Marta Cimitile

发表

A systematic review on Deep Learning approaches for IoT security

Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, 2021, Comput. Sci. Rev..

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

Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, 2021, Neurocomputing.

Thyroid Disease Treatment prediction with machine learning approaches

Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, 2021, KES.

Continuous authentication using deep neural networks ensemble on keystroke dynamics

Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, 2021, PeerJ Comput. Sci..

Just-in-time software defect prediction using deep temporal convolutional networks

L. Aversano, M. Bernardi, Marta Cimitile, 2021, Neural Computing and Applications.

Temporal Convolutional Neural Networks for Radar Micro-Doppler Based Gait Recognition †

M. Bernardi, Marta Cimitile, C. Clemente, 2021, Sensors.

Using Machine Learning for early prediction of Heart Disease

L. Aversano, M. Bernardi, Marta Cimitile, 2022, 2022 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS).

Temporal Convolutional Networks for Just-in-Time Software Defect Prediction

Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, 2020, ICSOFT.

Using deep temporal convolutional networks to just-in-time forecast technical debt principal

M. Bernardi, Marta Cimitile, P. Ardimento, 2022, Journal of Systems and Software.

A Machine Learning approach for Early Detection of Parkinson’s Disease Using acoustic traces

L. Aversano, M. Bernardi, Marta Cimitile, 2022, 2022 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS).

Investigating on the Relationships between Design Smells Removals and Refactorings

Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, 2020, ICSOFT.

An enhanced UNet variant for Effective Lung Cancer Detection

L. Aversano, M. Bernardi, Marta Cimitile, 2022, 2022 International Joint Conference on Neural Networks (IJCNN).

Early Detection of Parkinson's Disease using Spiral Test and Echo State Networks

M. Bernardi, Marta Cimitile, Martina Iammarino, 2022, 2022 International Joint Conference on Neural Networks (IJCNN).

Key Performance Indicators to Relate Knowledge Governance with Knowledge Process

M. Baldassarre, Marta Cimitile, P. Ardimento, 2009 .

Deep neural networks ensemble to detect COVID-19 from CT scans

M. Bernardi, Marta Cimitile, R. Pecori, 2021, Pattern Recognition.

A Topic Modeling Approach To Evaluate The Comments Consistency To Source Code

Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

A fuzzy-based autoscaling approach for process centered cloud systems

Genny Tortora, Mario Luca Bernardi, Marta Cimitile, 2017, 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Mining Developer's Behavior from Web-Based IDE Logs

Mario Luca Bernardi, Marta Cimitile, Pasquale Ardimento, 2019, 2019 IEEE 28th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE).

Learning analytics to improve coding abilities: a fuzzy-based process mining approach

Mario Luca Bernardi, Marta Cimitile, Pasquale Ardimento, 2019, 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Evaluating Coding Behavior in Software Development Processes: A Process Mining Approach

Fabrizio Maria Maggi, Mario Luca Bernardi, Marta Cimitile, 2019, 2019 IEEE/ACM International Conference on Software and System Processes (ICSSP).

Integrating Model Driven and Model Checking to Mine Design Patterns

Antonella Santone, Mario Luca Bernardi, Marta Cimitile, 2015, ICSOFT.

Model checking to improve precision of design pattern instances identification in OO systems

Antonella Santone, Mario Luca Bernardi, Marta Cimitile, 2015, 2015 10th International Joint Conference on Software Technologies (ICSOFT).

Improving Design Patterns Finder Precision Using a Model Checking Approach

Antonella Santone, Mario Luca Bernardi, Marta Cimitile, 2015, CAiSE Forum.

Driver and Path Detection through Time-Series Classification

Fabio Martinelli, Mario Luca Bernardi, Marta Cimitile, 2018 .

Driver Identification: a Time Series Classification Approach

Fabio Martinelli, Mario Luca Bernardi, Marta Cimitile, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Water stress classification using Convolutional Deep Neural Networks

L. Aversano, M. Bernardi, Marta Cimitile, 2022, J. Univers. Comput. Sci..

An Empirical Study on Software Engineering Knowledge/Experience Packages

Marta Cimitile, Pasquale Ardimento, Marta Cimitile, 2008, PROFES.

Controlled Experiment on Search Engine Knowledge Extraction Capabilities

Maria Teresa Baldassarre, Danilo Caivano, Giuseppe Visaggio, 2008, ICSOFT.

Lights, Camera, Action! Business Process Movies for Online Process Discovery

Fabrizio Maria Maggi, Marta Cimitile, Andrea Burattin, 2014, Business Process Management Workshops.

Model Driven Development of Cross-Platform Mobile Applications

Mario Luca Bernardi, Marta Cimitile, M. Bernardi, 2012 .

Technical Debt predictive model through Temporal Convolutional Network

Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Reusing Bugged Source Code to Support Novice Programmers in Debugging Tasks

Mario Luca Bernardi, Marta Cimitile, Pasquale Ardimento, 2019, ACM Trans. Comput. Educ..

How changes affect software entropy: an empirical study

Gerardo Canfora, Massimiliano Di Penta, Marta Cimitile, 2014, Empirical Software Engineering.

Online Discovery of Declarative Process Models from Event Streams

Alessandro Sperduti, Fabrizio Maria Maggi, Marta Cimitile, 2015, IEEE Transactions on Services Computing.

Gait Recognition using FMCW Radar and Temporal Convolutional Deep Neural Networks

Carmine Clemente, Mario Luca Bernardi, Marta Cimitile, 2020, 2020 IEEE 7th International Workshop on Metrology for AeroSpace (MetroAeroSpace).

Design patterns mining using neural sub-graph matching

L. Aversano, M. Bernardi, Marta Cimitile, 2022, SAC.

Effective Anomaly Detection Using Deep Learning in IoT Systems

L. Aversano, M. Bernardi, Marta Cimitile, 2021, Wireless Communications and Mobile Computing.

Software Analytics to Support Students in Object-Oriented Programming Tasks: An Empirical Study

Mario Luca Bernardi, Marta Cimitile, Pasquale Ardimento, 2020, IEEE Access.

Early Detection of Parkinson Disease using Deep Neural Networks on Gait Dynamics

Riccardo Pecori, Lerina Aversano, Mario Luca Bernardi, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Forecasting technical debt evolution in software systems: an empirical study

M. Bernardi, Marta Cimitile, Martina Iammarino, 2022, Frontiers of Computer Science.

Keystroke Analysis for User Identification using Deep Neural Networks

Fabio Martinelli, Mario Luca Bernardi, Marta Cimitile, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Transfer Learning for Just-in-Time Design Smells Prediction using Temporal Convolutional Networks

Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, 2021, ICSOFT.

How to develop your network with Python and Keras

M. Bernardi, Marta Cimitile, S. Ullo, 2021, Artificial Intelligence Applied to Satellite-based Remote Sensing Data for Earth Observation.

A time series classification approach to game bot detection

Fabio Martinelli, Mario Luca Bernardi, Marta Cimitile, 2017, WIMS.

Game Bot Detection in Online Role Player Game through Behavioural Features

Fabio Martinelli, Mario Luca Bernardi, Marta Cimitile, 2017, ICSOFT.

Towards Knowledge Based Risk Management Approach in Software Projects

Danilo Caivano, Marta Cimitile, Pasquale Ardimento, 2011 .

Empirical investigation on knowledge packaging supporting risk management in software processes

Marta Cimitile, Pasquale Ardimento, Nicola Boffoli, 2007 .

Data-aware process discovery for malware detection: an empirical study

M. Bernardi, Marta Cimitile, F. Maggi, 2022, Machine Learning.

Empirical Validation on Knowledge Packaging Supporting Knowledge Transfer

Maria Teresa Baldassarre, Giuseppe Visaggio, Marta Cimitile, 2016, ICSOFT.

Model Driven Development of Process-centric Web Applications

Fabrizio Maria Maggi, Mario Luca Bernardi, Marta Cimitile, 2016, ICSOFT.

M3D: a tool for the model driven development of web applications

Fabrizio Maria Maggi, Mario Luca Bernardi, Marta Cimitile, 2012, WIDM '12.

Using Declarative Workflow Languages to Develop Process-Centric Web Applications

Fabrizio Maria Maggi, Mario Luca Bernardi, Marta Cimitile, 2012, 2012 IEEE 16th International Enterprise Distributed Object Computing Conference Workshops.

Managing SOA System Variation through Business Process Lines and Process Oriented Development

Giuseppe Visaggio, Fabrizio Maria Maggi, Marta Cimitile, 2009 .

Managing Business Process Flexibility and Reuse through Business Process Lines

Fabrizio Maria Maggi, Marta Cimitile, Nicola Boffoli, 2009, ICSOFT.

Cross-Organisational Process Mining in Cloud Environments

Mario Luca Bernardi, Marta Cimitile, Francesco Mercaldo, 2018, J. Inf. Knowl. Manag..

Discovering cross-organizational business rules from the cloud

Fabrizio Maria Maggi, Mario Luca Bernardi, Marta Cimitile, 2014, 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM).

An Aspect Oriented Framework for Flexible Design Pattern-based Development

Mario Luca Bernardi, Marta Cimitile, Giuseppe A. Di Lucca, 2016, ICSOFT.

Reducing Static Dependences Exploiting a Declarative Design Patterns Framework

Mario Luca Bernardi, Marta Cimitile, M. Bernardi, 2016, ICSOFT-PT.

Design pattern detection using a DSL‐driven graph matching approach

Mario Luca Bernardi, Marta Cimitile, Giuseppe A. Di Lucca, 2014, J. Softw. Evol. Process..

Declarative design pattern-based development using aspect oriented programming

Mario Luca Bernardi, Marta Cimitile, Giuseppe A. Di Lucca, 2014, SAC.

A model-driven graph-matching approach for design pattern detection

Mario Luca Bernardi, Marta Cimitile, Giuseppe A. Di Lucca, 2013, 2013 20th Working Conference on Reverse Engineering (WCRE).

Mining static and dynamic crosscutting concerns: a role‐based approach

Mario Luca Bernardi, Marta Cimitile, Giuseppe A. Di Lucca, 2016, J. Softw. Evol. Process..

Dynamic malware detection and phylogeny analysis using process mining

Fabio Martinelli, Mario Luca Bernardi, Marta Cimitile, 2018, International Journal of Information Security.

Generating Event Logs Through the Simulation of Declare Models

Fabrizio Maria Maggi, Claudio Di Ciccio, Mario Luca Bernardi, 2015, EOMAS@CAiSE.

Using Discriminative Rule Mining to Discover Declarative Process Models with Non-atomic Activities

Fabrizio Maria Maggi, Mario Luca Bernardi, Marta Cimitile, 2014, RuleML.