An Interpretable Adaptive Multiscale Attention Deep Neural Network for Tabular Data

1 code implementation • IEEE Transactions on Neural Networks and Learning Systems 2024 • Vincenzo Dentamaro, Paolo Giglio, Donato Impedovo, Giuseppe Pirlo, Marco Di Ciano

Deep learning (DL) has been demonstrated to be a valuable tool for analyzing signals such as sounds and images, thanks to its capabilities of automatically extracting relevant patterns as well as its end-to-end training properties.

feature selection