Machine Learning Methods in Visualisation for Big Data 2020




Archambault, Daniel; Nabney, Ian; Peltonen, Jaakko
MLVis 2020: Frontmatter


Ventocilla, Elio Alejandro; Martins, Rafael M.; Paulovich, Fernando V.; Riveiro, Maria
Progressive Multidimensional Projections: A Process Model based on Vector Quantization


Schlegel, Udo; Cakmak, Eren; Keim, Daniel A.
ModelSpeX: Model Specification Using Explainable Artificial Intelligence Methods


Jönsson, Daniel; Eilertsen, Gabriel; Shi, Hezi; Zheng, Jianmin; Ynnerman, Anders; Unger, Jonas
Visual Analysis of the Impact of Neural Network Hyper-Parameters


Thrun, Michael C.
Improving the Sensitivity of Statistical Testing for Clusterability with Mirrored-Density Plots


Grósz, Tamás; Kurimo, Mikko
Visual Interpretation of DNN-based Acoustic Models using Deep Autoencoders