Работы, цитирующие эту работу

Работ: 8

Работа: Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning

1. A framework utilizing deep learning techniques for the detection and classification of breast cancerous cells in mammographic images

   Shavkat Fazilov, Khabiba Abdieva, O.R. Yusupov +2

   СтатьяAI in cancer detectionAIP conference proceedings2024Цитирований: 13

   ABIABI:AkademIndex/openalex/2024.article.000437

2. Selecting suitable deep learning network for face recognition

   Islomov Shahboz Zokir ugli, Mardiyev Ulugbek Rasulovich, Davronova Lola Uktamovna +1

   СтатьяFace recognition and analysis2019 International Conference on Information Science and Communications Technologies (ICISCT)2019Цитирований: 2

   ABIABI:AkademIndex/openalex/2019.article.000564

3. A transfer learning-based fine-tuned ResNet-50 model for scene classification

   O.R. Yusupov, Yigitali Khandamov, Erali Eshonqulov +2

   СтатьяAdvanced Neural Network ApplicationsAIP conference proceedings2025Цитирований: 1

   ABIABI:AkademIndex/openalex/2026.other.342030

4. Emotion Recognition Using Cloud Model

   Shuliang Wang, Hehua Chi, Ziqiang Yuan +1

   СтатьяAdvanced Decision-Making TechniquesChinese Journal of Electronics2019Цитирований: 0

   ABIABI:AkademIndex/openalex/2019.article.000220

5. BioMetricNet: Deep Unconstrained Face Verification Through Learning of Metrics Regularized onto Gaussian Distributions

   Arslan Ali, Matteo Testa, Tiziano Bianchi +1

   ПрепринтFace recognition and analysisLecture notes in computer science2020Цитирований: 0

   ABIABI:AkademIndex/openalex/2020.preprint.000013

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

   ПрепринтEEG and Brain-Computer InterfacesarXiv (Cornell University)2022Цитирований: 0

   ABIABI:AkademIndex/openalex/2022.preprint.000027

7. 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

8. Automatic smart brain tumor classification and prediction system using deep learning

   Qurat Ul Ain Ishfaq, Rozi Bibi, Abid Ali +5

   СтатьяBrain Tumor Detection and ClassificationScientific Reports2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.000053