Ausgabe 9/2020
Inhalt (15 Artikel)
Enhancing a machine learning binarization framework by perturbation operators: analysis on the multidimensional knapsack problem
José García, Eduardo Lalla-Ruiz, Stefan Voß, Enrique López Droguett
Fully-connected LSTM–CRF on medical concept extraction
Jie Ji, Bairui Chen, Hongcheng Jiang
An evolution strategy based approach for cover scheduling problem in wireless sensor networks
Gaurav Srivastava, Pandiri Venkatesh, Alok Singh
Extreme learning machine with hybrid cost function of G-mean and probability for imbalance learning
Jong-Hyok Ri, Guanzhong Tian, Yong Liu, Wei-hua Xu, Jun-gang Lou
Unsupervised attribute reduction based on -approximate equal relation in interval-valued information systems
Xiaofeng Liu, Jianhua Dai, Jiaolong Chen, Chucai Zhang
Legal public opinion news abstractive summarization by incorporating topic information
Yuxin Huang, Zhengtao Yu, Junjun Guo, Zhiqiang Yu, Yantuan Xian
An improved artificial bee colony algorithm for balancing local and global search behaviors in continuous optimization
Huseyin Hakli, Mustafa Servet Kiran
Unsupervised image-to-image translation using intra-domain reconstruction loss
Yuan Fan, Mingwen Shao, Wangmeng Zuo, Qingyun Li
A novel learning-based approach for efficient dismantling of networks
Changjun Fan, Li Zeng, Yanghe Feng, Guangquan Cheng, Jincai Huang, Zhong Liu
Multiple-instance learning via multiple-point concept based instance selection
Liming Yuan, Guangping Xu, Lu Zhao, Xianbin Wen, Haixia Xu
Selection of relevant texture descriptors for recognition of HEp-2 cell staining patterns
Debamita Kumar, Pradipta Maji
Supervised information granulation strategy for attribute reduction
Keyu Liu, Xibei Yang, Hualong Yu, Hamido Fujita, Xiangjian Chen, Dun Liu
Unsupervised and supervised methods for the detection of hurriedly created profiles in recommender systems
Costas Panagiotakis, Harris Papadakis, Paraskevi Fragopoulou
An MADM approach to covering-based variable precision fuzzy rough sets: an application to medical diagnosis
Haibo Jiang, Jianming Zhan, Bingzhen Sun, José Carlos R. Alcantud