LO GIUDICE, MICHELE
LO GIUDICE, MICHELE
Dipartimento di Ingegneria civile, informatica e delle tecnologie aeronautiche
1D Convolutional Neural Network approach to classify voluntary eye blinks in EEG signals for BCI applications
2020-01-01 Lo Giudice, M.; Varone, G.; Ieracitano, C.; Mammone, N.; Bruna, A. R.; Tomaselli, V.; Morabito, F. C.
A Convolutional Neural Network Approach for the Classification of Subjects with Epileptic Seizures Versus Psychogenic Non-epileptic Seizures and Control, Based on Automatic Feature Extraction from Empirical Mode Decomposition of Interictal EEG Recordings
2023-01-01 Lo Giudice, M.; Mammone, N.; Ieracitano, C.; Aguglia, U.; Mandic, D.; Morabito, F. C.
A Machine Learning Approach Involving Functional Connectivity Features to Classify Rest-EEG Psychogenic Non-Epileptic Seizures from Healthy Controls
2022-01-01 Varone, Giuseppe; Boulila, Wadii; Lo Giudice, Michele; Benjdira, Bilel; Mammone, Nadia; Ieracitano, Cosimo; Dashtipour, Kia; Neri, Sabrina; Gasparini, Sara; Morabito, Francesco Carlo; Hussain, Amir; Aguglia, Umberto
A SIMPLE, LOW-COST, SMARTPHONE-BASED GAIT ANALYSIS. PRELIMINARY RESULTS IN HEALTHY SUBJECTS
2020-01-01 Lo Giudice, M.; Varone, G.; Ascoli, M.; Gasparini, S.; Cianci, V.; Mastroianni, G.; Dattola, V.; Garcea, T.; Neri, S.; Lobianco, C.; Ieracitano, C.; Morabito, F. C.; Ferlazzo, E.; Aguglia, U.
Convolutional Neural Network Classification of Rest EEG Signals among People with Epilepsy, Psychogenic Non Epileptic Seizures and Control Subjects
2022-01-01 Lo Giudice, M.; Ferlazzo, E.; Mammone, N.; Gasparini, S.; Cianci, V.; Pascarella, A.; Mammi, A.; Mandic, D.; Morabito, F. C.; Aguglia, U.
Epilepsy in Cerebrovascular Diseases: A Narrative Review
2023-01-01 Neri, Sabrina; Gasparini, Sara; Pascarella, Angelo; Santangelo, Domenico; Cianci, Vittoria; Mammì, Anna; Lo Giudice, Michele; Ferlazzo, Edoardo; Aguglia, Umberto
Explainable Deep Learning Classification of Respiratory Sound for Telemedicine Applications
2022-01-01 Lo Giudice, M.; Mammone, N.; Ieracitano, C.; Aguglia, U.; Mandic, D.; Morabito, F. C.
Permutation Entropy-Based Interpretability of Convolutional Neural Network Models for Interictal EEG Discrimination of Subjects with Epileptic Seizures vs. Psychogenic Non-Epileptic Seizures
2022-01-01 Lo Giudice, M.; Varone, G.; Ieracitano, C.; Mammone, N.; Tripodi, G. G.; Ferlazzo, E.; Gasparini, S.; Aguglia, U.; Morabito, F. C.
The Next Generation of eHealth: A Multidisciplinary Survey
2022-01-01 Suraci, C.; De Angelis, V.; Lofaro, G.; Lo Giudice, M.; Marrara, G.; Rinaldi, F.; Russo, A.; Bevacqua, M. T.; Lax, G.; Mammone, N.; Laboccetta, A. M.; Morabito, F. C.; Araniti, G.
Visual Explanations of Deep Convolutional Neural Network for eye blinks detection in EEG-based BCI applications
2022-01-01 Lo Giudice, M.; Mammone, N.; Ieracitano, C.; Campolo, M.; Bruna, A. R.; Tomaselli, V.; Morabito, F. C.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| 1D Convolutional Neural Network approach to classify voluntary eye blinks in EEG signals for BCI applications | 1-gen-2020 | Lo Giudice, M.; Varone, G.; Ieracitano, C.; Mammone, N.; Bruna, A. R.; Tomaselli, V.; Morabito, F. C. | |
| A Convolutional Neural Network Approach for the Classification of Subjects with Epileptic Seizures Versus Psychogenic Non-epileptic Seizures and Control, Based on Automatic Feature Extraction from Empirical Mode Decomposition of Interictal EEG Recordings | 1-gen-2023 | Lo Giudice, M.; Mammone, N.; Ieracitano, C.; Aguglia, U.; Mandic, D.; Morabito, F. C. | |
| A Machine Learning Approach Involving Functional Connectivity Features to Classify Rest-EEG Psychogenic Non-Epileptic Seizures from Healthy Controls | 1-gen-2022 | Varone, Giuseppe; Boulila, Wadii; Lo Giudice, Michele; Benjdira, Bilel; Mammone, Nadia; Ieracitano, Cosimo; Dashtipour, Kia; Neri, Sabrina; Gasparini, Sara; Morabito, Francesco Carlo; Hussain, Amir; Aguglia, Umberto | |
| A SIMPLE, LOW-COST, SMARTPHONE-BASED GAIT ANALYSIS. PRELIMINARY RESULTS IN HEALTHY SUBJECTS | 1-gen-2020 | Lo Giudice, M.; Varone, G.; Ascoli, M.; Gasparini, S.; Cianci, V.; Mastroianni, G.; Dattola, V.; Garcea, T.; Neri, S.; Lobianco, C.; Ieracitano, C.; Morabito, F. C.; Ferlazzo, E.; Aguglia, U. | |
| Convolutional Neural Network Classification of Rest EEG Signals among People with Epilepsy, Psychogenic Non Epileptic Seizures and Control Subjects | 1-gen-2022 | Lo Giudice, M.; Ferlazzo, E.; Mammone, N.; Gasparini, S.; Cianci, V.; Pascarella, A.; Mammi, A.; Mandic, D.; Morabito, F. C.; Aguglia, U. | |
| Epilepsy in Cerebrovascular Diseases: A Narrative Review | 1-gen-2023 | Neri, Sabrina; Gasparini, Sara; Pascarella, Angelo; Santangelo, Domenico; Cianci, Vittoria; Mammì, Anna; Lo Giudice, Michele; Ferlazzo, Edoardo; Aguglia, Umberto | |
| Explainable Deep Learning Classification of Respiratory Sound for Telemedicine Applications | 1-gen-2022 | Lo Giudice, M.; Mammone, N.; Ieracitano, C.; Aguglia, U.; Mandic, D.; Morabito, F. C. | |
| Permutation Entropy-Based Interpretability of Convolutional Neural Network Models for Interictal EEG Discrimination of Subjects with Epileptic Seizures vs. Psychogenic Non-Epileptic Seizures | 1-gen-2022 | Lo Giudice, M.; Varone, G.; Ieracitano, C.; Mammone, N.; Tripodi, G. G.; Ferlazzo, E.; Gasparini, S.; Aguglia, U.; Morabito, F. C. | |
| The Next Generation of eHealth: A Multidisciplinary Survey | 1-gen-2022 | Suraci, C.; De Angelis, V.; Lofaro, G.; Lo Giudice, M.; Marrara, G.; Rinaldi, F.; Russo, A.; Bevacqua, M. T.; Lax, G.; Mammone, N.; Laboccetta, A. M.; Morabito, F. C.; Araniti, G. | |
| Visual Explanations of Deep Convolutional Neural Network for eye blinks detection in EEG-based BCI applications | 1-gen-2022 | Lo Giudice, M.; Mammone, N.; Ieracitano, C.; Campolo, M.; Bruna, A. R.; Tomaselli, V.; Morabito, F. C. |