Abstract: Automatic Modulation Classification (AMC) is a pivotal task for cognitive and intelligent communication systems. Existing AMC methods predominantly rely on centralized deep learning, ...
Abstract: Multi-graph (MG) is a representation model of the bag-of-graphs. Semi-supervised multi-graph classification aims to build models for predicting the class labels of multi-graphs with unknown ...
Implementation of the Vinehealth application, a digital health tool, into the care of patients living with brain cancer. This is an ASCO Meeting Abstract from the 2021 ASCO Annual Meeting I. This ...
This jupyter notebook tutorial is meant to be a general introduction to machine and deep learning. We use seismic time series data from i) real earthquakes and ii) nuisance signals to train a suite of ...
The plugin integrates an Explainable AI (XAI) component that shows users why a URL was classified a certain way by highlighting the most influential features.
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