The IMAS makes use of an oversampling strategy that operates on multimodal data, namely using text, numeric, categorical, and boolean data types, which allows for the determination of the features that are the most relevant and adapts the weights used according to that information when performing inference. [Link to the paper](https://doi.org/10.3390/math11010113)
Imbalanced Multimodal Attention-Based System for Multiclass House Price Prediction
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