KNOWLEDGE-BASED SYSTEMS

KNOWLEDGE-BASED SYSTEMS(英文缩写 KNOWL-BASED SYST),ISSN 0950-7051,eISSN 1872-7409 是一本学术期刊。本页汇总该期刊的最新影响因子、分区信息以及最新收录于 PubMed 的文献,帮助您快速了解期刊全貌。

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历年影响因子趋势

KNOWLEDGE-BASED SYSTEMS 最新收录文献

※ 中文译文由 AI 辅助生成,仅供学术参考,请以英文原文为准。

1. MVGFormer: Multi-view perspective with graph-guided transformer for cryo-ET segmentation.
   Haoran Li, Xingjian Li, Huan Wang, Jiahua Shi, Huaming Chen, Yizhou Zhao
   Knowledge-based systems 2026 IF: 8.00 Q1 PMID: 41959693

   Cryo-Electron Tomography (cryo-ET) is a cutting-edge 3D imaging technology that enables detailed examination of biological macromolecular structures at near-atomic resolution. Recent deep learning app…

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2. HeteroKGRep: Heterogeneous Knowledge Graph based Drug Repositioning. HeteroKGRep：基于异构知识图的药物重新定位
   Ribot Fleury T Ceskoutsé, Alain Bertrand Bomgni, David R Gnimpieba Zanfack, Diing D M Agany, Bouetou Bouetou Thomas, Etienne Gnimpieba Zohim
   Knowledge-based systems 2024 IF: 8.00 Q1 PMID: 39610660

   The process of developing new drugs is both time-consuming and costly, often taking over a decade and billions of dollars to obtain regulatory approval. Additionally, the complexity of patent protecti…

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3. Temporal dynamics unleashed: Elevating variational graph attention.
   Soheila Molaei, Ghazaleh Niknam, Ghadeer O Ghosheh, Vinod Kumar Chauhan, Hadi Zare, Tingting Zhu
   Knowledge-based systems 2024 IF: 8.00 Q1 PMID: 39474470

   This research introduces the Variational Graph Attention Dynamics (VarGATDyn), addressing the complexities of dynamic graph representation learning, where existing models, tailored for static graphs, …

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4. Global and Local Similarity Learning in Multi-Kernel Space for Nonnegative Matrix Factorization.
   Chong Peng, Xingrong Hou, Yongyong Chen, Zhao Kang, Chenglizhao Chen, Qiang Cheng
   Knowledge-based systems 2023 IF: 8.00 Q1 PMID: 39990856

   Most of existing nonnegative matrix factorization (NMF) methods do not fully exploit global and local similarity information from data. In this paper, we propose a novel local similarity learning appr…

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5. Medical Image Retrieval via Nearest Neighbor Search on Pre-trained Image Features.
   Deepak Gupta, Russell Loane, Soumya Gayen, Dina Demner-Fushman
   Knowledge-based systems 2023 IF: 8.00 Q1 PMID: 37780058

   Nearest neighbor search, also known as NNS, is a technique used to locate the points in a high-dimensional space closest to a given query point. This technique has multiple applications in medicine, s…

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6. Towards COVID-19 fake news detection using transformer-based models.
   Jawaher Alghamdi, Yuqing Lin, Suhuai Luo
   Knowledge-based systems 2023 IF: 8.00 Q1 PMID: 37250528

   The COVID-19 pandemic has resulted in a surge of fake news, creating public health risks. However, developing an effective way to detect such news is challenging, especially when published news involv…

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7. Cross-platform privacy-preserving CT image COVID-19 diagnosis based on source-free domain adaptation.
   Yuanyi Feng, Yuemei Luo, Jianfei Yang
   Knowledge-based systems 2023 IF: 8.00 Q1 PMID: 36713615

   In the wake of the Coronavirus disease (COVID-19) pandemic, chest computed tomography (CT) has become an invaluable component in the rapid and accurate detection of COVID-19. CT scans traditionally re…

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8. Preserving bilateral view structural information for subspace clustering.
   Chong Peng, Jing Zhang, Yongyong Chen, Xin Xing, Chenglizhao Chen, Zhao Kang
   Knowledge-based systems 2022 IF: 8.00 Q1 PMID: 40799802

   Subspace clustering algorithms have been found successful in various applications that involve two-dimensional data, i.e., each example of the data is a matrix. However, most of the existing methods t…

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9. BND-VGG-19: A deep learning algorithm for COVID-19 identification utilizing X-ray images.
   Zili Cao, Junjian Huang, Xing He, Zhaowen Zong
   Knowledge-based systems 2022 IF: 8.00 Q1 PMID: 36284666

   During the past two years, a highly infectious virus known as COVID-19 has been damaging and harming the health of people all over the world. Simultaneously, the number of patients is rising in variou…

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10. Ambient air pollutants concentration prediction during the COVID-19: A method based on transfer learning.
    Shuixia Chen, Zeshui Xu, Xinxin Wang, Chenxi Zhang
    Knowledge-based systems 2022 IF: 8.00 Q1 PMID: 36277675

    Research on the correlation analysis between COVID-19 and air pollution has attracted increasing attention since the COVID-19 pandemic. While many relevant issues have been widely studied, research in…

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