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Martina iammarino
Martina iammarino
Researcher
Verified email at unisannio.it
Title
Cited by
Cited by
Year
Thyroid disease treatment prediction with machine learning approaches
L Aversano, ML Bernardi, M Cimitile, M Iammarino, PE Macchia, ...
Procedia Computer Science 192, 1031-1040, 2021
592021
Self-admitted technical debt removal and refactoring actions: Co-occurrence or more?
M Iammarino, F Zampetti, L Aversano, M Di Penta
2019 IEEE International Conference on Software Maintenance and Evolution …, 2019
332019
An empirical study on the co-occurrence between refactoring actions and self-admitted technical debt removal
M Iammarino, F Zampetti, L Aversano, M Di Penta
Journal of Systems and Software 178, 110976, 2021
262021
Tomato diseases classification based on VGG and transfer learning
L Aversano, ML Bernardi, M Cimitile, M Iammarino, S Rondinella
2020 IEEE International Workshop on Metrology for Agriculture and Forestry …, 2020
252020
A machine learning approach for early detection of parkinson’s disease using acoustic traces
L Aversano, ML Bernardi, M Cimitile, M Iammarino, D Montano, ...
2022 IEEE International Conference on Evolving and Adaptive Intelligent …, 2022
122022
Early detection of parkinson's disease using spiral test and echo state networks
L Aversano, ML Bernardi, M Cimitile, M Iammarino, C Verdone
2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022
102022
Just-in-time software defect prediction using deep temporal convolutional networks
P Ardimento, L Aversano, ML Bernardi, M Cimitile, M Iammarino
Neural Computing and Applications 34 (5), 3981-4001, 2022
102022
An empirical study on the evolution of design smells
L Aversano, U Carpenito, M Iammarino
Information 11 (7), 348, 2020
102020
Investigating on the Relationships between Design Smells Removals and Refactorings.
L Aversano, ML Bernardi, M Cimitile, M Iammarino, K Romanyuk
ICSOFT, 212-219, 2020
102020
Using machine learning for early prediction of heart disease
L Aversano, ML Bernardi, M Cimitile, M Iammarino, D Montano, ...
2022 IEEE International Conference on Evolving and Adaptive Intelligent …, 2022
92022
Temporal convolutional networks for just-in-time design smells prediction using fine-grained software metrics
P Ardimento, L Aversano, ML Bernardi, M Cimitile, M Iammarino
Neurocomputing 463, 454-471, 2021
92021
A topic modeling approach to evaluate the comments consistency to source code
M Iammarino, L Aversano, ML Bernardi, M Cimitile
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
92020
On the relationship between self-admitted technical debt removals and technical debt measures
L Aversano, M Iammarino, M Carapella, AD Vecchio, L Nardi
Algorithms 13 (7), 168, 2020
92020
An enhanced UNet variant for effective lung cancer detection
L Aversano, ML Bernardi, M Cimitile, M Iammarino, C Verdone
2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022
72022
Technical debt predictive model through temporal convolutional network
L Aversano, ML Bernardi, M Cimitile, M Iammarino
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
62021
Using deep temporal convolutional networks to just-in-time forecast technical debt principal
P Ardimento, L Aversano, ML Bernardi, M Cimitile, M Iammarino
Journal of Systems and Software 194, 111481, 2022
52022
Evo-GUNet3++: Using evolutionary algorithms to train UNet-based architectures for efficient 3D lung cancer detection
P Ardimento, L Aversano, ML Bernardi, M Cimitile, M Iammarino, ...
Applied Soft Computing 144, 110465, 2023
42023
Transfer Learning for Just-in-Time Design Smells Prediction using Temporal Convolutional Networks.
P Ardimento, L Aversano, ML Bernardi, M Cimitile, M Iammarino
ICSOFT, 310-317, 2021
42021
Forecasting technical debt evolution in software systems: an empirical study
L Aversano, ML Bernardi, M Cimitile, M Iammarino, D Montano
Frontiers of Computer Science 17 (3), 173210, 2023
32023
Using Machine Learning for Classification of Cancer Cells from Raman Spectroscopy.
L Aversano, ML Bernardi, V Calgano, M Cimitile, C Esposito, ...
DeLTA, 15-24, 2022
32022
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