Mario Luca Bernardi

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 88

Top Venues

Publications

Anita Salsano, Marialuisa Menanno, Mario Luca Bernardi
A Comparative Study of Transfer Learning on CNN-Based Models for Fault and Anomaly Detection in Industrial Processes. IEA/AIE (2024)
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Debora Montano, Riccardo Pecori
Characterization of Heart Diseases per Single Lead Using ECG Images and CNN-2D. Sensors 24 (11) (2024)
Mario Luca Bernardi, Marta Cimitile, Muhammad Usman
DQFed: A Federated Learning Strategy for Non-IID Data based on a Quality-Driven Perspective. FUZZ (2024)
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Debora Montano, Riccardo Pecori, Luca Veltri
Explainable Anomaly Detection of Synthetic Medical IoT Traffic Using Machine Learning. SN Comput. Sci. 5 (5) (2024)
Angelo Casciani, Mario Luca Bernardi, Marta Cimitile, Andrea Marrella
Conversational Systems for AI-Augmented Business Process Management. RCIS (1) (2024)
Mario Luca Bernardi, Marta Cimitile, Fabrizio Maria Maggi
Data-aware process discovery for malware detection: an empirical study. Mach. Learn. 112 (4) (2023)
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano
Understanding Compiler Effects on Clone Detection Process. ICSOFT (2023)
Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Vito Alessandro Carella, Marta Cimitile, Michele Scalera
UML Miner: A Tool for Mining UML Diagrams. MoDELS (Companion) (2023)
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Antonella Madau, Chiara Verdone
Early Diagnosis of Parkinson's Disease Exploting Motor and Non-Motor Symptoms: Results from the PPMI Cohort. KES (2023)
Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Chiara Verdone
Evo-GUNet3++: Using evolutionary algorithms to train UNet-based architectures for efficient 3D lung cancer detection. Appl. Soft Comput. 144 (2023)
Pia Addabbo, Mario Luca Bernardi, Filippo Biondi, Marta Cimitile, Carmine Clemente, Nicomino Fiscante, Gaetano Giunta, Danilo Orlando, Linjie Yan
Super-Resolution of Synthetic Aperture Radar Complex Data by Deep-Learning. IEEE Access 11 (2023)
Riccardo Pecori, Paolo Presti, Pietro Avanzini, Lerina Aversano, Fausto Caruana, Marta Cimitile, Debora Montano, Davide Ruzzon, Mario Luca Bernardi, Giovanni Vecchiato
Machine and Deep Learning Techniques to Classify Arousal Judgments in Dynamic Virtual Experience of Architecture. ICMLA (2023)
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano, Chiara Verdone
Early Parkinson's Disease Detection from EEG Traces Using Machine Learning Techniques. EUSFLAT/AGOP (2023)
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano
An Empirical Study on the Relationship Between the Co-Occurrence of Design Smell and Refactoring Activities. ENASE (2023)
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Andrea Cusano, Martina Iammarino, Marco Pisco, Sara Spaziani, Chiara Verdone
Raman Spectroscopy of Cells for Cancer Classification Through Machine Learning. MetroXRAINE (2023)
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano
Forecasting technical debt evolution in software systems: an empirical study. Frontiers Comput. Sci. 17 (3) (2023)
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Andrea Maiellaro, Riccardo Pecori
A systematic review on artificial intelligence techniques for detecting thyroid diseases. PeerJ Comput. Sci. 9 (2023)
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Antonella Madau, Chiara Verdone
An Explainable Approach for Early Parkinson Disease Detection Using Deep Learning. DeLTA (2023)
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Antonella Madau, Chiara Verdone
Machine Learning Applied to Speech Recordings for Parkinson's Disease Recognition. DeLTA (2023)
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino
Forecasting the Developer's Impact in Managing the Technical Debt. PROFES (2) (2023)
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Debora Montano, Riccardo Pecori, Luca Veltri
Anomaly Detection of Medical IoT Traffic Using Machine Learning. DATA (2023)
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Chiara Verdone
A data-aware explainable deep learning approach for next activity prediction. Eng. Appl. Artif. Intell. 126 (2023)
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Riccardo Pecori, Chiara Verdone
Explainable Deep Ensemble to Diagnose COVID-19 from CT Scans. EUSFLAT/AGOP (2023)
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Debora Montano, Riccardo Pecori
Early Diagnosis of Cardiac Diseases using ECG Images and CNN-2D. KES (2023)
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino
Technical Debt Forecasting from Source Code Using Temporal Convolutional Networks. PROFES (2022)
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Chiara Verdone
An enhanced UNet variant for Effective Lung Cancer Detection. IJCNN (2022)
Lerina Aversano, Mario Luca Bernardi, Vincenzo Calgano, Marta Cimitile, Concetta Esposito, Martina Iammarino, Marco Pisco, Sara Spaziani, Chiara Verdone
Using Machine Learning for Classification of Cancer Cells from Raman Spectroscopy. DeLTA (2022)
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano, Chiara Verdone
An Empirical Study to Predict Student Performance Using Information of the Virtual Learning Environment. HELMeTO (2022)
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano
Is There Any Correlation between Refactoring and Design Smell Occurrence? ICSOFT (2022)
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano, Chiara Verdone
A Machine Learning approach for Early Detection of Parkinson's Disease Using acoustic traces. EAIS (2022)
Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile
Fuzzy-based Process Mining to Discover the Coding Behavior: Challenges and Future Works. OLUD@WCCI (2022)
Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile
Design patterns mining using neural sub-graph matching. SAC (2022)
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Pietro Ducange, Michela Fazzolari, Riccardo Pecori
An Explainable and Evolving Car Driver Identification System based on Decision Trees. EAIS (2022)
Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino
Just-in-time software defect prediction using deep temporal convolutional networks. Neural Comput. Appl. 34 (5) (2022)
Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino
Using deep temporal convolutional networks to just-in-time forecast technical debt principal. J. Syst. Softw. 194 (2022)
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile
Water stress classification using Convolutional Deep Neural Networks. J. Univers. Comput. Sci. 28 (3) (2022)
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano, Chiara Verdone
Using Machine Learning for early prediction of Heart Disease. EAIS (2022)
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Chiara Verdone
Early Detection of Parkinson's Disease using Spiral Test and Echo State Networks. IJCNN (2022)
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Riccardo Pecori
Anomaly Detection of actual IoT traffic flows through Deep Learning. ICMLA (2021)
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Riccardo Pecori
Deep neural networks ensemble to detect COVID-19 from CT scans. Pattern Recognit. 120 (2021)
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Paolo Emidio Macchia, Immacolata Cristina Nettore, Chiara Verdone
Thyroid Disease Treatment prediction with machine learning approaches. KES (2021)
Pia Addabbo, Mario Luca Bernardi, Filippo Biondi, Marta Cimitile, Carmine Clemente, Danilo Orlando
Temporal Convolutional Neural Networks for Radar Micro-Doppler Based Gait Recognition. Sensors 21 (2) (2021)
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Riccardo Pecori
Continuous authentication using deep neural networks ensemble on keystroke dynamics. PeerJ Comput. Sci. 7 (2021)
Gionatan Gallo, Mario Luca Bernardi, Marta Cimitile, Pietro Ducange
An Explainable Approach for Car Driver Identification. FUZZ-IEEE (2021)
Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile
Deep Neural Networks Ensemble for Lung Nodule Detection on Chest CT Scans. IJCNN (2021)
Mario Luca Bernardi
Keynote: Edge Intelligence - Emerging Solutions and Open Challenges. PerCom Workshops (2021)
Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino
Temporal convolutional networks for just-in-time design smells prediction using fine-grained software metrics. Neurocomputing 463 (2021)
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino
Technical Debt predictive model through Temporal Convolutional Network. IJCNN (2021)
Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino
Transfer Learning for Just-in-Time Design Smells Prediction using Temporal Convolutional Networks. ICSOFT (2021)
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Riccardo Pecori
A systematic review on Deep Learning approaches for IoT security. Comput. Sci. Rev. 40 (2021)
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Riccardo Pecori
Early Detection of Parkinson Disease using Deep Neural Networks on Gait Dynamics. IJCNN (2020)
Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile
Malware Phylogeny Analysis using Data-Aware Declarative Process Mining. EAIS (2020)
Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile
Temporal Convolutional Networks for Just-in-Time Software Defect Prediction. ICSOFT (2020)
Martina Iammarino, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile
A Topic Modeling Approach To Evaluate The Comments Consistency To Source Code. IJCNN (2020)
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Riccardo Pecori
Fuzzy Neural Networks to Detect Parkinson Disease. FUZZ-IEEE (2020)
Antonio Angrisano, Mario Luca Bernardi, Marta Cimitile, Salvatore Gaglione, Mario Vultaggio
Identification of Walker Identity Using Smartphone Sensors: An Experiment Using Ensemble Learning. IEEE Access 8 (2020)
Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile, Giuseppe De Ruvo
Reusing Bugged Source Code to Support Novice Programmers in Debugging Tasks. ACM Trans. Comput. Educ. 20 (1) (2020)
Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile
Software Analytics to Support Students in Object-Oriented Programming Tasks: An Empirical Study. IEEE Access 8 (2020)
Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile
Towards automatic assessment of object-oriented programs. ICSE (Companion Volume) (2020)
Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile
Data-Aware Declarative Process Mining for Malware Detection. IJCNN (2020)
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Kateryna Romanyuk
Investigating on the Relationships between Design Smells Removals and Refactorings. ICSOFT (2020)
Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile, Giuseppe De Ruvo
Learning analytics to improve coding abilities: a fuzzy-based process mining approach. FUZZ-IEEE (2019)
Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile, Fabrizio Maria Maggi
Evaluating coding behavior in software development processes: a process mining approach. ICSSP (2019)
Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile, Giuseppe De Ruvo
Mining Developer's Behavior from Web-Based IDE Logs. WETICE (2019)
Mario Luca Bernardi, Marta Cimitile, Fabio Martinelli, Francesco Mercaldo
Keystroke Analysis for User Identification using Deep Neural Networks. IJCNN (2019)
Mario Luca Bernardi, Marta Cimitile, Damiano Distante, Fabio Martinelli, Francesco Mercaldo
Dynamic malware detection and phylogeny analysis using process mining. Int. J. Inf. Sec. 18 (3) (2019)
Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile
On the Students' Misconceptions in Object-Oriented Language Constructs. HELMeTO (2019)
Mario Luca Bernardi, Marta Cimitile, Fabio Martinelli, Francesco Mercaldo
An Ensemble Fuzzy Logic Approach to Game Bot Detection through Behavioural Features. FUZZ-IEEE (2018)
Mario Luca Bernardi, Marta Cimitile, Francesco Mercaldo
Cross-Organisational Process Mining in Cloud Environments. J. Inf. Knowl. Manag. 17 (2) (2018)
Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile
A Multi-source Machine Learning Approach to Predict Defect Prone Components. ICSOFT (2018)
Giovanni Acampora, Mario Luca Bernardi, Marta Cimitile, Genoveffa Tortora, Autilia Vitiello
A Fuzzy Clustering-based Approach to study Malware Phylogeny. FUZZ-IEEE (2018)
Mario Luca Bernardi, Gerardo Canfora, Giuseppe A. Di Lucca, Massimiliano Di Penta, Damiano Distante
The relation between developers' communication and fix-Inducing changes: An empirical study. J. Syst. Softw. 140 (2018)
Mario Luca Bernardi, Marta Cimitile, Fabio Martinelli, Francesco Mercaldo
Driver Identification: a Time Series Classification Approach. IJCNN (2018)
Giovanni Acampora, Mario Luca Bernardi, Marta Cimitile, Genoveffa Tortora, Autilia Vitiello
A fuzzy-based autoscaling approach for process centered cloud systems. FUZZ-IEEE (2017)
Mario Luca Bernardi, Marta Cimitile, Fabio Martinelli, Francesco Mercaldo
Game Bot Detection in Online Role Player Game through Behavioural Features. ICSOFT (2017)
Mario Luca Bernardi, Marta Cimitile, Fabio Martinelli, Francesco Mercaldo
A fuzzy-based process mining approach for dynamic malware detection. FUZZ-IEEE (2017)
Mario Luca Bernardi, Marta Cimitile, Fabio Martinelli, Francesco Mercaldo
A time series classification approach to game bot detection. WIMS (2017)
Mario Luca Bernardi, Marta Cimitile, Fabio Martinelli, Francesco Mercaldo
A Machine Learning Approach for Game Bot Detection Through Behavioural Features. ICSOFT (Selected Papers) (2017)
Mario Luca Bernardi, Marta Cimitile
Reducing Static Dependences Exploiting a Declarative Design Patterns Framework. ICSOFT-PT (2016)
Mario Luca Bernardi, Marta Cimitile, Fabrizio Maria Maggi
Automated development of constraint-driven web applications. SAC (2016)
Mario Luca Bernardi, Marta Cimitile, Francesco Mercaldo
Process Mining Meets Malware Evolution: A Study of the Behavior of Malicious Code. CANDAR (2016)
Mario Luca Bernardi, Marta Cimitile, Chiara Di Francescomarino, Fabrizio Maria Maggi
Do activity lifecycles affect the validity of a business rule in a business process? Inf. Syst. 62 (2016)
Mario Luca Bernardi, Marta Cimitile, Giuseppe A. Di Lucca
Mining static and dynamic crosscutting concerns: a role-based approach. J. Softw. Evol. Process. 28 (5) (2016)
Mario Luca Bernardi, Marta Cimitile, Damiano Distante, Francesco Mercaldo
A constraint-driven approach for dynamic malware detection. PST (2016)
Mario Luca Bernardi, Marta Cimitile, Giuseppe De Ruvo, Giuseppe A. Di Lucca, Antonella Santone
Improving Design Patterns Finder Precision Using a Model Checking Approach. CAiSE Forum (2015)
Mario Luca Bernardi, Marta Cimitile, Giuseppe De Ruvo, Giuseppe A. Di Lucca, Antonella Santone
Model Checking to Improve Precision of Design Pattern Instances Identification in OO Systems. ICSOFT-PT (2015)
Mario Luca Bernardi, Marta Cimitile, Giuseppe De Ruvo, Giuseppe A. Di Lucca, Antonella Santone
Integrating Model Driven and Model Checking to Mine Design Patterns. ICSOFT (Selected Papers) (2015)
Claudio Di Ciccio, Mario Luca Bernardi, Marta Cimitile, Fabrizio Maria Maggi
Generating Event Logs Through the Simulation of Declare Models. EOMAS@CAiSE (2015)
Mario Luca Bernardi, Marta Cimitile, Giuseppe A. Di Lucca
Declarative design pattern-based development using aspect oriented programming. SAC (2014)
Mario Luca Bernardi, Giuseppe Antonio Di Lucca, Damiano Distante
Model-driven fast prototyping of RIAs: From conceptual models to running applications. ICACCI (2014)
Mario Luca Bernardi, Marta Cimitile, Giuseppe A. Di Lucca
Design pattern detection using a DSL-driven graph matching approach. J. Softw. Evol. Process. 26 (12) (2014)
Mario Luca Bernardi, Marta Cimitile, Fabrizio Maria Maggi
Discovering cross-organizational business rules from the cloud. CIDM (2014)
Mario Luca Bernardi, Marta Cimitile, Chiara Di Francescomarino, Fabrizio Maria Maggi
Using Discriminative Rule Mining to Discover Declarative Process Models with Non-atomic Activities. RuleML (2014)
Mario Luca Bernardi, Marta Cimitile, Giuseppe Antonio Di Lucca
A model-driven graph-matching approach for design pattern detection. WCRE (2013)
Mario Luca Bernardi, Marta Cimitile, Fabrizio Maria Maggi
Process Lines for Automatic Workflow Development. ICSOFT (2013)
Mario Luca Bernardi, Marta Cimitile, Damiano Distante
Web applications design recovery and evolution with RE-UWA. J. Softw. Evol. Process. 25 (8) (2013)
Mario Luca Bernardi, Marta Cimitile, Giuseppe A. Di Lucca
An Aspect Oriented Framework for Flexible Design Pattern-based Development. ICSOFT (2013)
Mario Luca Bernardi, Giuseppe A. Di Lucca, Damiano Distante, Marta Cimitile
Model driven evolution of web applications. WSE (2013)
Mario Luca Bernardi, Marta Cimitile, Giuseppe A. Di Lucca, Fabrizio Maria Maggi
Development of flexible process-centric web applications: An integrated model driven approach. WSE (2012)
Mario Luca Bernardi, Marta Cimitile, Giuseppe A. Di Lucca, Fabrizio Maria Maggi
M3D: a tool for the model driven development of web applications. WIDM (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Mario Luca Bernardi