| Assessment and scientific progresses in the analysis of olfactory evoked potentials P Arpaia, A Cataldo, S Criscuolo, E De Benedetto, A Masciullo, ... Bioengineering 9 (6), 252, 2022 | 17 | 2022 |
| Impact of nutritional factors in blood glucose prediction in type 1 diabetes through machine learning G Annuzzi, A Apicella, P Arpaia, L Bozzetto, S Criscuolo, E De Benedetto, ... IEEE Access 11, 17104-17115, 2023 | 16 | 2023 |
| A wearable AR-based BCI for robot control in ADHD treatment: Preliminary evaluation of adherence to therapy P Arpaia, S Criscuolo, E De Benedetto, N Donato, L Duraccio 2021 15th International Conference on Advanced Technologies, Systems and …, 2021 | 16 | 2021 |
| A method for optimizing the artifact subspace reconstruction performance in low-density EEG A Cataldo, S Criscuolo, E De Benedetto, A Masciullo, M Pesola, ... IEEE Sensors Journal 22 (21), 21257-21265, 2022 | 14 | 2022 |
| Uncovering the correlation between COVID-19 and neurodegenerative processes: Toward a new approach based on EEG entropic analysis A Cataldo, S Criscuolo, E De Benedetto, A Masciullo, M Pesola, ... Bioengineering 10 (4), 435, 2023 | 6 | 2023 |
| EEG complexity-based algorithm using Multiscale Fuzzy Entropy: Towards a detection of Alzheimer’s disease A Cataldo, S Criscuolo, E De Benedetto, A Masciullo, M Pesola, J Picone, ... Measurement 225, 114040, 2024 | 5 | 2024 |
| Predicting and monitoring blood glucose through nutritional factors in type 1 diabetes by artificial neural networks G Annuzzi, L Bozzetto, A Cataldo, S Criscuolo, M Pesola Acta IMEKO 12 (2), 1-7, 2023 | 5 | 2023 |
| Exploring nutritional influence on blood glucose forecasting for Type 1 diabetes using explainable AI G Annuzzi, A Apicella, P Arpaia, L Bozzetto, S Criscuolo, E De Benedetto, ... IEEE journal of biomedical and health informatics, 2023 | 3 | 2023 |
| Evaluation of the Effectiveness of a Wearable, AR-based BCI for Robot Control in ADHD Treatment P Arpaia, S Criscuolo, E De Benedetto, N Donato, L Duraccio 2022 IEEE International Conference on Metrology for Extended Reality …, 2022 | 3 | 2022 |
| Entropy-Based EEG Measures for Revealing Altered Neural Dynamics in Alzheimer's Disease: A Preliminary Study A Cataldo, S Criscuolo, E De Benedetto, A Masciullo, M Pesola, ... 2023 IEEE International Conference on Metrology for eXtended Reality …, 2023 | 2 | 2023 |
| A Novel Metric for Alzheimer’s Disease Detection Based on Brain Complexity Analysis via Multiscale Fuzzy Entropy A Cataldo, S Criscuolo, E De Benedetto, A Masciullo, M Pesola, ... Bioengineering 11 (4), 324, 2024 | 1 | 2024 |
| Interpreting the latent space of a Convolutional Variational Autoencoder for semi-automated eye blink artefact detection in EEG signals S Criscuolo, A Apicella, R Prevete, L Longo Computer Standards & Interfaces, 103897, 2024 | | 2024 |
| Entropy and Coherence Features in EEG-Based Classification for Alzheimer's Disease Detection S Criscuolo, A Cataldo, E De Benedetto, A Masciullo, M Pesola, ... 2024 IEEE International Instrumentation and Measurement Technology …, 2024 | | 2024 |
| Assessing the Features on Blood Glucose Level Prediction in Type 1 Diabetes Patients Through Explainable Artificial Intelligence G Annuzzi, P Arpaia, L Bozzetto, S Criscuolo, S Giugliano, M Pesola 2023 IEEE International Conference on Metrology for eXtended Reality …, 2023 | | 2023 |
| Interpreting the Latent Space of a Convolutional Variational Autoencoder for Fully Automated Eye Blink Artefact Detection in Eeg Signals S Criscuolo, R Prevete, A Apicella, L Longo Available at SSRN 4761327, 0 | | |
pasquale arpaiaprofessore ordinario di misure, Università di Napoli Federico II, e associato CERN在 unina.it 的电子邮件经过验证
