- Johan Chagnon, Markus Hagenbuchner, Ah Chung Tsoi, Franco Scarselli:
Going Deeper with Recursive Convolutional Layers. IJCNN 2023: 1-8 - Yekun Chai, Haidong Zhang, Qiyue Yin, Junge Zhang:
Neural Text Classification by Jointly Learning to Cluster and Align. IJCNN 2023: 1-8 - Biswadeep Chakraborty, Saibal Mukhopadhyay:
Brain-Inspired Spiking Neural Network for Online Unsupervised Time Series Prediction. IJCNN 2023: 1-8 - Robin Chan, Sarina Penquitt, Hanno Gottschalk:
LU-Net: Invertible Neural Networks Based on Matrix Factorization. IJCNN 2023: 1-10 - Yujie Chang, Tianliang Liu, Qinchao Xu, Xinyu Zhao, Xun Xiao, Zhengjie Wang:
Multimodal Video Emotional Analysis of Time Features Alignment and Information Auxiliary Learning. IJCNN 2023: 1-8 - Ching-Yu Chang, Chun-Ting Ye, Tzer-jen Wei:
Image-to-Image Translation on Defined Highlighting Regions by Semi-Supervised Semantic Segmentation. IJCNN 2023: 1-9 - Wenjing Chang, Jianjun Yu, Xiaojun Zhou:
ConsE: Consistency Exploitation for Semi-Supervised Anomaly Detection in Graphs. IJCNN 2023: 1-8 - Mingrui Che, Liu Yang, Yuxin Zhang:
RCN:Rules-Constrained Network for Autonomous Driving Scene Recognition. IJCNN 2023: 1-9 - Shidong Chen, Huicong Bian, Yalun Wang, Weixiao Li, Qin Lu:
LFLD: A Lightweight Facial Landmark Detector Based on Auxiliary Heatmap. IJCNN 2023: 1-8 - Jiaxuan Chen, Haotian Chen, Ryosho Nakane, Gouhei Tanaka, Akira Hirose:
Time-domain Fading Channel Prediction Based on Spin-wave Reservoir Computing. IJCNN 2023: 1-8 - Jinhua Chen, Jin Fan, Zhen Liu, Jiaqian Xiang, Jia Wu:
Segformer: Segment-Based Transformer with Decomposition for Long-Term Series Forecasting. IJCNN 2023: 1-8 - Junjun Chen, Qiang Guo, Zhongnan Fu, Qun Shang, Hao Ma, Nai Wang:
Semi-supervised Campus Network Intrusion Detection Based on Knowledge Distillation. IJCNN 2023: 1-7 - Meng Chen, Jun Gao, Wuxin Yu, Hujian Peng:
LD2-YOLO: A Defect Detection Method for Automotive Composite Leather. IJCNN 2023: 1-8 - Fei Chen, Zihan Kang, Chenxi Zhang, Chunming Wu:
Multi-contrastive Learning Recommendation Combined with Knowledge Graph. IJCNN 2023: 1-8 - Rui Chen, Guotao Liang, Chenrui Ma, Qilong Han, Li Li, Xiao Huang:
HTP: Exploiting Holistic Temporal Patterns for Sequential Recommendation. IJCNN 2023: 1-8 - Haotian Chen, Ryo Natsuaki, Akira Hirose:
Symbol Detection for Polarization Shift Keying Based on Quaternion Neural Networks. IJCNN 2023: 1-8 - Haotian Chen, Ryo Natsuaki, Akira Hirose:
Reservoir Computing for Symbol Detection of Optical Wireless Scattering Communications. IJCNN 2023: 1-6 - Min Chen, Zhiqiang Pu, Yi Pan, Jianqiang Yi, Yixiong Cui, Lida Du:
All for Goals: a Stylized Automated Analysis Framework in Football Matches. IJCNN 2023: 1-8 - Fumin Chen, Xu Wang, Xiaohui Liu, Dezhong Peng:
A Trigger-Free Method Enhanced by Coreference Information for Document-Level Event Extraction. IJCNN 2023: 1-8 - Ting Chen, Jianming Wang, Yukuan Sun:
Meta-MSGAT: Meta Multi-scale Fused Graph Attention Network. IJCNN 2023: 1-8 - Xueyuan Chen, Xiao Wei, Hang Yu, Xiangfeng Luo:
ReGRL: An Informative Graph Representation via Hierarchical Recursive Learning for Legal Case Recommendation. IJCNN 2023: 1-7 - Liang Chen, Xueming Yan, Zilong Wang, Han Huang:
Neural Architecture Search with Heterogeneous Representation Learning for Zero-Shot Multi-Label Text Classification. IJCNN 2023: 1-8 - Jiale Chen, Shuang Zhang, Zhiheng Li, Xin Jin:
Gravity-Shift-VIO: Adaptive Acceleration Shift and Multi-Modal Fusion with Transformer in Visual-Inertial Odometry. IJCNN 2023: 1-8 - Chen Chen, Wei Emma Zhang, Alireza Seyed Shakeri, Makhmoor Fiza:
The Exploration of Knowledge-Preserving Prompts for Document Summarisation. IJCNN 2023: 1-8 - Xianhui Cheng, Shoumeng Qiu, Zhikang Zou, Jian Pu, Xiangyang Xue:
Understanding Depth Map Progressively: Adaptive Distance Interval Separation for Monocular 3d Object Detection. IJCNN 2023: 1-8 - He Cheng, Depeng Xu, Shuhan Yuan:
Explainable Sequential Anomaly Detection via Prototypes. IJCNN 2023: 1-8 - Hao Cheng, Wei Zhang, Shuo Wang, Hao Liao:
Explainable Restaurant Closure Prediction through Co-Attentive Contrastive Learning. IJCNN 2023: 1-8 - Yann Cherdo, Benoît Miramond, Alain Pegatoquet:
Time series prediction and anomaly detection with recurrent spiking neural networks. IJCNN 2023: 1-10 - Aviral Chharia, Runjhun Saran, Apurva Narayan:
cAPTured: Neural Reflex Arc-Inspired Fuzzy Continual Learning for Capturing in Silico Aptamer-Target Protein Interactions. IJCNN 2023: 1-9 - Jen-Tzung Chien, Weiwei Lai:
Variational Skill Embeddings for Meta Reinforcement Learning. IJCNN 2023: 1-8