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Mostrati risultati da 1 a 17 di 17
Tipologia Anno Titolo Titolo inglese Autore File
Lauree magistrali 2021 Advanced Pipelines For Artifact Removal From EEG Data Advanced Pipelines For Artifact Removal From EEG Data NASIRINEJADDAFCHAHI, MILAD
Lauree magistrali 2021 Assessing deep learning approaches to detect error-related potentials in BCIs Assessing deep learning approaches to detect error-related potentials in BCIs NALOTTO, ANNA
Lauree magistrali 2021 Attention-based EEG classification Attention-based EEG classification SOCCOL, LAURA
Lauree magistrali 2020 Data-driven evaluation of Functional Connectivity changes in EOG/EEG-based BCI data from ALS patients using Convolutional Neural Networks Data-driven evaluation of Functional Connectivity changes in EOG/EEG-based BCI data from ALS patients using Convolutional Neural Networks DI GIORGI, MARCO
Lauree magistrali 2023 Developing deep learning-based solutions for IMU time series with application in Tele-Rehabilitation Developing deep learning-based solutions for IMU time series with application in Tele-Rehabilitation URBANI, TOMMASO
Lauree magistrali 2022 Development of machine learning models for wearable sensors fusion to improve home-based rehabilitation after stroke Development of machine learning models for wearable sensors fusion to improve home-based rehabilitation after stroke MARINELLO, ELENA
Lauree magistrali 2022 Development of machine learning-based regression models to predict inter-individual differences from MEG-based resting-state functional connectivity Development of machine learning-based regression models to predict inter-individual differences from MEG-based resting-state functional connectivity FONGARO, ENRICO
Lauree magistrali 2021 Efficient information distribution in the Internet of Medical Things (IoMT) Efficient information distribution in the Internet of Medical Things (IoMT) SIRIPATHUL DEWAGE, HANSIKA DEMINI SENADEERA
Lauree triennali 2021 Explainable AI per l'analisi di segnali EEG Explainable AI for EEG signals analysis ZORZETTO, ANNA
Lauree triennali 2021 Explainable deep learning solutions for the artifacts correction of EEG signals Explainable deep learning solutions for the artifacts correction of EEG signals DONADEL, FEDERICO
Lauree magistrali 2021 Modelling MEG-based functional connectivity and EMG activity to predict inter-individual differences in motor tasks Modelling MEG-based functional connectivity and EMG activity to predict inter-individual differences in motor tasks FAGOTTO, JESSICA
Lauree magistrali 2020 Modelling MEG-based resting-state functional connectivity to predict inter-individual differences in motor tasks. Modelling MEG-based resting-state functional connectivity to predict inter-individual differences in motor tasks. VETTORUZZO, ANNA
Lauree triennali 2021 Spettroscopia nel vicino infrarosso per lo smart agrifood: revisione critica dei metodi di analisi e prospettive future Near-infrared spectroscopy for smart agrifood: a critical review of methods and future perspectives BERGAMIN, MATTEO
Lauree triennali 2021 Sviluppo di algoritmi di machine learning per BCI Development of machine learning algorithms for BCI NASATO, ELIA
Lauree triennali 2020 Sviluppo ed applicazione di algoritmi di elaborazione del segnale su grafo per dati EEG ed EMG Development and application of graph signal processing algorithms for EEG and EMG data ZANUTTI, DIEGO
Lauree magistrali 2020 Temporal Convolutional Neural Networks for time series: an explainable approach for EEG classification Temporal Convolutional Neural Networks for time series: an explainable approach for EEG classification TREVISAN, SIMONE
Lauree triennali 2020 Valore dell’informazione in ambito Mobile Health Value of information in Mobile Health D'ADDATO, GIULIA
Mostrati risultati da 1 a 17 di 17
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