Migrating Legacy Systems to the Web: An Experience Report. - Lerina Aversano; Gerardo Canfora; Aniello Cimitile; Andrea De Lucia (CSMR, 2001)

Introducing Workflow Management in Software Maintenance Processes. - Lerina Aversano; Sergio Betti; Andrea De Lucia; Silvio Stefanucci (ICSM, 2001)

Understanding and Improving the Maintenance Process: A Method and Two Case Studies. - Lerina Aversano; Gerardo Canfora; Silvio Stefanucci (IWPC, 2001)

Integrating Document and Workflow Management Systems. - Lerina Aversano; Gerardo Canfora; Andrea De Lucia; Pierpaolo Gallucci (HCC, 2001)

Web Site Reuse: Cloning and Adapting. - Lerina Aversano; Gerardo Canfora; Andrea De Lucia; Pierpaolo Gallucci (WSE, 2001)

Applying Workflow Management to Support Massive Maintenance. - Lerina Aversano; Sergio Betti; Eugenio Pompella; Silvio Stefanucci (COMPSAC, 2002)

FlowManager: A Workflow Management System Based on Petri Nets. - Lerina Aversano; Aniello Cimitile; Pierpaolo Gallucci; Maria Luisa Villani (COMPSAC, 2002)

Understanding SQL through Iconic Interfaces. - Lerina Aversano; Gerardo Canfora; Andrea De Lucia; Silvio Stefanucci (COMPSAC, 2002)

Integrating Document and Workflow Management Tools using XML and Web Technologies: A Case Study. - Lerina Aversano; Gerardo Canfora; Andrea De Lucia; Pierpaolo Gallucci (CSMR, 2002)

Evolving Ispell: A Case Study of Program Understanding for Reuse. - Lerina Aversano; Gerardo Canfora; Andrea De Lucia; Silvio Stefanucci (IWPC, 2002)

Handling Preprocessor-Conditioned Declarations. - Lerina Aversano; Massimiliano Di Penta; Ira D. Baxter (SCAM, 2002)

Introducing eservices in business process models. - Lerina Aversano; Gerardo Canfora (SEKE, 2002)

Business process reengineering and workflow automation: a technology transfer experience. - Lerina Aversano; Gerardo Canfora; Andrea De Lucia; Pierpaolo Gallucci (J. Syst. Softw., 2002)

Automating the management of software maintenance workflows in a large software enterprise: a case study. - Lerina Aversano; Gerardo Canfora; Andrea De Lucia; Silvio Stefanucci (J. Softw. Maintenance Res. Pract., 2002)

Evolving Legacy System toward eLegacy System in eBusiness Context. - Lerina Aversano; Maria Tortorella (CSMR, 2003)

GENESIS: A Flexible and Distributed Environment for Cooperative Software Engineering. - Lerina Aversano; Andrea De Lucia; Matteo Gaeta; Pierluigi Ritrovato (SEKE, 2003)

Supporting Decisions on the Adoption of Re-engineering Technologies. - Lerina Aversano; Raffaele Esposito; Teresa Mallardo; Maria Tortorella (CSMR, 2004)

A Framework for Measuring Business Processes Based on GQM. - Lerina Aversano; Thierry Bodhuin; Gerardo Canfora; Maria Tortorella (HICSS, 2004)

WebEv - A Collaborative Environment for Supporting Measurement Frameworks. - Lerina Aversano; Thierry Bodhuin; Gerardo Canfora; Maria Tortorella (HICSS, 2004)

An Algorithm for Web Service Discovery through Their Composition. - Lerina Aversano; Gerardo Canfora; Anna Ciampi (ICWS, 2004)

Introducing Quality System in Small and Medium Enterprises: An Experience Report. - Lerina Aversano; Gerardo Canfora; Giovanni Capasso; Giuseppe A. Di Lucca; Corrado Aaron Visaggio (PROFES, 2004)

Evolution of business processes towards eBusiness using a critiquing approach. - Lerina Aversano; Thierry Bodhuin; Gerardo Canfora; Raffaele Esposito; Maria Tortorella (SAC, 2004)

An assessment strategy for identifying legacy system evolution requirements in eBusiness context. - Lerina Aversano; Maria Tortorella (J. Softw. Maintenance Res. Pract., 2004)

Managing coordination and cooperation in distributed software processes: the GENESIS environment. - Lerina Aversano; Andrea De Lucia; Matteo Gaeta; Pierluigi Ritrovato; Silvio Stefanucci; Maria Luisa Villani (Softw. Process. Improv. Pract., 2004)

A framework for modeling and enacting extended business processes. - Lerina Aversano (2004)

Migrating Legacy Systems to the Web. - Lerina Aversano; Gerardo Canfora; Andrea De Lucia (Encyclopedia of Information Science and Technology (IV), 2005)

Visualizing the Evolution ofWeb Services using Formal Concept Analysis. - Lerina Aversano; Marcello Bruno; Massimiliano Di Penta; Amedeo Falanga; Rita Scognamiglio (IWPSE, 2005)

Assessment and impact analysis for aligning business processes and software systems. - Lerina Aversano; Thierry Bodhuin; Maria Tortorella (SAC, 2005)

WECAP: A Web Environment for Project Planning. - Lerina Aversano; Gerardo Canfora; Corrado Aaron Visaggio (SEKE, 2006)

A genetiv programming approach to support the design of service compositions. - Lerina Aversano; Massimiliano Di Penta; Kunal Taneja (Comput. Syst. Sci. Eng., 2006)

Technology-driven business evolution. - Lerina Aversano; Thierry Bodhuin; Gerardo Canfora; Maria Tortorella (J. Syst. Softw., 2006)

Using Concept Lattices to Support Service Selection. - Lerina Aversano; Marcello Bruno; Gerardo Canfora; Massimiliano Di Penta; Damiano Distante (Int. J. Web Serv. Res., 2006)

How Clones are Maintained: An Empirical Study. - Lerina Aversano; Luigi Cerulo; Massimiliano Di Penta (CSMR, 2007)

Learning from bug-introducing changes to prevent fault prone code. - Lerina Aversano; Luigi Cerulo; Concettina Del Grosso (IWPSE, 2007)

Relating the Evolution of Design Patterns and Crosscutting Concerns. - Lerina Aversano; Luigi Cerulo; Massimiliano Di Penta (SCAM, 2007)

An empirical study on the evolution of design patterns. - Lerina Aversano; Gerardo Canfora; Luigi Cerulo; Concettina Del Grosso; Massimiliano Di Penta (ESEC/SIGSOFT FSE, 2007)

The Evolution and Decay of Statically Detected Source Code Vulnerabilities. - Massimiliano Di Penta; Luigi Cerulo; Lerina Aversano (SCAM, 2008)

Mining candidate web services from legacy code. - Lerina Aversano; Luigi Cerulo; C. Palumbo (WSE, 2008)

Business Process-Aware Maintenance Task: A Preliminary Empirical Study. - Lerina Aversano; Maria Tortorella (CSMR, 2009)

A Framework for Measuring the Alignment between Business Processes and Software Systems. - Lerina Aversano; Carmine Grasso; Maria Tortorella (FGIT-ASEA, 2009)

Business Process-Awareness in the Maintenance Activities. - Lerina Aversano; Maria Tortorella (ICEIS, 2009)

Assessing Workflow Ability of ERP and WfM Systems. - Lerina Aversano; Roberto Intonti; Maria Tortorella (SEKE, 2009)

Relationship between design patterns defects and crosscutting concern scattering degree: an empirical study. - Lerina Aversano; Luigi Cerulo; Massimiliano Di Penta (IET Softw., 2009)

The life and death of statically detected vulnerabilities: An empirical study. - Massimiliano Di Penta; Luigi Cerulo; Lerina Aversano (Inf. Softw. Technol., 2009)

Recovering Traceability Links between Business Activities and Software Components. - Lerina Aversano; Fiammetta Marulli; Maria Tortorella (CENTERIS (1), 2010)

Software System Evolution Driven by Business Alignment Measure. - Lerina Aversano; Carmine Grasso; Maria Tortorella (CSMR, 2010)

Evaluating the Quality of Free/Open Source Projects. - Lerina Aversano; Igino Pennino; Maria Tortorella (ENASE, 2010)

Using ERP and WfM Systems for Implementing Business Processes: An Empirical Study. - Lerina Aversano; Maria Tortorella (FGIT-ASEA, 2010)

Validation of a Measurement Framework of Business Process and Software System Alignment. - Lerina Aversano; Carmine Grasso; Maria Tortorella (ICEIS (3), 2010)

Evaluating the Quality of Free/Open Source ERP Systems. - Lerina Aversano; Igino Pennino; Maria Tortorella (ICEIS (1), 2010)

Evaluating the Quality of Free/Open Source Systems: A Case Study. - Lerina Aversano; Maria Tortorella (ICEIS, 2010)

Building a Virtual View of Heterogeneous Data Source Views. - Lerina Aversano; Roberto Intonti; Clelio Quattrocchi; Maria Tortorella (ICSOFT (1), 2010)

Recovering Traceability Links between Business Process and Software System Components. - Lerina Aversano; Fiammetta Marulli; Maria Tortorella (ICPC, 2010)

Measuring the alignment between business processes and software systems: a case study. - Lerina Aversano; Carmine Grasso; Maria Tortorella (SAC, 2010)

An empirical study on the maintenance of source code clones. - Suresh Thummalapenta; Luigi Cerulo; Lerina Aversano; Massimiliano Di Penta (Empir. Softw. Eng., 2010)

ALBIS - ALigning Business Processes and Information Systems: A Case Study. - Lerina Aversano; Carmine Grasso; Maria Tortorella (CENTERIS (2), 2011)

Applying EFFORT for Evaluating CRM Open Source Systems. - Lerina Aversano; Maria Tortorella (PROFES, 2011)

A Generalized Platform for Acquisition and Analysis of Heterogeneous Data Source Views. - Lerina Aversano; Maria Tortorella (SEDE, 2011)

Evolving Enterprise Information System in Small and Medium Enterprise: An Opportunistic Approach and a Case Study. - Lerina Aversano; Carmine Grasso; Maria Tortorella (CEC, 2011)

A Characterization Framework for Evaluating Business/IT Alignment Strategies. - Lerina Aversano; Carmine Grasso; Maria Tortorella (ICEIS (3), 2012)

A Literature Review of Business/IT Alignment Strategies. - Lerina Aversano; Carmine Grasso; Maria Tortorella (ICEIS, 2012)

An approach for restructuring text content. - Lerina Aversano; Gerardo Canfora; Giuseppe De Ruvo; Maria Tortorella (ICSE, 2013)

Evaluating architecture stability of software projects. - Lerina Aversano; Marco Molfetta; Maria Tortorella (WCRE, 2013)

Tracing Links Between Business Processes and Software Systems. - Lerina Aversano; Maria Tortorella (Int. J. Inf. Syst. Serv. Sect., 2013)

Quality evaluation of floss projects: Application to ERP systems. - Lerina Aversano; Maria Tortorella (Inf. Softw. Technol., 2013)

Understanding Enterprise Open Source Software Evolution. - Lerina Aversano; Marco Di Brino; Daniela Guardabascio; Marcello Salerno; Maria Tortorella (CENTERIS/ProjMAN/HCist, 2015)

A Review of Enterprise Modelling Studies. - Lerina Aversano; Maria Tortorella (ICEIS (3), 2015)

Analysing the Reliability of Open Source Software Projects. - Lerina Aversano; Maria Tortorella (ICSOFT-EA, 2015)

Business Process Aware Identification of Reusable Software Components. - Lerina Aversano; Marco Di Brino; Maria Tortorella (ICSOFT-EA, 2016)

Bug Report Quality Evaluation Considering the Effect of Submitter Reputation. - Lerina Aversano; Ermanno Tedeschi (ICSOFT-EA, 2016)

Assessing the Behavior of Software Analysis Tools. - Lerina Aversano; Carmine Grasso; Pasquale Grasso; Maria Tortorella (PROFES, 2016)

Managing the alignment between business processes and software systems. - Lerina Aversano; Carmine Grasso; Maria Tortorella (Inf. Softw. Technol., 2016)

Analysis of the Documentation of ERP Software Projects. - Lerina Aversano; Daniela Guardabascio; Maria Tortorella (CENTERIS/ProjMAN/HCist, 2017)

Evaluating the Quality of the Documentation of Open Source Software. - Lerina Aversano; Daniela Guardabascio; Maria Tortorella (ENASE, 2017)

Investigating Differences and Commonalities of Software Metric Tools. - Lerina Aversano; Carmine Grasso; Pasquale Grasso; Maria Tortorella (ICSOFT, 2017)

Analysing the Quality Evolution of Open Source Software Projects. - Lerina Aversano; Daniela Guardabascio; Maria Tortorella (SWQD, 2017)

Assessing the Impact of Measurement Tools on Software Mantainability Evaluation. - Lerina Aversano; Maria Tortorella (ENASE, 2018)

Analyzing the Instability of the Core Components of Software Projects. - Lerina Aversano; Daniela Guarda; Maria Tortorella (HICSS, 2018)

Issue Reports Analysis in Enterprise Open Source Systems. - Lerina Aversano (ICEIS (2), 2019)

Investigating on the impact of software clones on technical debt. - Lerina Aversano; Laura Nardi (TechDebt@ICSE, 2019)

Self-Admitted Technical Debt Removal and Refactoring Actions: Co-Occurrence or More? - Martina Iammarino; Fiorella Zampetti; Lerina Aversano; Massimiliano Di Penta (ICSME, 2019)

An Empirical Study on the Architecture Instability of Software Projects. - Lerina Aversano; Daniela Guardabascio; Maria Tortorella (Int. J. Softw. Eng. Knowl. Eng., 2019)

Fuzzy Neural Networks to Detect Parkinson Disease. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Riccardo Pecori (FUZZ-IEEE, 2020)

Temporal Convolutional Networks for Just-in-Time Software Defect Prediction. - Pasquale Ardimento; Lerina Aversano; Mario Luca Bernardi; Marta Cimitile (ICSOFT, 2020)

Investigating on the Relationships between Design Smells Removals and Refactorings. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Martina Iammarino; Kateryna Romanyuk (ICSOFT, 2020)

Data-Aware Declarative Process Mining for Malware Detection. - Pasquale Ardimento; Lerina Aversano; Mario Luca Bernardi; Marta Cimitile (IJCNN, 2020)

Early Detection of Parkinson Disease using Deep Neural Networks on Gait Dynamics. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Riccardo Pecori (IJCNN, 2020)

A Topic Modeling Approach To Evaluate The Comments Consistency To Source Code. - Martina Iammarino; Lerina Aversano; Mario Luca Bernardi; Marta Cimitile (IJCNN, 2020)

On the Relationship between Self-Admitted Technical Debt Removals and Technical Debt Measures. - Lerina Aversano; Martina Iammarino; Mimmo Carapella; Andrea Del Vecchio; Laura Nardi (Algorithms, 2020)

An Empirical Study on the Evolution of Design Smells. - Lerina Aversano; Umberto Carpenito; Martina Iammarino (Inf., 2020)

An approach for semantic integration of heterogeneous data sources. - Giuseppe Fusco; Lerina Aversano (PeerJ Comput. Sci., 2020)

Anomaly Detection of actual IoT traffic flows through Deep Learning. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Riccardo Pecori (ICMLA, 2021)

Transfer Learning for Just-in-Time Design Smells Prediction using Temporal Convolutional Networks. - Pasquale Ardimento; Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Martina Iammarino (ICSOFT, 2021)

Deep Neural Networks Ensemble for Lung Nodule Detection on Chest CT Scans. - Pasquale Ardimento; Lerina Aversano; Mario Luca Bernardi; Marta Cimitile (IJCNN, 2021)

Technical Debt predictive model through Temporal Convolutional Network. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Martina Iammarino (IJCNN, 2021)

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 (KES, 2021)

A systematic review on Deep Learning approaches for IoT security. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Riccardo Pecori (Comput. Sci. Rev., 2021)

Temporal convolutional networks for just-in-time design smells prediction using fine-grained software metrics. - Pasquale Ardimento; Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Martina Iammarino (Neurocomputing, 2021)

An empirical study on the co-occurrence between refactoring actions and Self-Admitted Technical Debt removal. - Martina Iammarino; Fiorella Zampetti; Lerina Aversano; Massimiliano Di Penta (J. Syst. Softw., 2021)

Continuous authentication using deep neural networks ensemble on keystroke dynamics. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Riccardo Pecori (PeerJ Comput. Sci., 2021)

Deep neural networks ensemble to detect COVID-19 from CT scans. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Riccardo Pecori (Pattern Recognit., 2021)

Using Machine Learning for Classification of Cancer Cells from Raman Spectroscopy. - Lerina Aversano; Mario Luca Bernardi; Vincenzo Calgano; Marta Cimitile; Concetta Esposito; Martina Iammarino; Marco Pisco; Sara Spaziani; Chiara Verdone (DeLTA, 2022)

An Explainable and Evolving Car Driver Identification System based on Decision Trees. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Pietro Ducange; Michela Fazzolari; Riccardo Pecori (EAIS, 2022)

Using Machine Learning for early prediction of Heart Disease. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Martina Iammarino; Debora Montano; Chiara Verdone (EAIS, 2022)

A Machine Learning approach for Early Detection of Parkinson's Disease Using acoustic traces. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Martina Iammarino; Debora Montano; Chiara Verdone (EAIS, 2022)

An Empirical Study to Predict Student Performance Using Information of the Virtual Learning Environment. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Martina Iammarino; Debora Montano; Chiara Verdone (HELMeTO, 2022)

Is There Any Correlation between Refactoring and Design Smell Occurrence? - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Martina Iammarino; Debora Montano (ICSOFT, 2022)

Early Detection of Parkinson's Disease using Spiral Test and Echo State Networks. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Martina Iammarino; Chiara Verdone (IJCNN, 2022)

An enhanced UNet variant for Effective Lung Cancer Detection. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Martina Iammarino; Chiara Verdone (IJCNN, 2022)

Technical Debt Forecasting from Source Code Using Temporal Convolutional Networks. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Martina Iammarino (PROFES, 2022)

Design patterns mining using neural sub-graph matching. - Pasquale Ardimento; Lerina Aversano; Mario Luca Bernardi; Marta Cimitile (SAC, 2022)

Fuzzy-based Process Mining to Discover the Coding Behavior: Challenges and Future Works. - Pasquale Ardimento; Lerina Aversano; Mario Luca Bernardi; Marta Cimitile (OLUD@WCCI, 2022)

Using deep temporal convolutional networks to just-in-time forecast technical debt principal. - Pasquale Ardimento; Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Martina Iammarino (J. Syst. Softw., 2022)

Water stress classification using Convolutional Deep Neural Networks. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile (J. Univers. Comput. Sci., 2022)

Just-in-time software defect prediction using deep temporal convolutional networks. - Pasquale Ardimento; Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Martina Iammarino (Neural Comput. Appl., 2022)

Anomaly Detection of Medical IoT Traffic Using Machine Learning. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Debora Montano; Riccardo Pecori; Luca Veltri (DATA, 2023)

Machine Learning Applied to Speech Recordings for Parkinson's Disease Recognition. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Martina Iammarino; Antonella Madau; Chiara Verdone (DeLTA, 2023)

An Explainable Approach for Early Parkinson Disease Detection Using Deep Learning. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Martina Iammarino; Antonella Madau; Chiara Verdone (DeLTA, 2023)

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 (ENASE, 2023)

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 (EUSFLAT/AGOP, 2023)

Explainable Deep Ensemble to Diagnose COVID-19 from CT Scans. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Riccardo Pecori; Chiara Verdone (EUSFLAT/AGOP, 2023)

Detecting the Usage of Large Language Models Exploiting Generative Adversarial Networks. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile (HELMeTO, 2023)

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 (ICMLA, 2023)

Understanding Compiler Effects on Clone Detection Process. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Martina Iammarino; Debora Montano (ICSOFT, 2023)

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 (KES, 2023)

Early Diagnosis of Cardiac Diseases using ECG Images and CNN-2D. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Debora Montano; Riccardo Pecori (KES, 2023)

Raman Spectroscopy of Cells for Cancer Classification Through Machine Learning. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Andrea Cusano; Martina Iammarino; Marco Pisco; Sara Spaziani; Chiara Verdone (MetroXRAINE, 2023)

UML Miner: A Tool for Mining UML Diagrams. - Pasquale Ardimento; Lerina Aversano; Mario Luca Bernardi; Vito Alessandro Carella; Marta Cimitile; Michele Scalera (MoDELS (Companion), 2023)

Forecasting the Developer's Impact in Managing the Technical Debt. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Martina Iammarino (PROFES (2), 2023)

Forecasting technical debt evolution in software systems: an empirical study. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Martina Iammarino; Debora Montano (Frontiers Comput. Sci., 2023)

A systematic review on artificial intelligence techniques for detecting thyroid diseases. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Andrea Maiellaro; Riccardo Pecori (PeerJ Comput. Sci., 2023)

Evo-GUNet3++: Using evolutionary algorithms to train UNet-based architectures for efficient 3D lung cancer detection. - Pasquale Ardimento; Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Martina Iammarino; Chiara Verdone (Appl. Soft Comput., 2023)

A data-aware explainable deep learning approach for next activity prediction. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Martina Iammarino; Chiara Verdone (Eng. Appl. Artif. Intell., 2023)

Adopting Delta Maintainability Model for Just in Time Bug Prediction. - Lerina Aversano; Martina Iammarino; Antonella Madau; Debora Montano; Chiara Verdone (ICSOFT, 2024)

A Machine Learning Approach for the Detection of Thoracic Disease using Chest X-ray reports. - Lerina Aversano; Martina Iammarino; Antonella Madau; Debora Montano; Chiara Verdone (KES, 2024)

An Explainable Approach for Early Diagnosis of Parkinson's Disease Exploring Motor Symptoms. - Lerina Aversano; Antonella Madau; Debora Montano (MetroXRAINE, 2024)

A systematic review on artificial intelligence approaches for smart health devices. - Lerina Aversano; Martina Iammarino; Ilaria Mancino; Debora Montano (PeerJ Comput. Sci., 2024)

Characterization of Heart Diseases per Single Lead Using ECG Images and CNN-2D. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Debora Montano; Riccardo Pecori (Sensors, 2024)

Explainable Anomaly Detection of Synthetic Medical IoT Traffic Using Machine Learning. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Debora Montano; Riccardo Pecori; Luca Veltri (SN Comput. Sci., 2024)

An Explainable Model for Waste Cost Prediction: A Study on Linked Open Data in Italy. - Lerina Aversano; Martina Iammarino; Antonella Madau; Debora Montano; Chiara Verdone (ICSOFT, 2025)

What Time Is It? Finding Which Temporal Features is More Useful for Next Activity Prediction. - Lerina Aversano; Martina Iammarino; Antonella Madau; Giuseppe Pirlo; Gianfranco Semeraro (IEEE Open J. Comput. Soc., 2025)

Process mining applications in healthcare: a systematic literature review. - Lerina Aversano; Martina Iammarino; Antonella Madau; Giuseppe Pirlo; Gianfranco Semeraro (PeerJ Comput. Sci., 2025)