acolyte
发表于 2025-3-25 05:35:42
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TRUST
发表于 2025-3-25 10:24:54
VulCausal: Robust Vulnerability Detection Using Neural Network Models from a Causal Perspectiveization and handling real-world samples. These challenges are frequently attributed to dataset distribution shift, such as spurious correlations. While previous research has explored spurious correlations in other tasks, such as text classification and function naming, vulnerability detection has ye
ALT
发表于 2025-3-25 14:38:21
LLM-Driven Ontology Learning to Augment Student Performance Analysis in Higher Education formulation of educational knowledge concepts, student behaviors, and their relations. Traditional ontology creation requires deep domain knowledge and significant manual effort. However, advancements in Large Language Models (LLMs) have offered a novel opportunity to automate and refine this proce
大门在汇总
发表于 2025-3-25 18:59:50
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外貌
发表于 2025-3-25 22:19:28
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尊敬
发表于 2025-3-26 01:24:11
GC-DAWMAR: A Global-Local Framework for Long-Term Time Series Forecasting solutions for distribution shift, excessive stationarization, and overfitting caused by training noise. Global convolution and de-stationary autocorrelation are used in GC-DAWMAR, a long-term time series forecasting approach, to address these issues. The global-local architecture maintains translat
蜿蜒而流
发表于 2025-3-26 04:53:49
An Improved YOLOv7 Based Prohibited Item Detection Model in X-Ray Imagesd YOLOv7 based object detection model is proposed. Firstly, within the Extended Efficient Layer Aggregation Network (E-ELAN) module, the Omni-Dimensional Dynamic Convolution (ODConv), which utilizes a combination of multiple attention mechanisms to enhance the network’s sensitivity to feature extrac
昏暗
发表于 2025-3-26 11:59:17
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残废的火焰
发表于 2025-3-26 14:00:27
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commensurate
发表于 2025-3-26 17:39:48
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