10 citations · 17 across the 3 of their papers we have counts for
3 papers
Deep Representation Learning for Open Vocabulary Electroencephalography-to-Text Decoding
Hamza Amrani, Daniela Micucci, Paolo Napoletano
Previous research has demonstrated the potential of using pre-trained language models for decoding open vocabulary Electroencephalography (EEG) signals captured through a non-invas…
Unsupervised Deep Learning-based clustering for Human Activity Recognition
Hamza Amrani, Daniela Micucci, Paolo Napoletano
One of the main problems in applying deep learning techniques to recognize activities of daily living (ADLs) based on inertial sensors is the lack of appropriately large labelled d…
Homogenization of Existing Inertial-Based Datasets to Support Human Activity Recognition
Hamza Amrani, Daniela Micucci, Marco Mobilio +1
Several techniques have been proposed to address the problem of recognizing activities of daily living from signals. Deep learning techniques applied to inertial signals have prove…