Antonella Madau

Orcid: 0009-0003-2227-9778

According to our database¹, Antonella Madau authored at least 16 papers between 2023 and 2025.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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Bibliography

2025

A Hybrid Approach Integrating Clinical Data and Tomography to Improve Diagnosis of Parkinson's Disease.

[BibT_eX]

[DOI]

ACM Trans. Comput. Heal., October, 2025

Process mining applications in healthcare: a systematic literature review.

[BibT_eX]

[DOI]

PeerJ Comput. Sci., 2025

What Time Is It? Finding Which Temporal Features is More Useful for Next Activity Prediction.

[BibT_eX]

[DOI]

IEEE Open J. Comput. Soc., 2025

Time series forecasting for bug resolution using machine learning and deep learning models.

[BibT_eX]

[DOI]

Frontiers Big Data, 2025

Mining Community Health: Association Rules for the Design of Proximity Care Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2025

Explainable Approach For Early Diagnosis of Parkinson's Using Audio Tracks.

[BibT_eX]

[DOI]

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 29th International Conference KES-2025, 2025

Explainability of Technical Debt: An Analysis on the Role of Refactoring in Software Systems.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2025

An Explainable Model for Waste Cost Prediction: A Study on Linked Open Data in Italy.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Software Technologies, 2025

Process Mining and Machine Learning for Predicting Clinical Outcomes in Emergency Care: A Study on the MIMICEL Dataset.

[BibT_eX]

[DOI]

Antonella Madau

Gianfranco Semeraro

Proceedings of the 14th International Conference on Data Science, 2025

2024

An Explainable Approach to Characterize Heart Diseases Using ECG Images.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2024

An Explainable Approach for Early Diagnosis of Parkinson's Disease Exploring Motor Symptoms.

[BibT_eX]

[DOI]

Lerina Aversano

Antonella Madau

Debora Montano

Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2024

A Machine Learning Approach for the Detection of Thoracic Disease using Chest X-ray reports.

[BibT_eX]

[DOI]

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 28th International Conference KES-2024, 2024

Adopting Delta Maintainability Model for Just in Time Bug Prediction.

[BibT_eX]

[DOI]

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

2023

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

Antonella Madau

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