铲除 发表于 2025-3-21 18:10:48
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Say No2Ads: Automatic Advertisement and Music Filtering from Broadcast News Contentose ., an autoregressive deep convolutional neural network (CNN) model that is trained on over 500 h of human annotated training samples to remove ads and music from broadcast content. . reached very high performance results in our tests, achieving 97% and 95% in precision and recall on detecting ad灾祸 发表于 2025-3-22 17:34:35
Automatic Image Annotation Using Quantization Reweighting Function and Graph Neural Networksode in the graph, we use two methods of word embedding. We then use graph neural networks to extract graph features. From the graph and image features, we obtain our output vector (set of class probabilities). The proposed approach is evaluated using ., ., ., and . performance measures on two public浪荡子 发表于 2025-3-23 01:11:55
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Human-in-the-Loop Optimization for Artificial Intelligence Algorithms in prior research of a comparable scale. The proposed software can optimise and monitor the AI-powered product process and outputs to involve people directly in the optimisation loop to identify and avoid likely and diverse failures. The Local Interpretable Model-agnostic Explanations (LIME) heatmafixed-joint 发表于 2025-3-23 08:54:52
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