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Jürgen Bernard
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- affiliation: University of Zurich, Zurich, Switzerland
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2020 – today
- 2025
- [j36]Alexander Wyss
, Gabriela Morgenshtern
DaedalusData: Exploration, Knowledge Externalization and Labeling of Particles in Medical Manufacturing - A Design Study. IEEE Trans. Vis. Comput. Graph. 31(1): 54-64 (2025) - 2024
- [j35]Alessio Arleo
Reflections on interactive visualization of electronic health records: past, present, future. J. Am. Medical Informatics Assoc. 31(11): 2423-2428 (2024) - [j34]Gabriela Morgenshtern
MS Pattern Explorer: interactive visual exploration of temporal activity patterns for multiple sclerosis. J. Am. Medical Informatics Assoc. 31(11): 2496-2506 (2024) - [j33]Paola Daniore
From wearable sensor data to digital biomarker development: ten lessons learned and a framework proposal. npj Digit. Medicine 7(1) (2024) - [c65]Clara-Maria Barth
"It's like a glimpse into the future": Exploring the Role of Blood Glucose Prediction Technologies for Type 1 Diabetes Self-Management. CHI 2024: 135:1-135:21 - [c64]Ibrahim Al Hazwani
Towards Personal Explanations for Recommender Systems: A Study on the Impact of Familiarity and Urgency. NordiCHI (Adjunct) 2024: 15:1-15:8 - [c63]Ibrahim Al Hazwani
ScrollyPOI: A Narrative-Driven Interactive Recommender System for Points-of-Interest Exploration and Explainability. UMAP (Adjunct Publication) 2024 - [c62]Jen Rogers, Marie Anastacio, Jürgen Bernard, Mehdi Chakhchoukh, Rebecca Faust, Andreas Kerren, Steffen Koch, Lars Kotthoff, Cagatay Turkay, Emily Wall:
Visualization and Automation in Data Science: Exploring the Paradox of Humans-in-the-Loop. VDS@VIS 2024: 1-5 - [i8]Alexander Wyss, Gabriela Morgenshtern, Amanda Hirsch-Hüsler, Jürgen Bernard:
DaedalusData: Exploration, Knowledge Externalization and Labeling of Particles in Medical Manufacturing - A Design Study. CoRR abs/2408.04749 (2024) - 2023
- [j32]Clara-Maria Barth
How applicable are attribute-based approaches for human-centered ranking creation? Comput. Graph. 114: 45-58 (2023) - [j31]Jürgen Bernard, Marco Angelini:
Computers and graphics special section on the 13th International EuroVis Workshop on Visual Analytics (EuroVA) 2022. Comput. Graph. 115: 4- (2023) - [j30]Madhav Sachdeva
LFPeers: Temporal similarity search and result exploration. Comput. Graph. 115: 81-95 (2023) - [j29]Joscha Eirich
ManuKnowVis: How to Support Different User Groups in Contextualizing and Leveraging Knowledge Repositories. IEEE Trans. Vis. Comput. Graph. 29(8): 3441-3457 (2023) - [c61]Johanna Schmidt, Harald Piringer, Thomas Mühlbacher, Jürgen Bernard:
Human-Based and Automatic Feature Ideation for Time Series Data: A Comparative Study. EuroVA@EuroVis 2023: 7-12 - [c60]Sverrir Arnórsson
Why am I reading this? Explaining Personalized News Recommender Systems. EuroVA@EuroVis 2023: 67-72 - [c59]Jürgen Bernard, Mennatallah El-Assady:
The Future of Interactive Data Analysis and Visualization. EuroVis (Panel) 2023: 1-4 - [c58]Gabriela Morgenshtern
RiskFix: Supporting Expert Validation of Predictive Timeseries Models in High-Intensity Settings. EuroVis (Short Papers) 2023: 13-17 - [c57]Ibrahim Al Hazwani, Turki Alahmadi, Kathrin Wardatzky, Oana Inel
Interaction Tasks for Explainable Recommender Systems. EuroVis (Posters) 2023: 37-39 - [c56]Madhav Sachdeva, Michael Blum, Yann Stricker, Tobias Schreck, Rudolf Mumenthaler, Jürgen Bernard:
ORD-Xplore: Bridging Open Research Data Collections through Modality Abstractions. EuroVis (Posters) 2023: 49-51 - 2022
- [j28]Jürgen Bernard, Katerina Vrotsou:
Foreword to Special Section on EuroVA 2021. Comput. Graph. 107: 9 (2022) - [j27]Joscha Eirich
ManEx: The Visual Analysis of Measurements for the Assessment of Errors in Electrical Engines. IEEE Computer Graphics and Applications 42(2): 68-80 (2022) - [j26]Joscha Eirich, Jakob Bonart, Dominik Jäckle, Michael Sedlmair, Ute Schmid
IRVINE: A Design Study on Analyzing Correlation Patterns of Electrical Engines. IEEE Trans. Vis. Comput. Graph. 28(1): 11-21 (2022) - [j25]Andreas P. Hinterreiter
ConfusionFlow: A Model-Agnostic Visualization for Temporal Analysis of Classifier Confusion. IEEE Trans. Vis. Comput. Graph. 28(2): 1222-1236 (2022) - [j24]Zipeng Liu
Visualizing Graph Neural Networks With CorGIE: Corresponding a Graph to Its Embedding. IEEE Trans. Vis. Comput. Graph. 28(6): 2500-2516 (2022) - [j23]Roy A. Ruddle
The Effect of Alignment on People's Ability to Judge Event Sequence Similarity. IEEE Trans. Vis. Comput. Graph. 28(9): 3070-3081 (2022) - [c55]Yasara Peiris
A Data-Centric Methodology and Task Typology for Time-Stamped Event Sequences. BELIV 2022: 66-76 - [c54]Jenny Schmid
RankASco: A Visual Analytics Approach to Leverage Attribute-Based User Preferences for Item Rankings. EuroVA@EuroVis 2022: 7-11 - [c53]Raphael Beckmann
Interactive Visual Explanation of Incremental Data Labeling. EuroVA@EuroVis 2022: 13-17 - [c52]Ibrahim Al Hazwani, Jenny Schmid
A Design Space for Explainable Ranking and Ranking Models. EuroVis (Posters) 2022: 35-37 - [e3]Jürgen Bernard, Marco Angelini:
13th International EuroVis Workshop on Visual Analytics, EuroVA@EuroVis 2022, Rome, Italy, June 13, 2022. Eurographics Association 2022, ISBN 978-3-03868-183-0 [contents] - [i7]Ibrahim Al Hazwani, Jenny Schmid, Madhav Sachdeva, Jürgen Bernard:
A Design Space for Explainable Ranking and Ranking Models. CoRR abs/2205.15305 (2022) - [i6]Yasara Peiris, Clara-Maria Barth
A Data-Centric Methodology and Task Typology for Time-Stamped Event Sequences. CoRR abs/2209.10181 (2022) - 2021
- [j22]Jürgen Bernard
ProSeCo: Visual analysis of class separation measures and dataset characteristics. Comput. Graph. 96: 48-60 (2021) - [j21]Fabian Sperrle, Astrik Jeitler, Jürgen Bernard, Daniel A. Keim, Mennatallah El-Assady:
Co-adaptive visual data analysis and guidance processes. Comput. Graph. 100: 93-105 (2021) - [j20]Rita Sevastjanova, Wolfgang Jentner
QuestionComb: A Gamification Approach for the Visual Explanation of Linguistic Phenomena through Interactive Labeling. ACM Trans. Interact. Intell. Syst. 11(3-4): 19:1-19:38 (2021) - [j19]Jürgen Bernard, Marco Hutter, Michael Sedlmair, Matthias Zeppelzauer, Tamara Munzner:
A Taxonomy of Property Measures to Unify Active Learning and Human-centered Approaches to Data Labeling. ACM Trans. Interact. Intell. Syst. 11(3-4): 20:1-20:42 (2021) - [c51]Jenny Schmid
A Taxonomy of Attribute Scoring Functions. EuroVA@EuroVis 2021: 31-35 - [c50]Jan Burmeister, Jürgen Bernard, Jörn Kohlhammer:
LFPeers: Temporal Similarity Search in Covid-19 Data. EuroVA@EuroVis 2021: 49-53 - [c49]Nicolas Grossmann
Does the Layout Really Matter? A Study on Visual Model Accuracy Estimation. IEEE VIS (Short Papers) 2021: 61-65 - [c48]Philipp Schader, Raphael Beckmann
LayoutExOmizer: Interactive Exploration and Optimization of 2D Data Layouts. VMV 2021: 99-107 - [e2]Jürgen Bernard, Katerina Vrotsou:
12th International EuroVis Workshop on Visual Analytics, EuroVA@EuroVis 2021, Virtual Event, Switzerland, June 14, 2021. Eurographics Association 2021, ISBN 978-3-03868-150-2 [contents] - [i5]Zipeng Liu, Yang Wang, Jürgen Bernard, Tamara Munzner:
Visualizing Graph Neural Networks with CorGIE: Corresponding a Graph to Its Embedding. CoRR abs/2106.12839 (2021) - [i4]Nicolas Grossmann, Jürgen Bernard, Michael Sedlmair, Manuela Waldner:
Does the Layout Really Matter? A Study on Visual Model Accuracy Estimation. CoRR abs/2110.07188 (2021) - 2020
- [j18]Mohammad Chegini
Interactive visual labelling versus active learning: an experimental comparison. Frontiers Inf. Technol. Electron. Eng. 21(4): 524-535 (2020) - [c47]Jürgen Bernard, Marco Hutter, Matthias Zeppelzauer, Michael Sedlmair, Tamara Munzner:
SepEx: Visual Analysis of Class Separation Measures. EuroVA@Eurographics/EuroVis 2020: 7-11 - [c46]Fabian Sperrle, Astrik Jeitler, Jürgen Bernard, Daniel A. Keim, Mennatallah El-Assady:
Learning and Teaching in Co-Adaptive Guidance for Mixed-Initiative Visual Analytics. EuroVA@Eurographics/EuroVis 2020: 61-65
2010 – 2019
- 2019
- [j17]Jürgen Bernard
Visual-Interactive Preprocessing of Multivariate Time Series Data. Comput. Graph. Forum 38(3): 401-412 (2019) - [j16]Lena Cibulski
Visualizing Time Series Consistency for Feature Selection. J. WSCG 27(2) (2019) - [j15]Jürgen Bernard
Using Dashboard Networks to Visualize Multiple Patient Histories: A Design Study on Post-Operative Prostate Cancer. IEEE Trans. Vis. Comput. Graph. 25(3): 1615-1628 (2019) - [j14]Mohammad Chegini, Jürgen Bernard, Philip Berger, Alexei Sourin
Interactive labelling of a multivariate dataset for supervised machine learning using linked visualisations, clustering, and active learning. Vis. Informatics 3(1): 9-17 (2019) - [c45]Jan Burmeister, Jürgen Bernard, Thorsten May, Jörn Kohlhammer:
Self-Service Data Preprocessing and Cohort Analysis for Medical Researchers. VAHC 2019: 17-24 - [c44]Jürgen Bernard, Marco Hutter, Christian Ritter, Markus Lehmann, Michael Sedlmair, Matthias Zeppelzauer:
Visual Analysis of Degree-of-Interest Functions to Support Selection Strategies for Instance Labeling. EuroVA@EuroVis 2019: 1-5 - [c43]Christian Bors
Quantifying Uncertainty in Multivariate Time Series Pre-Processing. EuroVA@EuroVis 2019: 31-35 - [i3]Fabian Sperrle, Jürgen Bernard, Michael Sedlmair, Daniel A. Keim, Mennatallah El-Assady:
Speculative Execution for Guided Visual Analytics. CoRR abs/1908.02627 (2019) - [i2]Andreas P. Hinterreiter, Peter Ruch, Holger Stitz, Martin Ennemoser, Jürgen Bernard, Hendrik Strobelt, Marc Streit:
ConfusionFlow: A model-agnostic visualization for temporal analysis of classifier confusion. CoRR abs/1910.00969 (2019) - 2018
- [j13]Jürgen Bernard, Matthias Zeppelzauer
Towards User-Centered Active Learning Algorithms. Comput. Graph. Forum 37(3): 121-132 (2018) - [j12]Dominik Sacha, Matthias Kraus, Jürgen Bernard, Michael Behrisch, Tobias Schreck
SOMFlow: Guided Exploratory Cluster Analysis with Self-Organizing Maps and Analytic Provenance. IEEE Trans. Vis. Comput. Graph. 24(1): 120-130 (2018) - [j11]Jürgen Bernard, Marco Hutter, Matthias Zeppelzauer
Comparing Visual-Interactive Labeling with Active Learning: An Experimental Study. IEEE Trans. Vis. Comput. Graph. 24(1): 298-308 (2018) - [j10]Jürgen Bernard
VIAL: a unified process for visual interactive labeling. Vis. Comput. 34(9): 1189-1207 (2018) - [c42]Hendrik Lücke-Tieke
Lowering the Barrier for Successful Replication and Evaluation. BELIV 2018: 60-68 - [c41]Christian Ritter, Christian Altenhofen, Matthias Zeppelzauer, Arjan Kuijper, Tobias Schreck, Jürgen Bernard:
Personalized Visual-Interactive Music Classification. EuroVA@EuroVis 2018: 31-35 - [c40]Jürgen Bernard, Christian Bors
Combining the Automated Segmentation and Visual Analysis of Multivariate Time Series. EuroVA@EuroVis 2018: 49-53 - [c39]Jürgen Bernard, Marco Hutter, Markus Lehmann, Martin Müller, Matthias Zeppelzauer, Michael Sedlmair:
Learning from the Best - Visual Analysis of a Quasi-Optimal Data Labeling Strategy. EuroVis (Short Papers) 2018: 95-99 - 2017
- [c38]Jürgen Bernard, Thorsten May, Dirk Pehrke, Thorsten Schlomm, Jörn Kohlhammer:
Visual Computing for Big Data Analysis in Prostate Cancer Research. Eurographics (Dirk Bartz Prize) 2017: 9-13 - [c37]Jürgen Bernard, Christian Ritter, David Sessler, Matthias Zeppelzauer
Visual-Interactive Similarity Search for Complex Objects by Example of Soccer Player Analysis. VISIGRAPP (3: IVAPP) 2017: 75-87 - [c36]Jürgen Bernard, Anna Vögele, Reinhard Klein, Dieter W. Fellner
Approaches and Challenges in the Visual-interactive Comparison of Human Motion Data. VISIGRAPP (3: IVAPP) 2017: 217-224 - [c35]Andreas Bannach, Jürgen Bernard, Florian Jung, Jörn Kohlhammer, Thorsten May, Kathrin Scheckenbach, Stefan Wesarg:
Visual analytics for radiomics: Combining medical imaging with patient data for clinical research. VAHC 2017: 84-91 - [c34]Jürgen Bernard, Eduard Dobermann, Anna Vögele, Björn Krüger
Visual-Interactive Semi-Supervised Labeling of Human Motion Capture Data. Visualization and Data Analysis 2017: 34-45 - [c33]Tobias Ruppert
Visual Interactive Creation and Validation of Text Clustering Workflows to Explore Document Collections. Visualization and Data Analysis 2017: 46-57 - [c32]Jürgen Bernard, Eduard Dobermann, Michael Sedlmair, Dieter W. Fellner
Combining Cluster and Outlier Analysis with Visual Analytics. EuroVA@EuroVis 2017: 19-23 - [c31]Jürgen Bernard, Matthias Zeppelzauer, Michael Sedlmair, Wolfgang Aigner:
A Unified Process for Visual-Interactive Labeling. EuroVA@EuroVis 2017: 73-77 - [c30]Tobias Ruppert, Andreas Bannach, Jürgen Bernard, Martin Lokanc, Jörn Kohlhammer:
Visual Access to Performance Indicators in the Mining Sector. EuroVis (Short Papers) 2017: 157-161 - [i1]Jürgen Bernard, Christian Ritter, David Sessler, Matthias Zeppelzauer, Jörn Kohlhammer, Dieter W. Fellner
Visual-Interactive Similarity Search for Complex Objects by Example of Soccer Player Analysis. CoRR abs/1703.03385 (2017) - 2016
- [c29]Tobias Ruppert
Supporting Collaborative Political Decision Making: An Interactive Policy Process Visualization System. VINCI 2016: 104-111 - [c28]Jürgen Bernard
Visual-Interactive Segmentation of Multivariate Time Series. EuroVA@EuroVis 2016: 31-35 - [c27]Jürgen Bernard
Visual-Interactive Exploration of Relations Between Time-Oriented Data and Multivariate Data. EuroVA@EuroVis 2016: 49-53 - [c26]David Sessler, Martin Spott, Detlef D. Nauck, William Harmer, Jörn Kohlhammer, Jürgen Bernard
Towards Combining Attribute-based and Time Series-based Visual Querying. EuroVis (Posters) 2016: 73-75 - 2015
- [b1]Jürgen Bernard:
Exploratory search in time-oriented primary data. Darmstadt University of Technology, Germany, 2015, pp. 1-250 - [j9]Jürgen Bernard
A Visual-Interactive System for Prostate Cancer Cohort Analysis. IEEE Computer Graphics and Applications 35(3): 44-55 (2015) - [j8]Jürgen Bernard
VisInfo: a digital library system for time series research data based on exploratory search - a user-centered design approach. Int. J. Digit. Libr. 16(1): 37-59 (2015) - [c25]Jürgen Bernard
A visual active learning system for the assessment of patient well-being in prostate cancer research. VAHC 2015: 1:1-1:8 - [c24]Jürgen Bernard
A survey and task-based quality assessment of static 2D colormaps. Visualization and Data Analysis 2015: 93970M - [c23]Nils Wilhelm, Anna Vögele, Rebeka Zsoldos
FuryExplorer: visual-interactive exploration of horse motion capture data. Visualization and Data Analysis 2015: 93970F - [c22]Tobias Ruppert, Jürgen Bernard
Visual-Interactive Text Analysis to Support Political Decision Making - From Sentiments to Arguments to Policies. EuroVA@EuroVis 2015: 37-41 - [c21]Martin Steiger, Jürgen Bernard
Visual Analysis of Relations in Attributed Time-Series Data. EuroVA@EuroVis 2015: 61-65 - [c20]Saskia Koldijk, Jürgen Bernard
Visual Analytics of Work Behavior Data - Insights on Individual Differences. EuroVis (Short Papers) 2015: 79-83 - [e1]Theresia Gschwandtner, Adam Perer, Jürgen Bernard:
Proceedings of the 2015 Workshop on Visual Analytics in Healthcare, VAHC 2015, Chicago, Illinois, USA, October 25, 2015. ACM 2015, ISBN 978-1-4503-3671-0 [contents] - 2014
- [j7]Jürgen Bernard
Visual-interactive Exploration of Interesting Multivariate Relations in Mixed Research Data Sets. Comput. Graph. Forum 33(3): 291-300 (2014) - [j6]Martin Steiger, Jürgen Bernard
Visual Analysis of Time-Series Similarities for Anomaly Detection in Sensor Networks. Comput. Graph. Forum 33(3): 401-410 (2014) - [c19]Jürgen Bernard
Towards a user-defined visual-interactive definition of similarity functions for mixed data. IEEE VAST 2014: 227-228 - [c18]Tobias Ruppert
Towards a tighter coupling of visualization and public policy making. IEEE VAST 2014: 271-272 - [c17]Tobias Ruppert
Visual access to an agent-based simulation model to support political decision making. I-KNOW 2014: 16:1-16:8 - [c16]Tobias Ruppert
Combining Computational Models and Interactive Visualization to Support Rational Decision Making. ISVC (1) 2014: 345-356 - [c15]Martin Steiger, Jürgen Bernard
A survey of direction-preserving layout strategies. SCCG 2014: 21-28 - [c14]Sebastian Mittelstädt, Jürgen Bernard
Revisiting Perceptually Optimized Color Mapping for High-Dimensional Data Analysis. EuroVis (Short Papers) 2014 - 2013
- [j5]Jürgen Bernard
MotionExplorer: Exploratory Search in Human Motion Capture Data Based on Hierarchical Aggregation. IEEE Trans. Vis. Comput. Graph. 19(12): 2257-2266 (2013) - [c13]Tobias Ruppert, Jürgen Bernard, Jörn Kohlhammer:
Bridging Knowledge Gaps in Policy Analysis with Information Visualization. EGOV/ePart Ongoing Research 2013: 92-103 - [c12]Kawa Nazemi
Adaptive Semantic Visualization for Bibliographic Entries. ISVC (2) 2013: 13-24 - [c11]Tobias Ruppert
Visual Access to Optimization Problems in Strategic Environmental Assessment. ISVC (2) 2013: 361-372 - 2012
- [j4]Jürgen Bernard, Nils Wilhelm, Maximilian Scherer, Thorsten May, Tobias Schreck:
TimeSeriesPaths: Projection-Based Explorative Analysis of Multivarate Time Series Data. J. WSCG 20(2): 97-106 (2012) - [c10]Tobias Schreck, Lyubka Sharalieva, Franz Wanner, Jürgen Bernard
Visual exploration of local interest points in sets of time series. IEEE VAST 2012: 239-240 - [c9]Jürgen Bernard
Guided discovery of interesting relationships between time series clusters and metadata properties. I-KNOW 2012: 22 - [c8]Jürgen Bernard
Content-based layouts for exploratory metadata search in scientific research data. JCDL 2012: 139-148 - [c7]Jürgen Bernard, Tobias Ruppert, Oliver Goroll, Thorsten May, Jörn Kohlhammer:
Visual-Interactive Preprocessing of Time Series Data. SIGRAD 2012: 39-48 - 2011
- [j3]Sebastian Bremm, Tatiana von Landesberger, Jürgen Bernard
Assisted Descriptor Selection Based on Visual Comparative Data Analysis. Comput. Graph. Forum 30(3): 891-900 (2011) - [c6]Maximilian Scherer, Jürgen Bernard
Retrieval and exploratory search in multivariate research data repositories using regressional features. JCDL 2011: 363-372 - [c5]Jürgen Bernard
Multiscale visual quality assessment for cluster analysis with self-organizing maps. Visualization and Data Analysis 2011: 78680N - 2010
- [j2]Jürgen Bernard
A visual digital library approach for time-oriented scientific primary data. Int. J. Digit. Libr. 11(2): 111-123 (2010) - [c4]Jürgen Bernard
A Visual Digital Library Approach for Time-Oriented Scientific Primary Data. ECDL 2010: 352-363 - [c3]Jürgen Bernard
Cluster correspondence views for enhanced analysis of SOM displays. IEEE VAST 2010: 217-218 - [c2]Tatiana von Landesberger, Sebastian Bremm, Jürgen Bernard, Tobias Schreck:
Smart Query Definition for Content-Based Search in Large Sets of Graphs. EuroVAST@EuroVis 2010
2000 – 2009
- 2009
- [j1]Tobias Schreck
Visual cluster analysis of trajectory data with interactive Kohonen maps. Inf. Vis. 8(1): 14-29 (2009) - 2008
- [c1]Tobias Schreck
Visual cluster analysis of trajectory data with interactive Kohonen Maps. IEEE VAST 2008: 3-10
Coauthor Index
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