IPAM Talk on Constrained Multimodal Data Mining

At the IPAM Workshop on Explainable AI for the Sciences: Towards Novel Insights, Evrim Acar presented the modeling and algorithmic developments in terms of formulating multimodal data mining methods based on coupled matrix and tensor factorizations as well as some of the TrACEr applications in omics data analysis and neuroscience.

See her talk for the recent updates from the project.