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Neurocomputing, Volume 481
Volume 481, April 2022
- Si-Bao Chen, Yu-Jie Zheng, Chris H. Q. Ding, Bin Luo:
SIECP: Neural Network Channel Pruning based on Sequential Interval Estimation. 1-10 - Chengqun Song, Maolong Niu, Zhaopeng Liu, Jun Cheng, Peng Wang, Hongjian Li, Luoying Hao:
Spatial-temporal 3D dependency matching with self-supervised deep learning for monocular visual sensing. 11-21 - Qi-Jin Wang, Sheng-Yu Zhang
, Yu Qian
Enhancing representation learning by exploiting effective receptive fields for object detection. 22-32 - Gonzalo Nápoles
Modeling implicit bias with fuzzy cognitive maps. 33-45 - Peiming Li, Xiang Wu, Xiangyong Chen, Jianlong Qiu:
Distributed adaptive finite-time tracking for multi-agent systems and its application. 46-54 - Bo Hu, Yun Liu, Naiyue Chen, Lifu Wang, Ning Liu, Xing Cao:
SEGCN-DCR: A syntax-enhanced event detection framework with decoupled classification rebalance. 55-66 - Rahman Salim Zengin, Volkan Sezer
Super-k: A piecewise linear classifier based on Voronoi tessellations. 67-76 - Dongqing Wu, Huihui Li, Yinge Tang, Lei Guo, Hang Liu:
Global-Guided Asymmetric Attention Network for Image-Text Matching. 77-90 - Yating Liu, Tianxiang Bai, Yonglin Tian, Yutong Wang, Jiangong Wang, Xiao Wang, Fei-Yue Wang:
SegDQ: Segmentation assisted multi-object tracking with dynamic query-based transformers. 91-101 - Mahsa Ziraksima
Deep reinforcement learning in loop fusion problem. 102-120 - Shining Liang, Wanli Zuo, Zhenkun Shi
A multi-level neural network for implicit causality detection in web texts. 121-132 - Guangyao Zhang, Yanting Li, Wenbo Jiang, Lianjie Shu:
A fault diagnosis method for wind turbines with limited labeled data based on balanced joint adaptive network. 133-153 - Nannan Li, Jia-Xing Zhong, Xiujun Shu, Huiwen Guo:
Weakly-supervised anomaly detection in video surveillance via graph convolutional label noise cleaning. 154-167 - Mingchang Cheng
Adaptive grid-based forest-like clustering algorithm. 168-181 - Aye Phyu Phyu Aung, Senthilnath Jayavelu
Planning sequential interventions to tackle depression in large uncertain social networks using deep reinforcement learning. 182-192 - Lu Zhang, Maiying Zhong, Honggui Han:
Detection of sludge bulking using adaptive fuzzy neural network and mechanism model. 193-201 - Cosimo Ieracitano, Nadia Mammone, Mario Versaci, Giuseppe Varone, Abder-Rahman Ali, Antonio Armentano, Grazia Calabrese, Anna Ferrarelli, Lorena Turano, Carmela Tebala, Zain U. Hussain
A fuzzy-enhanced deep learning approach for early detection of Covid-19 pneumonia from portable chest X-ray images. 202-215 - Woo-Jin Ahn, Tae-Koo Kang, Hyun Duck Choi
Remove and recover: Deep end-to-end two-stage attention network for single-shot heavy rain removal. 216-227 - Gavin Alberghini, Sylvio Barbon Junior
Adaptive ensemble of self-adjusting nearest neighbor subspaces for multi-label drifting data streams. 228-248 - Yuandu Lai, Yucheng Shi, Yahong Han, Yunfeng Shao, Meiyu Qi, Bingshuai Li:
Exploring uncertainty in regression neural networks for construction of prediction intervals. 249-257 - Peipei Wang, Lin Li, Qing Xie, Ru Wang, Guandong Xu:
Social dual-effect driven group modeling for neural group recommendation. 258-269 - Wenjie Hou, Zheyun Qin, Xiaoming Xi, Xiankai Lu, Yilong Yin:
Learning disentangled representation for self-supervised video object segmentation. 270-280 - Zeqiang Lai, Kaixuan Wei
Deep plug-and-play prior for hyperspectral image restoration. 281-293 - Zhuang Zhang
The range of harmful frequency for DNN corruption robustness. 294-309 - Junlong Li
Minimum-energy synchronization for interconnected networks with non-periodical information silence. 310-321 - Bo Chen
Finite-time observer based tracking control of uncertain heterogeneous underwater vehicles using adaptive sliding mode approach. 322-332 - Qianqian Tong
Calibrating the adaptive learning rate to improve convergence of ADAM. 333-356
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