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Information Sciences, Volume 627
Volume 627, May 2023
- Junsheng Qiao
:
D-overlap functions: Construction, characterization and ordinal sum representation. 1-19 - Dawen Wu
CCGnet: A deep learning approach to predict Nash equilibrium of chance-constrained games. 20-33 - Wenwen Li, Ender Özcan, John H. Drake, Mashael S. Maashi
A generality analysis of multiobjective hyper-heuristics. 34-51 - Qi Li
How to improve the accuracy of clustering algorithms. 52-70 - Zhen Hua, Xiaochuan Jing, Luis Martínez:
Consensus reaching for social network group decision making with ELICIT information: A perspective from the complex network. 71-96 - Bowen Zhao, Huanlai Xing, Xinhan Wang, Fuhong Song, Zhiwen Xiao
Rethinking attention mechanism in time series classification. 97-114 - Tie Li
A new representation learning approach for credit data analysis. 115-131 - Qiongwen Zhang, Yunliang Wang, Jun Cheng, Huaicheng Yan, Kaibo Shi:
Improved filtering of interval type-2 fuzzy systems over Gilbert-Elliott channels. 132-146 - Xia Liu, Yunyue Zhang, Yejun Xu
A consensus model for group decision-making with personalized individual self-confidence and trust semantics: A perspective on dynamic social network interactions. 147-168 - Xinxin Li, Shuai Hua, Qunfeng Liu, Yun Li:
A partition-based convergence framework for population-based optimization algorithms. 169-188 - Huichun Li, Xin Li
Detecting early-warning signals for social emergencies by temporal network sociomarkers. 189-204 - Yongping Du, Xingnan Jin, Rui Yan, Jingya Yan:
Sentiment enhanced answer generation and information fusing for product-related question answering. 205-219 - Tianxiang Zhu, Fuchun Liu, Cuntao Xiao:
Reliable fuzzy prognosability of decentralized fuzzy discrete-event systems and verification algorithm. 220-237 - Wei Yao
A topological approach to rough sets from a granular computing perspective. 238-250 - Patrick Rodler:
DynamicHS: Streamlining Reiter's Hitting-Set Tree for Sequential Diagnosis. 251-279 - Carlos Manchini, Raydonal Ospina
A new approach to data differential privacy based on regression models under heteroscedasticity with applications to machine learning repository data. 280-300
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