„Multimedia Learning“

Suchergebnisse

4.180 Treffer

• Principal sample based incremental deep learning for multilingual handwriting recognition
  M, Sivasankari ; M, Venkatesh ; M, Selvalakshmi ; A, Jenitta Jebamalar ; T, Kanagabala ; R, Rashia Subashree ; V, Naga Suresh Kannan
• Context-aware learning and background activation suppression for weakly supervised semantic segmentation
  Mi, Aizhong ; Huang, Xianru ; Huo, Zhanqiang ; Liu, Luyao
• SSRH: screen-shooting robust hyperlink based on deep learning
  Gao, Guangyong ; Chen, Xiaoan ; Li, Li
• Personalized federated learning via decoupling self-knowledge distillation and global adaptive aggregation
  Tang, ZhiWei ; Xu, ShuWei ; Jin, HaoZhe ; Liu, ShiChong ; Zhai, Rui ; Lu, Ke
• CCGN: consistency contrastive-learning graph network for multi-modal fake news detection
  Cui, ShaoDong ; Duan, Kaibo ; Ma, Wen ; Shinnou, Hiroyuki
• Uncertainty-guided recurrent prototype distillation for graph few-shot class-incremental learning
  Zhu, Ning ; Wang, Shaofan ; Sun, Yanfeng ; Yin, Baocai
• Classification of mandibular fractures from panoramic radiographs using deep learning
  Mittal, Uttam ; Khandnor, Padmavati ; Jaiswal, Manoj ; Kaur, Katinder ; Rana, Priyanka ; Mangat, Shiraz ; Singh, Harasees ; Sharma, Prakhar ; Singh, Balkaran
• A novel intelligent healthcare system based on efficient deep learning models for brain stroke prediction
  Mohsen, Saeed ; Gomaa, Ahmed
• Meta-learning with orthogonal softmax layer (MLOSL) for small sample hyperspectral image classification
  Amoako, Prince Yaw Owusu ; Cao, Guo ; Shi, Hao ; Arthur, John Kingsley ; Agyenim, Yaw Oti Boateng
• Comprehensive insights into healthcare IoT: the role of machine learning and deep learning approaches
  Kumar, Atul ; Dewang, Rupesh Kumar
• 3D AGRes-UNet: an advanced deep learning model for brain tumor segmentation from multimodal MRI
  Echine, Khaoula ; Darouichi, Aziz
• An improved deep learning-based optimal object detection system from images
  Yadav, Satya Prakash ; Jindal, Muskan ; Rani, Preeti ; Albuquerque, Victor Hugo C. ˜deœ ; Santos Nascimento, Caio dos ; Kumar, Manoj
• A novel solution of enhanced loss function using deep learning in sleep stage classification: predict and diagnose patients with sleep disorders
  Rajbhandari, Ereena ; Alsadoon, Abeer ; Chandana Prasad, P. W. ; Seher, Indra ; Nguyen, Tran Quoc Vinh ; Pham, Duong Thu Hang
• Breast cancer classification using snapshot ensemble deep learning model and t-distributed stochastic neighbor embedding
  Sharma, Nonita ; Sharma, K. P. ; Mangla, Monika ; Rani, Rajneesh
• Deep learning for sleep stages classification: modified rectified linear unit activation function and modified orthogonal weight initialisation
  Bhusal, Akriti ; Alsadoon, Abeer ; Chandana Prasad, P. W. ; Alsalami, Nada ; Rashid, Tarik A.
• Supervised machine learning for early predicting the sepsis patient: modified mean imputation and modified chi-square feature selection
  Shrestha, Ujjwol ; Alsadoon, Abeer ; Chandana Prasad, P. W. ; Aloussi, Sarmad Al ; Alsadoon, Omar Hisham
• Semi-supervised federated learning fault diagnosis method driven by teacher-student model consistency
  Wang, Guilong ; Pu, Chenjie ; Fu, Dongliang ; Zhang, Yi ; Yu, Jiongmin ; Hou, Yanru
• Melody generation based on deep ensemble learning using varying temporal context length
  Nag, Baibhav ; Middya, Asif Iqbal ; Roy, Sarbani
• A novel solution of deep learning for endoscopic ultrasound image segmentation: enhanced computer aided diagnosis of gastrointestinal stromal tumor
  Tuladhar, Sanira ; Alsadoon, Abeer ; Chandana Prasad, P. W. ; Ali, Akbas Ezaldeen ; Alrubaie, Ahmad
• Video scene analysis: an overview and challenges on deep learning algorithms
  Abbas, Qaisar ; Ibrahim, Mostafa E. A. ; Jaffar, M. Arfan