2 code implementations • 19 Jul 2019 • Shusen Liu, Di Wang, Dan Maljovec, Rushil Anirudh, Jayaraman J. Thiagarajan, Sam Ade Jacobs, Brian C. Van Essen, David Hysom, Jae-Seung Yeom, Jim Gaffney, Luc Peterson, Peter B. Robinson, Harsh Bhatia, Valerio Pascucci, Brian K. Spears, Peer-Timo Bremer
With the rapid adoption of machine learning techniques for large-scale applications in science and engineering comes the convergence of two grand challenges in visualization.
no code implementations • 30 Jan 2019 • Ya Ju Fan, Jonathan E. Allen, Sam Ade Jacobs, Brian C. Van Essen
With the trained autoencoder, we generate latent representations of a small dataset, containing pairs of normal and cancer cells of various tumor types.
no code implementations • 7 Feb 2018 • Md Zahangir Alom, Adam T Moody, Naoya Maruyama, Brian C. Van Essen, Tarek M. Taha
These proposed approaches are evaluated on different datasets for sentiment analysis on IMDB and video frame predictions on the moving MNIST dataset.