Работы, цитирующие эту работу

Работ: 3

Работа: Maximum Classifier Discrepancy for Unsupervised Domain Adaptation

1. Joint Supervised and Self-Supervised Learning for 3D Real World Challenges

   Antonio Alliegro, Davide Boscaini, Tatiana Tommasi

   Препринт3D Shape Modeling and Analysis2021Цитирований: 0

   ABIABI:AkademIndex/openalex/2021.preprint.000005

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)2022Цитирований: 0

   ABIABI:AkademIndex/openalex/2022.preprint.000027

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

   СтатьяEmotion and Mood RecognitionNeurocomputing2024Цитирований: 0

   ABIABI:AkademIndex/openalex/2024.article.000079