Machine Learning Methods in Visualisation for Big Data 2019
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Porto, Portugal 3 June 2019
Papers
On KDE-based Brushing in Scatterplots and how it Compares to CNN-based Brushing
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Interpreting Black-Box Semantic Segmentation Models in Remote Sensing Applications
Visual Analysis of Multivariate Urban Traffic Data Resorting to Local Principal Curves
Visual Ensemble Analysis to Study the Influence of Hyper-parameters on Training Deep Neural
Networks
Recent Submissions
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Visual Ensemble Analysis to Study the Influence of Hyper-parameters on Training Deep Neural Networks
(The Eurographics Association, 2019)A good deep neural network design allows for efficient training and high accuracy. The training step requires a suitable choice of several hyper-parameters. Limited knowledge exists on how the hyper-parameters impact the ... -
On KDE-based Brushing in Scatterplots and how it Compares to CNN-based Brushing
(The Eurographics Association, 2019)In this paper, we investigate to which degree the human should be involved into the model design and how good the empirical model can be with more careful design. To find out, we extended our previously published Mahalanobis ... -
Interpreting Black-Box Semantic Segmentation Models in Remote Sensing Applications
(The Eurographics Association, 2019)In the interpretability literature, attention is focused on understanding black-box classifiers, but many problems ranging from medicine through agriculture and crisis response in humanitarian aid are tackled by semantic ... -
Visual Analysis of Multivariate Urban Traffic Data Resorting to Local Principal Curves
(The Eurographics Association, 2019)Traffic congestion causes major economic, environmental and social problems in modern cities. We present an interactive visualization tool to assist domain experts on the identification and analysis of traffic patterns at ... -
MLVis 2019: Frontmatter
(The Eurographics Association, 2019)
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