IAMMARINO, Martina

IAMMARINO, Martina  

DIPARTIMENTO DI INGEGNERIA (solo contabile)  

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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.