Machine Learning of Multi-channel Electroencephalographic Data. - Aurora Saibene (DC@AI*IA, 2018)

EEG Data of Face Recognition in Case of Biological Compatible Changes: A Pilot Study on Healthy People. - Aurora Saibene; Silvia Corchs; Roberta Daini; Alessio Facchin; Francesca Gasparini (ICETE (1), 2018)

Cognitive and Physiological Response for Health Monitoring in an Ageing Population: A Multi-modal System. - Aurora Saibene; Francesca Gasparini (INSCI, 2019)

Addressing Digital Divide and Elderly Acceptance of Medical Expert Systems for Healthy Ageing. - Aurora Saibene; Michela Assale; Marta Giltri (AIxAS@AI*IA, 2020)

Misogynous MEME Recognition: A Preliminary Study. - Elisabetta Fersini; Giulia Rizzi; Aurora Saibene; Francesca Gasparini (AI*IA, 2021)

Novel EEG-based BCIs for Elderly Rehabilitation Enhancement. - Aurora Saibene; Francesca Gasparini; Jordi Solé-Casals (AIxAS@AI*IA, 2021)

EEG-Based BCIs for Elderly Rehabilitation Enhancement Exploiting Artificial Data. - Aurora Saibene; Francesca Gasparini; Jordi Solé-Casals (AI*IA, 2021)

GA for feature selection of EEG heterogeneous data. - Aurora Saibene; Francesca Gasparini (CoRR, 2021)

Benchmark dataset of memes with text transcriptions for automatic detection of multi-modal misogynistic content. - Francesca Gasparini; Giulia Rizzi; Aurora Saibene; Elisabetta Fersini (CoRR, 2021)

Expert systems: Definitions, advantages and issues in medical field applications. - Aurora Saibene; Michela Assale; Marta Giltri (Expert Syst. Appl., 2021)

Human emotion recognition from EEG signals: model evaluation in DEAP and SEED datasets. - Francesca Gasparini; Elisa Cazzaniga; Aurora Saibene (AIxHMI@AI*IA, 2022)

The evolution of AI approaches for motor imagery EEG-based BCIs. - Aurora Saibene; Silvia Corchs; Mirko Caglioni; Francesca Gasparini (AIxHMI@AI*IA, 2022)

SemEval-2022 Task 5: Multimedia Automatic Misogyny Identification. - Elisabetta Fersini; Francesca Gasparini; Giulia Rizzi; Aurora Saibene; Berta Chulvi; Paolo Rosso; Alyssa Lees; Jeffrey Sorensen (SemEval@NAACL, 2022)

Inner speech recognition through electroencephalographic signals. - Francesca Gasparini; Elisa Cazzaniga; Aurora Saibene (CoRR, 2022)

A multi-artifact EEG denoising by frequency-based deep learning. - Matteo Gabardi; Aurora Saibene; Francesca Gasparini; Daniele Rizzo; Fabio Antonio Stella (AIxHMI@AI*IA, 2023)

An experimental protocol to access immersiveness in video games. - Marika Malaspina; Jessica Amianto Barbato; Marco Cremaschi; Francesca Gasparini; Alessandra Grossi; Aurora Saibene (AIxHMI@AI*IA, 2023)

EEG-Based BCIs on Motor Imagery Paradigm Using Wearable Technologies: A Systematic Review. - Aurora Saibene; Mirko Caglioni; Silvia Corchs; Francesca Gasparini (Sensors, 2023)

Genetic algorithm for feature selection of EEG heterogeneous data. - Aurora Saibene; Francesca Gasparini (Expert Syst. Appl., 2023)

Recognizing misogynous memes: Biased models and tricky archetypes. - Giulia Rizzi; Francesca Gasparini; Aurora Saibene; Paolo Rosso; Elisabetta Fersini (Inf. Process. Manag., 2023)

A multi-source deep learning model for music emotion recognition. - Sofia Cazzaniga; Francesca Gasparini; Aurora Saibene (AIxHMI@AI*IA, 2024)

A Concept Design for a Positive Mood Supporting Application. - Aurora Saibene; Riccardo Giussani; Claudia Rabaioli; Nicolò Dozio; Francesca Gasparini; Francesco Ferrise (CBMI, 2024)

DL-based multi-artifact EEG denoising exploiting spectral information. - Matteo Gabardi; Aurora Saibene; Francesca Gasparini; Daniele Rizzo; Fabio Stella (Intelligenza Artificiale, 2024)

Deep learning in motor imagery EEG signal decoding: A Systematic Review. - Aurora Saibene; Hafez Ghaemi; Eda Dagdevir (Neurocomputing, 2024)