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Nicola Moccaldi

6 та иш

University of Salento,Dep. of Engineering for Innovation,Lecce,Italy

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

    Andrea Apicella, Pasquale Arpaïa, Andrea Cataldo +7

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

  2. 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

    ПрепринтEEG and Brain-Computer InterfacesarXiv (Cornell University)20220 иқтибос
    ABI

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

    Pasquale Arpaïa, Giovanni Carone, Nicolò Castelli +11

    МақолаEEG and Brain-Computer Interfaces20230 иқтибос
    ABI

  4. 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

    Шарҳ мақолаEmotion and Mood RecognitionSSRN Electronic Journal20230 иқтибос
    ABI

  5. 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

    МақолаEmotion and Mood RecognitionNeurocomputing20240 иқтибос
    ABI

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

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

    Шарҳ мақолаMindfulness and Compassion InterventionsNeurological Sciences20250 иқтибос
    ABI