4 papers
RatioWaveNet: A Learnable RDWT Front-End for Robust and Interpretable EEG Motor-Imagery Classification
Marco Siino, Giuseppe Bonomo, Rosario Sorbello +1
Brain-computer interfaces (BCIs) based on motor imagery (MI) translate covert movement intentions into actionable commands, yet reliable decoding from non-invasive EEG remains chal…
Investigating the Impact of Rational Dilated Wavelet Transform on Motor Imagery EEG Decoding with Deep Learning Models
Marco Siino, Giuseppe Bonomo, Rosario Sorbello +1
The present study investigates the impact of the Rational Discrete Wavelet Transform (RDWT), used as a plug-in preprocessing step for motor imagery electroencephalographic (EEG) de…
The Text Classification Pipeline: Starting Shallow going Deeper
Marco Siino, Ilenia Tinnirello, Marco La Cascia
Text classification stands as a cornerstone within the realm of Natural Language Processing (NLP), particularly when viewed through computer science and engineering. The past decad…
User Identity Linkage on Social Networks: A Review of Modern Techniques and Applications
Caterina Senette, Marco Siino, Maurizio Tesconi
In an Online Social Network (OSN), users can create a unique public persona by crafting a user identity that may encompass profile details, content, and network-related information…