Работы, цитирующие эту работу

Работ: 2

Работа: Progressive low-rank subspace alignment based on semi-supervised joint domain adaption for personalized emotion recognition

1. 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)2022Цитирований: 0

   ABIABI:AkademIndex/openalex/2022.preprint.000027

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

   СтатьяEmotion and Mood RecognitionNeurocomputing2024Цитирований: 0

   ABIABI:AkademIndex/openalex/2024.article.000079