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Heterogeneous Network-Based Chronic Disease Progression Mining
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Deep Sequential Model for Anchor Recommendation on Live Streaming Platforms
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Towards Understanding the Security of Modern Image Captchas and Underground Captcha-Solving Services
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Clinical Big Data and Deep Learning: Applications, Challenges, and Future Outlooks
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Improvement in Automated Diagnosis of Soft Tissues Tumors Using Machine Learning
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ZenLDA: Large-Scale Topic Model Training on Distributed Data-Parallel Platform
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A Semi-Supervised Attention Model for Identifying Authentic Sneakers
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Relation Classification via Recurrent Neural Network with Attention and Tensor Layers
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Spreading Social Influence with both Positive and Negative Opinions in Online Networks
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HPPQ: A Parallel Package Queries Processing Approach for Large-Scale Data
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DFF-ResNet: An Insect Pest Recognition Model Based on Residual Networks
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Online Real-Time Trajectory Analysis Based on Adaptive Time Interval Clustering Algorithm
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LoSI: Large Scale Location Inference Through FM Signal Integration and Estimation
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Hybrid Recommender System for Tourism Based on Big Data and AI: A Conceptual Framework
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Evaluation of the Chetomin effect on histopathological features in a murine acute spinal cord injury model
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780
Selective Ensemble Learning Method for Belief-Rule-Base Classification System Based on PAES
Published 2019-12-01“…In the base classifier selection stage, the trained base classifier is binary coded, and the number of base classifiers participating in integration and generalization error of the base classifier is used as the objective function for multi-objective optimization. …”
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