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ORCIDMartina Iammarino
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2020 – today
- 2024
[c23]Lerina Aversano, Martina Iammarino, Antonella Madau, Debora Montano, Chiara Verdone:
Adopting Delta Maintainability Model for Just in Time Bug Prediction. ICSOFT 2024: 419-426- 2023
- [j9]Pasquale Ardimento
, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Chiara Verdone:
Evo-GUNet3++: Using evolutionary algorithms to train UNet-based architectures for efficient 3D lung cancer detection. Appl. Soft Comput. 144: 110465 (2023) - [j8]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Chiara Verdone:
A data-aware explainable deep learning approach for next activity prediction. Eng. Appl. Artif. Intell. 126: 106758 (2023) - [j7]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano:
Forecasting technical debt evolution in software systems: an empirical study. Frontiers Comput. Sci. 17(3): 173210 (2023) - [c22]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Antonella Madau, Chiara Verdone:
Machine Learning Applied to Speech Recordings for Parkinson's Disease Recognition. DeLTA 2023: 101-114 - [c21]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Antonella Madau, Chiara Verdone:
An Explainable Approach for Early Parkinson Disease Detection Using Deep Learning. DeLTA 2023: 326-339 - [c20]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano:
An Empirical Study on the Relationship Between the Co-Occurrence of Design Smell and Refactoring Activities. ENASE 2023: 742-749 - [c19]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano, Chiara Verdone:
Early Parkinson's Disease Detection from EEG Traces Using Machine Learning Techniques. EUSFLAT/AGOP 2023: 607-619 - [c18]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano:
Understanding Compiler Effects on Clone Detection Process. ICSOFT 2023: 345-352 - [c17]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Antonella Madau, Chiara Verdone:
Early Diagnosis of Parkinson's Disease Exploting Motor and Non-Motor Symptoms: Results from the PPMI Cohort. KES 2023: 2096-2105 - [c16]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Andrea Cusano, Martina Iammarino, Marco Pisco, Sara Spaziani, Chiara Verdone:
Raman Spectroscopy of Cells for Cancer Classification Through Machine Learning. MetroXRAINE 2023: 688-693 - [c15]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino:
Forecasting the Developer's Impact in Managing the Technical Debt. PROFES (2) 2023: 35-47 - 2022
- [j6]Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino:
Using deep temporal convolutional networks to just-in-time forecast technical debt principal. J. Syst. Softw. 194: 111481 (2022) - [j5]Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino:
Just-in-time software defect prediction using deep temporal convolutional networks. Neural Comput. Appl. 34(5): 3981-4001 (2022) - [c14]Lerina Aversano, Mario Luca Bernardi, Vincenzo Calgano, Marta Cimitile, Concetta Esposito, Martina Iammarino, Marco Pisco, Sara Spaziani, Chiara Verdone:
Using Machine Learning for Classification of Cancer Cells from Raman Spectroscopy. DeLTA 2022: 15-24 - [c13]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano, Chiara Verdone:
Using Machine Learning for early prediction of Heart Disease. EAIS 2022: 1-8 - [c12]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano, Chiara Verdone:
A Machine Learning approach for Early Detection of Parkinson's Disease Using acoustic traces. EAIS 2022: 1-8 - [c11]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano, Chiara Verdone:
An Empirical Study to Predict Student Performance Using Information of the Virtual Learning Environment. HELMeTO 2022: 536-547 - [c10]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano:
Is There Any Correlation between Refactoring and Design Smell Occurrence? ICSOFT 2022: 129-136 - [c9]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Chiara Verdone:
Early Detection of Parkinson's Disease using Spiral Test and Echo State Networks. IJCNN 2022: 1-8 - [c8]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Chiara Verdone:
An enhanced UNet variant for Effective Lung Cancer Detection. IJCNN 2022: 1-8 - [c7]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino:
Technical Debt Forecasting from Source Code Using Temporal Convolutional Networks. PROFES 2022: 581-591 - 2021
- [j4]Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino:
Temporal convolutional networks for just-in-time design smells prediction using fine-grained software metrics. Neurocomputing 463: 454-471 (2021) - [j3]Martina Iammarino, Fiorella Zampetti, Lerina Aversano, Massimiliano Di Penta:
An empirical study on the co-occurrence between refactoring actions and Self-Admitted Technical Debt removal. J. Syst. Softw. 178: 110976 (2021) - [c6]Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino:
Transfer Learning for Just-in-Time Design Smells Prediction using Temporal Convolutional Networks. ICSOFT 2021: 310-317 - [c5]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino:
Technical Debt predictive model through Temporal Convolutional Network. IJCNN 2021: 1-8 - [c4]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Paolo Emidio Macchia, Immacolata Cristina Nettore, Chiara Verdone:
Thyroid Disease Treatment prediction with machine learning approaches. KES 2021: 1031-1040 - 2020
- [j2]Lerina Aversano, Martina Iammarino, Mimmo Carapella, Andrea Del Vecchio, Laura Nardi:
On the Relationship between Self-Admitted Technical Debt Removals and Technical Debt Measures. Algorithms 13(7): 168 (2020) - [j1]Lerina Aversano, Umberto Carpenito, Martina Iammarino:
An Empirical Study on the Evolution of Design Smells. Inf. 11(7): 348 (2020) - [c3]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Kateryna Romanyuk:
Investigating on the Relationships between Design Smells Removals and Refactorings. ICSOFT 2020: 212-219 - [c2]Martina Iammarino, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile:
A Topic Modeling Approach To Evaluate The Comments Consistency To Source Code. IJCNN 2020: 1-8
2010 – 2019
- 2019
- [c1]Martina Iammarino, Fiorella Zampetti, Lerina Aversano, Massimiliano Di Penta:
Self-Admitted Technical Debt Removal and Refactoring Actions: Co-Occurrence or More? ICSME 2019: 186-190
Coauthor Index
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last updated on 2024-09-07 01:01 CEST by the dblp team
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