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ORCIDNeurocomputing, Volume 534
Volume 534, May 2023
- Ganesh Del Grosso, Georg Pichler
, Catuscia Palamidessi, Pablo Piantanida:
Bounding information leakage in machine learning. 1-17 - 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. 18-28 - 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. 29-44 - Xiao Zheng, Chang Tang, Xinwang Liu, En Zhu:
Multi-view clustering via matrix factorization assisted k-means. 45-54 - Faisal Alamri, Anjan Dutta:
Implicit and explicit attention mechanisms for zero-shot learning. 55-66 - Guojun Lu, Haibo Yu, Zehao Yan, Yun Xue:
Commonsense knowledge graph-based adapter for aspect-level sentiment classification. 67-76 - 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. 77-85 - Zenghao Bao, Yutian Luo, Zichang Tan, Jun Wan, Xibo Ma, Zhen Lei:
Deep domain-invariant learning for facial age estimation. 86-93 - Haotian Xu, Zheng Yan, Junyu Xuan, Guangquan Zhang, Jie Lu:
Improving proximal policy optimization with alpha divergence. 94-105 - 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. 106-118 - Xuechao Liao, Zhenxing Liu, Xiujuan Zheng, Zuowei Ping, Xin He:
Wind power prediction based on periodic characteristic decomposition and multi-layer attention network. 119-132 - Zitang Sun, Zhengbo Luo, Shin'ya Nishida:
Decoupled spatiotemporal adaptive fusion network for self-supervised motion estimation. 133-146 - Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee:
PseudoBound: Limiting the anomaly reconstruction capability of one-class classifiers using pseudo anomalies. 147-160 - 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. 161-170 - Lulu Guo, Kaixin Gao, Zheng-Hai Huang:
Low rank tensor recovery by schatten capped p norm and plug-and-play regularization. 171-186 - Ning Zhang, Huiyu Chen, Wenxue Li:
Stochastic mixed impulsive control and stability for stochastic functional differential systems with semi-Markov jump. 187-198 - Thibaut Théate, Antoine Wehenkel, Adrien Bolland, Gilles Louppe, Damien Ernst:
Distributional reinforcement learning with unconstrained monotonic neural networks. 199-219
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