Работы, цитирующие эту работу

Работ: 6

Работа: A review on the attention mechanism of deep learning

1. ABi-LT: Intelligent Medical Decision Model Clinical Decision Support System

   Uzair Aslam Bhatti, Guo Wenlong, Mughair Aslam Bhatti +4

   СтатьяArtificial Intelligence in Healthcare2025Цитирований: 1

   ABIABI:AkademIndex/openalex/2025.article.001590

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

4. Direct Coupling Analysis and the Attention Mechanism

   F. Caredda, Andrea Pagnani

   ПрепринтNeural dynamics and brain functionResearch Square2024Цитирований: 0

   ABIABI:AkademIndex/openalex/2024.preprint.000220

5. Advanced feature fusion of radiomics and deep learning for accurate detection of wrist fractures on X-ray images

   Mohamed J. Saadh, Qusay Mohammed Hussain, Rafid Jihad Albadr +10

   СтатьяArtificial Intelligence in Healthcare and EducationBMC Musculoskeletal Disorders2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.001072

6. Optimizing meningioma grading with radiomics and deep features integration, attention mechanisms, and reproducibility analysis

   Rafid Jihad Albadr, Dharmesh Sur, Anupam Yadav +11

   СтатьяMeningioma and schwannoma managementEuropean journal of medical research2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.002248