IDEALS (Improving Data Exploration and Analysis at Large Scale)
Publications:
Juliette Franzman, "Understanding the Effects of Tapering on Gaussian Process Regression," student poster, Student and Post-Doc Poster Session, Conference on Data Analysis, February 25-27, 2020, Santa Fe, New Mexico.
Ravi Brannon Ponmalai, "Self-Organizing Maps and Their Applications to Data Analysis," student poster, Student and Post-Doc Poster Session, Conference on Data Analysis, February 25-27, 2020, Santa Fe, New Mexico. Honorable Mention.
Chandrika Kamath, "Building High-Density, Additively-Manufactured Metal Parts - A Retrospective Look From a Data Analysis Perspective", invited presentation, Conference on Data Analysis, February 25-27, 2020, Santa Fe, New Mexico.
C. Kamath, "Compressing unstructured mesh data from simulations using machine learning," International Journal of Data Science and Analytics, Volume 9, pp 113-130, 2020. https://doi.org/10.1007/s41060-019-00180-6
Chandrika Kamath,"Intelligent Exploration of Large-Scale Data: What Can We Learn in Two Passes?," Proceedings, IEEE International Conference on Big Data, pp 1831-1840, Los Angeles, CA, December 2019. https://doi.org/10.1109/BigData47090.2019.9006272