计算机科学
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全部论文审稿周期
20 篇有效样本 · 按发表日期由新到旧排列
审稿天数=录用日期-收稿日期;保留 PDF/DOI/网页源链接
Biomedical Information Retrieval with Positive-Unlabeled Learning and Knowledge Graphs
作者Yuqi Wang; Qiuyi Chen; Haiyang Zhang; Wei Wang; Qiufeng Wang; Yushan Pan; Liangru Xie; Kaizhu Huang; Anh Nguyen
作者单位1. Xi’an Jiaotong Liverpool University, Suzhou, China; 2. Xidian University, Xi’an, China; 3. Duke Kunshan University, Kunshan, China; 4. University of Liverpool, Liverpool, UK
Adaptive Prototype Aggregation for Continual Learning on Physiological Data under Cross-Subject Variability
作者Adnan Ahmad; Bahareh Nakisa; Mohammad Naim Rastgoo
作者单位1. School of Information Technology, Deakin University, Waurn Ponds, Australia; 2. Faculty of Information Technology, Monash University, Melbourne, Australia
A GPT-assisted Multi-Granularity Contrastive Learning Approach for Knowledge Graph Entity Typing
作者Hongbin Zhang; Tao Wang; Zhuowei Wang; Nankai Lin; Chong Chen; Lianglun Cheng
作者单位1. Guangdong University of Technology, Guangzhou, China; 2. Guangdong University of Foreign Studies, Guangzhou, China
AEKG4APT: An AI-Enhanced Knowledge Graph for Advanced Persistent Threats with Large Language Model Analysis
作者Yinghai Zhou; Ziyu Wang; Yunxin Jiang; Bingqi Ma; Rui Wang; Yuan Liu; Yue Zhao; Zhihong Tian
作者单位1. Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou, China, and Guangdong Key Laboratory of Industrial Control System Security, and Huangpu Research School of Guangzhou University, Guangzhou, China; 2. Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou, China and Huangpu Research School of Guangzhou University, Guangzhou, China; 3. National Key Laboratory of Security Communication, Chengdu, China
Exploring Large Language Models for Scientific Question Answering via Natural Language to SPARQL Translation
作者Antonello Meloni; Diego Reforgiato Recupero; Francesco Osborne; Angelo Salatino; Enrico Motta; Sahar Vahdati; Jens Lehmann
作者单位1. Department of Mathematics and Computer Science, University of Cagliari, Cagliari, Italy; 2. Knowledge Media Institute, The Open University, United Kingdom and University of Milan-Bicocca, Milan, Italy; 3. Knowledge Media Institute, The Open University, Milton Keynes, United Kingdom; 4. ScaDS.AI - TU Dresden, Dresden, Germany; 5. ScaDS.AI - TU Dresden, Germany and Amazon, Dresden, Germany
MILES++: A Generalizable Clustering-Based Ensemble Framework for Multiclass Imbalanced Learning
作者Bayu Adhi Tama; Ali Azari; Vandana P. Janeja
作者单位1. iHARP, University of Maryland Baltimore County, Baltimore, Maryland, USA; 2. University of Maryland Baltimore County, Baltimore, Maryland, USA
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