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Pasquale Arpaïa

8 works

Technology Department, CERN – European Organization for Nuclear Research, 1211 Meyrin, Switzerland

  1. Hysteresis Modeling in Iron-Dominated Magnets Based on a Multi-Layered NARX Neural Network Approach

    Maria Amodeo, Pasquale Arpaïa, Marco Buzio +2

    ArticleMagnetic Properties and ApplicationsInternational Journal of Neural Systems20210 citations
    ABI

  2. Reproducible Assessment of Valence and Arousal Based on an EEG Wearable Device

    Andrea Apicella, Pasquale Arpaïa, Andrea Cataldo +7

    ArticleEEG and Brain-Computer Interfaces2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)20220 citations
    ABI

  3. Toward cross-subject and cross-session generalization in EEG-based emotion recognition: Systematic review, taxonomy, and methods

    Andrea Apicella, Pasquale Arpaïa, Giovanni D’Errico +4

    PreprintEEG and Brain-Computer InterfacesarXiv (Cornell University)20220 citations
    ABI

  4. EEG and HRV-Based Assessment of Neurosurgeons Training for Anxiety Regulation and Stress Monitoring

    Pasquale Arpaïa, Giovanni Carone, Nicolò Castelli +11

    ArticleEEG and Brain-Computer Interfaces20230 citations
    ABI

  5. Machine Learning Strategies to Improve Cross-Subject and Cross-Session Generalization in EEG-Based Emotion Recognition: A Systematic Review

    Pasquale Arpaïa, Andrea Apicella, Giovanni D’Errico +4

    Review articleEmotion and Mood RecognitionSSRN Electronic Journal20230 citations
    ABI

  6. Toward cross-subject and cross-session generalization in EEG-based emotion recognition: Systematic review, taxonomy, and methods

    Andrea Apicella, Pasquale Arpaïa, Giovanni D’Errico +4

    ArticleEmotion and Mood RecognitionNeurocomputing20240 citations
    ABI

  7. A wearable brain-computer interface to play an endless runner game by self-paced motor imagery

    Pasquale Arpaïa, Antonio Espósito, Enza Galasso +2

    ArticleEEG and Brain-Computer InterfacesJournal of Neural Engineering20250 citations
    ABI

  8. State of the art in EEG signal features of mindfulness-based treatments for chronic pain

    D. Duran, Pasquale Arpaïa, Giovanni D’Errico +6

    Review articleMindfulness and Compassion InterventionsNeurological Sciences20250 citations
    ABI