Mario Luca Bernardi

Orcid: 0000-0002-3223-7032

According to our database1, Mario Luca Bernardi authored at least 123 papers between 2005 and 2023.

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Bibliography

2023
Evo-GUNet3++: Using evolutionary algorithms to train UNet-based architectures for efficient 3D lung cancer detection.
Appl. Soft Comput., September, 2023

Data-aware process discovery for malware detection: an empirical study.
Mach. Learn., April, 2023

A systematic review on artificial intelligence techniques for detecting thyroid diseases.
PeerJ Comput. Sci., 2023

Forecasting technical debt evolution in software systems: an empirical study.
Frontiers Comput. Sci., 2023

Super-Resolution of Synthetic Aperture Radar Complex Data by Deep-Learning.
IEEE Access, 2023

Forecasting the Developer's Impact in Managing the Technical Debt.
Proceedings of the Product-Focused Software Process Improvement, 2023

UML Miner: A Tool for Mining UML Diagrams.
Proceedings of the ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, 2023

Raman Spectroscopy of Cells for Cancer Classification Through Machine Learning.
Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023

Early Diagnosis of Cardiac Diseases using ECG Images and CNN-2D.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

Early Diagnosis of Parkinson's Disease Exploting Motor and Non-Motor Symptoms: Results from the PPMI Cohort.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

Understanding Compiler Effects on Clone Detection Process.
Proceedings of the 18th International Conference on Software Technologies, 2023

Machine and Deep Learning Techniques to Classify Arousal Judgments in Dynamic Virtual Experience of Architecture.
Proceedings of the International Conference on Machine Learning and Applications, 2023

Explainable Deep Ensemble to Diagnose COVID-19 from CT Scans.
Proceedings of the Fuzzy Logic and Technology, and Aggregation Operators, 2023

Early Parkinson's Disease Detection from EEG Traces Using Machine Learning Techniques.
Proceedings of the Fuzzy Logic and Technology, and Aggregation Operators, 2023

An Empirical Study on the Relationship Between the Co-Occurrence of Design Smell and Refactoring Activities.
Proceedings of the 18th International Conference on Evaluation of Novel Approaches to Software Engineering, 2023

An Explainable Approach for Early Parkinson Disease Detection Using Deep Learning.
Proceedings of the Deep Learning Theory and Applications - 4th International Conference, 2023

Machine Learning Applied to Speech Recordings for Parkinson's Disease Recognition.
Proceedings of the Deep Learning Theory and Applications - 4th International Conference, 2023

Anomaly Detection of Medical IoT Traffic Using Machine Learning.
Proceedings of the 12th International Conference on Data Science, 2023

2022
Just-in-time software defect prediction using deep temporal convolutional networks.
Neural Comput. Appl., 2022

Water stress classification using Convolutional Deep Neural Networks.
J. Univers. Comput. Sci., 2022

Using deep temporal convolutional networks to just-in-time forecast technical debt principal.
J. Syst. Softw., 2022

Fuzzy-based Process Mining to Discover the Coding Behavior: Challenges and Future Works.
Proceedings of the First Workshop on Online Learning from Uncertain Data Streams (OLUD 2022) co-located with IEEE World Congress on Computational Intelligence (WCCI 2022), 2022

Design patterns mining using neural sub-graph matching.
Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

Technical Debt Forecasting from Source Code Using Temporal Convolutional Networks.
Proceedings of the Product-Focused Software Process Improvement, 2022

An enhanced UNet variant for Effective Lung Cancer Detection.
Proceedings of the International Joint Conference on Neural Networks, 2022

Early Detection of Parkinson's Disease using Spiral Test and Echo State Networks.
Proceedings of the International Joint Conference on Neural Networks, 2022

Is There Any Correlation between Refactoring and Design Smell Occurrence?
Proceedings of the 17th International Conference on Software Technologies, 2022

An Empirical Study to Predict Student Performance Using Information of the Virtual Learning Environment.
Proceedings of the Higher Education Learning Methodologies and Technologies Online, 2022

A Machine Learning approach for Early Detection of Parkinson's Disease Using acoustic traces.
Proceedings of the IEEE International Conference on Evolving and Adaptive Intelligent System, 2022

Using Machine Learning for early prediction of Heart Disease.
Proceedings of the IEEE International Conference on Evolving and Adaptive Intelligent System, 2022

An Explainable and Evolving Car Driver Identification System based on Decision Trees.
Proceedings of the IEEE International Conference on Evolving and Adaptive Intelligent System, 2022

Using Machine Learning for Classification of Cancer Cells from Raman Spectroscopy.
Proceedings of the 3rd International Conference on Deep Learning Theory and Applications, 2022

2021
Temporal Convolutional Neural Networks for Radar Micro-Doppler Based Gait Recognition.
Sensors, 2021

Deep neural networks ensemble to detect COVID-19 from CT scans.
Pattern Recognit., 2021

Continuous authentication using deep neural networks ensemble on keystroke dynamics.
PeerJ Comput. Sci., 2021

Temporal convolutional networks for just-in-time design smells prediction using fine-grained software metrics.
Neurocomputing, 2021

A systematic review on Deep Learning approaches for IoT security.
Comput. Sci. Rev., 2021

Keynote: Edge Intelligence - Emerging Solutions and Open Challenges.
Proceedings of the 19th IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2021

Thyroid Disease Treatment prediction with machine learning approaches.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021

Technical Debt predictive model through Temporal Convolutional Network.
Proceedings of the International Joint Conference on Neural Networks, 2021

Deep Neural Networks Ensemble for Lung Nodule Detection on Chest CT Scans.
Proceedings of the International Joint Conference on Neural Networks, 2021

Transfer Learning for Just-in-Time Design Smells Prediction using Temporal Convolutional Networks.
Proceedings of the 16th International Conference on Software Technologies, 2021

Anomaly Detection of actual IoT traffic flows through Deep Learning.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

An Explainable Approach for Car Driver Identification.
Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021

2020
A Machine Learning Approach for Walker Identification Using Smartphone Sensors.
Proceedings of the Complex Pattern Mining - New Challenges, Methods and Applications, 2020

Reusing Bugged Source Code to Support Novice Programmers in Debugging Tasks.
ACM Trans. Comput. Educ., 2020

Software Analytics to Support Students in Object-Oriented Programming Tasks: An Empirical Study.
IEEE Access, 2020

Identification of Walker Identity Using Smartphone Sensors: An Experiment Using Ensemble Learning.
IEEE Access, 2020

A Topic Modeling Approach To Evaluate The Comments Consistency To Source Code.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Early Detection of Parkinson Disease using Deep Neural Networks on Gait Dynamics.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Data-Aware Declarative Process Mining for Malware Detection.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Investigating on the Relationships between Design Smells Removals and Refactorings.
Proceedings of the 15th International Conference on Software Technologies, 2020

Temporal Convolutional Networks for Just-in-Time Software Defect Prediction.
Proceedings of the 15th International Conference on Software Technologies, 2020

Towards automatic assessment of object-oriented programs.
Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Companion Volume, Seoul, South Korea, 27 June, 2020

Fuzzy Neural Networks to Detect Parkinson Disease.
Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

Malware Phylogeny Analysis using Data-Aware Declarative Process Mining.
Proceedings of the 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2020

2019
Dynamic malware detection and phylogeny analysis using process mining.
Int. J. Inf. Sec., 2019

Mining Developer's Behavior from Web-Based IDE Logs.
Proceedings of the 28th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, 2019

Evaluating coding behavior in software development processes: a process mining approach.
Proceedings of the International Conference on Software and System Processes, 2019

Keystroke Analysis for User Identification using Deep Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2019

On the Students' Misconceptions in Object-Oriented Language Constructs.
Proceedings of the Higher Education Learning Methodologies and Technologies Online, 2019

Learning analytics to improve coding abilities: a fuzzy-based process mining approach.
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

2018
The relation between developers' communication and fix-Inducing changes: An empirical study.
J. Syst. Softw., 2018

Cross-Organisational Process Mining in Cloud Environments.
J. Inf. Knowl. Manag., 2018

Driver Identification: a Time Series Classification Approach.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

A Multi-source Machine Learning Approach to Predict Defect Prone Components.
Proceedings of the 13th International Conference on Software Technologies, 2018

An Ensemble Fuzzy Logic Approach to Game Bot Detection through Behavioural Features.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

A Fuzzy Clustering-based Approach to study Malware Phylogeny.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

2017
A time series classification approach to game bot detection.
Proceedings of the 7th International Conference on Web Intelligence, Mining and Semantics, 2017

A Machine Learning Approach for Game Bot Detection Through Behavioural Features.
Proceedings of the Software Technologies - 12th International Joint Conference, 2017

Game Bot Detection in Online Role Player Game through Behavioural Features.
Proceedings of the 12th International Conference on Software Technologies, 2017

A fuzzy-based process mining approach for dynamic malware detection.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

A fuzzy-based autoscaling approach for process centered cloud systems.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

2016
Mining static and dynamic crosscutting concerns: a role-based approach.
J. Softw. Evol. Process., 2016

Do activity lifecycles affect the validity of a business rule in a business process?
Inf. Syst., 2016

Automated development of constraint-driven web applications.
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

A constraint-driven approach for dynamic malware detection.
Proceedings of the 14th Annual Conference on Privacy, Security and Trust, 2016

Reducing Static Dependences Exploiting a Declarative Design Patterns Framework.
Proceedings of the 11th International Joint Conference on Software Technologies (ICSOFT 2016) - Volume 2: ICSOFT-PT, Lisbon, Portugal, July 24, 2016

Process Mining Meets Malware Evolution: A Study of the Behavior of Malicious Code.
Proceedings of the Fourth International Symposium on Computing and Networking, 2016

2015
Integrating Model Driven and Model Checking to Mine Design Patterns.
Proceedings of the Software Technologies - 10th International Joint Conference, 2015

Model Checking to Improve Precision of Design Pattern Instances Identification in OO Systems.
Proceedings of the ICSOFT-PT 2015, 2015

Generating Event Logs Through the Simulation of Declare Models.
Proceedings of the Enterprise and Organizational Modeling and Simulation, 2015

Improving Design Patterns Finder Precision Using a Model Checking Approach.
Proceedings of the CAiSE 2015 Forum at the 27th International Conference on Advanced Information Systems Engineering co-located with 27th International Conference on Advanced Information Systems Engineering (CAiSE 2015), 2015

2014
Design pattern detection using a DSL-driven graph matching approach.
J. Softw. Evol. Process., 2014

Declarative design pattern-based development using aspect oriented programming.
Proceedings of the Symposium on Applied Computing, 2014

Using Discriminative Rule Mining to Discover Declarative Process Models with Non-atomic Activities.
Proceedings of the Rules on the Web. From Theory to Applications, 2014

Model-driven fast prototyping of RIAs: From conceptual models to running applications.
Proceedings of the 2014 International Conference on Advances in Computing, 2014

Discovering cross-organizational business rules from the cloud.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014

2013
Web applications design recovery and evolution with RE-UWA.
J. Softw. Evol. Process., 2013

Model driven evolution of web applications.
Proceedings of the 15th IEEE International Symposium on Web Systems Evolution, 2013

A model-driven graph-matching approach for design pattern detection.
Proceedings of the 20th Working Conference on Reverse Engineering, 2013

Process Lines for Automatic Workflow Development.
Proceedings of the ICSOFT 2013, 2013

An Aspect Oriented Framework for Flexible Design Pattern-based Development.
Proceedings of the ICSOFT 2013, 2013

2012
Development of flexible process-centric web applications: An integrated model driven approach.
Proceedings of the 14th IEEE International Symposium on Web Systems Evolution, 2012

M3D: a tool for the model driven development of web applications.
Proceedings of the Twelfth International Workshop on Web Information and Data Management, 2012

Model Driven Development of Process-centric Web Applications.
Proceedings of the ICSOFT 2012 - Proceedings of the 7th International Conference on Software Paradigm Trends, Rome, Italy, 24, 2012

Using Declarative Workflow Languages to Develop Process-Centric Web Applications.
Proceedings of the 16th IEEE International Enterprise Distributed Object Computing Conference Workshops, 2012

Do Developers Introduce Bugs When They Do Not Communicate? The Case of Eclipse and Mozilla.
Proceedings of the 16th European Conference on Software Maintenance and Reengineering, 2012

2011
A model-driven approach for the fast prototyping of web applications.
Proceedings of the 13th IEEE International Symposium on Web Systems Evolution, 2011

What topics do Firefox and Chrome contributors discuss?
Proceedings of the 8th International Working Conference on Mining Software Repositories, 2011

Identifying the Crosscutting among Concerns by Methods' Calls Analysis.
Proceedings of the Software Engineering, Business Continuity, and Education, 2011

2010
An Aspect-Oriented Programming-based approach to software development for fault detection in measurement systems.
Comput. Stand. Interfaces, 2010

Web applications design evolution with UWA.
Proceedings of the 12th IEEE International Symposium on Web Systems Evolution, 2010

Improving the Design of Existing Web Applications.
Proceedings of the Quality of Information and Communications Technology, 2010

The ConAn Tool to Identify Crosscutting Concerns in Object Oriented Systems.
Proceedings of the 18th IEEE International Conference on Program Comprehension, 2010

Model-driven detection of Design Patterns.
Proceedings of the 26th IEEE International Conference on Software Maintenance (ICSM 2010), 2010

A metric model for aspects' coupling.
Proceedings of the 2010 ICSE Workshop on Emerging Trends in Software Metrics, 2010

Mining Design Patterns in Object Oriented Systems by a Model-Driven Approach.
Proceedings of the Advances in Software Engineering, 2010

2009
The RE-UWA approach to recover user centered conceptual models from Web applications.
Int. J. Softw. Tools Technol. Transf., 2009

ConAn: A Tool for the Identification of Crosscutting Concerns in Object Oriented Systems Based on Type Hierarchy Analysis.
Proceedings of the 16th Working Conference on Reverse Engineering, 2009

A role-based crosscutting concerns mining approach to evolve Java systems towards AOP.
Proceedings of the joint international and annual ERCIM workshops on Principles of software evolution (IWPSE) and software evolution (Evol) workshops, 2009

Analysing Object Type Hierarchies to Identify Crosscutting Concerns.
Proceedings of the Future Generation Information Technology, 2009

Workshop on Maintenance of Aspect Oriented Systems.
Proceedings of the 13th European Conference on Software Maintenance and Reengineering, 2009

2008
Reverse engineering of Web Applications to abstract user-centered conceptual models.
Proceedings of the 10th IEEE International Symposium on Web Systems Evolution, 2008

Reverse Engineering of Aspect Oriented Systems to Support their Comprehension, Evolution, Testing and Assessment.
Proceedings of the 12th European Conference on Software Maintenance and Reengineering, 2008

A Taxonomy of Interactions Introduced by Aspects.
Proceedings of the 32nd Annual IEEE International Computer Software and Applications Conference, 2008

2007
Testing Aspect Oriented Programs: an Approach Based on the Coverage of the Interactions among Advices and Methods.
Proceedings of the Quality of Information and Communications Technology, 2007

An Interprocedural Aspect Control Flow Graph to Support the Maintenance of Aspect Oriented Systems.
Proceedings of the 23rd IEEE International Conference on Software Maintenance (ICSM 2007), 2007

2006
Recovering conceptual models from web applications.
Proceedings of the 24th Annual International Conference on Design of Communication, 2006

Using AOP to Improve Design Patterns Modularity.
Proceedings of the IASTED International Conference on Software Engineering, 2006

2005
Improving Design Pattern Quality Using Aspect Orientation.
Proceedings of the 13th International Workshop on Software Technology and Engineering Practice (STEP 2005), 2005

Supporting the Comprehension of Object-oriented Software Systems by Extended M-M Graph.
Proceedings of the IASTED International Conference on Software Engineering, 2005

UsCaAb: A Tool for Abstracting Use Case Diagrams.
Proceedings of the 9th European Conference on Software Maintenance and Reengineering (CSMR 2005), 2005


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