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LLMs Have Rhythm: Fingerprinting Large Language Models Using Inter-Token Times and Network Traffic Analysis
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Deep Learning and Methods Based on Large Language Models Applied to Stellar Light Curve Classification
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Fast Global and Local Semi-Supervised Learning via Matrix Factorization
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Job recommender systems: a systematic literature review, applications, open issues, and challenges
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Client Selection in Federated Learning on Resource-Constrained Devices: A Game Theory Approach
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Remote Sensing Estimation of CDOM for Songhua River of China: Distributions and Implications
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Multi-label Classification Based on Label-Aware Variational Autoencoder
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SPPMFN: Efficient Multimodal Financial Time-Series Prediction Network With Self-Supervised Learning
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Research on artificial intelligence-driven container relocation problem for green ports
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