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ORCIDInformation Sciences, Volume 619
Volume 619, January 2023
- Anhui Tan, Xiaowan Ji, Jiye Liang
, Yuzhi Tao, Wei-Zhi Wu, Witold Pedrycz:
Corrigendum to "Weak multi-label learning with missing labels via instance granular discrimination" [Inform. Sci. 594 (2022) 200-216]. 1 - Chen Huang, Xiangbing Zhou, Xiaojuan Ran, Yi Liu, Wuquan Deng, Wu Deng:
Co-evolutionary competitive swarm optimizer with three-phase for large-scale complex optimization problem. 2-18 - Mengjia Qiao, Xiaohui He, Xijie Cheng, Panle Li, Qianbo Zhao, Chenlu Zhao, Zhihui Tian:
KSTAGE: A knowledge-guided spatial-temporal attention graph learning network for crop yield prediction. 19-37 - Xiao Yu, Hui Liu, Yuxiu Lin, Nan Liu, Shanbao Sun:
Sample-level weights learning for multi-view clustering on spectral rotation. 38-51 - Jianhua Dai, Tao Chen, Kai Zhang:
The intuitionistic fuzzy concept-oriented three-way decision model. 52-83 - Jiajing Huang, Hyunsoo Yoon, Teresa Wu, Kasim Selçuk Candan, Ojas Pradhan, Jin Wen, Zheng O'Neill:
Eigen-Entropy: A metric for multivariate sampling decisions. 84-97 - Yue Ruan, Zhiqiang Yuan, Xiling Xue, Zhihao Liu:
Quantum approximate optimization for combinatorial problems with constraints. 98-125 - Huaqiang Xu, Shuai Gu, Yu-Cheng Fan, Xiao-Shuang Li, Yue-Feng Zhao, Jun Zhao, Jing-Jing Wang:
A strategy learning framework for particle swarm optimization algorithm. 126-152 - Düriye Betül Gümüs, Ender Özcan, Jason A. D. Atkin, John H. Drake:
An investigation of F-Race training strategies for cross domain optimisation with memetic algorithms. 153-171 - Kai-Rong Liang, Deng-Feng Li, Kevin W. Li, Jia-Cai Liu:
An interval noncooperative-cooperative biform game model based on weighted equal contribution division values. 172-192 - Shengjia Zhang, Fuyuan Xiao:
A TFN-based uncertainty modeling method in complex evidence theory for decision making. 193-207 - Felipe Ortega, María Jesús Algar, Isaac Martín de Diego, Javier M. Moguerza:
Unconventional application of k-means for distributed approximate similarity search. 208-234 - Xiaoying Wu, Sanyang Liu, Yi-Guang Bai:
The manifold regularized SVDD for noisy label detection. 235-248 - Siyang Lu, Mingquan Wang, Dongdong Wang, Xiang Wei, Sizhe Xiao, Zhiwei Wang, Ningning Han, Liqiang Wang:
Black-box attacks against log anomaly detection with adversarial examples. 249-262 - Qiuzhen Wang, Jiangping Hu, Yanzhi Wu, Yiyi Zhao:
Output synchronization of wide-area heterogeneous multi-agent systems over intermittent clustered networks. 263-275 - Emanuel Di Nardo, Angelo Ciaramella:
Tracking vision transformer with class and regression tokens. 276-287 - Farzad Kiani, Ömer Faruk Saraç:
A novel intelligent traffic recovery model for emergency vehicles based on context-aware reinforcement learning. 288-309 - Jinling Meng, Fei Zhu, Yangyang Ge, Peiyao Zhao:
Integrating safety constraints into adversarial training for robust deep reinforcement learning. 310-323 - Ahmed S. Sakr, Pawel Plawiak, Ryszard Tadeusiewicz, Joanna Plawiak, Mohamed Sakr, Mohamed Hammad:
ECG-COVID: An end-to-end deep model based on electrocardiogram for COVID-19 detection. 324-339 - Xiuming Yao, Zhe Sun, Hak-Keung Lam:
Uncertain Disturbance Attenuation and Rejection for Interval Type-2 Fuzzy Systems via Disturbance Observer. 340-357 - Yingjie Fan, Zhen Wang, Xia Huang, Hao Shen:
Using partial sampled-data information for synchronization of chaotic Lur'e systems and its applications: an interval-dependent functional method. 358-373 - Amol Yerudkar, Evangelos Chatzaroulas, Carmen Del Vecchio, Sotiris Moschoyiannis:
Sampled-data Control of Probabilistic Boolean Control Networks: A Deep Reinforcement Learning Approach. 374-389 - Ziwei Liang, Qiang He, Hongwei Du, Wen Xu:
Targeted influence maximization in competitive social networks. 390-405 - Long Cheng, Cong Liu, Qingtian Zeng:
Optimal alignments between large event logs and process models over distributed systems: An approach based on Petri nets. 406-420 - Yang Zhao, Siming Zheng, Jihong Pei, Xuan Yang:
Multiple discriminant preserving support subspace RBFNNs with graph similarity learning. 421-438 - Yintong Li, Tong Han, Shangqin Tang, Changqiang Huang, Huan Zhou, Yuan Wang:
An improved differential evolution by hybridizing with estimation-of-distribution algorithm. 439-456 - Jakub Kudela, Radomil Matousek:
Combining Lipschitz and RBF surrogate models for high-dimensional computationally expensive problems. 457-477 - Jiaxing Chen, Ying Liu, Ming Tang, Jing Yue:
Asymmetrically interacting dynamics with mutual confirmation from multi-source on multiplex networks. 478-490 - Zan Yang, Haobo Qiu, Liang Gao, Danyang Xu, Yuanhao Liu:
A general framework of surrogate-assisted evolutionary algorithms for solving computationally expensive constrained optimization problems. 491-508 - Ruijie Zhu, Lulu Li, Shuning Wu, Pei Lv, Yafei Li, Mingliang Xu:
Multi-agent broad reinforcement learning for intelligent traffic light control. 509-525 - Quanle Liu, Xiangjiu Che, Mengxue Zhao:
Body part relation reasoning network for human activity understanding. 526-539 - Andrew Houston, Georgina Cosma:
A genetically-optimised artificial life algorithm for complexity-based synthetic dataset generation. 540-561 - Chaoyu Xia, Chaoli Wang:
Fully distributed event-triggered output feedback control for linear multi-agent systems with a derivable leader under directed graphs. 562-577 - Yifei Wu, Bo Wang, Ran Yuan, Junzo Watada:
A Gramian angular field-based data-driven approach for multiregion and multisource renewable scenario generation. 578-602 - Xinyu Zhou, Junyan Song, Shuixiu Wu, Mingwen Wang:
Artificial bee colony algorithm based on online fitness landscape analysis. 603-629 - Jindong Qin, Xiaoyu Ma, Yingying Liang:
Building a consensus for the best-worst method in group decision-making with an optimal allocation of information granularity. 630-653 - Yu Fan, Liang Liu, Xingxing Zhang, Huibin Shi, Wenbin Zhai:
MAPP: An efficient multi-location task allocation framework with personalized location privacy-protecting in spatial crowdsourcing. 654-678 - Shuai Liu, Peng Gao, Yating Li, Weina Fu, Weiping Ding:
Multi-modal fusion network with complementarity and importance for emotion recognition. 679-694 - Ze-hui Chen, Shu-ping Wan, Jiu-ying Dong:
An integrated interval-valued intuitionistic fuzzy technique for resumption risk assessment amid COVID-19 prevention. 695-721 - Zhenya Wang, Xiang Cheng, Sen Su, Guangsheng Wang:
Differentially private generative decomposed adversarial network for vertically partitioned data sharing. 722-744 - Hai Cui, Tao Peng, Feng Xiao, Jiayu Han, Ridong Han, Lu Liu:
Incorporating anticipation embedding into reinforcement learning framework for multi-hop knowledge graph question answering. 745-761 - Chixuan Wei, Zhihai Wang, Jidong Yuan, Chuanming Li, Shengbo Chen:
Time-frequency based multi-task learning for semi-supervised time series classification. 762-780 - Chang Liu, Kaoru Hirota, Yaping Dai:
Patch attention convolutional vision transformer for facial expression recognition with occlusion. 781-794 - Qian Li, Jinsong Yang, Tianji Dai, Yunpeng Xiao:
A predictive model based on user awareness and multi-type rumors forwarding dynamics. 795-816 - Tahir Mahmood, Ubaid ur Rehman, Zeeshan Ali:
Analysis and application of Aczel-Alsina aggregation operators based on bipolar complex fuzzy information in multiple attribute decision making. 817-833 - Xinyu Zhou, Yanshuang Ao, Xinlu Wang, Xifeng Guo, Wei Dai:
Learning with privileged information for short-term photovoltaic power forecasting using stochastic configuration network. 834-848 - Hong Sang, Hong Nie, Zhuoyu Li, Jun Zhao:
H∞ filtering for discrete-time switched fuzzy delayed systems with channel fading via improved state-dependent switching. 849-866 - Panagiotis Korkidis, Anastasios I. Dounis:
On training non-uniform fuzzy partitions for function approximation using differential evolution: A study on fuzzy transform and fuzzy projection. 867-888 - Jinseong Park, Yujin Choi, Junyoung Byun, Jaewook Lee, Saerom Park:
Efficient differentially private kernel support vector classifier for multi-class classification. 889-907 - Jialiang Zhang, Juan Zou, Shengxiang Yang, Jinhua Zheng:
An evolutionary algorithm based on independently evolving sub-problems for multimodal multi-objective optimization. 908-929 - Qi Wang, Kenneth H. Lai, Chunlei Tang:
Solving combinatorial optimization problems over graphs with BERT-Based Deep Reinforcement Learning. 930-946 - Juan Carlos Figueroa-García, Roman Neruda, Germán Jairo Hernández-Pérez:
A genetic algorithm for multivariate missing data imputation. 947-967 - Xiaoli Li, Siran Zhao, Chuan Chen, Zibin Zheng:
Heterogeneity-aware fair federated learning. 968-986
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