Martina Iammarino
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
19
Venues
6
Active years
2020–2025
Best venue rank
C
Where they publish
Papers
19 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | IJCNN | Explainability of Technical Debt: An Analysis on the Role of Refactoring in Software Systems. | Lerina Aversano, Martina Iammarino, Antonella Madau, Debora Montano, Chiara Verdone |
| 2025 | ICSoft | 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 |
| 2025 | KES | Explainable Approach For Early Diagnosis of Parkinson's Using Audio Tracks. | Lerina Aversano, Martina Iammarino, Antonella Madau, Debora Montano, Chiara Verdone |
| 2024 | ICSoft | Adopting Delta Maintainability Model for Just in Time Bug Prediction. | Lerina Aversano, Martina Iammarino, Antonella Madau, Debora Montano, Chiara Verdone |
| 2024 | KES | 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 |
| 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 | 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 | 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 |
| 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 |
| 2020 | IJCNN | A Topic Modeling Approach To Evaluate The Comments Consistency To Source Code. | Martina Iammarino, 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 |