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Found 8 papers, 0 papers with code
Analytics and Machine Learning in Vehicle Routing Research
The Vehicle Routing Problem (VRP) is one of the most intensively studied combinatorial optimisation problems for which numerous models and algorithms have been proposed.
Retrieving and ranking short medical questions with two stages neural matching model
Internet hospital is a rising business thanks to recent advances in mobile web technology and high demand of health care services.
Learning Regular Expressions for Interpretable Medical Text Classification Using a Pool-based Simulated Annealing and Word-vector Models
In this paper, we propose a rule-based engine composed of high quality and interpretable regular expressions for medical text classification.
Accurate Human Gesture Sensing With Coarse-Grained RF Signatures
RF-based gesture sensing and recognition has increasingly attracted intense academic and industrial interest due to its various device-free applications in daily life, such as elder monitoring, mobile games.
Augmenting C. elegans Microscopic Dataset for Accelerated Pattern Recognition
The detection of cell shape changes in 3D time-lapse images of complex tissues is an important task.
Collaborative Multi-modal deep learning for the personalized product retrieval in Facebook Marketplace
Building the recommendation system for Facebook Marketplace is challenging for two reasons: 1) Scalability: the number of products in Facebook Marketplace is huge.
Attribute-Enhanced Face Recognition With Neural Tensor Fusion Networks
To solve this problem, we establish a theoretical equivalence between tensor optimisation and a two-stream gated neural network.
Story-Driven Summarization for Egocentric Video
We present a video summarization approach that discovers the story of an egocentric video.
