Skip to main content
high contrast version
menu

Web Content Display Web Content Display

Web Content Display Web Content Display

Virtual Reality-Based Parallel Coordinates Plots Enhanced with Explainable AI and Data-Science Analytics for Decision-Making Processes

Virtual Reality-Based Parallel Coordinates Plots Enhanced with Explainable AI and Data-Science Analytics for Decision-Making Processes

Members of JAHCAI - Szymon Bobek and Grzegorz J. Nalepa - published a paper with group of researchers from Cambridge University.

The authors published results on their work on refining the Immersive Parallel Coordinates Plots (IPCP) system for Virtual Reality (VR). Through the use of data-science analytics, together with clustering algorithms (incl. a Subspace Memory Clustering [SMC] solution), they managed to automate a part of analytical work of IPCP, which earlier required engagement of a human expert. The system is tested on sample datasets representing optimum solutions of two different multi-objective optimization studies in turbomachinery.

If you are interested, you are welcome to read the article (published in Open Access), under this link.

Recommended
Comparing Explanations from Glass-Box and Black-Box Machine-Learning Models

Comparing Explanations from Glass-Box and Black-Box Machine-Learning Models

Anomaly Detection in Asset Degradation Process Using Variational Autoencoder and Explanations

Anomaly Detection in Asset Degradation Process Using Variational Autoencoder and Explanations