Chiara Verdone

According to our database, Chiara Verdone authored at least 16 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Adopting Delta Maintainability Model for Just in Time Bug Prediction.

Lerina Aversano, Martina Iammarino, Antonella Madau, Debora Montano, Chiara Verdone

Proceedings of the 19th International Conference on Software Technologies, 2024

2023

A data-aware explainable deep learning approach for next activity prediction.

Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Chiara Verdone

Eng. Appl. Artif. Intell., November, 2023

Evo-GUNet3++: Using evolutionary algorithms to train UNet-based architectures for efficient 3D lung cancer detection.

Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Chiara Verdone

Appl. Soft Comput., September, 2023

Raman Spectroscopy of Cells for Cancer Classification Through Machine Learning.

Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Andrea Cusano, Martina Iammarino, Marco Pisco, Sara Spaziani, Chiara Verdone

Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023

Early Diagnosis of Parkinson's Disease Exploting Motor and Non-Motor Symptoms: Results from the PPMI Cohort.

Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Antonella Madau, Chiara Verdone

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

Explainable Deep Ensemble to Diagnose COVID-19 from CT Scans.

Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Riccardo Pecori, Chiara Verdone

Proceedings of the Fuzzy Logic and Technology, and Aggregation Operators, 2023

Early Parkinson's Disease Detection from EEG Traces Using Machine Learning Techniques.

Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano, Chiara Verdone

Proceedings of the Fuzzy Logic and Technology, and Aggregation Operators, 2023

An Explainable Approach for Early Parkinson Disease Detection Using Deep Learning.

Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Antonella Madau, Chiara Verdone

Proceedings of the Deep Learning Theory and Applications - 4th International Conference, 2023

Machine Learning Applied to Speech Recordings for Parkinson's Disease Recognition.

Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Antonella Madau, Chiara Verdone

Proceedings of the Deep Learning Theory and Applications - 4th International Conference, 2023

2022

An enhanced UNet variant for Effective Lung Cancer Detection.

Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Chiara Verdone

Proceedings of the International Joint Conference on Neural Networks, 2022

Early Detection of Parkinson's Disease using Spiral Test and Echo State Networks.

Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Chiara Verdone

Proceedings of the International Joint Conference on Neural Networks, 2022

An Empirical Study to Predict Student Performance Using Information of the Virtual Learning Environment.

Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano, Chiara Verdone

Proceedings of the Higher Education Learning Methodologies and Technologies Online, 2022

A Machine Learning approach for Early Detection of Parkinson's Disease Using acoustic traces.

Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano, Chiara Verdone

Proceedings of the IEEE International Conference on Evolving and Adaptive Intelligent System, 2022

Using Machine Learning for early prediction of Heart Disease.

Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano, Chiara Verdone

Proceedings of the IEEE International Conference on Evolving and Adaptive Intelligent System, 2022

Using Machine Learning for Classification of Cancer Cells from Raman Spectroscopy.

Lerina Aversano, Mario Luca Bernardi, Vincenzo Calgano, Marta Cimitile, Concetta Esposito, Martina Iammarino, Marco Pisco, Sara Spaziani, Chiara Verdone

Proceedings of the 3rd International Conference on Deep Learning Theory and Applications, 2022

2021

Thyroid Disease Treatment prediction with machine learning approaches.

Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Paolo Emidio Macchia, Immacolata Cristina Nettore, Chiara Verdone

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021