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检索条件"机构=Data Science and Computing Group"
475 条 记 录,以下是11-20 订阅
排序:
A NOVEL RULE-BASED OVERSAMPLING APPROACH FOR IMBALANCED data CLASSIFICATION  37
A NOVEL RULE-BASED OVERSAMPLING APPROACH FOR IMBALANCED DATA...
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37th Annual European Simulation and Modelling Conference, ESM 2023
作者: Zhang, Xiao Paz, Iván Nebot, Àngela Soft Computing Research Group Intelligent Data Science and Artificial Intelligence Research Center Universitat Politècnica de Catalunya Barcelona Spain
When confronted with imbalanced datasets, traditional classifiers frequently struggle to correctly categorize samples from the minority class, adversely impacting the overall predictive performance of machine learning... 详细信息
来源: 评论
Debate-to-Write: A Persona-Driven Multi-Agent Framework for Diverse Argument Generation  31
Debate-to-Write: A Persona-Driven Multi-Agent Framework for ...
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31st International Conference on Computational Linguistics, COLING 2025
作者: Hu, Zhe Chan, Hou Pong Li, Jing Yin, Yu Department of Computing The Hong Kong Polytechnic University Hong Kong DAMO Academy Alibaba Group China Research Centre for Data Science & Artificial Intelligence Hong Kong Department of Computer and Data Sciences Case Western Reserve University United States
Writing arguments is a challenging task for both humans and machines. It entails incorporating high-level beliefs from various perspectives on the topic, along with deliberate reasoning and planning to construct a coh... 详细信息
来源: 评论
Topological Identification of Agent Status in Information Contagions: Application to Financial Markets
arXiv
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arXiv 2024年
作者: Goel, Anubha Hansen, Henri Kanniainen, Juho Computing Science/Financial Computing and Data Analytics Group Tampere University Tampere33720 Finland
Cascade models serve as effective tools for understanding the propagation of information and diseases within social networks. Nevertheless, their applicability becomes constrained when the states of the agents (nodes)...
来源: 评论
Q-Rung Orthopair Fuzzy Sets-Enhanced FMEA for COVID-19 Risk Assessment
Informatica (Slovenia)
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Informatica (Slovenia) 2025年 第1期49卷 81-92页
作者: Abdullah, Lazim Awang, Noor Azzah Qiyas, Muhammad Special Interest Group of Modelling and Data Analytics Faculty of Computer Science and Mathematics Universiti Malaysia Terengganu Kuala Nerus21030 Malaysia College of Computing Informatics and Mathematics Universiti Teknologi MARA Selangor Shah Alam40450 Malaysia Department of Mathematics Riphah International University Failsabad Campus Pakistan
Failure Modes and Effects Analysis (FMEA) is a widely used tool for risk analysis, primarily to identify risk factors affecting system quality. Due to the limitations of the traditional FMEA model, several recent mode... 详细信息
来源: 评论
CONTINUAL LEARNING WITH EMBEDDING LAYER SURGERY AND TASK-WISE BEAM SEARCH USING WHISPER
arXiv
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arXiv 2025年
作者: Kwok, Chin Yuen Yip, Jia Qi Chng, Eng Siong College of Computing and Data Science Nanyang Technological University Singapore Alibaba Group Singapore
Current Multilingual ASR models only support a fraction of the world’s languages. Continual Learning (CL) aims to tackle this problem by adding new languages to pre-trained models while avoiding the loss of performan... 详细信息
来源: 评论
Energy Theft Detection in Smart Grids with Genetic Algorithm-Based Feature Selection
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Computers, Materials & Continua 2023年 第3期74卷 5431-5446页
作者: Muhammad Umair Zafar Saeed Faisal Saeed Hiba Ishtiaq Muhammad Zubair Hala Abdel Hameed Faculty of Information Technology University of Central PunjabLahore54590Pakistan DAAI Research Group Department of Computing and Data ScienceSchool of Computing and Digital TechnologyBirmingham City UniversityBirmingham B47XGUK Faculty of Computer and Information Systems Fayoum University63514Egypt Khaybar Applied College Taibah UniversitySaudi Arabia
As big data,its technologies,and application continue to advance,the Smart Grid(SG)has become one of the most successful pervasive and fixed computing platforms that efficiently uses a data-driven approach and employs... 详细信息
来源: 评论
Transformer as a hippocampal memory consolidation model based on NMDAR-inspired nonlinearity  23
Transformer as a hippocampal memory consolidation model base...
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Proceedings of the 37th International Conference on Neural Information Processing Systems
作者: Dong-Kyum Kim Jea Kwon Meeyoung Cha C. Justin Lee IBS Data Science Group IBS Center for Cognition and Sociality IBS Data Science Group and KAIST School of Computing
The hippocampus plays a critical role in learning, memory, and spatial representation, processes that depend on the NMDA receptor (NMDAR). Inspired by recent findings that compare deep learning models to the hippocamp...
来源: 评论
Machine learning approach to identity resolution for criminal profiling
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Journal of Cyber Security Technology 2025年
作者: Kazemian, Hassan Shrestha, Subeksha AI and Data Science Research Group School of Computing and Digital Media London Metropolitan University London United Kingdom
A common dilemma when working on criminal data is that often people manipulate their details to disguise themselves and hide their identities which leads to creating ambiguous and false identities. Deep Neural Network... 详细信息
来源: 评论
dataset of Quotation Attribution in German News Articles
arXiv
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arXiv 2024年
作者: Petersen-Frey, Fynn Biemann, Chris House of Computing and Data Science Language Technology Group Universität Hamburg Germany
Extracting who says what to whom is a crucial part in analyzing human communication in today’s abundance of data such as online news articles. Yet, the lack of annotated data for this task in German news articles sev...
来源: 评论
Continual Learning With Embedding Layer Surgery and Task-Wise Beam Search Using Whisper
Continual Learning With Embedding Layer Surgery and Task-Wis...
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IEEE Spoken Language Technology Workshop
作者: Chin Yuen Kwok Jia Qi Yip Eng Siong Chng College of Computing and Data Science Nanyang Technological University Singapore Alibaba Group Singapore
Current Multilingual ASR models only support a fraction of the world’s languages. Continual Learning (CL) aims to tackle this problem by adding new languages to pre-trained models while avoiding the loss of performan... 详细信息
来源: 评论