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ORCIDNeurocomputing, Volume 513
Volume 513, November 2022
- Ben Finkelshtein, Chaim Baskin, Evgenii Zheltonozhskii, Uri Alon:
Single-node attacks for fooling graph neural networks. 1-12 - Yaoyang Du, Fang Liu, Licheng Jiao
, Zehua Hao, Shuo Li, Xu Liu, Jing Liu:
Augmentative contrastive learning for one-shot object detection. 13-24 - Shan Xue, Biao Luo, Derong Liu, Ying Gao:
Neural network-based event-triggered integral reinforcement learning for constrained H∞ tracking control with experience replay. 25-35 - Xiaoyu Zhao, Yaping Huang, Yi Tian, Mei Tian:
Episode-based personalization network for gaze estimation without calibration. 36-45 - Chuanqi Zang, Menghao Li, Mingtao Pei:
Few-shot human motion prediction using deformable spatio-temporal CNN with parameter generation. 46-58 - Orhun Bugra Baran, Ramazan Gokberk Cinbis:
Semantics-driven attentive few-shot learning over clean and noisy samples. 59-69 - Yan-Feng Lu, Qian Yu, Jing-Wen Gao, Yi Li, Juncheng Zou, Hong Qiao:
Cross stage partial connections based weighted Bi-directional feature pyramid and enhanced spatial transformation network for robust object detection. 70-82 - Mona Alghamdi, Plamen P. Angelov, Lopez Pellicer Alvaro:
Person identification from fingernails and knuckles images using deep learning features and the Bray-Curtis similarity measure. 83-93 - Junyu Gao, Maoguo Gong, Xuelong Li:
Congested crowd instance localization with dilated convolutional swin transformer. 94-103 - Zhao Song, Hao Guo, Danyang Jia, Matjaz Perc, Xuelong Li, Zhen Wang:
Reinforcement learning facilitates an optimal interaction intensity for cooperation. 104-113 - Yakup Akkaya, Murat Simsek, Burak Kantarci, Shahzad Khan:
On cropped versus uncropped training sets in tabular structure detection. 114-126 - Jibin Wang, Shuo Zhang:
An improved deep learning approach based on exponential moving average algorithm for atrial fibrillation signals identification. 127-136 - Zhen Zhao, Peter Xiaoping Liu, Jinfeng Gao:
Model-based fault diagnosis methods for systems with stochastic process - A survey. 137-152 - Xiaolin Yuan, Guojian Ren, Hu Wang, Yongguang Yu:
Mean-square synchronization of fractional-order stochastic complex network via pinning control. 153-164 - Rabia Saleem, Bo Yuan, Fatih Kurugollu, Ashiq Anjum, Lu Liu:
Explaining deep neural networks: A survey on the global interpretation methods. 165-180 - Meng Hui, Jiahuang Zhang, Herbert Ho-Ching Iu, Rui Yao, Lin Bai:
A novel intermittent sliding mode control approach to finite-time synchronization of complex-valued neural networks. 181-193 - Amar Ali-bey, Brahim Chaib-draa, Philippe Giguère:
GSV-Cities: Toward appropriate supervised visual place recognition. 194-203 - Xin Yang, Yong Song, Yufei Zhao, Zishuo Zhang, Chenyang Zhao:
Unveil the potential of siamese framework for visual tracking. 204-214 - Francisco Macedo, Rui Valadas, Eunice Carrasquinha, Maria Rosário de Oliveira, António Pacheco:
Feature selection using Decomposed Mutual Information Maximization. 215-232 - Zhixuan Zhong, Yong Du, Yang Zhou, Jiangzhong Cao, Shengfeng He:
Delving deep into pixelized face recovery and defense. 233-246 - Guanghui Zhang, Dongchen Zhu, Wenjun Shi, Jiamao Li, Xiaolin Zhang:
SemRegionNet: Region ensemble 3D semantic instance segmentation network with semantic spatial aware discriminative loss. 247-260 - Zhijian Lin, Ying Chen, Pingping Chen, Honghui Chen, Feng Chen, Nam Ling:
JMNET: Arbitrary-shaped scene text detection using multi-space perception. 261-272 - Maciej Lawrynczuk:
Input convex neural networks in nonlinear predictive control: A multi-model approach. 273-293 - Sweta Kumari, V. Srinivasa Chakravarthy:
Biologically inspired image classifier based on saccadic eye movement design for convolutional neural networks. 294-317 - Yu Qi, Zhentao Pan, Gang Pan, Yueming Wang:
Subdomain contraction in deep networks for robust representation learning. 318-328 - Zhe Zheng, Na Ni, Guangping Xie, Aichun Zhu, Yingna Wu, Tingting Yang:
HARNet: Hierarchical adaptive regression with location recovery for crowd counting. 329-340 - Xianjie Zhang, Yu Liu, Hangyu Mao, Chao Yu:
Common belief multi-agent reinforcement learning based on variational recurrent models. 341-350 - Jia Wen Seow, Mei Kuan Lim, Raphaël C.-W. Phan, Joseph K. Liu:
A comprehensive overview of Deepfake: Generation, detection, datasets, and opportunities. 351-371 - Gilberto Astolfi, Diego André Sant'Ana, João Vitor de Andrade Porto, Fábio Prestes Cesar Rezende, Everton Castelão Tetila, Edson Takashi Matsubara, Hemerson Pistori:
An approach for applying natural language processing to image classification problems. 372-382 - Yueyue Wang, Danjun Song, Wentao Wang, Shengxiang Rao, Xiaoying Wang, Manning Wang:
Self-supervised learning and semi-supervised learning for multi-sequence medical image classification. 383-394 - Reshma Rastogi, Sayed Mortaza:
Imbalance multi-label data learning with label specific features. 395-408
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