Mario Luca Bernardi
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
66
Venues
25
Active years
2007–2026
Best venue rank
A*
Where they publish
- CICSoft16 papers
- BIJCNN14 papers
- ACaiSE3 papers
- AMODELS3 papers
- BKES3 papers
- MulticonferenceSAC3 papers
- CEUSFLAT2 papers
- CICMLA2 papers
- BPROFES2 papers
- A*ICSE2 papers
- NationalQUATIC2 papers
- CWorldCIST1 paper
- AAIED1 paper
- CCoDIT1 paper
- BPRICAI1 paper
- BRCIS1 paper
- CDATA1 paper
- BENASE1 paper
- A*PERCOM1 paper
- CWETICE1 paper
- CPST1 paper
- CCIDM1 paper
- BEDOC1 paper
- AMSR1 paper
- BCOMPSAC1 paper
Papers
66 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | CaiSE | Predictive Process Monitoring via Automated Planning. | Angelo Casciani, Alessandra Giovannetti, Silvia Macagnano, Andrea Marrella, Mario Luca Bernardi, Marta Cimitile, Fabrizio Maria Maggi |
| 2026 | ICSoft | From Data Lifting to Risk Estimation: A Process-Aware Pipeline for Clinical Pathway Monitoring. | Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile, Samuele Latorre |
| 2026 | WorldCIST | Improving Hospital Process Management Through Process Mining: A Case Study on COVID-19 Clinical Pathways. | Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile, Samuele Latorre |
| 2025 | AIED | A RAG-Enhanced AI Feedback for UML Education. | Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile, Michele Scalera |
| 2025 | CoDIT | Concept Drift Detection using Transformer Autoencoder. | Mario Luca Bernardi, Marta Cimitile, Anna Vacca |
| 2025 | IJCNN | A Resource-aware Aadaptation Approach for Heterogeneous Federated Learning. | Mario Luca Bernardi, Marta Cimitile, Muhammad Usman, Anna Vacca |
| 2025 | IJCNN | Transformer-based Poisoning Detection using Concept Drift Analysis. | Mario Luca Bernardi, Marta Cimitile, Muhammad Usman, Anna Vacca |
| 2025 | ICSoft | Back to the Model: UML Miner and the Power of Process Mining. | Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile, Michele Scalera |
| 2025 | PRICAI | In-Vivo Biosensors and Visual Data for Precision Agriculture: a Multimodal Approach for Water Stress Detection in Tomato Plants. | Giovanni Panella, Mario Luca Bernardi, Marta Cimitile, Michela Janni, Filippo Vurro, Francesco Denaro, Manuele Bettelli, Riccardo Pecori |
| 2024 | IJCNN | Teaching UML using a RAG-based LLM. | Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile |
| 2024 | IJCNN | Report Generation from X-Ray imaging by Retrieval-Augmented Generation and improved Image-Text Matching. | Mario Luca Bernardi, Marta Cimitile |
| 2024 | IJCNN | Automatic Job Safety Report Generation using RAG-based LLMs. | Mario Luca Bernardi, Marta Cimitile, Riccardo Pecori |
| 2024 | MODELS | A RAG-based Feedback Tool to Augment UML Class Diagram Learning. | Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile, Michele Scalera |
| 2024 | MODELS | Enhancing Software Modeling Learning with AI-Powered Scaffolding. | Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile, Michele Scalera |
| 2024 | RCIS | Conversational Systems for AI-Augmented Business Process Management. | Angelo Casciani, Mario Luca Bernardi, Marta Cimitile, Andrea Marrella |
| 2023 | DATA | Anomaly Detection of Medical IoT Traffic Using Machine Learning. | Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Debora Montano, Riccardo Pecori, Luca Veltri |
| 2023 | ENASE | 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 |
| 2023 | EUSFLAT | 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 |
| 2023 | EUSFLAT | Explainable Deep Ensemble to Diagnose COVID-19 from CT Scans. | Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Riccardo Pecori, Chiara Verdone |
| 2023 | ICMLA | 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 |
| 2023 | ICSoft | Understanding Compiler Effects on Clone Detection Process. | Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano |
| 2023 | KES | 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 |
| 2023 | KES | Early Diagnosis of Cardiac Diseases using ECG Images and CNN-2D. | Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Debora Montano, Riccardo Pecori |
| 2023 | MODELS | UML Miner: A Tool for Mining UML Diagrams. | Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Vito Alessandro Carella, Marta Cimitile, Michele Scalera |
| 2023 | PROFES | Forecasting the Developer's Impact in Managing the Technical Debt. | Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino |
| 2022 | IJCNN | Early Detection of Parkinson's Disease using Spiral Test and Echo State Networks. | Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Chiara Verdone |
| 2022 | IJCNN | An enhanced UNet variant for Effective Lung Cancer Detection. | Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Chiara Verdone |
| 2022 | ICSoft | Is There Any Correlation between Refactoring and Design Smell Occurrence? | Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano |
| 2022 | PROFES | Technical Debt Forecasting from Source Code Using Temporal Convolutional Networks. | Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino |
| 2022 | SAC | Design patterns mining using neural sub-graph matching. | Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile |
| 2021 | ICMLA | Anomaly Detection of actual IoT traffic flows through Deep Learning. | Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Riccardo Pecori |
| 2021 | IJCNN | Deep Neural Networks Ensemble for Lung Nodule Detection on Chest CT Scans. | Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile |
| 2021 | IJCNN | Technical Debt predictive model through Temporal Convolutional Network. | Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino |
| 2021 | ICSoft | Transfer Learning for Just-in-Time Design Smells Prediction using Temporal Convolutional Networks. | Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino |
| 2021 | KES | 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 |
| 2021 | PERCOM | Keynote: Edge Intelligence - Emerging Solutions and Open Challenges. | Mario Luca Bernardi |
| 2020 | IJCNN | Data-Aware Declarative Process Mining for Malware Detection. | Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile |
| 2020 | IJCNN | Early Detection of Parkinson Disease using Deep Neural Networks on Gait Dynamics. | Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Riccardo Pecori |
| 2020 | IJCNN | A Topic Modeling Approach To Evaluate The Comments Consistency To Source Code. | Martina Iammarino, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile |
| 2020 | ICSE | Towards automatic assessment of object-oriented programs. | Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile |
| 2020 | ICSoft | Temporal Convolutional Networks for Just-in-Time Software Defect Prediction. | Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile |
| 2020 | ICSoft | Investigating on the Relationships between Design Smells Removals and Refactorings. | Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Kateryna Romanyuk |
| 2019 | IJCNN | Keystroke Analysis for User Identification using Deep Neural Networks. | Mario Luca Bernardi, Marta Cimitile, Fabio Martinelli, Francesco Mercaldo |
| 2019 | WETICE | Mining Developer's Behavior from Web-Based IDE Logs. | Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile, Giuseppe De Ruvo |
| 2018 | IJCNN | Driver Identification: a Time Series Classification Approach. | Mario Luca Bernardi, Marta Cimitile, Fabio Martinelli, Francesco Mercaldo |
| 2018 | ICSoft | A Multi-source Machine Learning Approach to Predict Defect Prone Components. | Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile |
| 2017 | ICSoft | Game Bot Detection in Online Role Player Game through Behavioural Features. | Mario Luca Bernardi, Marta Cimitile, Fabio Martinelli, Francesco Mercaldo |
| 2017 | ICSoft | A Machine Learning Approach for Game Bot Detection Through Behavioural Features. | Mario Luca Bernardi, Marta Cimitile, Fabio Martinelli, Francesco Mercaldo |
| 2016 | ICSoft | Reducing Static Dependences Exploiting a Declarative Design Patterns Framework. | Mario Luca Bernardi, Marta Cimitile |
| 2016 | PST | A constraint-driven approach for dynamic malware detection. | Mario Luca Bernardi, Marta Cimitile, Damiano Distante, Francesco Mercaldo |
| 2016 | SAC | Automated development of constraint-driven web applications. | Mario Luca Bernardi, Marta Cimitile, Fabrizio Maria Maggi |
| 2015 | CaiSE | Improving Design Patterns Finder Precision Using a Model Checking Approach. | Mario Luca Bernardi, Marta Cimitile, Giuseppe De Ruvo, Giuseppe A. Di Lucca, Antonella Santone |
| 2015 | CaiSE | Generating Event Logs Through the Simulation of Declare Models. | Claudio Di Ciccio, Mario Luca Bernardi, Marta Cimitile, Fabrizio Maria Maggi |
| 2015 | ICSoft | 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 |
| 2015 | ICSoft | Integrating Model Driven and Model Checking to Mine Design Patterns. | Mario Luca Bernardi, Marta Cimitile, Giuseppe De Ruvo, Giuseppe A. Di Lucca, Antonella Santone |
| 2014 | CIDM | Discovering cross-organizational business rules from the cloud. | Mario Luca Bernardi, Marta Cimitile, Fabrizio Maria Maggi |
| 2014 | SAC | Declarative design pattern-based development using aspect oriented programming. | Mario Luca Bernardi, Marta Cimitile, Giuseppe A. Di Lucca |
| 2013 | ICSoft | An Aspect Oriented Framework for Flexible Design Pattern-based Development. | Mario Luca Bernardi, Marta Cimitile, Giuseppe A. Di Lucca |
| 2013 | ICSoft | Process Lines for Automatic Workflow Development. | Mario Luca Bernardi, Marta Cimitile, Fabrizio Maria Maggi |
| 2012 | EDOC | Using Declarative Workflow Languages to Develop Process-Centric Web Applications. | Mario Luca Bernardi, Marta Cimitile, Giuseppe A. Di Lucca, Fabrizio Maria Maggi |
| 2012 | ICSoft | Model Driven Development of Process-centric Web Applications. | Mario Luca Bernardi, Marta Cimitile, Fabrizio Maria Maggi |
| 2011 | MSR | What topics do Firefox and Chrome contributors discuss? | Mario Luca Bernardi, Carmine Sementa, Quirino Zagarese, Damiano Distante, Massimiliano Di Penta |
| 2010 | ICSE | A metric model for aspects' coupling. | Mario Luca Bernardi, Giuseppe A. Di Lucca |
| 2010 | QUATIC | Improving the Design of Existing Web Applications. | Mario Luca Bernardi, Giuseppe A. Di Lucca, Damiano Distante |
| 2008 | COMPSAC | A Taxonomy of Interactions Introduced by Aspects. | Mario Luca Bernardi, Giuseppe A. Di Lucca |
| 2007 | QUATIC | Testing Aspect Oriented Programs: an Approach Based on the Coverage of the Interactions among Advices and Methods. | Mario Luca Bernardi, Giuseppe A. Di Lucca |