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3rd MLVis@Eurographics/EuroVis 2020: Norrköping, Sweden

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Daniel Archambault, Ian T. Nabney, Jaakko Peltonen:
3rd Workshop on Machine Learning Methods in Visualisation for Big Data, MLVis@Eurographics/EuroVis 2020, Norrköping, Sweden, May 25, 2020 [online only]. Eurographics Association 2020, ISBN 978-3-03868-113-7

Papers

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Elio Alejandro Ventocilla, Rafael Messias Martins, Fernando V. Paulovich, Maria Riveiro:
Progressive Multidimensional Projections: A Process Model based on Vector Quantization. 1-5
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Udo Schlegel, Eren Cakmak, Daniel A. Keim:
ModelSpeX: Model Specification Using Explainable Artificial Intelligence Methods. 7-11
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Daniel Jönsson, Gabriel Eilertsen, Hezi Shi, Jianmin Zheng, Anders Ynnerman, Jonas Unger:
Visual Analysis of the Impact of Neural Network Hyper-Parameters. 13-17
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Michael C. Thrun:
Improving the Sensitivity of Statistical Testing for Clusterability with Mirrored-Density Plots. 19-23
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Tamás Grósz, Mikko Kurimo:
Visual Interpretation of DNN-based Acoustic Models using Deep Autoencoders. 25-29

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