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Found 3 papers, 1 papers with code
Deep Stock Predictions
Forecasting stock prices can be interpreted as a time series prediction problem, for which Long Short Term Memory (LSTM) neural networks are often used due to their architecture specifically built to solve such problems.
Relevance Prediction from Eye-movements Using Semi-interpretable Convolutional Neural Networks
The trained classifier is used to predict participants' perceived-relevance of news articles from the corresponding scanpath images.
Identifying Land Patterns from Satellite Imagery in Amazon Rainforest using Deep Learning
The Amazon rainforests have been suffering widespread damage, both via natural and artificial means.
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