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ORCIDNeurocomputing, Volume 535
Volume 535, May 2023
- Jie Wu, Leiquan Wang, Chenglizhao Chen, Jing Lu
, Chunlei Wu:
Multi-view inter-modality representation with progressive fusion for image-text matching. 1-12 - Jing Wang, Jiangyun Li, Wei Li, Lingfei Xuan, Tianxiang Zhang, Wenxuan Wang:
Positive-negative equal contrastive loss for semantic segmentation. 13-24 - Paulo J. G. Lisboa, Sascha Saralajew, Alfredo Vellido, Ricardo Fernández-Domenech, Thomas Villmann:
The coming of age of interpretable and explainable machine learning models. 25-39 - Ling Huang, Su Ruan, Thierry Denoeux:
Semi-supervised multiple evidence fusion for brain tumor segmentation. 40-52 - Qing Liu, Yongsheng Dong, Xuelong Li:
Multi-stage context refinement network for semantic segmentation. 53-63 - Shupeng Wang, Hui Zhang, Xiaoyun Jiang:
Physics-informed neural network algorithm for solving forward and inverse problems of variable-order space-fractional advection-diffusion equations. 64-82 - Zhiyuan Cao, Jiacai Zhang:
Gradient-coupled cross-patch attention map for weakly supervised semantic segmentation. 83-96 - Jing Han, Guici Chen, Leimin Wang, Guodong Zhang, Junhao Hu:
Direct approach on fixed-time stabilization and projective synchronization of inertial neural networks with mixed delays. 97-106 - Ronghua Shang, Haijing Chi, Yangyang Li, Licheng Jiao:
Adaptive graph regularization and self-expression for noise-aware feature selection. 107-122 - Yongsheng Dong, Longchao Shen, Yuanhua Pei, Haotian Yang, Xuelong Li:
Field-matching attention network for object detection. 123-133 - Hao Jia, Wenchengyu Ji, Xiangpeng Xie, Shenquan Wang:
An H∞/H∞ optimization technique to distributed fault detection for multi-agent systems based on event-triggered mechanism. 134-143 - Yaoxing Li, Liang Bai, Zhuomin Liang, Hangyuan Du:
Incremental label propagation for data sets with imbalanced labels. 144-155 - Sina Tabakhi, Parham Moradi:
Universal feature selection tool (UniFeat): An open-source tool for dimensionality reduction. 156-165 - Christian Moya, Shiqi Zhang, Guang Lin, Meng Yue:
DeepONet-grid-UQ: A trustworthy deep operator framework for predicting the power grid's post-fault trajectories. 166-182
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