Marisa Pesola

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 8

Top Topics

Neural Dynamics

Diabetes Mellitus

Top Venues

IEEE J. Biomed. Health Informatics

Publications

Giovanni Annuzzi, Andrea Apicella, Pasquale Arpaia, Lutgarda Bozzetto, Sabatina Criscuolo, Egidio De Benedetto, Marisa Pesola, Roberto Prevete
Exploring Nutritional Influence on Blood Glucose Forecasting for Type 1 Diabetes Using Explainable AI. IEEE J. Biomed. Health Informatics 28 (5) (2024)
Sabatina Criscuolo, Andrea Cataldo, Egidio De Benedetto, Antonio Masciullo, Marisa Pesola, Raissa Schiavoni
Entropy and Coherence Features in EEG-Based Classification for Alzheimer's Disease Detection. I2MTC (2024)
Andrea Cataldo, Sabatina Criscuolo, Egidio De Benedetto, Antonio Masciullo, Marisa Pesola, Raissa Schiavoni
Entropy-Based EEG Measures for Revealing Altered Neural Dynamics in Alzheimer's Disease: A Preliminary Study. MetroXRAINE (2023)
Pasquale Arpaia, Damien Coyle, Antonio Esposito, Angela Natalizio, Marco Parvis, Marisa Pesola, Ersilia Vallefuoco
Paving the Way for Motor Imagery-Based Tele-Rehabilitation through a Fully Wearable BCI System. Sensors 23 (13) (2023)
Giovanni Annuzzi, Pasquale Arpaia, Lutgarda Bozzetto, Sabatina Criscuolo, Salvatore Giugliano, Marisa Pesola
Assessing the Features on Blood Glucose Level Prediction in Type 1 Diabetes Patients Through Explainable Artificial Intelligence. MetroXRAINE (2023)
Giovanni Annuzzi, Andrea Apicella, Pasquale Arpaia, Lutgarda Bozzetto, Sabatina Criscuolo, Egidio De Benedetto, Marisa Pesola, Roberto Prevete, Ersilia Vallefuoco
Impact of Nutritional Factors in Blood Glucose Prediction in Type 1 Diabetes Through Machine Learning. IEEE Access 11 (2023)
Pasquale Arpaia, Damien Coyle, Francesco Donnarumma, Antonio Esposito, Angela Natalizio, Marco Parvis, Marisa Pesola, Ersilia Vallefuoco
Multimodal Feedback in Assisting a Wearable Brain-Computer Interface Based on Motor Imagery. MetroXRAINE (2022)
Pasquale Arpaia, Egidio De Bendetto, Antonio Esposito, Angela Natalizio, Marco Parvis, Marisa Pesola
Comparing Artifact Removal Techniques for Daily-Life Electroencephalography with Few Channels. MeMeA (2022)