| 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 | 83 | 2021 |
| 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 | 36 | 2019 |
| 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 | 32 | 2021 |
| 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 | 28 | 2020 |
| 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 | 17 | 2022 |
| 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 | 17 | 2022 |
| An empirical study on the evolution of design smells L Aversano, U Carpenito, M Iammarino Information 11 (7), 348, 2020 | 15 | 2020 |
| 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 | 14 | 2022 |
| 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 | 12 | 2022 |
| 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 | 12 | 2020 |
| Investigating on the Relationships between Design Smells Removals and Refactorings. L Aversano, ML Bernardi, M Cimitile, M Iammarino, K Romanyuk ICSOFT, 212-219, 2020 | 11 | 2020 |
| 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 | 10 | 2021 |
| 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 | 9 | 2023 |
| 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 | 9 | 2023 |
| 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 | 9 | 2020 |
| 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 | 8 | 2022 |
| 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 | 7 | 2022 |
| 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 | 6 | 2021 |
| A data-aware explainable deep learning approach for next activity prediction L Aversano, ML Bernardi, M Cimitile, M Iammarino, C Verdone Engineering Applications of Artificial Intelligence 126, 106758, 2023 | 5 | 2023 |
| 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 | 5 | 2021 |
Lerina AversanoUniversity of Sannio ItalyVerified email at unisannio.it
