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Interpreting Deep Learning Model Using Rule-based Method
Deep learning models are favored in many research and industry areas and...
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Detecting and Recovering Adversarial Examples: An Input Sensitivity Guided Method
Deep neural networks undergo rapid development and achieve notable succe...
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Empowering A* Search Algorithms with Neural Networks for Personalized Route Recommendation
Personalized Route Recommendation (PRR) aims to generate user-specific r...
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Decision Making with Machine Learning and ROC Curves
The Receiver Operating Characteristic (ROC) curve is a representation of...
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Understanding Urban Dynamics via Context-aware Tensor Factorization with Neighboring Regularization
Recent years have witnessed the world-wide emergence of mega-metropolise...
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SVM-based Deep Stacking Networks
The deep network model, with the majority built on neural networks, has ...
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Multilevel Wavelet Decomposition Network for Interpretable Time Series Analysis
Recent years have witnessed the unprecedented rising of time series from...
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CD-CNN: A Partially Supervised Cross-Domain Deep Learning Model or Urban Resident Recognition
Driven by the wave of urbanization in recent decades, the research topic...
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