If you've worked in systems engineering long enough, you've encountered the debate: is the separation between Functional, Logical, and Physical architecture a real, necessary step in system design, or ...

Machine learning (ML) has increased greatly in both popularity and significance, driven by an increase in methods, computing power and data availability 1, making it an useful tool in the development ...

treehfd is a Python module to compute the Hoeffding functional decomposition of XGBoost models (Chen and Guestrin, 2016) with dependent input variables, using the TreeHFD algorithm. This decomposition ...

This paper explores an alternative way for analyzing static Functional Connectivity (FC) in functional Magnetic Resonance Imaging (fMRI) data across multiple timescales using a class of adaptive ...

This paper explores the integration of Artificial Intelligence (AI) large language models to empower the Python programming course for junior undergraduate students in the electronic information ...

These images come pre-configured with all necessary dependencies to run the functional network QA pipeline. Simply pull the image and start processing your data with minimal setup. Traditional ...

This article presents important results describing how the gathering, integration, and broadcasting of information in the brain changes when consciousness is lost either through anesthesia or injury.

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Which learning goals must individual computational elements pursue to contribute to a network-level task solution? This local understanding is missing in both biological, but also artificial neural ...