Author

Debora Montano

Observed name: Montano, Debora

Institutions: University of Foggia, University of Modena and Reggio Emilia

Observed institutions: University of Foggia, University of Modena and Reggio Emilia, University of Sannio, Mercatorum University

ORCID: 0000-0002-5598-0822

Observed ORCID: 0000-0002-5598-0822

OpenAlex ID: A5068404222

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

2022 · Lerina Aversano, Mario Luca Bernardi, et al. · IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS) · 23

Early Diagnosis of Cardiac Diseases using ECG Images and CNN-2D

2023 · Lerina Aversano, Mario Luca Bernardi, et al. · Procedia Computer Science · 19

Using Machine Learning for early prediction of Heart Disease

2022 · Lerina Aversano, Mario Luca Bernardi, et al. · IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS) · 18

Explainable Anomaly Detection of Synthetic Medical IoT Traffic Using Machine Learning

2024 · Lerina Aversano, Mario Luca Bernardi, et al. · SN Computer Science · 17

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Characterization of Heart Diseases per Single Lead Using ECG Images and CNN-2D

2024 · Lerina Aversano, Mario Luca Bernardi, et al. · Sensors · 12

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A systematic review on artificial intelligence approaches for smart health devices

2024 · Lerina Aversano, Martina Iammarino, et al. · PeerJ Computer Science · 11

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Anomaly Detection of Medical IoT Traffic Using Machine Learning

2023 · Lerina Aversano, Mario Bernardi, et al. · International Conference on Data Science, Technology and Applications (DATA) · 8

Forecasting technical debt evolution in software systems: an empirical study

2022 · Lerina Aversano, Mario Luca Bernardi, et al. · Frontiers of Computer Science · 8

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

2025 · Lerina Aversano, Martina Iammarino, et al. · ACM Transactions on Computing for Healthcare · 3

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

2023 · Lerina Aversano, Mario Luca Bernardi, et al. · Lecture notes in computer science · 3

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

2024 · Lerina Aversano, Martina Iammarino, et al. · Procedia Computer Science · 2

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

2023 · Lerina Aversano, Mario Luca Bernardi, et al. · Communications in computer and information science · 2

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

2024 · Lerina Aversano, Antonella Madau, et al. · IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) · 1

SIGMA: A Lightweight Multi-Perspective Statistical-Signature Framework for Concept Drift Detection in Business Process Event Logs

2026 · Lerina Aversano, Felice Franchini, et al. · International Conference on Data Science, Technology and Applications (DATA)

Toward Uncertainty-Aware and Structure-Sensitive Repair of Missing Activity Labels in Process Mining Event Logs

2026 · Lerina Aversano, Felice Franchini, et al. · International Conference on Data Science, Technology and Applications (DATA)

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

2025 · Lerina Aversano, Martina Iammarino, et al. · IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)

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

2025 · Lerina Aversano, Martina Iammarino, et al. · International Joint Conference on Neural Networks (IJCNN)

Repairing Missing Activity Labels in Healthcare Process Logs: a Machine Learning Approach

2025 · Lerina Aversano, Martina Iammarino, et al. · Smart innovation, systems and technologies

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

2025 · Lerina Aversano, Martina Iammarino, et al. · International Conference on Software Technologies (ICSOFT)

Explainable Approach For Early Diagnosis of Parkinson’s Using Audio Tracks

2025 · Lerina Aversano, Martina Iammarino, et al. · Procedia Computer Science

Adopting Delta Maintainability Model for Just in Time Bug Prediction

2024 · Lerina Aversano, Martina Iammarino, et al. · International Conference on Software Technologies (ICSOFT)

Machine and Deep Learning Techniques to Classify Arousal Judgments in Dynamic Virtual Experience of Architecture

2023 · Riccardo Pecori, Paolo Presti, et al. · International Conference on Machine Learning and Applications

An Empirical Study on the Relationship Between the Co-Occurrence of Design Smell and Refactoring Activities

2023 · Lerina Aversano, Mario Bernardi, et al. · International Conference on Evaluation of Novel Approaches to Software Engineering

Understanding Compiler Effects on Clone Detection Process

2023 · Lerina Aversano, Mario Bernardi, et al. · International Conference on Software Technologies (ICSOFT)

Is There Any Correlation between Refactoring and Design Smell Occurrence?

2022 · Lerina Aversano, Mario Bernardi, et al. · International Conference on Software Technologies (ICSOFT)

Works count: 26

Citation count: 127

H-index: 8

I10-index: 6