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Found 3 papers, 2 papers with code
A Clustering Method with Graph Maximum Decoding Information
Despite its efficacy, the current clustering method utilizing the graph-based model overlooks the uncertainty associated with random walk access between nodes and the embedded structural information in the data.
Condition Assessment of Stay Cables through Enhanced Time Series Classification Using a Deep Learning Approach
A deep learning model, long short term memory fully convolutional network (LSTM-FCN), is leveraged by assigning appropriate inputs and representative class labels for the TSC problem, First, a TSC classifier is trained and validated using the data collected under intact conditions of stay cables, setting the segmented data series as input and the cable (or cable pair) ID as class labels.
Visual Natural Language Query Auto-Completion for Estimating Instance Probabilities
Given the complete query, we fine tune a BERT embedding for estimating probabilities of a broad set of instances.
