IAMMARINO, Martina
IAMMARINO, Martina
DIPARTIMENTO DI INGEGNERIA (solo contabile)
A Machine Learning approach for Early Detection of Parkinson's Disease Using acoustic traces
2022-01-01 Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.; Montano, D.; Verdone, C.
A Topic Modeling Approach to Evaluate the Comments Consistency to Source Code
2020-01-01 Iammarino, M.; Aversano, L.; Bernardi, M. L.; Cimitile, M.
An empirical study on the co-occurrence between refactoring actions and Self-Admitted Technical Debt removal
2021-01-01 Iammarino, M.; Zampetti, F.; Aversano, L.; Di Penta, M.
An enhanced UNet variant for Effective Lung Cancer Detection
2022-01-01 Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.; Verdone, C.
Assessment of Primary Human Liver Cancer Cells by Artificial Intelligence-Assisted Raman Spectroscopy
2023-01-01 Esposito, C.; Janneh, M.; Spaziani, S.; Calcagno, V.; Bernardi, M. L.; Iammarino, M.; Verdone, C.; Tagliamonte, M.; Buonaguro, L.; Pisco, M.; Aversano, L.; Cusano, A.
Early Detection of Parkinson's Disease using Spiral Test and Echo State Networks
2022-01-01 Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.; Verdone, C.
Forecasting technical debt evolution in software systems: an empirical study
2023-01-01 Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.; Montano, D.
Investigating on the relationships between design smells removals and refactorings
2020-01-01 Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.; Romanyuk, K.
Just-in-time software defect prediction using deep temporal convolutional networks
2022-01-01 Ardimento, P.; Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.
Self-Admitted Technical Debt Removal and Refactoring Actions: Co-Occurrence or More?
2019-01-01 Iammarino, M.; Zampetti, F.; Aversano, L.; Di Penta, M.
Technical Debt Forecasting from Source Code Using Temporal Convolutional Networks
2022-01-01 Lerina, A.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.
Technical Debt predictive model through Temporal Convolutional Network
2021-01-01 Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.
Temporal convolutional networks for just-in-time design smells prediction using fine-grained software metrics
2021-01-01 Ardimento, P.; Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.
Thyroid disease treatment prediction with machine learning approaches
2021-01-01 Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.; Macchia, P. E.; Nettore, I. C.; Verdone, C.
Tomato diseases Classification Based on VGG and Transfer Learning
2020-01-01 Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.; Rondinella, S.
Transfer learning for just-in-time design smells prediction using temporal convolutional networks
2021-01-01 Ardimento, P.; Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.
Using deep temporal convolutional networks to just-in-time forecast technical debt principal
2022-01-01 Ardimento, P.; Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.
Using Machine Learning for early prediction of Heart Disease
2022-01-01 Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.; Montano, D.; Verdone, C.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A Machine Learning approach for Early Detection of Parkinson's Disease Using acoustic traces | 1-gen-2022 | Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.; Montano, D.; Verdone, C. | |
| A Topic Modeling Approach to Evaluate the Comments Consistency to Source Code | 1-gen-2020 | Iammarino, M.; Aversano, L.; Bernardi, M. L.; Cimitile, M. | |
| An empirical study on the co-occurrence between refactoring actions and Self-Admitted Technical Debt removal | 1-gen-2021 | Iammarino, M.; Zampetti, F.; Aversano, L.; Di Penta, M. | |
| An enhanced UNet variant for Effective Lung Cancer Detection | 1-gen-2022 | Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.; Verdone, C. | |
| Assessment of Primary Human Liver Cancer Cells by Artificial Intelligence-Assisted Raman Spectroscopy | 1-gen-2023 | Esposito, C.; Janneh, M.; Spaziani, S.; Calcagno, V.; Bernardi, M. L.; Iammarino, M.; Verdone, C.; Tagliamonte, M.; Buonaguro, L.; Pisco, M.; Aversano, L.; Cusano, A. | |
| Early Detection of Parkinson's Disease using Spiral Test and Echo State Networks | 1-gen-2022 | Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.; Verdone, C. | |
| Forecasting technical debt evolution in software systems: an empirical study | 1-gen-2023 | Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.; Montano, D. | |
| Investigating on the relationships between design smells removals and refactorings | 1-gen-2020 | Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.; Romanyuk, K. | |
| Just-in-time software defect prediction using deep temporal convolutional networks | 1-gen-2022 | Ardimento, P.; Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M. | |
| Self-Admitted Technical Debt Removal and Refactoring Actions: Co-Occurrence or More? | 1-gen-2019 | Iammarino, M.; Zampetti, F.; Aversano, L.; Di Penta, M. | |
| Technical Debt Forecasting from Source Code Using Temporal Convolutional Networks | 1-gen-2022 | Lerina, A.; Bernardi, M. L.; Cimitile, M.; Iammarino, M. | |
| Technical Debt predictive model through Temporal Convolutional Network | 1-gen-2021 | Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M. | |
| Temporal convolutional networks for just-in-time design smells prediction using fine-grained software metrics | 1-gen-2021 | Ardimento, P.; Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M. | |
| Thyroid disease treatment prediction with machine learning approaches | 1-gen-2021 | Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.; Macchia, P. E.; Nettore, I. C.; Verdone, C. | |
| Tomato diseases Classification Based on VGG and Transfer Learning | 1-gen-2020 | Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.; Rondinella, S. | |
| Transfer learning for just-in-time design smells prediction using temporal convolutional networks | 1-gen-2021 | Ardimento, P.; Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M. | |
| Using deep temporal convolutional networks to just-in-time forecast technical debt principal | 1-gen-2022 | Ardimento, P.; Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M. | |
| Using Machine Learning for early prediction of Heart Disease | 1-gen-2022 | Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.; Montano, D.; Verdone, C. |