SPM July 2022

In addition to the impressive predictive power of machine learning (ML) models, more recently, explanation methods have emerged that enable an…

In many modern data science problems, data are represented by a graph (network), e.g., social, biological, and communication networks. Over the past…

Data-driven solutions are playing an increasingly important role in numerous practical problems across multiple disciplines. The shift from the…

Most of the work we do in signal processing these days is data driven. The shift from the more traditional and model-driven approaches to those that…

The July issue of IEEE Signal Processing Magazine (SPM) is a special issue focused on “Explainability in Data Science: Interpretability,…