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Information Sciences, Volume 591
Volume 591, April 2022
- Tamunokuro Opubo William-West, Armand Florentin Donfack Kana
, Musa Adeku Ibrahim:
Shadowed-set-based three-way clustering methods: An investigation of new optimization-based principles. 1-24 - Duy M. H. Nguyen, Duy M. Nguyen, Truong Thanh Nhat Mai
ASMCNN: An efficient brain extraction using active shape model and convolutional neural networks. 25-48 - Jianjun Qiu, Xiaopeng Yang
Optimization problems subject to addition-Łukasiewicz-product fuzzy relational inequalities with applications in urban sewage treatment systems. 49-67 - Jingqian Wang
Grained matrix and complementary matrix: Novel methods for computing information descriptions in covering approximation spaces. 68-87 - Zhen Gao, Meng Zhang, Licun Zhang:
Ship-unloading scheduling optimization with differential evolution. 88-102 - Patricia Jiménez
On exploring data lakes by finding compact, isolated clusters. 103-127 - Yunpeng Xiao, Xi He
Dynamic graph computing: A method of finding companion vehicles from traffic streaming data. 128-141 - Fei Wu, Xiao-Yuan Jing, Pengfei Wei, Chao Lan, Yimu Ji, Guo-Ping Jiang, Qinghua Huang:
Semi-supervised multi-view graph convolutional networks with application to webpage classification. 142-154 - Liang Du, Ruobin Gao
Bayesian optimization based dynamic ensemble for time series forecasting. 155-175 - Binglin Wang
An integrated surrogate model constructing method: Annealing combinable Gaussian process. 176-194 - Saihua Cai
MWFP-outlier: Maximal weighted frequent-pattern-based approach for detecting outliers from uncertain weighted data streams. 195-225 - Tianxin Wang, Fuzhen Zhuang, Ying Sun, Xiangliang Zhang, Leyu Lin, Feng Xia, Lei He, Qing He:
Adaptively sharing multi-levels of distributed representations in multi-task learning. 226-234 - Lin Xiao, Pengyu Xu, Liping Jing, Uchenna Akujuobi
Semantic guide for semi-supervised few-shot multi-label node classification. 235-250 - Cong Xu, Xiang Li, Min Yang:
An orthogonal classifier for improving the adversarial robustness of neural networks. 251-262 - Yanyong Huang, Kejun Guo, Xiuwen Yi, Zhong Li, Tianrui Li
Matrix representation of the conditional entropy for incremental feature selection on multi-source data. 263-286 - Muhammad Irfan, Jiangbin Zheng, Muhammad Iqbal, Zafar Masood
Knowledge extraction and retention based continual learning by using convolutional autoencoder-based learning classifier system. 287-305 - Fusen Wang, Jun Sang, Zhongyuan Wu, Qi Liu, Nong Sang:
Hybrid attention network based on progressive embedding scale-context for crowd counting. 306-318 - Yaoyao Liu, Ping Guo, Yi Zeng:
MEACCP: A membrane evolutionary algorithm for capacitated clustering problem. 319-343 - Tianyu Mu, Hongzhi Wang, Chunnan Wang, Zheng Liang, Xinyue Shao:
Auto-CASH: A meta-learning embedding approach for autonomous classification algorithm selection. 344-364 - Borja Fernández-Gauna
Actor-critic continuous state reinforcement learning for wind-turbine control robust optimization. 365-380 - Jianbo Yu, Xuefeng Yan:
Data-feature-driven nonlinear process monitoring based on joint deep learning models with dual-scale. 381-399 - Yuting Sun, Shifei Ding, Lili Guo, Zichen Zhang:
Hypergraph regularized semi-supervised support vector machine. 400-421 - Qinghua Hu
Granular computing based machine learning in the era of big data. 422-423
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