Personalized Models in Human Activity Recognition using Deep Learning. - Hamza Amrani; Daniela Micucci; Paolo Napoletano (ICPR, 2020)

Unsupervised Deep Learning-based clustering for Human Activity Recognition. - Hamza Amrani; Daniela Micucci; Paolo Napoletano (ICCE-Berlin, 2022)

Homogenization of Existing Inertial-Based Datasets to Support Human Activity Recognition. - Hamza Amrani; Daniela Micucci; Marco Mobilio; Paolo Napoletano (CoRR, 2022)

Emotion Personalization with Machine Learning using EEG Signals and Dry Electrodes. - Hamza Amrani; Daniela Micucci; Marco Nalin; Paolo Napoletano (MetroXRAINE, 2023)

Deep Representation Learning for Open Vocabulary Electroencephalography-to-Text Decoding. - Hamza Amrani; Daniela Micucci; Paolo Napoletano (CoRR, 2023)

EEG Acquisition and Motor Imagery Classification for Robotic Control. - Hamza Amrani; Daniela Micucci; Marco Nalin; Paolo Napoletano; Ilario Rizzi (EMBC, 2024)

Responsive Teleoperation of a Robotic Arm via Wearable Inertial Sensors. - Alessandro Fornaro; Daniela D'Auria; Hamza Amrani; Paolo Napoletano (GEM, 2024)

Leveraging dataset integration and continual learning for human activity recognition. - Hamza Amrani; Daniela Micucci; Marco Mobilio; Paolo Napoletano (Int. J. Mach. Learn. Cybern., 2025)