Dynamic Filters in Graph Convolutional Neural Networks. - Andrea Apicella 001; Francesco Isgrò; Andrea Pollastro; Roberto Prevete (CoRR, 2021)

Toward the Application of XAI Methods in EEG-based Systems. - Andrea Apicella 001; Francesco Isgrò; Andrea Pollastro; Roberto Prevete (XAI.it@AI*IA, 2022)

EEG-based system for Executive Function fatigue detection. - Andrea Apicella 001; Pasquale Arpaia; Paolo De Blasiis; Anna Della Calce; Allegra Fullin; Ludovica Gargiulo; Luigi Maffei; Francesca Mancino; Nicola Moccaldi; Andrea Pollastro; Ersilia Vallefuoco (MetroXRAINE, 2022)

Reproducible Assessment of Valence and Arousal Based on an EEG Wearable Device. - Andrea Apicella 001; Pasquale Arpaia; Andrea Cataldo; Giovanni D'Errico; Davide Marocco; Giovanna Mastrati; Nicola Moccaldi; Andrea Pollastro; Bernadette Ricciardi; Ersilia Vallefuoco (MetroXRAINE, 2022)

On The Effects Of Data Normalisation For Domain Adaptation On EEG Data. - Andrea Apicella 001; Francesco Isgrò; Andrea Pollastro; Roberto Prevete (CoRR, 2022)

An XAI-Based Masking Approach to Improve Classification Systems. - Andrea Apicella 001; Salvatore Giugliano; Francesco Isgrò; Andrea Pollastro; Roberto Prevete (BEWARE@AI*IA, 2023)

Dynamic Local Filters in Graph Convolutional Neural Networks. - Andrea Apicella 001; Francesco Isgrò; Andrea Pollastro; Roberto Prevete (ICIAP (2), 2023)

Sinc-EEGNet for Improving Performance While Reducing Calibration of a Motor Imagery-Based BCI. - Pasquale Arpaia; Elisa Bertone; Antonio Esposito 002; Angela Natalizio; Marco Parvis; Alessandra Laura Giulia Pedrocchi; Andrea Pollastro (MetroXRAINE, 2023)

Strategies to Exploit XAI to Improve Classification Systems. - Andrea Apicella 001; Luca Di Lorenzo; Francesco Isgrò; Andrea Pollastro; Roberto Prevete (xAI (1), 2023)

Semi-Supervised Detection of Structural Damage Using Variational Autoencoder and a One-Class Support Vector Machine. - Andrea Pollastro; Giusiana Testa; Antonio Bilotta; Roberto Prevete (IEEE Access, 2023)

On the effects of data normalization for domain adaptation on EEG data. - Andrea Apicella 001; Francesco Isgrò; Andrea Pollastro; Roberto Prevete (Eng. Appl. Artif. Intell., 2023)

Adaptive filters in Graph Convolutional Neural Networks. - Andrea Apicella 001; Francesco Isgrò; Andrea Pollastro; Roberto Prevete (Pattern Recognit., 2023)

SincVAE: a New Approach to Improve Anomaly Detection on EEG Data Using SincNet and Variational Autoencoder. - Andrea Pollastro; Francesco Isgrò; Roberto Prevete (CoRR, 2024)

PhysBERT: A Text Embedding Model for Physics Scientific Literature. - Thorsten Hellert; João Montenegro; Andrea Pollastro (CoRR, 2024)