone (KES, 2023)

Early Diagnosis of Cardiac Diseases using ECG Images and CNN-2D. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Debora Montano; Riccardo Pecori (KES, 2023)

Raman Spectroscopy of Cells for Cancer Classification Through Machine Learning. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Andrea Cusano; Martina Iammarino; Marco Pisco; Sara Spaziani; Chiara Verdone (MetroXRAINE, 2023)

UML Miner: A Tool for Mining UML Diagrams. - Pasquale Ardimento; Lerina Aversano; Mario Luca Bernardi; Vito Alessandro Carella; Marta Cimitile; Michele Scalera (MoDELS (Companion), 2023)

Forecasting the Developer's Impact in Managing the Technical Debt. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Martina Iammarino (PROFES (2), 2023)

Super-Resolution of Synthetic Aperture Radar Complex Data by Deep-Learning. - Pia Addabbo; Mario Luca Bernardi; Filippo Biondi; Marta Cimitile; Carmine Clemente; Nicomino Fiscante; Gaetano Giunta; Danilo Orlando; Linjie Yan (IEEE Access, 2023)

Forecasting technical debt evolution in software systems: an empirical study. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Martina Iammarino; Debora Montano (Frontiers Comput. Sci., 2023)

A systematic review on artificial intelligence techniques for detecting thyroid diseases. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Andrea Maiellaro; Riccardo Pecori (PeerJ Comput. Sci., 2023)

Data-aware process discovery for malware detection: an empirical study. - Mario Luca Bernardi; Marta Cimitile; Fabrizio Maria Maggi (Mach. Learn., 2023)

Evo-GUNet3++: Using evolutionary algorithms to train UNet-based architectures for efficient 3D lung cancer detection. - Pasquale Ardimento; Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Martina Iammarino; Chiara Verdone (Appl. Soft Comput., 2023)

A data-aware explainable deep learning approach for next activity prediction. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Martina Iammarino; Chiara Verdone (Eng. Appl. Artif. Intell., 2023)

DQFed: A Federated Learning Strategy for Non-IID Data based on a Quality-Driven Perspective. - Mario Luca Bernardi; Marta Cimitile; Muhammad Usman (FUZZ, 2024)

A Comparative Study of Transfer Learning on CNN-Based Models for Fault and Anomaly Detection in Industrial Processes. - Anita Salsano; Marialuisa Menanno; Mario Luca Bernardi (IEA/AIE, 2024)

Teaching UML using a RAG-based LLM. - Pasquale Ardimento; Mario Luca Bernardi; Marta Cimitile (IJCNN, 2024)

Report Generation from X-Ray imaging by Retrieval-Augmented Generation and improved Image-Text Matching. - Mario Luca Bernardi; Marta Cimitile (IJCNN, 2024)

Automatic Job Safety Report Generation using RAG-based LLMs. - Mario Luca Bernardi; Marta Cimitile; Riccardo Pecori (IJCNN, 2024)

A preliminary study on Business Process-aware Large Language Models. - Mario Luca Bernardi; Angelo Casciani; Marta Cimitile; Andrea Marrella (Ital-IA, 2024)

A RAG-based Feedback Tool to Augment UML Class Diagram Learning. - Pasquale Ardimento; Mario Luca Bernardi; Marta Cimitile; Michele Scalera (MoDELS (Companion), 2024)

Enhancing Software Modeling Learning with AI-Powered Scaffolding. - Pasquale Ardimento; Mario Luca Bernardi; Marta Cimitile; Michele Scalera (MoDELS (Companion), 2024)

Conversational Systems for AI-Augmented Business Process Management. - Angelo Casciani; Mario Luca Bernardi; Marta Cimitile; Andrea Marrella (RCIS (1), 2024)

Characterization of Heart Diseases per Single Lead Using ECG Images and CNN-2D. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Debora Montano; Riccardo Pecori (Sensors, 2024)

Explainable Anomaly Detection of Synthetic Medical IoT Traffic Using Machine Learning. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Debora Montano; Riccardo Pecori; Luca Veltri (SN Comput. Sci., 2024)

Conversing with business process-aware large language models: the BPLLM framework. - Mario Luca Bernardi; Angelo Casciani; Marta Cimitile; Andrea Marrella (J. Intell. Inf. Syst., 2024)

Back to the Model: UML Miner and the Power of Process Mining. - Pasquale Ardimento; Mario Luca Bernardi; Marta Cimitile; Michele Scalera (ICSOFT, 2025)