Tensor-CSPNet: A Novel Geometric Deep Learning Framework for Motor Imagery Classification von Ju, Ce, Guan, Cuntai

Volltext

The Overexpression of SLC25A13 Predicts Poor Prognosis and Is Correlated with Immune Cell Infiltration in Patients with Skin Cutaneous Melanoma von lv, Yue, Yuan, Chun-hui, Han, Lu-yao, Huang, Gao-ru, Ju, Ling-ce, Chen, Ling-hui, Han, Hai-ying, Zhang, Chong, Zeng, Ling-hui

Volltext

Graph Neural Networks on SPD Manifolds for Motor Imagery Classification: A Perspective From the Time-Frequency Analysis von Ju, Ce, Guan, Cuntai

Volltext

Rethinking Privacy Preserving Deep Learning: How to Evaluate and Thwart Privacy Attacks von Fan, Lixin, Ng, Kam Woh, Ju, Ce, Zhang, Tianyu, Liu, Chang, Chan, Chee Seng, Yang, Qiang

Volltext

Graph Neural Networks on SPD Manifolds for Motor Imagery Classification: A Perspective from the Time-Frequency Analysis von Ju, Ce, Guan, Cuntai

Volltext

Survey: Geometric Foundations of Data Reduction von Ju, Ce

Volltext bestellen

Tensor-CSPNet: A Novel Geometric Deep Learning Framework for Motor Imagery Classification von Ju, Ce, Guan, Cuntai

Volltext

Stochastic Inverse Reinforcement Learning von Ju, Ce

Volltext bestellen

Deep Optimal Transport for Domain Adaptation on SPD Manifolds von Ju, Ce, Guan, Cuntai

Volltext bestellen

Stochastic Inverse Reinforcement Learning von Ju, Ce

Volltext

Survey: Geometric Foundations of Data Reduction von Ju, Ce

Volltext

Score-Based Data Generation for EEG Spatial Covariance Matrices: Towards Boosting BCI Performance von Ju, Ce, Kobler, Reinmar Josef, Guan, Cuntai

Volltext

Deep Optimal Transport for Domain Adaptation on SPD Manifolds von Ju, Ce, Guan, Cuntai

Volltext

Socially Aware Kalman Neural Networks for Trajectory Prediction von Ju, Ce, Wang, Zheng, Zhang, Xiaoyu

Volltext bestellen

Interaction-aware Kalman Neural Networks for Trajectory Prediction von Ju, Ce, Wang, Zheng, Long, Cheng, Zhang, Xiaoyu, Dong Eui Chang

Volltext

Federated Transfer Learning for EEG Signal Classification von Ju, Ce, Gao, Dashan, Mane, Ravikiran, Tan, Ben, Liu, Yang, Guan, Cuntai

Volltext

Rethinking Uncertainty in Deep Learning: Whether and How it Improves Robustness von Jin, Yilun, Fan, Lixin, Ng, Kam Woh, Ju, Ce, Yang, Qiang

Volltext bestellen

Representation Learning for Spatial Graphs von Wang, Zheng, Ju, Ce, Cong, Gao, Long, Cheng

Volltext bestellen

Privacy Threats Against Federated Matrix Factorization von Gao, Dashan, Tan, Ben, Ju, Ce, Zheng, Vincent W, Yang, Qiang

Volltext bestellen

Rethinking Privacy Preserving Deep Learning: How to Evaluate and Thwart Privacy Attacks von Fan, Lixin, Ng, Kam Woh, Ju, Ce, Zhang, Tianyu, Liu, Chang, Chan, Chee Seng, Yang, Qiang

Volltext bestellen