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Publication search results
found 17 matches
- 2023
- Zhijun Zhang, Lihang Ye, Bozhao Chen, Yamei Luo:
An anti-interference dynamic integral neural network for solving the time-varying linear matrix equation with periodic noises. Neurocomputing 534: 29-44 (2023) - Faisal Alamri, Anjan Dutta:
Implicit and explicit attention mechanisms for zero-shot learning. Neurocomputing 534: 55-66 (2023) - Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee:
PseudoBound: Limiting the anomaly reconstruction capability of one-class classifiers using pseudo anomalies. Neurocomputing 534: 147-160 (2023) - Zenghao Bao, Yutian Luo, Zichang Tan, Jun Wan, Xibo Ma, Zhen Lei:
Deep domain-invariant learning for facial age estimation. Neurocomputing 534: 86-93 (2023) - Ganesh Del Grosso, Georg Pichler, Catuscia Palamidessi, Pablo Piantanida:
Bounding information leakage in machine learning. Neurocomputing 534: 1-17 (2023) - Lulu Guo, Kaixin Gao, Zheng-Hai Huang:
Low rank tensor recovery by schatten capped p norm and plug-and-play regularization. Neurocomputing 534: 171-186 (2023) - Farzaneh Kazemzadeh, Ali Asghar Safaei, Mitra Mirzarezaee, Sanaz Afsharian, Houman Kosarirad:
Determination of influential nodes based on the Communities' structure to maximize influence in social networks. Neurocomputing 534: 18-28 (2023) - Xuechao Liao, Zhenxing Liu, Xiujuan Zheng, Zuowei Ping, Xin He:
Wind power prediction based on periodic characteristic decomposition and multi-layer attention network. Neurocomputing 534: 119-132 (2023) - Yucong Lin, Silu Li, Jiaxing Xu, Jiawei Xu, Dong Huang, Wendi Zheng, Yuan Cao, Junwei Lu:
Graph over-parameterization: Why the graph helps the training of deep graph convolutional network. Neurocomputing 534: 77-85 (2023) - Guojun Lu, Haibo Yu, Zehao Yan, Yun Xue:
Commonsense knowledge graph-based adapter for aspect-level sentiment classification. Neurocomputing 534: 67-76 (2023) - Zitang Sun, Zhengbo Luo, Shin'ya Nishida:
Decoupled spatiotemporal adaptive fusion network for self-supervised motion estimation. Neurocomputing 534: 133-146 (2023) - Thibaut Théate, Antoine Wehenkel, Adrien Bolland, Gilles Louppe, Damien Ernst:
Distributional reinforcement learning with unconstrained monotonic neural networks. Neurocomputing 534: 199-219 (2023) - Haotian Xu, Zheng Yan, Junyu Xuan, Guangquan Zhang, Jie Lu:
Improving proximal policy optimization with alpha divergence. Neurocomputing 534: 94-105 (2023) - Jun Zhang, Nanning Zheng, Mingyu Liu, Dingyi Yao, Yusong Wang, Jianji Wang, Jingmin Xin:
Multi-weight susceptible-infected model for predicting COVID-19 in China. Neurocomputing 534: 161-170 (2023) - Ning Zhang, Huiyu Chen, Wenxue Li:
Stochastic mixed impulsive control and stability for stochastic functional differential systems with semi-Markov jump. Neurocomputing 534: 187-198 (2023) - Defang Zhao, Dandan Zhu, Xiongkuo Min, Jiaomin Yue, Kaiwei Zhang, Qiangqiang Zhou, Guangtao Zhai, Xiaokang Yang:
Human attention based movie summarization: Dataset and baseline model. Neurocomputing 534: 106-118 (2023) - Xiao Zheng, Chang Tang, Xinwang Liu, En Zhu:
Multi-view clustering via matrix factorization assisted k-means. Neurocomputing 534: 45-54 (2023)
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