1.2k citations
- University of Chinese Academy of SciencesCN14 papers
- Institute of High Energy PhysicsCN13 papers
- Harbin Institute of TechnologyCN12 papers
- Sun Yat-sen UniversityCN12 papers
- University of Science and Technology of ChinaCN12 papers
- Beijing Normal UniversityCN11 papers
- Nanjing UniversityCN11 papers
- Peking UniversityCN11 papers
- Tsinghua UniversityCN11 papers
- A. Alikhanyan National LaboratoryAM10 papers
- Centre de physique des particules de MarseilleFR10 papers
- Centre National de la Recherche ScientifiqueFR10 papers
55 papers
Design of a Deep Learning Credit Risk Early Warning System Integrating Multi-source Heterogeneous Data
LiYang Wang, Zhen Zhong, Zhen Tian +1
Advancements in data fusion and real-time analytics technologies have opened new avenues for addressing complex domain challenges. Financial risk early warning systems often suffer…
Masked Generative-Contrastive Representation Learning for Cross-Dataset EEG-Based Emotion Recognition
Huqin Weng, Jiayang Huang, Yimin Wen +3
Self-supervised learning (SSL) shows strong potential for cross-dataset transfer by improving feature representation and generalization. However, its application to EEG-based emoti…
Facial beauty prediction fusing transfer learning and broad learning system
Junying Gan, Xiaoshan Xie, Yikui Zhai +3
Facial beauty prediction (FBP) is an important and challenging problem in the fields of computer vision and machine learning. Not only it is easily prone to overfitting due to the…
BiPC: Bidirectional Probability Calibration for Unsupervised Domain Adaption
Wenlve Zhou, Zhiheng Zhou, Junyuan Shang +4
Unsupervised Domain Adaptation (UDA) leverages a labeled source domain to solve tasks in an unlabeled target domain. While Transformer-based methods have shown promise in UDA, thei…
Weakly Contrastive Learning via Batch Instance Discrimination and Feature Clustering for Small Sample SAR ATR
Yikui Zhai, Wenlve Zhou, Bing Sun +8
In recent years, impressive performance of deep learning technology has been recognized in Synthetic Aperture Radar (SAR) Automatic Target Recognition (ATR). Since a large amount o…
Survival modeling using deep learning, machine learning and statistical methods: A comparative analysis for predicting mortality after hospital admission
Ziwen Wang, Jin Wee Lee, Tanujit Chakraborty +5
Survival analysis is essential for studying time-to-event outcomes and providing a dynamic understanding of the probability of an event occurring over time. Various survival analys…