Marta Cimitile

136 papers A 1B 31C 19Misc 3Journal 31Unranked 47

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Enhancing next activity prediction in process mining with Retrieval-Augmented Generation. Inf. Syst. Angelo Casciani, Mario Luca Bernardi, Marta Cimitile, Andrea Marrella
2025	—	`conf`	A RAG-Enhanced AI Feedback for UML Education. AIED Companion (2) Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile, Michele Scalera
2025	B	`conf`	A Resource-aware Aadaptation Approach for Heterogeneous Federated Learning. IJCNN Mario Luca Bernardi, Marta Cimitile, Muhammad Usman, Anna Vacca
2025	C	`conf`	Back to the Model: UML Miner and the Power of Process Mining. ICSOFT Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile, Michele Scalera
2025	C	`conf`	Concept Drift Detection using Transformer Autoencoder. CoDIT Mario Luca Bernardi, Marta Cimitile, Anna Vacca
2025	B	`conf`	In-Vivo Biosensors and Visual Data for Precision Agriculture: a Multimodal Approach for Water Stress Detection in Tomato Plants. PRICAI Giovanni Panella, Mario Luca Bernardi, Marta Cimitile, Michela Janni, Filippo Vurro, Francesco Denaro, Manuele Bettelli, Riccardo Pecori
2025	B	`conf`	Transformer-based Poisoning Detection using Concept Drift Analysis. IJCNN Mario Luca Bernardi, Marta Cimitile, Muhammad Usman, Anna Vacca
2024	—	`conf`	A RAG-based Feedback Tool to Augment UML Class Diagram Learning. MoDELS (Companion) Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile, Michele Scalera
2024	—	`conf`	A preliminary study on Business Process-aware Large Language Models. Ital-IA Mario Luca Bernardi, Angelo Casciani, Marta Cimitile, Andrea Marrella
2024	B	`conf`	Automatic Job Safety Report Generation using RAG-based LLMs. IJCNN Mario Luca Bernardi, Marta Cimitile, Riccardo Pecori
2024	J	`jnl`	Characterization of Heart Diseases per Single Lead Using ECG Images and CNN-2D. Sensors Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Debora Montano, Riccardo Pecori
2024	—	`conf`	Conversational Systems for AI-Augmented Business Process Management. RCIS (1) Angelo Casciani, Mario Luca Bernardi, Marta Cimitile, Andrea Marrella
2024	J	`jnl`	Conversing with business process-aware large language models: the BPLLM framework. J. Intell. Inf. Syst. Mario Luca Bernardi, Angelo Casciani, Marta Cimitile, Andrea Marrella
2024	—	`conf`	DQFed: A Federated Learning Strategy for Non-IID Data based on a Quality-Driven Perspective. FUZZ Mario Luca Bernardi, Marta Cimitile, Muhammad Usman
2024	—	`conf`	Enhancing Software Modeling Learning with AI-Powered Scaffolding. MoDELS (Companion) Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile, Michele Scalera
2024	J	`jnl`	Explainable Anomaly Detection of Synthetic Medical IoT Traffic Using Machine Learning. SN Comput. Sci. Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Debora Montano, Riccardo Pecori, Luca Veltri
2024	B	`conf`	Report Generation from X-Ray imaging by Retrieval-Augmented Generation and improved Image-Text Matching. IJCNN Mario Luca Bernardi, Marta Cimitile
2024	B	`conf`	Teaching UML using a RAG-based LLM. IJCNN Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile
2023	J	`jnl`	A data-aware explainable deep learning approach for next activity prediction. Eng. Appl. Artif. Intell. Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Chiara Verdone
2023	J	`jnl`	A systematic review on artificial intelligence techniques for detecting thyroid diseases. PeerJ Comput. Sci. Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Andrea Maiellaro, Riccardo Pecori
2023	B	`conf`	An Empirical Study on the Relationship Between the Co-Occurrence of Design Smell and Refactoring Activities. ENASE Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano
2023	—	`conf`	An Explainable Approach for Early Parkinson Disease Detection Using Deep Learning. DeLTA Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Antonella Madau, Chiara Verdone
2023	C	`conf`	Anomaly Detection of Medical IoT Traffic Using Machine Learning. DATA Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Debora Montano, Riccardo Pecori, Luca Veltri
2023	J	`jnl`	Data-aware process discovery for malware detection: an empirical study. Mach. Learn. Mario Luca Bernardi, Marta Cimitile, Fabrizio Maria Maggi
2023	—	`conf`	Detecting the Usage of Large Language Models Exploiting Generative Adversarial Networks. HELMeTO Lerina Aversano, Mario Luca Bernardi, Marta Cimitile
2023	B	`conf`	Early Diagnosis of Cardiac Diseases using ECG Images and CNN-2D. KES Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Debora Montano, Riccardo Pecori
2023	B	`conf`	Early Diagnosis of Parkinson's Disease Exploting Motor and Non-Motor Symptoms: Results from the PPMI Cohort. KES Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Antonella Madau, Chiara Verdone
2023	—	`conf`	Early Parkinson's Disease Detection from EEG Traces Using Machine Learning Techniques. EUSFLAT/AGOP Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano, Chiara Verdone
2023	J	`jnl`	Evo-GUNet3++: Using evolutionary algorithms to train UNet-based architectures for efficient 3D lung cancer detection. Appl. Soft Comput. Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Chiara Verdone
2023	—	`conf`	Explainable Deep Ensemble to Diagnose COVID-19 from CT Scans. EUSFLAT/AGOP Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Riccardo Pecori, Chiara Verdone
2023	J	`jnl`	Forecasting technical debt evolution in software systems: an empirical study. Frontiers Comput. Sci. Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano
2023	—	`conf`	Forecasting the Developer's Impact in Managing the Technical Debt. PROFES (2) Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino
2023	—	`ed.`	Higher Education Learning Methodologies and Technologies Online - 4th International Conference, HELMeTO 2022, Palermo, Italy, September 21-23, 2022, Revised Selected Papers HELMeTO Giovanni Fulantelli, Daniel Burgos, Gabriella Casalino, Marta Cimitile, Giosuè Lo Bosco, Davide Taibi
2023	—	`conf`	Machine Learning Applied to Speech Recordings for Parkinson's Disease Recognition. DeLTA Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Antonella Madau, Chiara Verdone
2023	C	`conf`	Machine and Deep Learning Techniques to Classify Arousal Judgments in Dynamic Virtual Experience of Architecture. ICMLA Riccardo Pecori, Paolo Presti, Pietro Avanzini, Lerina Aversano, Fausto Caruana, Marta Cimitile, Debora Montano, Davide Ruzzon, Mario Luca Bernardi, Giovanni Vecchiato
2023	—	`conf`	Raman Spectroscopy of Cells for Cancer Classification Through Machine Learning. MetroXRAINE Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Andrea Cusano, Martina Iammarino, Marco Pisco, Sara Spaziani, Chiara Verdone
2023	J	`jnl`	Super-Resolution of Synthetic Aperture Radar Complex Data by Deep-Learning. IEEE Access Pia Addabbo, Mario Luca Bernardi, Filippo Biondi, Marta Cimitile, Carmine Clemente, Nicomino Fiscante, Gaetano Giunta, Danilo Orlando, Linjie Yan
2023	—	`conf`	UML Miner: A Tool for Mining UML Diagrams. MoDELS (Companion) Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Vito Alessandro Carella, Marta Cimitile, Michele Scalera
2023	C	`conf`	Understanding Compiler Effects on Clone Detection Process. ICSOFT Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano
2022	—	`conf`	A Machine Learning approach for Early Detection of Parkinson's Disease Using acoustic traces. EAIS Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano, Chiara Verdone
2022	—	`conf`	An Empirical Study to Predict Student Performance Using Information of the Virtual Learning Environment. HELMeTO Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano, Chiara Verdone
2022	—	`conf`	An Explainable and Evolving Car Driver Identification System based on Decision Trees. EAIS Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Pietro Ducange, Michela Fazzolari, Riccardo Pecori
2022	B	`conf`	An enhanced UNet variant for Effective Lung Cancer Detection. IJCNN Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Chiara Verdone
2022	Misc	`conf`	Design patterns mining using neural sub-graph matching. SAC Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile
2022	B	`conf`	Early Detection of Parkinson's Disease using Spiral Test and Echo State Networks. IJCNN Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Chiara Verdone
2022	—	`conf`	Fuzzy-based Process Mining to Discover the Coding Behavior: Challenges and Future Works. OLUD@WCCI Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile
2022	—	`ed.`	Higher Education Learning Methodologies and Technologies Online - Third International Workshop, HELMeTO 2021, Pisa, Italy, September 9-10, 2021, Revised Selected Papers HELMeTO Gabriella Casalino, Marta Cimitile, Pietro Ducange, Natalia Padilla Zea, Riccardo Pecori, Pietro Picerno, Paolo Raviolo
2022	C	`conf`	Is There Any Correlation between Refactoring and Design Smell Occurrence? ICSOFT Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano
2022	J	`jnl`	Just-in-time software defect prediction using deep temporal convolutional networks. Neural Comput. Appl. Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino
2022	B	`conf`	Technical Debt Forecasting from Source Code Using Temporal Convolutional Networks. PROFES Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino
2022	—	`conf`	Using Machine Learning for Classification of Cancer Cells from Raman Spectroscopy. DeLTA Lerina Aversano, Mario Luca Bernardi, Vincenzo Calgano, Marta Cimitile, Concetta Esposito, Martina Iammarino, Marco Pisco, Sara Spaziani, Chiara Verdone
2022	—	`conf`	Using Machine Learning for early prediction of Heart Disease. EAIS Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano, Chiara Verdone
2022	J	`jnl`	Using deep temporal convolutional networks to just-in-time forecast technical debt principal. J. Syst. Softw. Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino
2022	J	`jnl`	Water stress classification using Convolutional Deep Neural Networks. J. Univers. Comput. Sci. Lerina Aversano, Mario Luca Bernardi, Marta Cimitile
2021	J	`jnl`	A systematic review on Deep Learning approaches for IoT security. Comput. Sci. Rev. Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Riccardo Pecori
2021	B	`conf`	An Explainable Approach for Car Driver Identification. FUZZ-IEEE Gionatan Gallo, Mario Luca Bernardi, Marta Cimitile, Pietro Ducange
2021	C	`conf`	Anomaly Detection of actual IoT traffic flows through Deep Learning. ICMLA Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Riccardo Pecori
2021	J	`jnl`	Continuous authentication using deep neural networks ensemble on keystroke dynamics. PeerJ Comput. Sci. Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Riccardo Pecori
2021	B	`conf`	Deep Neural Networks Ensemble for Lung Nodule Detection on Chest CT Scans. IJCNN Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile
2021	J	`jnl`	Deep neural networks ensemble to detect COVID-19 from CT scans. Pattern Recognit. Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Riccardo Pecori
2021	B	`conf`	Technical Debt predictive model through Temporal Convolutional Network. IJCNN Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino
2021	J	`jnl`	Temporal Convolutional Neural Networks for Radar Micro-Doppler Based Gait Recognition. Sensors Pia Addabbo, Mario Luca Bernardi, Filippo Biondi, Marta Cimitile, Carmine Clemente, Danilo Orlando
2021	J	`jnl`	Temporal convolutional networks for just-in-time design smells prediction using fine-grained software metrics. Neurocomputing Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino
2021	B	`conf`	Thyroid Disease Treatment prediction with machine learning approaches. KES Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Paolo Emidio Macchia, Immacolata Cristina Nettore, Chiara Verdone
2021	C	`conf`	Transfer Learning for Just-in-Time Design Smells Prediction using Temporal Convolutional Networks. ICSOFT Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino
2021	—	`conf`	Using Process Mining to Understand Students' and Teams' Dynamics. HELMeTO Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile
2020	—	`ch.`	A Machine Learning Approach for Walker Identification Using Smartphone Sensors. Complex Pattern Mining Antonio Angrisano, Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile, Salvatore Gaglione
2020	B	`conf`	A Topic Modeling Approach To Evaluate The Comments Consistency To Source Code. IJCNN Martina Iammarino, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile
2020	B	`conf`	Data-Aware Declarative Process Mining for Malware Detection. IJCNN Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile
2020	B	`conf`	Early Detection of Parkinson Disease using Deep Neural Networks on Gait Dynamics. IJCNN Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Riccardo Pecori
2020	B	`conf`	Fuzzy Neural Networks to Detect Parkinson Disease. FUZZ-IEEE Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Riccardo Pecori
2020	J	`jnl`	Identification of Walker Identity Using Smartphone Sensors: An Experiment Using Ensemble Learning. IEEE Access Antonio Angrisano, Mario Luca Bernardi, Marta Cimitile, Salvatore Gaglione, Mario Vultaggio
2020	C	`conf`	Investigating on the Relationships between Design Smells Removals and Refactorings. ICSOFT Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Kateryna Romanyuk
2020	—	`conf`	Malware Phylogeny Analysis using Data-Aware Declarative Process Mining. EAIS Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile
2020	J	`jnl`	Reusing Bugged Source Code to Support Novice Programmers in Debugging Tasks. ACM Trans. Comput. Educ. Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile, Giuseppe De Ruvo
2020	J	`jnl`	Software Analytics to Support Students in Object-Oriented Programming Tasks: An Empirical Study. IEEE Access Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile
2020	C	`conf`	Temporal Convolutional Networks for Just-in-Time Software Defect Prediction. ICSOFT Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile
2020	—	`conf`	Towards automatic assessment of object-oriented programs. ICSE (Companion Volume) Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile
2019	J	`jnl`	Dynamic malware detection and phylogeny analysis using process mining. Int. J. Inf. Sec. Mario Luca Bernardi, Marta Cimitile, Damiano Distante, Fabio Martinelli, Francesco Mercaldo
2019	B	`conf`	Evaluating coding behavior in software development processes: a process mining approach. ICSSP Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile, Fabrizio Maria Maggi
2019	—	`ed.`	Higher Education Learning Methodologies and Technologies Online - First International Workshop, HELMeTO 2019, Novedrate, CO, Italy, June 6-7, 2019, Revised Selected Papers HELMeTO Daniel Burgos, Marta Cimitile, Pietro Ducange, Riccardo Pecori, Pietro Picerno, Paolo Raviolo, Christian M. Stracke
2019	B	`conf`	Keystroke Analysis for User Identification using Deep Neural Networks. IJCNN Mario Luca Bernardi, Marta Cimitile, Fabio Martinelli, Francesco Mercaldo
2019	B	`conf`	Learning analytics to improve coding abilities: a fuzzy-based process mining approach. FUZZ-IEEE Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile, Giuseppe De Ruvo
2019	C	`conf`	Mining Developer's Behavior from Web-Based IDE Logs. WETICE Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile, Giuseppe De Ruvo
2019	—	`conf`	On the Students' Misconceptions in Object-Oriented Language Constructs. HELMeTO Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile
2018	B	`conf`	A Fuzzy Clustering-based Approach to study Malware Phylogeny. FUZZ-IEEE Giovanni Acampora, Mario Luca Bernardi, Marta Cimitile, Genoveffa Tortora, Autilia Vitiello
2018	C	`conf`	A Multi-source Machine Learning Approach to Predict Defect Prone Components. ICSOFT Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile
2018	B	`conf`	An Ensemble Fuzzy Logic Approach to Game Bot Detection through Behavioural Features. FUZZ-IEEE Mario Luca Bernardi, Marta Cimitile, Fabio Martinelli, Francesco Mercaldo
2018	J	`jnl`	Cross-Organisational Process Mining in Cloud Environments. J. Inf. Knowl. Manag. Mario Luca Bernardi, Marta Cimitile, Francesco Mercaldo
2018	B	`conf`	Driver Identification: a Time Series Classification Approach. IJCNN Mario Luca Bernardi, Marta Cimitile, Fabio Martinelli, Francesco Mercaldo
2017	—	`conf`	A Machine Learning Approach for Game Bot Detection Through Behavioural Features. ICSOFT (Selected Papers) Mario Luca Bernardi, Marta Cimitile, Fabio Martinelli, Francesco Mercaldo
2017	B	`conf`	A fuzzy-based autoscaling approach for process centered cloud systems. FUZZ-IEEE Giovanni Acampora, Mario Luca Bernardi, Marta Cimitile, Genoveffa Tortora, Autilia Vitiello
2017	B	`conf`	A fuzzy-based process mining approach for dynamic malware detection. FUZZ-IEEE Mario Luca Bernardi, Marta Cimitile, Fabio Martinelli, Francesco Mercaldo
2017	—	`conf`	A time series classification approach to game bot detection. WIMS Mario Luca Bernardi, Marta Cimitile, Fabio Martinelli, Francesco Mercaldo
2017	C	`conf`	Game Bot Detection in Online Role Player Game through Behavioural Features. ICSOFT Mario Luca Bernardi, Marta Cimitile, Fabio Martinelli, Francesco Mercaldo
2016	C	`conf`	A constraint-driven approach for dynamic malware detection. PST Mario Luca Bernardi, Marta Cimitile, Damiano Distante, Francesco Mercaldo
2016	Misc	`conf`	Automated development of constraint-driven web applications. SAC Mario Luca Bernardi, Marta Cimitile, Fabrizio Maria Maggi
2016	J	`jnl`	Do activity lifecycles affect the validity of a business rule in a business process? Inf. Syst. Mario Luca Bernardi, Marta Cimitile, Chiara Di Francescomarino, Fabrizio Maria Maggi
2016	J	`jnl`	Mining static and dynamic crosscutting concerns: a role-based approach. J. Softw. Evol. Process. Mario Luca Bernardi, Marta Cimitile, Giuseppe A. Di Lucca
2016	—	`conf`	Process Mining Meets Malware Evolution: A Study of the Behavior of Malicious Code. CANDAR Mario Luca Bernardi, Marta Cimitile, Francesco Mercaldo
2016	—	`conf`	Reducing Static Dependences Exploiting a Declarative Design Patterns Framework. ICSOFT-PT Mario Luca Bernardi, Marta Cimitile
2015	—	`conf`	Generating Event Logs Through the Simulation of Declare Models. EOMAS@CAiSE Claudio Di Ciccio, Mario Luca Bernardi, Marta Cimitile, Fabrizio Maria Maggi
2015	—	`conf`	Improving Design Patterns Finder Precision Using a Model Checking Approach. CAiSE Forum Mario Luca Bernardi, Marta Cimitile, Giuseppe De Ruvo, Giuseppe A. Di Lucca, Antonella Santone
2015	—	`conf`	Integrating Model Driven and Model Checking to Mine Design Patterns. ICSOFT (Selected Papers) Mario Luca Bernardi, Marta Cimitile, Giuseppe De Ruvo, Giuseppe A. Di Lucca, Antonella Santone
2015	—	`conf`	Model Checking to Improve Precision of Design Pattern Instances Identification in OO Systems. ICSOFT-PT Mario Luca Bernardi, Marta Cimitile, Giuseppe De Ruvo, Giuseppe A. Di Lucca, Antonella Santone
2015	J	`jnl`	Online Discovery of Declarative Process Models from Event Streams. IEEE Trans. Serv. Comput. Andrea Burattin, Marta Cimitile, Fabrizio Maria Maggi, Alessandro Sperduti
2014	Misc	`conf`	Declarative design pattern-based development using aspect oriented programming. SAC Mario Luca Bernardi, Marta Cimitile, Giuseppe A. Di Lucca
2014	J	`jnl`	Design pattern detection using a DSL-driven graph matching approach. J. Softw. Evol. Process. Mario Luca Bernardi, Marta Cimitile, Giuseppe A. Di Lucca
2014	C	`conf`	Discovering cross-organizational business rules from the cloud. CIDM Mario Luca Bernardi, Marta Cimitile, Fabrizio Maria Maggi
2014	J	`jnl`	How changes affect software entropy: an empirical study. Empir. Softw. Eng. Gerardo Canfora, Luigi Cerulo, Marta Cimitile, Massimiliano Di Penta
2014	—	`conf`	Lights, Camera, Action! Business Process Movies for Online Process Discovery. Business Process Management Workshops Andrea Burattin, Marta Cimitile, Fabrizio Maria Maggi
2014	—	`conf`	Using Discriminative Rule Mining to Discover Declarative Process Models with Non-atomic Activities. RuleML Mario Luca Bernardi, Marta Cimitile, Chiara Di Francescomarino, Fabrizio Maria Maggi
2013	—	`conf`	A model-driven graph-matching approach for design pattern detection. WCRE Mario Luca Bernardi, Marta Cimitile, Giuseppe Antonio Di Lucca
2013	C	`conf`	An Aspect Oriented Framework for Flexible Design Pattern-based Development. ICSOFT Mario Luca Bernardi, Marta Cimitile, Giuseppe A. Di Lucca
2013	—	`conf`	Distributed Software Development with Knowledge Experience Packages. OTM Workshops Pasquale Ardimento, Marta Cimitile, Giuseppe Visaggio
2013	—	`conf`	Model driven evolution of web applications. WSE Mario Luca Bernardi, Giuseppe A. Di Lucca, Damiano Distante, Marta Cimitile
2013	—	`conf`	Online Process Discovery to Detect Concept Drifts in LTL-Based Declarative Process Models. OTM Conferences Fabrizio Maria Maggi, Andrea Burattin, Marta Cimitile, Alessandro Sperduti
2013	C	`conf`	Process Lines for Automatic Workflow Development. ICSOFT Mario Luca Bernardi, Marta Cimitile, Fabrizio Maria Maggi
2013	J	`jnl`	Web applications design recovery and evolution with RE-UWA. J. Softw. Evol. Process. Mario Luca Bernardi, Marta Cimitile, Damiano Distante
2012	B	`conf`	An ontological multi-criteria optimization system for Workforce Management. IEEE Congress on Evolutionary Computation Marta Cimitile, Matteo Gaeta, Vincenzo Loia
2012	B	`conf`	An ontological multi-criteria optimization system for Workforce Management. FUZZ-IEEE Marta Cimitile, Matteo Gaeta, Vincenzo Loia
2012	—	`conf`	Development of flexible process-centric web applications: An integrated model driven approach. WSE Mario Luca Bernardi, Marta Cimitile, Giuseppe A. Di Lucca, Fabrizio Maria Maggi
2012	—	`conf`	M3D: a tool for the model driven development of web applications. WIDM Mario Luca Bernardi, Marta Cimitile, Giuseppe A. Di Lucca, Fabrizio Maria Maggi
2012	C	`conf`	Model Driven Development of Process-centric Web Applications. ICSOFT Mario Luca Bernardi, Marta Cimitile, Fabrizio Maria Maggi
2012	—	`conf`	Using Declarative Workflow Languages to Develop Process-Centric Web Applications. EDOC Workshops Mario Luca Bernardi, Marta Cimitile, Giuseppe A. Di Lucca, Fabrizio Maria Maggi
2011	—	`conf`	Automatic Generation of Multi Platform Web Map Mobile Applications. DMS Marta Cimitile, Michele Risi, Genoveffa Tortora
2011	A	`conf`	Social interactions around cross-system bug fixings: the case of FreeBSD and OpenBSD. MSR Gerardo Canfora, Luigi Cerulo, Marta Cimitile, Massimiliano Di Penta
2010	—	`conf`	Web applications design evolution with UWA. WSE Mario Luca Bernardi, Marta Cimitile, Damiano Distante, Francesco Mazzone
2009	J	`jnl`	Empirical Validation of Knowledge Packages as Facilitators for Knowledge Transfer. J. Inf. Knowl. Manag. Pasquale Ardimento, Maria Teresa Baldassarre, Marta Cimitile, Giuseppe Visaggio
2009	—	`conf`	Managing Business Process Flexibility and Reuse through Business Process Lines. ICSOFT (2) Nicola Boffoli, Marta Cimitile, Fabrizio Maria Maggi
2009	C	`conf`	Tacit Suggestions Extraction Process for Consumer-Oriented Services. ICDS Marta Cimitile, Fabrizio Maria Maggi, Gemma Mastelloni, Giuseppe Visaggio
2008	B	`conf`	An Empirical Study on Software Engineering Knowledge/Experience Packages. PROFES Pasquale Ardimento, Marta Cimitile
2008	—	`conf`	Controlled Experiment on Search Engine Knowledge Extraction Capabilities. ICSOFT (PL/DPS/KE) Pasquale Ardimento, Danilo Caivano, Maria Teresa Baldassarre, Marta Cimitile, Giuseppe Visaggio
2008	J	`jnl`	Empirical Investigation of the Efficacy and Efficiency of Tools for Transferring Software Engineering Knowledge. J. Inf. Knowl. Manag. Pasquale Ardimento, Danilo Caivano, Marta Cimitile, Giuseppe Visaggio
2007	—	`conf`	Empirical Experimentation for Validating the Usability of Knowledge Packages in Transferring Innovations. ICSOFT/ENASE (Selected Papers) Pasquale Ardimento, Maria Teresa Baldassarre, Marta Cimitile, Giuseppe Visaggio
2007	—	`conf`	Empirical Validation on Knowledge Packaging Supporting Knowledge Transfer. ICSOFT (PL/DPS/KE/MUSE) Pasquale Ardimento, Maria Teresa Baldassarre, Marta Cimitile, Giuseppe Visaggio