Marisa Pesola

Orcid: 0000-0002-5671-6433

According to our database1, Marisa Pesola authored at least 11 papers between 2022 and 2024.

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

Timeline

2022
2023
2024
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Links

On csauthors.net:

Bibliography

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

Artifacts Removal from Low-Density EEG Measured with Dry Electrodes.
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
Paving the Way for Motor Imagery-Based Tele-Rehabilitation through a Fully Wearable BCI System.
Sensors, July, 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
Multimodal Feedback in Assisting a Wearable Brain-Computer Interface Based on Motor Imagery.
Proceedings of the IEEE International Conference on Metrology for Extended Reality, 2022

Comparing Artifact Removal Techniques for Daily-Life Electroencephalography with Few Channels.
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2022


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