Martina Iammarino

44 papers A 1B 11C 6Journal 14Unranked 12
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Hybrid Approach Integrating Clinical Data and Tomography to Improve Diagnosis of Parkinson's Disease.
ACM Trans. Comput. Heal.
Lerina Aversano, Martina Iammarino, Antonella Madau, Debora Montano, Chiara Verdone
2025 C conf
An Explainable Model for Waste Cost Prediction: A Study on Linked Open Data in Italy.
ICSOFT
Lerina Aversano, Martina Iammarino, Antonella Madau, Debora Montano, Chiara Verdone
2025 B conf
Explainability of Technical Debt: An Analysis on the Role of Refactoring in Software Systems.
IJCNN
Lerina Aversano, Martina Iammarino, Antonella Madau, Debora Montano, Chiara Verdone
2025 B conf
Explainable Approach For Early Diagnosis of Parkinson's Using Audio Tracks.
KES
Lerina Aversano, Martina Iammarino, Antonella Madau, Debora Montano, Chiara Verdone
2025 — conf
From Raw Electrocardiogram to Classification: A Lightweight Approach to Paroxysmal Atrial Fibrillation Detection.
MetroXRAINE
Ilaria Mancino, Chiara Verdone, Martina Iammarino, Lerina Aversano
2025 — conf
Mining Community Health: Association Rules for the Design of Proximity Care Models.
MetroXRAINE
Lerina Aversano, Martina Iammarino, Antonella Madau, Ilaria Mancino, Debora Montano, Chiara Verdone
2025 J jnl
Process mining applications in healthcare: a systematic literature review.
PeerJ Comput. Sci.
Lerina Aversano, Martina Iammarino, Antonella Madau, Giuseppe Pirlo, Gianfranco Semeraro
2025 J jnl
Time series forecasting for bug resolution using machine learning and deep learning models.
Frontiers Big Data
Lerina Aversano, Martina Iammarino, Antonella Madau, Fabiano Pecorelli
2025 J jnl
What Time Is It? Finding Which Temporal Features is More Useful for Next Activity Prediction.
IEEE Open J. Comput. Soc.
Lerina Aversano, Martina Iammarino, Antonella Madau, Giuseppe Pirlo, Gianfranco Semeraro
2024 B conf
A Machine Learning Approach for the Detection of Thoracic Disease using Chest X-ray reports.
KES
Lerina Aversano, Martina Iammarino, Antonella Madau, Debora Montano, Chiara Verdone
2024 J jnl
A systematic review on artificial intelligence approaches for smart health devices.
PeerJ Comput. Sci.
Lerina Aversano, Martina Iammarino, Ilaria Mancino, Debora Montano
2024 C conf
Adopting Delta Maintainability Model for Just in Time Bug Prediction.
ICSOFT
Lerina Aversano, Martina Iammarino, Antonella Madau, Debora Montano, Chiara Verdone
2024 — conf
Raman Spectroscopy of Cancer Cells: An Explainable Classification Model.
MetroXRAINE
Andrea Cusano, Martina Iammarino, Marco Pisco, Sara Spaziani, Chiara Verdone
2023 J jnl
A data-aware explainable deep learning approach for next activity prediction.
Eng. Appl. Artif. Intell.
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Chiara Verdone
2023 B conf
An Empirical Study on the Relationship Between the Co-Occurrence of Design Smell and Refactoring Activities.
ENASE
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano
2023 — conf
An Explainable Approach for Early Parkinson Disease Detection Using Deep Learning.
DeLTA
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Antonella Madau, Chiara Verdone
2023 B conf
Early Diagnosis of Parkinson's Disease Exploting Motor and Non-Motor Symptoms: Results from the PPMI Cohort.
KES
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Antonella Madau, Chiara Verdone
2023 — conf
Early Parkinson's Disease Detection from EEG Traces Using Machine Learning Techniques.
EUSFLAT/AGOP
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano, Chiara Verdone
2023 J jnl
Evo-GUNet3++: Using evolutionary algorithms to train UNet-based architectures for efficient 3D lung cancer detection.
Appl. Soft Comput.
Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Chiara Verdone
2023 J jnl
Forecasting technical debt evolution in software systems: an empirical study.
Frontiers Comput. Sci.
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano
2023 — conf
Forecasting the Developer's Impact in Managing the Technical Debt.
PROFES (2)
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino
2023 — conf
Machine Learning Applied to Speech Recordings for Parkinson's Disease Recognition.
DeLTA
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Antonella Madau, Chiara Verdone
2023 — conf
Raman Spectroscopy of Cells for Cancer Classification Through Machine Learning.
MetroXRAINE
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Andrea Cusano, Martina Iammarino, Marco Pisco, Sara Spaziani, Chiara Verdone
2023 C conf
Understanding Compiler Effects on Clone Detection Process.
ICSOFT
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano
2022 — conf
A Machine Learning approach for Early Detection of Parkinson's Disease Using acoustic traces.
EAIS
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano, Chiara Verdone
2022 — conf
An Empirical Study to Predict Student Performance Using Information of the Virtual Learning Environment.
HELMeTO
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano, Chiara Verdone
2022 B conf
An enhanced UNet variant for Effective Lung Cancer Detection.
IJCNN
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Chiara Verdone
2022 B conf
Early Detection of Parkinson's Disease using Spiral Test and Echo State Networks.
IJCNN
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Chiara Verdone
2022 C conf
Is There Any Correlation between Refactoring and Design Smell Occurrence?
ICSOFT
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano
2022 J jnl
Just-in-time software defect prediction using deep temporal convolutional networks.
Neural Comput. Appl.
Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino
2022 B conf
Technical Debt Forecasting from Source Code Using Temporal Convolutional Networks.
PROFES
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino
2022 — conf
Using Machine Learning for Classification of Cancer Cells from Raman Spectroscopy.
DeLTA
Lerina Aversano, Mario Luca Bernardi, Vincenzo Calgano, Marta Cimitile, Concetta Esposito, Martina Iammarino, Marco Pisco, Sara Spaziani, Chiara Verdone
2022 — conf
Using Machine Learning for early prediction of Heart Disease.
EAIS
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano, Chiara Verdone
2022 J jnl
Using deep temporal convolutional networks to just-in-time forecast technical debt principal.
J. Syst. Softw.
Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino
2021 J jnl
An empirical study on the co-occurrence between refactoring actions and Self-Admitted Technical Debt removal.
J. Syst. Softw.
Martina Iammarino, Fiorella Zampetti, Lerina Aversano, Massimiliano Di Penta
2021 B conf
Technical Debt predictive model through Temporal Convolutional Network.
IJCNN
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino
2021 J jnl
Temporal convolutional networks for just-in-time design smells prediction using fine-grained software metrics.
Neurocomputing
Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino
2021 B conf
Thyroid Disease Treatment prediction with machine learning approaches.
KES
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Paolo Emidio Macchia, Immacolata Cristina Nettore, Chiara Verdone
2021 C conf
Transfer Learning for Just-in-Time Design Smells Prediction using Temporal Convolutional Networks.
ICSOFT
Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino
2020 B conf
A Topic Modeling Approach To Evaluate The Comments Consistency To Source Code.
IJCNN
Martina Iammarino, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile
2020 J jnl
An Empirical Study on the Evolution of Design Smells.
Inf.
Lerina Aversano, Umberto Carpenito, Martina Iammarino
2020 C conf
Investigating on the Relationships between Design Smells Removals and Refactorings.
ICSOFT
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Kateryna Romanyuk
2020 J jnl
On the Relationship between Self-Admitted Technical Debt Removals and Technical Debt Measures.
Algorithms
Lerina Aversano, Martina Iammarino, Mimmo Carapella, Andrea Del Vecchio, Laura Nardi
2019 A conf
Self-Admitted Technical Debt Removal and Refactoring Actions: Co-Occurrence or More?
ICSME
Martina Iammarino, Fiorella Zampetti, Lerina Aversano, Massimiliano Di Penta