- 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. Inf. Sci. 619: 630-653 (2023) - Yue Ruan, Zhiqiang Yuan, Xiling Xue, Zhihao Liu:
Quantum approximate optimization for combinatorial problems with constraints. Inf. Sci. 619: 98-125 (2023) - 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. Inf. Sci. 619: 324-339 (2023) - 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. Inf. Sci. 619: 849-866 (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]. Inf. Sci. 619: 1 (2023) - Zhenya Wang, Xiang Cheng, Sen Su, Guangsheng Wang:
Differentially private generative decomposed adversarial network for vertically partitioned data sharing. Inf. Sci. 619: 722-744 (2023) - Qiuzhen Wang, Jiangping Hu
, Yanzhi Wu
, Yiyi Zhao:
Output synchronization of wide-area heterogeneous multi-agent systems over intermittent clustered networks. Inf. Sci. 619: 263-275 (2023) - Qi Wang
, Kenneth H. Lai, Chunlei Tang:
Solving combinatorial optimization problems over graphs with BERT-Based Deep Reinforcement Learning. Inf. Sci. 619: 930-946 (2023) - Chixuan Wei, Zhihai Wang, Jidong Yuan, Chuanming Li, Shengbo Chen:
Time-frequency based multi-task learning for semi-supervised time series classification. Inf. Sci. 619: 762-780 (2023) - Xiaoying Wu, Sanyang Liu, Yi-Guang Bai:
The manifold regularized SVDD for noisy label detection. Inf. Sci. 619: 235-248 (2023) - Yifei Wu, Bo Wang, Ran Yuan, Junzo Watada:
A Gramian angular field-based data-driven approach for multiregion and multisource renewable scenario generation. Inf. Sci. 619: 578-602 (2023) - Chaoyu Xia, Chaoli Wang:
Fully distributed event-triggered output feedback control for linear multi-agent systems with a derivable leader under directed graphs. Inf. Sci. 619: 562-577 (2023) - 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. Inf. Sci. 619: 126-152 (2023) - 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. Inf. Sci. 619: 491-508 (2023) - Xiuming Yao, Zhe Sun, Hak-Keung Lam:
Uncertain Disturbance Attenuation and Rejection for Interval Type-2 Fuzzy Systems via Disturbance Observer. Inf. Sci. 619: 340-357 (2023) - Amol Yerudkar
, Evangelos Chatzaroulas, Carmen Del Vecchio, Sotiris Moschoyiannis
:
Sampled-data Control of Probabilistic Boolean Control Networks: A Deep Reinforcement Learning Approach. Inf. Sci. 619: 374-389 (2023) - Xiao Yu
, Hui Liu, Yuxiu Lin, Nan Liu, Shanbao Sun
:
Sample-level weights learning for multi-view clustering on spectral rotation. Inf. Sci. 619: 38-51 (2023) - Shengjia Zhang, Fuyuan Xiao:
A TFN-based uncertainty modeling method in complex evidence theory for decision making. Inf. Sci. 619: 193-207 (2023) - Jialiang Zhang, Juan Zou, Shengxiang Yang, Jinhua Zheng:
An evolutionary algorithm based on independently evolving sub-problems for multimodal multi-objective optimization. Inf. Sci. 619: 908-929 (2023) - Yang Zhao
, Siming Zheng, Jihong Pei, Xuan Yang:
Multiple discriminant preserving support subspace RBFNNs with graph similarity learning. Inf. Sci. 619: 421-438 (2023) - Xinyu Zhou, Yanshuang Ao, Xinlu Wang, Xifeng Guo, Wei Dai
:
Learning with privileged information for short-term photovoltaic power forecasting using stochastic configuration network. Inf. Sci. 619: 834-848 (2023) - Xinyu Zhou, Junyan Song, Shuixiu Wu, Mingwen Wang:
Artificial bee colony algorithm based on online fitness landscape analysis. Inf. Sci. 619: 603-629 (2023) - Ruijie Zhu, Lulu Li, Shuning Wu, Pei Lv, Yafei Li, Mingliang Xu:
Multi-agent broad reinforcement learning for intelligent traffic light control. Inf. Sci. 619: 509-525 (2023)