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AntiPhishStack: LSTM-based Stacked Generalization Model for Optimized Phishing URL Detection
In Phase I, features are trained on a base machine learning classifier, employing K-fold cross-validation for robust mean prediction.
CLiF-VQA: Enhancing Video Quality Assessment by Incorporating High-Level Semantic Information related to Human Feelings
In this paper, we propose CLiF-VQA, which considers both features related to human feelings and spatial features of videos.
Hierarchical Interactive Reconstruction Network For Video Compressive Sensing
Deep network-based image and video Compressive Sensing(CS) has attracted increasing attentions in recent years.
Improving Knowledge Graph Representation Learning by Structure Contextual Pre-training
Representation learning models for Knowledge Graphs (KG) have proven to be effective in encoding structural information and performing reasoning over KGs.
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