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MLVis@EuroVis
2018
2023
2018
2023
Keyphrases
Publications
2023
MLVis 2023: Frontmatter.
MLVis@EuroVis
(2023)
Machine Learning Methods in Visualisation for Big Data 2023, MLVis@EuroVis 2023, Leipzig, Germany, June 12, 2023
MLVis@EuroVis
(2023)
Udo Schlegel
,
Daniel A. Keim
Interactive Dense Pixel Visualizations for Time Series and Model Attribution Explanations.
MLVis@EuroVis
(2023)
2022
Udo Schlegel
,
Samuel Schiegg
,
Daniel A. Keim
ViNNPruner: Visual Interactive Pruning for Deep Learning.
MLVis@EuroVis
(2022)
Raju Ningappa Mulawade
,
Christoph Garth
,
Alexander Wiebel
Saliency Clouds: Visual Analysis of Point Cloud-oriented Deep Neural Networks in DeepRL for Particle Physics.
MLVis@EuroVis
(2022)
Carlo Bredius
,
Zonglin Tian
,
Alexandru C. Telea
Visual Exploration of Neural Network Projection Stability.
MLVis@EuroVis
(2022)
Machine Learning Methods in Visualisation for Big Data 2022, MLVis@EuroVis 2022, Rome, Italy, June 13, 2022
MLVis@EuroVis
(2022)
MLVis 2022: Frontmatter.
MLVis@EuroVis
(2022)
2021
Natacha Galmiche
,
Helwig Hauser
,
Thomas Spengler
,
Clemens Spensberger
,
Morten Brun
,
Nello Blaser
Revealing Multimodality in Ensemble Weather Prediction.
MLVis@EuroVis
(2021)
4th Workshop on Machine Learning Methods in Visualisation for Big Data, MLVis@EuroVis 2021, Virtual Event, Switzerland, June 14, 2021
MLVis@EuroVis
(2021)
Jay Roberts
,
Theodoros Tsiligkaridis
Controllably Sparse Perturbations of Robust Classifiers for Explaining Predictions and Probing Learned Concepts.
MLVis@EuroVis
(2021)
2019
2nd Workshop on Machine Learning Methods in Visualisation for Big Data, MLVis@EuroVis 2019, Porto, Portugal, June 3, 2019
MLVis@EuroVis
(2019)
Carla Silva
,
Pedro M. d'Orey
,
Ana Aguiar
Visual Analysis of Multivariate Urban Traffic Data Resorting to Local Principal Curves.
MLVis@EuroVis
(2019)
Chaoran Fan
,
Helwig Hauser
On KDE-based Brushing in Scatterplots and how it Compares to CNN-based Brushing.
MLVis@EuroVis
(2019)
Adrianna Janik
,
Kris Sankaran
,
Anthony Ortiz
Interpreting Black-Box Semantic Segmentation Models in Remote Sensing Applications.
MLVis@EuroVis
(2019)
Sagad Hamid
,
Adrian Derstroff
,
Sören Klemm
,
Quynh Quang Ngo
,
Xiaoyi Jiang
,
Lars Linsen
Visual Ensemble Analysis to Study the Influence of Hyper-parameters on Training Deep Neural Networks.
MLVis@EuroVis
(2019)
2018
1st Workshop on Machine Learning Methods in Visualisation for Big Data, MLVis@EuroVis 2018, Brno, Czech Republic, June 4, 2018
MLVis@EuroVis
(2018)
Benjamin Karer
,
Inga Scheler
,
Hans Hagen
Panning for Insight: Amplifying Insight through Tight Integration of Machine Learning, Data Mining, and Visualization.
MLVis@EuroVis
(2018)