<ul><li>Multimodal deep learning models have been successful in fusing text and imagery data.</li><li>However, there are fewer models that attempt to fuse time series data with text, imagery, and audio.</li><li>The fusion of time series data with other modalities has practical applications in various industries.</li><li>Examples include forecasting river flow using historical data and satellite imagery, predicting patient mortality using vitals, imaging data, and doctor's notes, and forecasting product sales.</li></ul>

Multimodal Deep Learning for Time Series Forecasting, Classification, and Analysis

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