Martina Iammarino

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 30

Top Topics

Cancer Detection

Software Defect

Convolutional Network

Machine Learning

Top Venues

Publications

Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano
Understanding Compiler Effects on Clone Detection Process. ICSOFT (2023)
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)
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 (2023)
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)
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)
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)
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) (2023)
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)
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)
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino
Forecasting the Developer's Impact in Managing the Technical Debt. PROFES (2) (2023)
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino
Technical Debt Forecasting from Source Code Using Temporal Convolutional Networks. PROFES (2022)
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Chiara Verdone
An enhanced UNet variant for Effective Lung Cancer Detection. IJCNN (2022)
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)
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)
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano
Is There Any Correlation between Refactoring and Design Smell Occurrence? ICSOFT (2022)
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)
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) (2022)
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 (2022)
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano, Chiara Verdone
Using Machine Learning for early prediction of Heart Disease. EAIS (2022)
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)
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 (2021)
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)
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 (2021)
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino
Technical Debt predictive model through Temporal Convolutional Network. IJCNN (2021)
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)
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) (2020)
Martina Iammarino, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile
A Topic Modeling Approach To Evaluate The Comments Consistency To Source Code. IJCNN (2020)
Lerina Aversano, Umberto Carpenito, Martina Iammarino
An Empirical Study on the Evolution of Design Smells. Inf. 11 (7) (2020)
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Kateryna Romanyuk
Investigating on the Relationships between Design Smells Removals and Refactorings. ICSOFT (2020)
Martina Iammarino, Fiorella Zampetti, Lerina Aversano, Massimiliano Di Penta
Self-Admitted Technical Debt Removal and Refactoring Actions: Co-Occurrence or More? ICSME (2019)