Iammarino, Martina
Iammarino, Martina
SCIENZE E TECNOLOGIE DELL'INFORMAZIONE
A data-aware explainable deep learning approach for next activity prediction
2023-01-01 Aversano, Lerina; Bernardi, Mario Luca; Cimitile, Marta; Iammarino, Martina; Verdone, Chiara
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 systematic review on artificial intelligence approaches for smart health devices
2024-01-01 Aversano, Lerina; Iammarino, Martina; Mancino, Ilaria; Montano, Debora
A Topic Modeling Approach to Evaluate the Comments Consistency to Source Code
2020-01-01 Iammarino, M.; Aversano, L.; Bernardi, M. L.; Cimitile, M.
Adopting Delta Maintainability Model for Just in Time Bug Prediction
2024-01-01 Aversano, Lerina; Iammarino, Martina; Madau, Antonella; Montano, Debora; Verdone, Chiara
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 Empirical Study on the Evolution of Design Smells
2020-01-01 Aversano, Lerina; Carpenito, Umberto; Iammarino, Martina
An Empirical Study on the Relationship Between the Co-Occurrence of Design Smell and Refactoring Activities
2022-01-01 Aversano, Lerina; Bernardi, Mario; Cimitile, Marta; Iammarino, Martina; Montano, Debora
An Empirical Study to Predict Student Performance Using Information of the Virtual Learning Environment
2022-01-01 Aversano, Lerina; Bernardi, Mario Luca; Cimitile, Marta; Iammarino, Martina; Montano, Debora; Verdone, Chiara
An enhanced UNet variant for Effective Lung Cancer Detection
2022-01-01 Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.; Verdone, C.
An Explainable Approach for Early Parkinson Disease Detection Using Deep Learning
2023-01-01 Aversano, Lerina; Bernardi, Mario L.; Cimitile, Marta; Iammarino, Martina; Madau, Antonella; Verdone, Chiara
Assessment of Primary Human Liver Cancer Cells by Artificial Intelligence-Assisted Raman Spectroscopy
2023-01-01 Esposito, Concetta; Janneh, Mohammed; Spaziani, Sara; Calcagno, Vincenzo; Bernardi, Mario Luca; Iammarino, Martina; Verdone, Chiara; Tagliamonte, Maria; Buonaguro, Luigi; Pisco, Marco; Aversano, Lerina; Cusano, Andrea
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.
Early Diagnosis of Parkinson's Disease Exploting Motor and Non-Motor Symptoms: Results from the PPMI Cohort
2023-01-01 Aversano, Lerina; Bernardi, Mario Luca; Cimitile, Marta; Iammarino, Martina; Madau, Antonella; Verdone, Chiara
Early Parkinson’s Disease Detection from EEG Traces Using Machine Learning Techniques
2023-01-01 Aversano, Lerina; Bernardi, Mario Luca; Cimitile, Marta; Iammarino, Martina; Montano, Debora; Verdone, Chiara
Evo-GUNet3++: Using evolutionary algorithms to train UNet-based architectures for efficient 3D lung cancer detection
2023-01-01 Ardimento, P.; 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.
Forecasting the Developer’s Impact in Managing the Technical Debt
2024-01-01 Aversano, Lerina; Bernardi, Mario Luca; Cimitile, Marta; Iammarino, Martina
Investigating on the relationships between design smells removals and refactorings
2020-01-01 Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.; Romanyuk, K.
Is There Any Correlation between Refactoring and Design Smell Occurrence?
2022-01-01 Aversano, Lerina; Bernardi, Mario; Cimitile, Marta; Iammarino, Martina; Montano, Debora
Titolo | Data di pubblicazione | Autore(i) | File |
---|---|---|---|
A data-aware explainable deep learning approach for next activity prediction | 1-gen-2023 | Aversano, Lerina; Bernardi, Mario Luca; Cimitile, Marta; Iammarino, Martina; Verdone, Chiara | |
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 systematic review on artificial intelligence approaches for smart health devices | 1-gen-2024 | Aversano, Lerina; Iammarino, Martina; Mancino, Ilaria; Montano, Debora | |
A Topic Modeling Approach to Evaluate the Comments Consistency to Source Code | 1-gen-2020 | Iammarino, M.; Aversano, L.; Bernardi, M. L.; Cimitile, M. | |
Adopting Delta Maintainability Model for Just in Time Bug Prediction | 1-gen-2024 | Aversano, Lerina; Iammarino, Martina; Madau, Antonella; Montano, Debora; Verdone, Chiara | |
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 Empirical Study on the Evolution of Design Smells | 1-gen-2020 | Aversano, Lerina; Carpenito, Umberto; Iammarino, Martina | |
An Empirical Study on the Relationship Between the Co-Occurrence of Design Smell and Refactoring Activities | 1-gen-2022 | Aversano, Lerina; Bernardi, Mario; Cimitile, Marta; Iammarino, Martina; Montano, Debora | |
An Empirical Study to Predict Student Performance Using Information of the Virtual Learning Environment | 1-gen-2022 | Aversano, Lerina; Bernardi, Mario Luca; Cimitile, Marta; Iammarino, Martina; Montano, Debora; Verdone, Chiara | |
An enhanced UNet variant for Effective Lung Cancer Detection | 1-gen-2022 | Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.; Verdone, C. | |
An Explainable Approach for Early Parkinson Disease Detection Using Deep Learning | 1-gen-2023 | Aversano, Lerina; Bernardi, Mario L.; Cimitile, Marta; Iammarino, Martina; Madau, Antonella; Verdone, Chiara | |
Assessment of Primary Human Liver Cancer Cells by Artificial Intelligence-Assisted Raman Spectroscopy | 1-gen-2023 | Esposito, Concetta; Janneh, Mohammed; Spaziani, Sara; Calcagno, Vincenzo; Bernardi, Mario Luca; Iammarino, Martina; Verdone, Chiara; Tagliamonte, Maria; Buonaguro, Luigi; Pisco, Marco; Aversano, Lerina; Cusano, Andrea | |
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. | |
Early Diagnosis of Parkinson's Disease Exploting Motor and Non-Motor Symptoms: Results from the PPMI Cohort | 1-gen-2023 | Aversano, Lerina; Bernardi, Mario Luca; Cimitile, Marta; Iammarino, Martina; Madau, Antonella; Verdone, Chiara | |
Early Parkinson’s Disease Detection from EEG Traces Using Machine Learning Techniques | 1-gen-2023 | Aversano, Lerina; Bernardi, Mario Luca; Cimitile, Marta; Iammarino, Martina; Montano, Debora; Verdone, Chiara | |
Evo-GUNet3++: Using evolutionary algorithms to train UNet-based architectures for efficient 3D lung cancer detection | 1-gen-2023 | Ardimento, P.; 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. | |
Forecasting the Developer’s Impact in Managing the Technical Debt | 1-gen-2024 | Aversano, Lerina; Bernardi, Mario Luca; Cimitile, Marta; Iammarino, Martina | |
Investigating on the relationships between design smells removals and refactorings | 1-gen-2020 | Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.; Romanyuk, K. | |
Is There Any Correlation between Refactoring and Design Smell Occurrence? | 1-gen-2022 | Aversano, Lerina; Bernardi, Mario; Cimitile, Marta; Iammarino, Martina; Montano, Debora |