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ORCIDNeural Networks, Volume 161
Volume 161, April 2023
- Huannan Zheng, Nanxiang Yu, Wei Zhu
:
Quasi-synchronization of drive-response systems with parameter mismatch via event-triggered impulsive control. 1-8
- Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Yisen Wang, Zhouchen Lin:
SPIDE: A purely spike-based method for training feedback spiking neural networks. 9-24 - Xu Huang, Bowen Zhang, Shanshan Feng, Yunming Ye, Xutao Li:
Interpretable local flow attention for multi-step traffic flow prediction. 25-38 - Jiajun Wen, Hong-Lin Chu, Zhihui Lai, Tianyang Xu, Linlin Shen:
Enhanced robust spatial feature selection and correlation filter learning for UAV tracking. 39-54
- Weipeng Tai, Xinling Li, Jianping Zhou, Sabri Arik:
Asynchronous dissipative stabilization for stochastic Markov-switching neural networks with completely- and incompletely-known transition rates. 55-64
- Jiayu Mao, Shuang Qiu, Wei Wei, Huiguang He:
Cross-modal guiding and reweighting network for multi-modal RSVP-based target detection. 65-82
- Jiun-Da Lin, Yue-Hua Han, Po-Han Huang, Julianne Tan, Jun-Cheng Chen, Muhammad Tanveer, Kai-Lung Hua:
DEFAEK: Domain Effective Fast Adaptive Network for Face Anti-Spoofing. 83-91
- Qiang Li:
Corrigendum to "Functional connectivity inference from fMRI data using multivariate information measures" [Neural Networks 146 (2022) 85-97]. 92
- De-Yan Xie, Quanxue Gao, Ming Yang:
Enhanced tensor low-rank representation learning for multi-view clustering. 93-104
- Zhaoshuo Liu, Chaolu Feng, Shuaizheng Chen, Jun Hu:
Knowledge-Preserving continual person re-identification using Graph Attention Network. 105-115
- Adedapo Alabi, Dieter Vanderelst, Ali A. Minai:
Rapid learning of spatial representations for goal-directed navigation based on a novel model of hippocampal place fields. 116-128
- Nicola Rares Franco, Stefania Fresca, Andrea Manzoni, Paolo Zunino:
Approximation bounds for convolutional neural networks in operator learning. 129-141
- Sugandha Arora, Harsh Kumar Suman, Trilok Mathur, Hari Mohan Pandey, Kamlesh Tiwari:
Fractional derivative based weighted skip connections for satellite image road segmentation. 142-153 - Pui-Wai Ma, T.-H. Hubert Chan:
A feedforward unitary equivariant neural network. 154-164 - Moonjung Eo, Suhyun Kang, Wonjong Rhee:
An effective low-rank compression with a joint rank selection followed by a compression-friendly training. 165-177
- Sree Rama Vamsidhar S., Arun Kumar Sivapuram, Vaishnavi Ravi, Gowtham Senthil, Rama Krishna Gorthi:
VISAL - A novel learning strategy to address class imbalance. 178-184
- Yeonjong Shin, Jérôme Darbon, George Em Karniadakis:
Accelerating gradient descent and Adam via fractional gradients. 185-201
- Pratik Mazumder, Mohammed Asad Karim, Indu Joshi, Pravendra Singh:
Leveraging joint incremental learning objective with data ensemble for class incremental learning. 202-212 - Kun Tian, Chenghao Zhang, Ying Wang, Shiming Xiang:
Domain adaptive object detection with model-agnostic knowledge transferring. 213-227 - Jinwei Xing, Takashi Nagata, Xinyun Zou, Emre Neftci, Jeffrey L. Krichmar:
Achieving efficient interpretability of reinforcement learning via policy distillation and selective input gradient regularization. 228-241
- Denis Belomestny, Alexey Naumov, Nikita Puchkin, Sergey Samsonov:
Simultaneous approximation of a smooth function and its derivatives by deep neural networks with piecewise-polynomial activations. 242-253
- Shiping Wang, Yunhe Zhang, Xincan Lin, Lichao Su, Guobao Xiao, William Zhu, Yiqing Shi:
Learning matrix factorization with scalable distance metric and regularizer. 254-266
- Kai Yang, Haijun Zhang, Dongliang Zhou, Li Dong, Jianghong Ma:
IASA: An IoU-aware tracker with adaptive sample assignment. 267-280
- Fangzhu Ming, Feng Gao, Kun Liu, Chengmei Zhao:
Cooperative modular reinforcement learning for large discrete action space problem. 281-296
- Yaoping Li, Shuangcheng Jia, Qian Li:
BalanceHRNet: An effective network for bottom-up human pose estimation. 297-305
- Peng Zhao, Yi Li, Baowei Tang, Huiting Liu, Sheng Yao:
Feature relocation network for fine-grained image classification. 306-317
- Fernando J. Rendón-Segador, Juan Antonio Álvarez-García, Jose L. Salazar-González, Tatiana Tommasi:
CrimeNet: Neural Structured Learning using Vision Transformer for violence detection. 318-329
- Zikai Feng, Mengxing Huang, Yuanyuan Wu, Di Wu, Jinde Cao, Iakov Korovin, Sergey Gorbachev, Nadezhda Gorbacheva:
Approximating Nash equilibrium for anti-UAV jamming Markov game using a novel event-triggered multi-agent reinforcement learning. 330-342
- Xutao Li, Michael K. Ng, Guangning Xu, Andy M. Yip:
Multi-relational graph convolutional networks: Generalization guarantees and experiments. 343-358
- Qingwen Li, Jianni Chen, Qiqin Xie, Xiao Han:
Video summarization for event-centric videos. 359-370
- Han Zhang, Luyi Bai:
Few-shot link prediction for temporal knowledge graphs based on time-aware translation and attention mechanism. 371-381
- Rui Wang, Xiaojun Wu, Tianyang Xu, Cong Hu, Josef Kittler:
U-SPDNet: An SPD manifold learning-based neural network for visual classification. 382-396 - Pengyu Song, Chunhui Zhao, Biao Huang:
MPGE and RootRank: A sufficient root cause characterization and quantification framework for industrial process faults. 397-417 - Marko Zeman, Jana Faganeli Pucer, Igor Kononenko, Zoran Bosnic:
SuperFormer: Continual learning superposition method for text classification. 418-436
- José de Jesús Rubio:
Bat algorithm based control to decrease the control energy consumption and modified bat algorithm based control to increase the trajectory tracking accuracy in robots. 437-448
- Mahsa Paknezhad, Hamsawardhini Rengarajan, Chenghao Yuan, Sujanya Suresh, Manas Gupta, Savitha Ramasamy, Hwee Kuan Lee:
Improving transparency and representational generalizability through parallel continual learning. 449-465
- Haohao Qin, Gui Zhao, Yue Li, Hui Wang:
Hybrid distributed finite-time neurodynamic optimization of electric vehicle charging schemes management in microgrid considering time-varying factors. 466-475
- Angelo G. Menezes, Gustavo de Moura, Cézanne Alves, André C. P. L. F. de Carvalho:
Continual Object Detection: A review of definitions, strategies, and challenges. 476-493 - Leyuan Qu, Cornelius Weber, Stefan Wermter:
Emphasizing unseen words: New vocabulary acquisition for end-to-end speech recognition. 494-504 - Yangrui Chen, Jiaxuan You, Jun He, Yuan Lin, Yanghua Peng, Chuan Wu, Yibo Zhu:
SP-GNN: Learning structure and position information from graphs. 505-514
- Christian Tsvetkov, Gaurav Malhotra, Benjamin D. Evans, Jeffrey S. Bowers:
The role of capacity constraints in Convolutional Neural Networks for learning random versus natural data. 515-524
- Xinyu Peng, Fei-Yue Wang, Li Li:
MixGradient: A gradient-based re-weighting scheme with mixup for imbalanced data streams. 525-534
- Jian-Xun Mi, Nuo Li, Ke-Yang Huang, Weisheng Li, Lifang Zhou:
Hierarchical neural network with efficient selection inference. 535-549
- Krasymyr Tretiak, Georg Schollmeyer, Scott Ferson:
Neural network model for imprecise regression with interval dependent variables. 550-564
- Aurora Cobo Aguilera, Pablo M. Olmos, Antonio Artés-Rodríguez, Fernando Pérez-Cruz:
Regularizing transformers with deep probabilistic layers. 565-574
- Ali Nouri, Seyyed Ali Seyyedsalehi:
Eigen value based loss function for training attractors in iterated autoencoders. 575-588
- Hua Yang, Minghao Zhao, Lei Yuan, Yang Yu, Zhenhua Li, Ming Gu:
Memory-efficient Transformer-based network model for Traveling Salesman Problem. 589-597 - Yue Wu, Yuan Lan, Luchan Zhang, Yang Xiang:
Feature flow regularization: Improving structured sparsity in deep neural networks. 598-613 - Qian Wang, Fanlin Meng, Toby P. Breckon:
Data augmentation with norm-AE and selective pseudo-labelling for unsupervised domain adaptation. 614-625
- Zelin Zang, Yongjie Xu, Linyan Lu, Yulan Geng, Senqiao Yang, Stan Z. Li:
UDRN: Unified Dimensional Reduction Neural Network for feature selection and feature projection. 626-637
- Baicheng Pan, Chuandong Li, Hangjun Che:
Nonconvex low-rank tensor approximation with graph and consistent regularizations for multi-view subspace learning. 638-658 - Eli Verwimp, Kuo Yang, Sarah Parisot, Lanqing Hong, Steven McDonagh, Eduardo Pérez-Pellitero, Matthias De Lange, Tinne Tuytelaars:
CLAD: A realistic Continual Learning benchmark for Autonomous Driving. 659-669 - Kyeongtak Han, Youngeun Kim, Dongyoon Han, Hojun Lee, Sungeun Hong:
TL-ADA: Transferable Loss-based Active Domain Adaptation. 670-681 - JoonHo Lee, Gyemin Lee:
Feature Alignment by Uncertainty and Self-Training for Source-Free Unsupervised Domain Adaptation. 682-692
- Jingxin Liu, Xiaofeng Liao, Jin-song Dong, Amin Mansoori:
A neurodynamic approach for nonsmooth optimal power consumption of intelligent and connected vehicles. 693-707
- Yingjie Tian, Xiaotong Yu, Saiji Fu:
Partial label learning: Taxonomy, analysis and outlook. 708-734
- Lixin Yang, Jie Tao, Yong-Hua Liu, Yong Xu, Chun-Yi Su:
Energy scheduling for DoS attack over multi-hop networks: Deep reinforcement learning approach. 735-745 - Jingya Zang, Cuiyun Gao, Yupan Chen, Ruifeng Xu, Lanjun Zhou, Xuan Wang:
Learning to Generate Tips from Song Reviews. 746-756
- Diponkor Bala, Md Shamim Hossain, Mohammad Alamgir Hossain, Md. Ibrahim Abdullah, Md. Mizanur Rahman, Balachandran Manavalan, Naijie Gu, Mohammad S. Islam, Zhangjin Huang:
MonkeyNet: A robust deep convolutional neural network for monkeypox disease detection and classification. 757-775
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