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IAMMARINO, Martina

IAMMARINO, Martina  

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Titolo Data di pubblicazione Autore(i) File
A data-aware explainable deep learning approach for next activity prediction 1-gen-2023 Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.; Verdone, C.
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 Empirical Study on the Relationship Between the Co-Occurrence of Design Smell and Refactoring Activities 1-gen-2023 Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.; Montano, D.
An Empirical Study to Predict Student Performance Using Information of the Virtual Learning Environment 1-gen-2023 Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.; Montano, D.; Verdone, C.
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, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.; Madau, A.; 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.
Early Diagnosis of Parkinson's Disease Exploting Motor and Non-Motor Symptoms: Results from the PPMI Cohort 1-gen-2023 Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.; Madau, A.; Verdone, C.
Early Parkinson’s Disease Detection from EEG Traces Using Machine Learning Techniques 1-gen-2023 Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.; Montano, D.; Verdone, C.
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, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.
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.
Machine Learning Applied to Speech Recordings for Parkinson’s Disease Recognition 1-gen-2023 Aversano, L.; Bernardi, M. L.; Cimitile, M.; Iammarino, M.; Madau, A.; Verdone, C.
PerconAI 2024: 3rd Workshop on Pervasive and Resource-Constrained Artificial Intelligence - Welcome and Committees 1-gen-2024 Angelov, P.; Bernardi, M. L.; Nardini, F. M.; Pecori, R.; Valerio, L.; Dini, P.; Ashraf, S.; Aversano, L.; Bianchini, M.; Brutti, A.; Bukovsky, I.; Cagnoni, S.; Cao, J.; Cimitile, M.; Dazzi, P.; Iammarino, M.; Iosifidis, A.; Michahelles, F.; Mora, A.; Mozzon, S.; Panella, G.; Picone, M.; Rulli, C.; Sadler, B. M.; Welsh, 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.