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Rui Zhao
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Probabilistic Transfer Factor Analysis for Machinery Autonomous Diagnosis Cross Various Operating Conditions
Deep learning and its applications to machine health monitoring
Multi-level information fusion for induction motor fault diagnosis
Building occupancy estimation with environmental sensors via CDBLSTM
Convolutional discriminative feature learning for induction motor fault diagnosis
Fuzzy bag-of-words model for document representation
Machine health monitoring using local feature-based gated recurrent unit networks
A new probabilistic kernel factor analysis for multisensory data fusion: application to tool condition monitoring
Cyberbullying detection based on semantic-enhanced marginalized denoising auto-encoder
Multiview convolutional neural networks for multidocument extractive summarization
Topic-aware deep compositional models for sentence classification
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