开始发作
发表于 2025-3-23 11:37:00
LinkEE: Linked List Based Event Extraction with Attention Mechanism for Overlapping Events information. Bi-directional feature information of the input is learned through Bi-LSTM, while contextual information is captured by Hydra attention to enhance the text vector representation. Experimental results on the public dataset FewFC illustrate that the proposed model LinkEE is superior to previous methods.
MARS
发表于 2025-3-23 14:05:25
1865-0929 he 20 full papers included in this volume were carefully reviewed and selected from 56 submissions. The volume is divided in topical sections that cover the following topics: data mining and machine learning, complex systems modeling, decision analysis and knowledge management, opinion mining and kn
Lethargic
发表于 2025-3-23 19:39:31
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aggrieve
发表于 2025-3-24 01:50:46
A Hybrid Supervised Learning Approach for Intrusion Detection Systemslgorithms. This framework integrates decision trees (DT), random forests (RF), extra trees (ET), and extreme gradient boosting (XGBoost) methods to identify network attacks. Through experimental evaluation on the Edge-IIoTset dataset, the system demonstrates solid performance by effectively and accu
Pantry
发表于 2025-3-24 04:34:59
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土产
发表于 2025-3-24 07:16:44
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做事过头
发表于 2025-3-24 12:17:58
Chinese Medicinal Materials Price Index Trend Prediction Using GA-XGBoost Feature Selection and Bidised model obtained more superior prediction compared to the state-of-the-art methods, and specialized in predicting long-term goal (90 days). Results also show the weather and air quality data can improve the prediction performance.
感情脆弱
发表于 2025-3-24 15:13:57
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不愿
发表于 2025-3-24 19:51:54
Research on the Behavioral Characteristics and Performance Influence Factors of Venture Capitalists mpetition, the positive impact or insignificant impact of Resource Limitation, Resource Adequacy, Resource Uniqueness, Industry Diversity and Regional Diversity on investment performance gradually turns negative.
全面
发表于 2025-3-25 02:59:09
Social Capital, Market Motivation and Knowledge Sharing: A Multiplex Network Perspective on Blockchaial capital on knowledge-sharing behavior. The research findings enrich the understanding of the factors that influence users’ knowledge-sharing behavior and provide important insights for how BKC can effectively incentivize users to make sustained contributions.