CompRestacking: Capturing Channel Dependency in Highly Correlated Multivariate Time Series Data (Student Abstract)

Min Kim, Ohyun Jo. CompRestacking: Capturing Channel Dependency in Highly Correlated Multivariate Time Series Data (Student Abstract). In Sven Koenig, Chad Jenkins, Matthew E. Taylor, editors, Fortieth AAAI Conference on Artificial Intelligence, Thirty-Eighth Conference on Innovative Applications of Artificial Intelligence, Sixteenth Symposium on Educational Advances in Artificial Intelligence, AAAI 2026, Singapore, January 20-27, 2026. pages 41239-41241, AAAI Press, 2026. [doi]

Abstract

Abstract is missing.