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Analysis and Synthesis of Theoretical and Practical Implications of Case Management Model and Notation
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Quantum key distribution as a quantum machine learning task
Published 2025-08-01“…QKD protocols are well understood and solid security proofs exist enabling an easy evaluation of the QML model performance. The power of easy-to-implement QML techniques is shown by finding the explicit circuit for optimal individual attacks in a noise-free setting. …”
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Hand-aware graph convolution network for skeleton-based sign language recognition
Published 2025-01-01“…With the aim to further improve the performance, the joints information, bones, together with their motion information are simultaneously modeled in a multi-stream framework. …”
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A Grouping Hotel Recommender System Based on Deep Learning and Sentiment Analysis
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Remote sensing image super-resolution via cross-scale hierarchical transformer
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108
A Semantically Enhanced Label Prediction Method for Imbalanced POI Data Category Distribution
Published 2024-10-01“…Simultaneously, POI data labels are introduced to provide explicit semantic information, and the semantic relationship between POI data labels and their names is determined using cross-coding. …”
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Legal text summarization via judicial syllogism with large language models
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Conformal deep forest for uncertainty-aware classification
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Systematic Review of Augmented Reality Applications in Wayang Heritage Preservation
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BGNER: A boundary guidance framework for enhanced named entity recognition
Published 2025-06-01“…However, these approaches often fail to fully leverage boundary information, as they classify spans independently without explicitly incorporating the context immediately outside the span boundaries. …”
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A Deep Learning Framework for Enhancing Recommender Systems With Dual-Feedback Integration
Published 2025-01-01“…Traditional CF approaches often struggle with sparsity, necessitating the development of hybrid methods that integrate both explicit and implicit feedback to enhance performance. …”
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DREAM3: network inference using dynamic context likelihood of relatedness and the inferelator.
Published 2010-03-01“…<h4>Methodology</h4>We aim to investigate whether scalable information based methods (like the Context Likelihood of Relatedness method) and more explicit dynamical models (like Inferelator 1.0) prove synergistic when combined. …”
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Character-Level Adversarial Samples Generation Method Based on Dual-Layer Text Watermark
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The Pricing and Hedging of an Attainable Claim in a Hybrid Black–Scholes Model under Regime Switching
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