Jürgen Bernard
Cited by
2019 Index IEEE Transactions on Visualization and Computer Graphics Vol. 25
K Aksit, AK Al-Awami, R Albert, UR Alim, R Alligier, S Alspaugh, T Amano, ...
IEEE Transactions on Visualization and Computer Graphics 26 (2), 2020
mVis in the Wild: Pre-Study of an Interactive Visual Machine Learning System for Labelling
M Chegini, J Bernard, L Shao, A Sourin, K Andrews, T Schreck
Proceeding of IEEE VIS 2019 Workshop on Evaluation of Interactive Visual …, 2019
Self-Service Data Preprocessing and Cohort Analysis for Medical Researchers
J Burmeister, J Bernard, T May, J Kohlhammer
2019 IEEE Workshop on Visual Analytics in Healthcare (VAHC), 17-24, 2019
ConfusionFlow: A model-agnostic visualization for temporal analysis of classifier confusion
A Hinterreiter, P Ruch, H Stitz, M Ennemoser, J Bernard, H Strobelt, ...
arXiv preprint arXiv:1910.00969, 2019
Speculative execution for guided visual analytics
F Sperrle, J Bernard, M Sedlmair, D Keim, M El-Assady
arXiv preprint arXiv:1908.02627, 2019
Visual‐Interactive Preprocessing of Multivariate Time Series Data
J Bernard, M Hutter, H Reinemuth, H Pfeifer, C Bors, J Kohlhammer
Computer Graphics Forum 38 (3), 401-412, 2019
使用链接可视化, 聚类和主动学习对监督机器学习进行多变量数据集的交互式标记
M Chegini, J Bernard, P Berger, A Sourin, K Andrews, T Schreck
Visual Informatics 3 (1), 9-17, 2019
Interactive labelling of a multivariate dataset for supervised machine learning using linked visualisations, clustering, and active learning
M Chegini, J Bernard, P Berger, A Sourin, K Andrews, T Schreck
Visual Informatics 3 (1), 9-17, 2019
2018 Index IEEE Transactions on Visualization and Computer Graphics Vol. 24
N Aage, GD Abowd, H Adams, M Agrawala, M Agus, Y Ahmadi, J Ahrens, ...
IEEE Transactions on Visualization and Computer Graphics 25 (2), 1, 2019
Quantifying Uncertainty in Multivariate Time Series Pre-Processing
C Bors, J Bernard, M Bögl, T Gschwandtner, J Kohlhammer, S Miksch
EG EuroVis Workshop for Visual Analytics (EuroVA), 2019
Visual Analysis of Degree-of-Interest Functions to Support Selection Strategies for Instance Labeling
J Bernard, M Hutter, C Ritter, M Lehmann, M Sedlmair, M Zeppelzauer
EG EuroVis Workshop in Visual Analytics (EuroVA), 2019
Visualizing Time Series Consistency for Feature Selection
L Cibulski, T May, B Preim, J Bernard, J Kohlhammer
Václav Skala-UNION Agency, 2019
Shall we play?–Extending the Visual Analytics Design Space through Gameful Design Concepts
R Sevastjanova, H Schäfer, J Bernard, D Keim, M El-Assady
MLUI 2019: Machine Learning from User Interactions for Visualization and …, 2019
Lowering the Barrier for Successful Replication and Evaluation
H Lücke-Tieke, M Beuth, P Schader, T May, J Bernard, J Kohlhammer
2018 IEEE Evaluation and Beyond-Methodological Approaches for Visualization …, 2018
VIAL: a unified process for visual interactive labeling
J Bernard, M Zeppelzauer, M Sedlmair, W Aigner
The Visual Computer 34 (9), 1189-1207, 2018
Personalized Visual-Interactive Music Classification.
C Ritter, C Altenhofen, M Zeppelzauer, A Kuijper, T Schreck, J Bernard
EuroVA@ EuroVis, 31-35, 2018
Learning from the Best-Visual Analysis of a Quasi-Optimal Data Labeling Strategy.
J Bernard, M Hutter, M Lehmann, M Müller, M Zeppelzauer, M Sedlmair
EuroVis (Short Papers), 95-99, 2018
Combining the Automated Segmentation and Visual Analysis of Multivariate Time Series.
J Bernard, C Bors, M Bögl, C Eichner, T Gschwandtner, S Miksch, ...
EuroVA@ EuroVis, 49-53, 2018
Towards User‐Centered Active Learning Algorithms
J Bernard, M Zeppelzauer, M Lehmann, M Müller, M Sedlmair
Computer Graphics Forum 37 (3), 121-132, 2018
Using dashboard networks to visualize multiple patient histories: a design study on post-operative prostate cancer
J Bernard, D Sessler, J Kohlhammer, RA Ruddle
IEEE transactions on visualization and computer graphics 25 (3), 1615-1628, 2018
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