Issue 9/2023
Content (25 Articles)
A unified approach to designing sequence-based personalized food recommendation systems: tackling dynamic user behaviors
Jieyu Zhang, Zidong Wang, Weibo Liu, Xiaohui Liu, Qiusheng Zheng
HMNet: a hierarchical multi-modal network for educational video concept prediction
Wei Huang, Tong Xiao, Qi Liu, Zhenya Huang, Jianhui Ma, Enhong Chen
CatSight, a direct path to proper multi-variate time series change detection: perceiving a concept drift through common spatial pattern
Arantzazu Flórez, Itsaso Rodríguez-Moreno, Arkaitz Artetxe, Igor García Olaizola, Basilio Sierra
RNON: image inpainting via repair network and optimization network
Yuantao Chen, Runlong Xia, Ke Zou, Kai Yang
NMEAS: Neuro-MaxEnt architecture search
Zhiyuan Zou, Weibin Liu, Weiwei Xing, Shunli Zhang
Importance-aware contrastive learning via semantically augmented instances for unsupervised sentence embeddings
Xin Ma, Hong Li, Jiawen Shi, Yi Zhang, Zhigao Long
A static video summarization approach via block-based self-motivated visual attention scoring mechanism
Wen-lin Li, Tong Zhang, Xiao Liu
Learning positioning policies for mobile manipulation operations with deep reinforcement learning
Ander Iriondo, Elena Lazkano, Ander Ansuategi, Andoni Rivera, Iker Lluvia, Carlos Tubío
Robust unsupervised feature selection via dual space latent representation learning and adaptive structure learning
Weiyi Li, Hongmei Chen, Tianrui Li, Tengyu Yin, Chuan Luo
Deep hashing via multi-scale and multi-directional pooling for image retrieval
Yunbo Rao, Wang Zhou, Shaoning Zeng, Junmin Xue
ESTI: an action recognition network with enhanced spatio-temporal information
ZhiYu Jiang, Yi Zhang, Shu Hu
Recommendation model based on multi-grained interaction that fuses users’ dynamic interests
Zhenyu Yang, Yu Wang, Guojing Liu, Zhe Li, Xingang Wang
Link prediction for heterogeneous information networks based on enhanced meta-path aggregation and attention mechanism
Hao Shao, Lunwen Wang, Rangang Zhu
Text semantic matching with an enhanced sample building method based on contrastive learning
Lishan Wu, Jie Hu, Fei Teng, Tianrui Li, Shengdong Du
An attention-based automatic vulnerability detection approach with GGNN
Gaigai Tang, Lin Yang, Long Zhang, Weipeng Cao, Lianxiao Meng, Hongbin He, Hongyu Kuang, Feng Yang, Huiqiang Wang
Irregular convolution strategy based tensorized type-2 single layer feedforward network
Jie Li, Guoliang Zhao, Sharina Huang, Zhi Weng
RePGAN: image inpainting via residual partial connection and mask discriminator
Lin Sun, Bin Jiang, Chao Yang, Jiawu Dai, Weiyuan Zeng
iMovieRec: a hybrid movie recommendation method based on a user-image-item model
Syjung Hwang, Hyeongjin Ahn, Eunil Park
Optimal interventional policy based on discrete-time fuzzy rules equivalent model utilizing with COVID-19 pandemic data
C. Treesatayapun
AANet: adaptive attention network for rolling bearing fault diagnosis under varying loads
Shixin Sun, Jie Gao, Wei Wang, Jinsong Du, Xu Yang
BART-based contrastive and retrospective network for aspect-category-opinion-sentiment quadruple extraction
Haoliang Xiong, Zehao Yan, Chuhan Wu, Guojun Lu, Shiguan Pang, Yun Xue, Qianhua Cai
A three-way decisions approach based on double hierarchy linguistic aggregation operators of strict t-norms and t-conorms
Yihua Zhong, Ping Wu, Chuan Chen, Chao Min, Xue Yong
Siamese infrared and visible light fusion network for RGB-T tracking
Jingchao Peng, Haitao Zhao, Zhengwei Hu, Yi Zhuang, Bofan Wang
Learning-based robust model predictive control with data-driven Koopman operators
Meixi Wang, Xuyang Lou, Baotong Cui