Evaluation of the Effectiveness of a Wearable, AR-based BCI for Robot Control in ADHD Treatment. - Pasquale Arpaia; Sabatina Criscuolo; Egidio De Benedetto; Nicola Donato; Luigi Duraccio (MetroXRAINE, 2022)

Assessing the Features on Blood Glucose Level Prediction in Type 1 Diabetes Patients Through Explainable Artificial Intelligence. - Giovanni Annuzzi; Pasquale Arpaia; Lutgarda Bozzetto; Sabatina Criscuolo; Salvatore Giugliano; Marisa Pesola (MetroXRAINE, 2023)

Entropy-Based EEG Measures for Revealing Altered Neural Dynamics in Alzheimer's Disease: A Preliminary Study. - Andrea Cataldo; Sabatina Criscuolo; Egidio De Benedetto; Antonio Masciullo; Marisa Pesola; Raissa Schiavoni (MetroXRAINE, 2023)

Impact of Nutritional Factors in Blood Glucose Prediction in Type 1 Diabetes Through Machine Learning. - Giovanni Annuzzi; Andrea Apicella 001; Pasquale Arpaia; Lutgarda Bozzetto; Sabatina Criscuolo; Egidio De Benedetto; Marisa Pesola; Roberto Prevete; Ersilia Vallefuoco (IEEE Access, 2023)

Entropy and Coherence Features in EEG-Based Classification for Alzheimer's Disease Detection. - Sabatina Criscuolo; Andrea Cataldo; Egidio De Benedetto; Antonio Masciullo; Marisa Pesola; Raissa Schiavoni (I2MTC, 2024)

Comparison of EEG Preprocessing Techniques for Complexity Measures in Alzheimer's Disease Detection. - Pasquale Arpaia; Maria Cacciapuoti; Andrea Cataldo; Sabatina Criscuolo; Egidio De Benedetto; Antonio Masciullo; Marisa Pesola; Raissa Schiavoni (MetroXRAINE, 2024)

Explainable AI Assessment of Meal-Related Features Impact in Predicting Basal Insulin for Type I Diabetes. - Giovanni Annuzzi; Pasquale Arpaia; Lutgarda Bozzetto; Sabatina Criscuolo; Egidio De Benedetto; Marisa Pesola (RTSI, 2024)

Exploring the Latent Space of Person-Specific Convolutional Autoencoders for Eye-Blink Artefact Mitigation in EEG Signals. - Sabatina Criscuolo; Salvatore Giugliano; Andrea Apicella 001; Francesco Donnarumma; Francesco Amato 001; Annarita Tedesco; Luca Longo (RTSI, 2024)

Exploring Nutritional Influence on Blood Glucose Forecasting for Type 1 Diabetes Using Explainable AI. - Giovanni Annuzzi; Andrea Apicella 001; Pasquale Arpaia; Lutgarda Bozzetto; Sabatina Criscuolo; Egidio De Benedetto; Marisa Pesola; Roberto Prevete (IEEE J. Biomed. Health Informatics, 2024)

Interpreting the latent space of a Convolutional Variational Autoencoder for semi-automated eye blink artefact detection in EEG signals. - Sabatina Criscuolo; Andrea Apicella 001; Roberto Prevete; Luca Longo (Comput. Stand. Interfaces, 2025)