Sabatina Criscuolo

Orcid: 0000-0001-7189-1339

According to our database1, Sabatina Criscuolo authored at least 17 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
A Novel Entropy Metric for Unified Analysis of Temporal, Spatial, and Spectral EEG Properties.
IEEE Trans. Biomed. Eng., April, 2026

Representing jobs and job seekers in AI-based recommender systems: A literature review.
Eng. Appl. Artif. Intell., 2026

AI-Based Blood Perfusion Assessment in Digestive Surgery Using Indocyanine Green Time-Fluorescence Curves.
IEEE Access, 2026

2025
Interpreting the latent space of a Convolutional Variational Autoencoder for semi-automated eye blink artefact detection in EEG signals.
Comput. Stand. Interfaces, 2025

Towards Machine Learning-Based Ontology Mapping to Bridge O*NET and ESCO Skills.
Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2025

EEG Complexity Measures and Their Applications in Alzheimer's Disease Detection.
Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2025

A Preliminary Study on Band-Specific Multivariate Multiscale Fuzzy Entropy of EEG in Mild Cognitive Impairment.
Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2025

Multivariate Glucose Prediction with BiLSTM and Explainable AI in an Inter-Subject Framework.
Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2025

2024
Exploring Nutritional Influence on Blood Glucose Forecasting for Type 1 Diabetes Using Explainable AI.
IEEE J. Biomed. Health Informatics, May, 2024

Exploring the Latent Space of Person-Specific Convolutional Autoencoders for Eye-Blink Artefact Mitigation in EEG Signals.
Proceedings of the 8th IEEE Forum on Research and Technologies for Society and Industry Innovation, 2024

Explainable AI Assessment of Meal-Related Features Impact in Predicting Basal Insulin for Type I Diabetes.
Proceedings of the 8th IEEE Forum on Research and Technologies for Society and Industry Innovation, 2024

Comparison of EEG Preprocessing Techniques for Complexity Measures in Alzheimer's Disease Detection.
Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2024

Entropy and Coherence Features in EEG-Based Classification for Alzheimer's Disease Detection.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2024

2023
Impact of Nutritional Factors in Blood Glucose Prediction in Type 1 Diabetes Through Machine Learning.
IEEE Access, 2023

Entropy-Based EEG Measures for Revealing Altered Neural Dynamics in Alzheimer's Disease: A Preliminary Study.
Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023

Assessing the Features on Blood Glucose Level Prediction in Type 1 Diabetes Patients Through Explainable Artificial Intelligence.
Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023

2022
Evaluation of the Effectiveness of a Wearable, AR-based BCI for Robot Control in ADHD Treatment.
Proceedings of the IEEE International Conference on Metrology for Extended Reality, 2022


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