Paper-Conference

Urban Traffic Flow Forecasting Based on Memory Time-Series Network
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A Novel Image Captioning Method Based on Generative Adversarial Networks
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Time Series Traffic Prediction via Hybrid Neural Networks
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Velocity Coordination of Multi-vehicle Systems via Distributed Neighbor Selection
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A Hard Real-time Scheduler for Spark on YARN
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A Recurrent Neural Network Language Model Based on Word Embedding
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A Study on Performance Sensitivity to Data Sparsity for Automated Essay Scoring
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Game-Based Traffic Signal Control with Adaptive Routing via V2I
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Long-Term Recurrent Merge Network Model for Image Captioning
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NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval
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