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Found 5 papers, 1 papers with code
Building RadiologyNET: Unsupervised annotation of a large-scale multimodal medical database
Results: The optimal feature extractors are then integrated into a multimodal representation, which is then clustered to create an automated pipeline for labelling a precursor dataset of 1, 337, 926 medical images into 50 clusters of visually similar images.
ML-Based Approach for NFL Defensive Pass Interference Prediction Using GPS Tracking Data
The work presented here is the first attempt in predicting DPI using player tracking GPS data.
Deep embedded clustering algorithm for clustering PACS repositories
This, however, requires an efficient method for learning latent image representations.
Intra-domain and cross-domain transfer learning for time series data -- How transferable are the features?
The general conclusion of our study is that transfer learning is very likely to either increase or not negatively affect the predictive performance of the model or its convergence rate.
Rapid Prediction of Earthquake Ground Shaking Intensity Using Raw Waveform Data and a Convolutional Neural Network
We find that the CNN is capable of predicting accurately the IMs at stations far from the epicenter and that have not yet recorded the maximum ground shaking when using a 10 s window starting at the earthquake origin time.
Geophysics
