Juergen Bernard

Jürgen Bernard

Assistant Professor of
Computer Science at University of Zurich
Interactive Visual Data Analysis Group
Address: Binzmühlestrasse 14, CH-8050 Zurich
Email: bernard (at) ifi.uzh.ch
Phone: +41 44 635 43 24 (direct)
Research Platforms: Scholar, DBLP, ORCiD, LinkedIn, DSI
Prior Affiliations:


I'm hiring! Open PostDoc and PhD positions in Interactive Visual Data Analysis at University of Zurich!
About My research focuses on the characterization, design, and evaluation of interactive visual data analysis, explainable machine learning, and human-centered AI interfaces. I study how the strengths of humans and algorithms can be combined in human-in-the-loop approaches, to support data-centric information seeking and decision making. My data-centered focus is on time series data and mixed multivariate data. My technique focus ranges from unsupervised to supervised machine learning including cluster analysis, dimensionality reduction, active learning, regression analysis, classification, as well as ranking and recommendation. From a task perspective, much of my work enables people to explore undiscovered complex data for insight and hypothesis generation. I'm also interested in enabling people to express their knowledge and preferences through interactive feedback, and labeling, e.g., to engage with personalised and interactive machine learning environments. Important application domains include digital libraries and digital humanities, as well as healthcare, digital health, and personal health.

Short Bio Jürgen Bernard is an Assistant Professor of Computer Science at the University of Zurich (UZH), Switzerland, and associated with the Digital Society Initiative (DSI), Zurich. He is leading the Interactive Visual Data Analysis (IVDA) Group.
Jürgen Bernard studied Computer Science with focus on Computer Graphics at the University of Technology of Darmstadt. His diploma thesis in 2009 was on visual-interactive cluster analysis using neural networks. He received his PhD Degree in 2015 on “Exploratory Search in Time-Oriented Primary Data”, when he was with Fraunhofer IGD. In 2016, Jürgen Bernard started as a Post-doc researcher at TU Darmstadt at Interactive Graphics Systems Group, leading the Visual-Interactive Machine Learning Group. In 2019, Jürgen Bernard became a postdoctoral research fellow at the University of British Columbia, Vancouver, Canada, where he joined the InfoVis group, led by Professor Tamara Munzner. For his contributions in visualization research, Jürgen was recently awarded the EuroVis Young Researcher Award (2021) and the Eurographics Young Researcher Award (2022).

Index Terms Information Visualization, Visual Analytics, Interactive Machine Learning, Human-Centered Artificial Intelligence, Human-Computer Interaction, Data Science, Time Series Analysis, Exploratory Search, Active Learning, Interactive Data Labeling, Segmentation of Time Series, Visual Cluster Analysis, Dimensionality Reduction, Multivariate Data Analysis, Mixed Data Analysis, Digital Libraries, Digital Humanities, Visual Analytics in Healthcare, Digital and Personal Health.

News

General Chair of VAHC 2023

IEEE VIS Workshop on Visual Analytics in Healthcare | 2023-10-22

I had the pleasure to serve as the General Chair of VAHC 2023, in conjunction with IEEE VIS 2023, Oct 22 in Melbourne, Australia. VAHC is the premier research event for applications of data visualization and visual analytics in healthcare, digital health, and personal health. We bring together medical experts, leading scientists, and visionaries to discuss opportunities and challenges in using visual analytics techniques to help patients, clinicians, public health researchers, and others.

EuroGraphics Young Researcher Award

Jürgen Bernard has received the EuroGraphics 2022 Young Researcher Award! | 2022-04-25

In recognition of his outstanding contributions to Computer Graphics in the area of information visualization and visual analytics. In his area of research Jürgen Bernard has produced a number of outstanding contributions, which is evidenced by several best paper awards from conferences such as IEEE VIS and EuroVA, the Hugo-Geiger Preis in 2016, and the Dirk Bartz Prize in 2017. EUROGRAPHICS is pleased to recognize Jürgen Bernard with the 2022 Young Researcher Award.

Best Paper Award at IEEE VIS

Successful collaboration with BMW | 2021-10-26

We have received the Best Paper Award for our paper IRVINE: A Design Study on Analyzing Correlation Patterns of Electrical Engines. Co-authors are Joscha Eirich, Jakob Bonart, Dominik Jäckle, Michael Sedlmair, Ute Schmid, Kai Fischbach, Tobias Schreck, and Jürgen Bernard. IRVINE is a Visual Analytics system to detect and understand previously unknown errors in the manufacturing of electrical engines at BMW. IEEE VIS is the the premier forum for advances in visualization and visual analytics.

Silvia Miksch Keynote Speaker at VAHC 2021

International Workshop on Visual Analytics in Healthcare | 2021-10-24

I'm delighted to announce that Prof. Silvia Miksch will give the keynote talk at the VAHC Workshop, entitled "Visual Analytics Meet Electronic Health Records: How Can We Tackle the Challenges?". I'm organizing VAHC together with Annie T. Chen and Danny T.Y. Wo, it is the premier research event exploring the application of visual analytics in healcare. VAHC is held virtually on Oct 24, in conjunction with IEEE VIS 2021.

EuroVis Young Researcher Award

Jürgen Bernard has received the EuroVis 2021 Young Researcher Award! | 2021-06-15

In recognition of his outstanding contribution to the characterization, design, and evaluation of visual-interactive interfaces to combine the strengths of both humans and algorithms in interactive machine learning and data science applications. The Award is given to one young colleague, who has already made a significant contribution to visualization, and to the European Visualization community.

Best Paper Award at EuroVA 2021

Successful Collaboration with Fraunhofer IGD | 2021-06-14

We have received the Best Paper Award for our paper LFPeers: Temporal Similarity Search in Covid-19 Data. The paper formulates an interesting analysis problem of exploring similarity and dissimilarity in time series. As opposed to exploring the entire time series space, analysts choose inflection points to identify similarities in time up to a given point, and then explore how trends compare after this point in time. The notions of interactively are strong examples of how visual analytics can support analytical reasoning.

Ben Shneiderman at UZH

Talk in the colloquium Series 2021 at UZH | 2021-03-04

I'm delighted to announce Ben Shneiderman, who followed my invitation to the Colloquium Spring 2021 series! Ben is a Distinguished University Professor in the University of Maryland Department of Computer Science. He conducted fundamental research in the fields of human–computer interaction and information visualization, with design being an overarching theme in his long career. In his talk, Ben will present concepts and practices in Human-Centered AI (HCAI).

Organization of VAHC 2021

International Workshop on Visual Analytics in Healthcare | 2021-02-01

I'm organizing VAHC 2021, held virtually in conjunction with IEEE VIS 2021, Oct 24. VAHC is the premier research event exploring the application of data visualization and visual analytics. We will bring together medical experts, leading scientists, and visionaries to discuss opportunities and challenges in using visual analytics techniques to help patients, clinicians, public health researchers, and others leverage the power of complex health datasets.

Organization of EuroVA 2021

International EuroVis Workshop on Visual Analytics | 2020-11-01

I'm organizing EuroVA 2021, together with Katerina Vrotsou (Linköping University, Sweden). EuroVA will be held virtually in conjunction with the EuroVis conference in Zurich (June 14 - June 18). EuroVA is the premier workshop in Europe to present and discuss fresh ideas on new methods and theories, novel applications, designs, and studies on the use of Visual Analytics methods and systems.

New Affiation at University of Zurich (UZH)

Assistant Professor of Computer Science at UZH | 2020-09-01

I will be Assistant Professor for "Interacting With Data" at the Institute for Informatics (IfI) in Zurich! I will form my own research group: "Interactive Visual Data Analysis", with an emphasis on human-centered data science using visual analytics techniques.

Publications by Topics

Interactive Machine Learning

Visual-Interactive Labeling (VIAL)

Visual Analytics for Time-Oriented Data

Segmentation and Labeling of Multivariate Time Series

Design Studies and Applications

Experiments and Empirical Work

Visual Analytics in Health Care

Data Sets (Open Access)

Exploratory Search

Theoretical Foundations of Visualization

Awards & Honors

EuroGraphics Young Researcher Award EuroGraphics, Reims, FR For his outstanding contributions to Computer Graphics in the area of information visualization and visual analytics (Eurographics) 2022
Best Paper Award IEEE VIS, New Orleans, USA IRVINE: A Design Study on Analyzing Correlation Patterns (...) (TVCG) 2021
EuroVis Young Researcher Award EuroVis, Zurich, CH For his significant contributions to the European Visualization Community (EuroVis) 2021
Best Paper Award EuroVA, Zurich, CH LFPeers: Temporal Similarity Search in Covid-19 Data (EuroVA) 2021
Best Paper Award EuroVA, Norrköping, SWE Learning and Teaching in Co-Adaptive Guidance (...) (EuroVA) 2020
4th most-contributing Author all Time EuroVA, Porto, POR 10th Anniversary of EuroVA - 8 Publications between 2010 and 2019 (EuroVA) 2019
Best Paper Award Nom. EuroVA, Porto, POR Visual Analysis of Degree-of-Interest Functions (...) 2019
Datenlotsen Price TU Darmstadt, GER Best Student Thesis of Christian Ritter (Supervision) 2018
Best Paper Award Nom. EuroVA, Brno, CZR Personalized Visual-Interactive Music Classification 2018
Honorable Mention for Best P. Fraunhofer IGD, Darmstadt, GER Comparing visual-interactive labeling with active learning (IEEE) 2018
Dirk Bartz Price Eurographics EG, Lyon, FRA Visual Computing in Medicine (Eurographics) 2017
Best Paper Award IVAPP/VISGRAPP, Porto, POR Visual-Interactive Similarity Search for Complex Objects (...) 2017
Hugo-Geiger Preis Fraunhofer, München, GER Excellent dissertations in the Fraunhofer society (Press Release) 2016
GI Best PhD Thesis Award Nom. Gesellschaft für Informatik (GI), Dagstuhl, GER Excellent Dissertations in Computer Science, candidate for TU Darmstadt (GI Dissertation Prize) 2016
Best Paper Award Nom. EuroVA, Groningen, NED Visual-Interactive Segmentation of Multivariate Time Series 2016
Best Industrial Project Awd. Fraunhofer IGD, Darmstadt, GER In collaboration with UKE Universitätsklinikum Hamburg Eppendorf 2016
Best Paper Award Fraunhofer IGD, Darmstadt, GER A Visual-Interactive System for Prostate Cancer (...) GC&A (Report) 2016
Dissertation TU Darmstadt, GER Disputation with ”summa-cum-laude“ 2015
Best Paper Award i-KNOW, Graz, AUT Conference on Knowledge Tech. and Data-driven Business (i-KNOW) 2014
Best Industrial Project Awd. Fraunhofer IGD, Darmstadt, GER In collaboration with IVA/Fraunhofer IGD and UKE, Hamburg, Germany 2014
Honorable Mention for Best P. Fraunhofer IGD, Darmstadt, GER Content-based layouts for exploratory metadata search (...) (Report) 2013
Best Student Paper Award JCDL, Washington, USA Content-based layouts for exploratory metadata search (...) (JCDL) 2012
Honorable Mention for Best P. Fraunhofer IGD, Darmstadt, GER A visual digital library approach for time-oriented scientific primary data 2011
Best Paper Award Fraunhofer IGD, Darmstadt, GER Visual Cluster Analysis of Trajectory Data With Interactive Kohonen Maps 2010
Best Diploma Thesis Awd. Fraunhofer IGD, Darmstadt, GER Methoden zur Qualitätsbewertung von Self-organizing Maps SOM (...) 2010

Invited Talks

Visual Analytics in Healthcare Monash University, Melbourne, AUS 2023
Interactive Visual Data Analysis DSI PhD Excellence Track, DSI, CH 2023
Data Analysis - Challenges and Opportunities Robotics and Perception Group, UZH, CH 2022
Human-Centered Data Analysis Forschungsgruppe Financial Economics (IBF), UZH, CH 2022
Interaktion und Raum DSI Perspektiven, UFSP Sprache und Raum, UZH, CH 2022
Interacting With Data Inaugural Lecture, Univeristy of Zurich, CH 2022
Interactive Data Science with the Human-in-the-Loop BMW, Bayerische Motorenwerke, Munich, GER 2021
Interactive Visual Data Analysis University of Zurich, CH 2020
Enhancing Human Centered and Interactive Machine Learning Aarhus University, DEN 2019
Enhancing Human-Centered Machine Learning with Visual Analytics Visual Computing Forum, University of Bergen, NOR 2019
Enhancing Interactive Data Science with Visual Analytics University of Rostock, GER 2019
Visual-Interactive Data Science University of Zurich, CH 2019
Transparent Machine Learning with Visual Analytics VIS in Practice at VIS 2018, Berlin, GER 2018
Visual-Interactive Machine Learning TU Graz, AUT 2018
Visual-Interactive Data Science City, University of London, UK 2018
Visual-Interactive Machine Learning University of Konstanz, GER 2018
Interactive Visual Data Science University of Trier, GER 2018
Data Visualization and Visual Analytics Graduate School of Excell. Comp. Eng. (CE), TU Darmstadt, GER 2018
Machine Learning with the User-in-the-Loop VRVis, Center for VR und Vis, Vienna, AUT 2018
Visual-Interactive Machine Learning for Time-Oriented Data University of Konstanz, GER 2018
Visual Computing for Big Data Analysis in Prostate Cancer Research Dirk Bartz Price Talk, Eurographics, Lyon, FRA 2017
Exploratory Search in Time-Oriented Data Vienna University of Technology, Vienna, AUT 2017
Visual Analytics meets Machine Learning St. Poelten University of Applied Sciences, St. Pölten, AUT 2017
Visual Analytics meets Human Motion Analysis University of Bonn, Bonn, GER 2016
Explorative Suche in Zeitbasierten Primärdaten Gesellschaft für Informatik (GI), Award Nomin., Dagstuhl, GER 2015
Relation Seeking between Time Series Data and Multivariate Data Conference on Artificial Intelligence (AI), Cambridge, UK 2015
Exploratory Search in Time-Oriented Primary Data PhD Defense, University of Darmstadt, GER 2015
Visual Analysis of Time-oriented Data British Telecom, Ipswich, UK 2013
Visual Analysis of Time-oriented Data Conference on Artificial Intelligence (AI), Cambridge, UK 2013
Content-based vs. Metadata-based Search and Analysis Research Worksop, University of Konstanz, GER 2012
Visual Access to Time-Oriented Scientific Primary Data Deutsches Klimarechenzentrum (DKRZ), Hamburg, GER 2011
Visualization and Search for Time-Oriented Scientific Primary Data DataCite, Technische Informationsbib. Hannover (TIB), GER 2010

Publications by Year

Publications by Type

Theses

T002 Exploratory search in time-oriented primary data
Bernard, J.
Technische Universität Darmstadt, Dissertation, PhD Thesis (Dissertation) (2015).
T001 Methoden zur Qualitätsbewertung von Self-organizing Maps zur Unterstützung des visuellen Analyseprozesses
Bernard, J.
Technische Universität Darmstadt, Diploma Thesis (Diplomarbeit) (2009).

Books

B001 Methoden zur Qualitätsbewertung von Self-organizing Maps (SOM): Unterstützung der Visuellen Clusteranalyse
Bernard, J.
AV Akademikerverlag, 978-3-639-85612-5 pp. 100 p., (2015).

Peer-reviewed Journal Articles

J030 ManuKnowVis: How to Support Different User Groups in Contextualizing and Leveraging Knowledge Repositories
Eirich, J., Jäckle, D., Sedlmair, M., Wehner, C., Schmid, U., Bernard, J., Schreck, T.
IEEE Transactions on Visualization and Computer Graphics pp. 1-13, (2023). doi: 10.1109/TVCG.2023.3279857
J029 LFPeers: Temporal Similarity Search and Result Exploration
Sachdeva, M., Burmeister, J., Kohlhammer, J., Bernard, J.
Computers & Graphics (2023). doi: https://doi.org/10.1016/j.cag.2023.06.009
J028 How applicable are attribute-based approaches for human-centered ranking creation?
Barth, C., Schmid, J., Al-Hazwani, I., Sachdeva, M., Cibulski, L., Bernard, J.
Computers & Graphics pp. 45-58, (2023). doi: https://doi.org/10.1016/j.cag.2023.05.004
J027 Visualizing Graph Neural Networks with CorGIE: Corresponding a Graph to Its Embedding
Liu, Z., Wang, Y., Bernard, J., Munzner, T.
IEEE Transactions on Visualization and Computer Graphics pp. 2500-2516, (2022). doi: 10.1109/TVCG.2022.3148197
J026 ManEx: The Visual Analysis of Measurements for the Assessment of Errors in Electrical Engines
Eirich, J., Koutroulis, G., Mutlu, B., Jäckle, D., Kern, R., Schreck, T., Bernard, J.
IEEE Computer Graphics and Applications pp. 68-80, (2022). doi: 10.1109/MCG.2022.3155306
J025 IRVINE: A Design Study on Analyzing Correlation Patterns of Electrical Engines
Eirich, J., Bonart, J., Jäckle, D., Sedlmair, M., Schmid, U., Fischbach, K., Schreck, T., Bernard, J.
IEEE Transactions on Visualization and Computer Graphics (TVCG) pp. 11-21, (2022). doi: 10.1109/TVCG.2021.3114797
J024 QuestionComb: A Gamification Approach for the Visual Explanation of Linguistic Phenomena through Interactive Labeling
Sevastjanova, R., Jentner, W., Sperrle, F., Kehlbeck, R., Bernard, J., El-Assady, M.
ACM Transactions on Interactive Intelligent Systems (TiiS) pp. 1-38, (2021). doi: 10.1145/3429448
J023 Co-adaptive visual data analysis and guidance processes
Sperrle, F., Jeitler, A., Bernard, J., Keim, D., El-Assady, M.
Computers & Graphics (2021). doi: https://doi.org/10.1016/j.cag.2021.06.016
J022 ProSeCo: Visual analysis of class separation measures and dataset characteristics
Bernard, J., Hutter, M., Zeppelzauer, M., Sedlmair, M., Munzner, T.
Computers & Graphics pp. 48-60, (2021). doi: https://doi.org/10.1016/j.cag.2021.03.004
J021 A Taxonomy of Property Measures to Unify Active Learning and Human-Centered Approaches To Data Labeling
Bernard, J., Hutter, M., Sedlmair, M., Zeppelzauer, M., Munzner, T.
ACM Transactions on Interactive Intelligent Systems (TiiS) (2021).
J020 The Effect of Alignment on Peoples Ability to Judge Event Sequence Similarity
Ruddle, R., Bernard, J., Lücke-Tieke, H., May, T., Kohlhammer, J.
IEEE Transactions on Visualization and Computer Graphics pp. 1-1, (2021). doi: 10.1109/TVCG.2021.3050497
J019 Interactive Visual Labelling versus Active Learning: An Experimental Comparison
Chegini, M., Bernard, J., Cui, J., Chegini, F., Sourin, A., Andrews, K., Schreck, T.
Frontiers of Information Technology & Electronic Engineering (FITEE) pp. 524-535, (2020). doi: 10.1631/FITEE.1900549
J018 ConfusionFlow: A model-agnostic visualization for temporal analysis of classifier confusion
Hinterreiter, A., Ruch, P., Stitz, H., Ennemoser, M., Bernard, J., Strobelt, H., Streit, M.
IEEE Transactions on Visualization and Computer Graphics (2020).
J017 Visual-Interactive Preprocessing of Multivariate Time Series Data
Bernard, J., Hutter, M., Reinemuth, H., Pfeifer, H., Bors, C., Kohlhammer, J.
Computer Graphics Forum (CGF) pp. 401-412, (2019). doi: 10.1111/cgf.13698
J016 Interactive Labelling of a Multivariate Dataset for Supervised Machine Learning Using Linked Visualisations, Clustering, and Active Learning
Chegini, M., Bernard, J., Berger, P., Sourin, A., Andrews, K., Schreck, T.
Visual Informatics pp. 9-17, (2019). doi: 10.1016/j.visinf.2019.03.002
J015 Towards User-Centered Active Learning Algorithms
Bernard, J., Zeppelzauer, M., Lehmann, M., Müller, M., Sedlmair, M.
Computer Graphics Forum (CGF) pp. 121-132, (2018). doi: 10.1111/cgf.13406
J014 SOMFlow: Guided Exploratory Cluster Analysis with Self-Organizing Maps and Analytic Provenance
Sacha, D., Kraus, M., Bernard, J., Behrisch, M., Schreck, T., Asano, Y., Keim, D.
IEEE Transactions on Visualization and Computer Graphics (TVCG) pp. 120-130, (2018). doi: 10.1109/TVCG.2017.2744805
J013 Using dashboard networks to visualize multiple patient histories: a design study on post-operative prostate cancer
Bernard, J., Sessler, D., Kohlhammer, J., Ruddle, R.
IEEE Transactions on Visualization and Computer Graphics (TVCG) pp. 1615-1628, (2018). doi: 10.1109/TVCG.2018.2803829
J012 VIAL: a unified process for visual interactive labeling
Bernard, J., Zeppelzauer, M., Sedlmair, M., Aigner, W.
The Visual Computer (TVCJ) pp. 1189-1207, (2018). doi: 10.1007/s00371-018-1500-3
J011 Comparing Visual-Interactive Labeling with Active Learning: An Experimental Study
Bernard, J., Hutter, M., Zeppelzauer, M., Fellner, D., Sedlmair, M.
IEEE Transactions on Visualization and Computer Graphics (TCVG) pp. 298-308, (2018). doi: 10.1109/TVCG.2017.2744818
J010 Functional Outcomes and Quality of Life After Radical Prostatectomy Only Versus a Combination of Prostatectomy with Radiation and Hormonal Therapy
Adam, M., Tennstedt, P., Lanwehr, D., Tilki, D., Steuber, T., Beyer, B., Pehrke, D., Stattin, P., Bernard, J., Klaus, B., Loeb, S., Schlomm, T.
European Urology pp. 330-336, (2017). doi: https://doi.org/10.1016/j.eururo.2016.11.015
J009 Toxicity in a Multimodality Approach of Radical Prostatectomy with Radiation and Hormonal Therapy
Loeb, S., Adam, M., Tennstedt, P., Huber, W., Bernard, J., Tilki, D., Graefen, M., Huland, H., Schlomm, T.
Journal of Clinical Oncology (JCO) pp. 107, (2016).
J008 A Visual-Interactive System for Prostate Cancer Cohort Analysis
Bernard, J., Sessler, D., May, T., Schlomm, T., Pehrke, D., Kohlhammer, J.
Computer Graphics and Applications (CG&A), IEEE pp. 44-55, (2015). doi: 10.1109/MCG.2015.49
J007 VisInfo: a digital library system for time series research data based on exploratory search—a user-centered design approach
Bernard, J., Daberkow, D., Fellner, D., Fischer, K., Koepler, O., Kohlhammer, J., Runnwerth, M., Ruppert, T., Schreck, T., Sens, I.
International Journal on Digital Libraries (IJoDL), Springer pp. 37-59, (2015). doi: 10.1007/s00799-014-0134-y
J006 Visual-interactive Exploration of Interesting Multivariate Relations in Mixed Research Data Sets
Bernard, J., Steiger, M., Widmer, S., Lücke-Tieke, H., May, T., Kohlhammer, J.
Computer Graphics Forum (CGF) pp. 291-300, (2014). doi: 10.1111/cgf.12385
J005 Visual Analysis of Time-Series Similarities for Anomaly Detection in Sensor Networks
Steiger, M., Bernard, J., Mittelstädt, S., Lücke-Tieke, H., Keim, D., May, T., Kohlhammer, J.
Computer Graphics Forum (CGF) pp. 401-410, (2014). doi: 10.1111/cgf.12396
J004 MotionExplorer: Exploratory Search in Human Motion Capture Data Based on Hierarchical Aggregation
Bernard, J., Wilhelm, N., Krüger, B., May, T., Schreck, T., Kohlhammer, J.
IEEE Transactions on Visualization and Computer Graphics (TVCG) pp. 2257-2266, (2013). doi: 10.1109/TVCG.2013.178
J003 Assisted Descriptor Selection Based on Visual Comparative Data Analysis
Bremm, S., von Landesberger, T., Bernard, J., Schreck, T.
Computer Graphics Forum (CGF) pp. 891-900, (2011). doi: 10.1111/j.1467-8659.2011.01938.x
J002 A visual digital library approach for time-oriented scientific primary data
Bernard, J., Brase, J., Fellner, D., Koepler, O., Kohlhammer, J., Ruppert, T., Schreck, T., Sens, I.
International Journal of Digital Libraries (IJoDL), ECDL 2010 Special Issue, Springer pp. 111-123, (2011). doi: 10.1007/s00799-011-0072-x
J001 Visual Cluster Analysis of Trajectory Data with Interactive Kohonen Maps
Schreck, T., Bernard, J., von Landesberger, T., Kohlhammer, J.
Information Visualization, Palgrave Macmillan pp. 14-29, (2009). doi: 10.1057/ivs.2008.29

Peer-reviewed Full Papers

P026 LayoutExOmizer: Interactive Exploration and Optimization of 2D Data Layouts
Schader, P., Beckmann, R., Graner, L., Bernard, J.
Vision, Modeling, and Visualization, (VMV), Eurographics Association pp. 99-107, (2021). doi: 10.2312/vmv.20211376
P025 Visualizing Time Series Consistency for Feature Selection
Cibulski, L., May, T., Preim, B., Bernard, J., Kohlhammer, J.
Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, Vaclav Skala-UNION Agency (2019). doi: http://hdl.handle.net/11025/35593
P024 Approaches and Challenges in the Visual-Interactive Comparison of Human Motion Data
Bernard, J., Vögele, A., Klein, R., Fellner, D.
Conference on Information Visualization Theory and Applications (IVAPP, VISIGRAPP) pp. 217-224, (2017). doi: 10.5220/0006127502170224
P023 Visual-Interactive Similarity Search for Complex Objects by Example of Soccer Player Analysis
Bernard, J., Ritter, C., Sessler, D., Zeppelzauer, M., Kohlhammer, J., Fellner, D.
Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (IVAPP, VISIGRAPP) (3) pp. 75-87, (2017). doi: 10.5220/0006116400750087
P022 Visual-Interactive Semi-Supervised Labeling of Human Motion Capture Data
Bernard, J., Dobermann, E., Vögele, A., Krüger, B., Kohlhammer, J.
Visualization and Data Analysis (VDA 2017) (2017). doi: https://doi.org/10.2352/ISSN.2470-1173.2017.1.VDA-387
P021 Visual Interactive Creation and Validation of Text Clustering Workflows to Explore Document Collections
Ruppert, T., Staab, M., Bannach, A., Lücke-Tieke, H., Bernard, J., Kuijper, A., Kohlhammer, J.
Electronic Imaging pp. 46-57, (2017). doi: doi:10.2352/ISSN.2470-1173.2017.1.VDA-388
P020 Exploratory search in time-oriented primary data
Bernard, J.
Ausgezeichnete Informatikdissertationen 2015 (D-16), Gesellschaft für Informatik (GI) pp. 11-20, (2016).
P019 Supporting Collaborative Political Decision Making: An Interactive Policy Process Visualization System
Ruppert, T., Bannach, A., Bernard, J., Lücke-Tieke, H., Ulmer, A., Kohlhammer, J.
Symposium on Visual Information Communication and Interaction, ACM pp. 104-111, (2016). doi: 10.1145/2968220.2968223
P018 A survey and task-based quality assessment of static 2D colormaps
Bernard, J., Steiger, M., Mittelstädt, S., Thum, S., Keim, D., Kohlhammer, J.
Electronic Imaging, SPIE Conference on Visualization and Data Analysis pp. 93970M-93970M-16, (2015). doi: 10.1117/12.2079841
P017 FuryExplorer: Visual-Interactive Exploration of Horse Motion Capture Data
Wilhelm, N., Vögele, A., Zsoldos, R., Licka, T., Krüger, B., Bernard, J.
Electronic Imaging, SPIE Conference on Visualization and Data Analysis (2015). doi: doi:10.1117/12.2080001
P016 Explorative Analysis of 2D Color Maps
Steiger, M., Bernard, J., Mittelstädt, S., Hutter, M., Keim, D., Thum, S., Kohlhammer, J.
Proceedings of WSCG (23), Eurographics Assciation, Vaclav Skala - Union Agency pp. 151-160, (2015).
P015 Visual Access to an Agent-based Simulation Model to Support Political Decision Making
Ruppert, T., Bernard, J., Ulmer, A., Lücke-Tieke, H., Kohlhammer, J.
Conference on Knowledge Technologies and Data-driven Business, ACM pp. 1-16, (2014). doi: 10.1145/2637748.2638410
P014 Combining Computational Models and Interactive Visualization to Support Rational Decision Making
Ruppert, T., Bernard, J., May, T., Kohlhammer, J.
Advances in Visual Computing (8887), Springer International Publishing pp. 345-356, (2014). doi: 10.1007/978-3-319-14249-4_33
P013 A Survey of Direction-preserving Layout Strategies
Steiger, M., Bernard, J., May, T., Kohlhammer, J.
Spring Conference on Computer Graphics, ACM pp. 21-28, (2014). doi: 10.1145/2643188.2643189
P012 User-Based Visual-Interactive Similarity Definition for Mixed Data Objects-Concept and First Implementation
Bernard, J., Sessler, D., Ruppert, T., Davey, J., Kuijper, A., Kohlhammer, J.
Proceedings of WSCG (22), Eurographics Assciation, Vaclav Skala - Union Agency pp. 329-338, (2014).
P011 Bridging Knowledge Gaps in Policy Analysis with Information Visualization
Ruppert, T., Bernard, J., Kohlhammer, J.
Conference on Electronic Government (EGOV/ePart Ongoing Research) (221), GI pp. 92-103, (2013).
P010 Adaptive Semantic Visualization for Bibliographic Entries
Nazemi, K., Retz, R., Bernard, J., Kohlhammer, J., Fellner, D.
Advances in Visual Computing (8034), Springer Berlin Heidelberg pp. 13-24, (2013). doi: 10.1007/978-3-642-41939-3_2
P009 Visual Access to Optimization Problems in Strategic Environmental Assessment
Ruppert, T., Bernard, J., Ulmer, A., Kuijper, A., Kohlhammer, J.
Advances in Visual Computing (8034), Springer Berlin Heidelberg pp. 361-372, (2013). doi: 10.1007/978-3-642-41939-3_35
P008 Content-based layouts for exploratory metadata search in scientific research data
Bernard, J., Ruppert, T., Scherer, M., Kohlhammer, J., Schreck, T.
ACM/IEEE-CS Joint Conference on Digital Libraries, ACM pp. 139-148, (2012). doi: 10.1145/2232817.2232844
P007 Visual-Interactive Preprocessing of Time Series Data
Bernard, J., Ruppert, T., Goroll, O., May, T., Kohlhammer, J.
SIGRAD, Swedish Chapter of Eurographics (81), Linköping University Electronic Press pp. 39-48, (2012).
P006 Guided Discovery of Interesting Relationships Between Time Series Clusters and Metadata Properties
Bernard, J., Ruppert, T., Scherer, M., Schreck, T., Kohlhammer, J.
International Conference on Knowledge Management and Knowledge Technologies, ACM pp. 1-22, (2012). doi: 10.1145/2362456.2362485
P005 TimeSeriesPaths: Projection-Based Explorative Analysis of Multivariate Time Series Data
Bernard, J., Wilhelm, N., Scherer, M., May, T., Schreck, T.
Journal of WSCG pp. 97-106, (2012).
P004 Retrieval and Exploratory Search in Multivariate Research Data Repositories Using Regressional Features
Scherer, M., Bernard, J., Schreck, T.
ACM/IEEE Joint Conference on Digital Libraries, ACM pp. 363-372, (2011). doi: 10.1145/1998076.1998144
P003 Multiscale visual quality assessment for cluster analysis with Self-Organizing Maps
Bernard, J., von Landesberger, T., Bremm, S., Schreck, T.
Electronic Imaging, SPIE Conference on Visualization and Data Analysis pp. 1-78680, (2011). doi: 10.1117/12.872545
P002 A Visual Digital Library Approach for Time-Oriented Research Data
Bernard, J., Brase, J., Fellner, D., Koepler, O., Kohlhammer, J., Ruppert, T., Schreck, T., Sens, I.
European Conference on Digital Libraries (6273), Springer pp. 352-363, (2010). doi: 10.1007/978-3-642-15464-5_35
P001 Visual Cluster Analysis of Trajectory Data with Interactive Kohonen Maps
Schreck, T., Bernard, J., Tekusova, T., Kohlhammer, J.
IEEE Symposium on Visual Analytics Science and Technology, IEEE Computer Society pp. 3-10, (2008). doi: 10.1109/VAST.2008.4677350

Peer-reviewed Workshop Publications

W033 Human-Based and Automatic Feature Ideation for Time Series Data: A Comparative Study
Schmidt, J., Piringer, H., Mühlbacher, T., Bernard, J.
EuroVis Workshop on Visual Analytics (EuroVA), The Eurographics Association (2023). doi: 10.2312/eurova.20231089
W032 Why am I reading this? Explaining Personalized News Recommender Systems
Arnórsson, S., Abeillon, F., Al-Hazwani, I., Bernard, J., Hauptmann (Schäfer), H., El-Assady, M.
EuroVis Workshop on Visual Analytics (EuroVA), The Eurographics Association (2023). doi: 10.2312/eurova.20231099
W031 What Shall We Watch Tonight? Why Sometimes Your Favourite Streaming Service Just Cannot Manage to Recommend Anything Interesting
Al-Hazwani, I., Morgenshtern, G., Rutishauser, Y., El-Assady, M., Bernard, J.
IEEE VIS Workshop on Visualization for AI Explainability (2022).
W030 A Data-Centric Methodology and Task Typology for Time-Stamped Event Sequences
Peiris, Y., Barth, C., Huang, E., Bernard, J.
VIS Workshop on Evaluation and Beyond — Methodological Approaches for Visualization (BELIV), IEEE pp. 66-76, (2022). doi: 10.1109/BELIV57783.2022.00012
W029 RankASco: A Visual Analytics Approach to Leverage Attribute-Based User Preferences for Item Rankings
Schmid, J., Cibulski, L., Al-Hazwani, I., Bernard, J.
EuroVis Workshop on Visual Analytics (EuroVA), The Eurographics Association (2022). doi: 10.2312/eurova.20221072
W028 Interactive Visual Explanation of Incremental Data Labeling
Beckmann, R., Blaga, C., El-Assady, M., Zeppelzauer, M., Bernard, J.
EuroVis Workshop on Visual Analytics (EuroVA), The Eurographics Association (2022). doi: 10.2312/eurova.20221073
W027 A Taxonomy of Attribute Scoring Functions
Schmid, J., Bernard, J.
EuroVis Workshop on Visual Analytics (EuroVA), The Eurographics Association (2021). doi: 10.2312/eurova.20211095
W026 LFPeers: Temporal Similarity Search in Covid-19 Data
Burmeister, J., Bernard, J., Kohlhammer, J.
EuroVis Workshop on Visual Analytics (EuroVA), The Eurographics Association (2021). doi: 10.2312/eurova.20211098
W025 SepEx: Visual Analysis of Class Separation Measures
Bernard, J., Hutter, M., Zeppelzauer, M., Sedlmair, M., Munzner, T.
EuroVis Workshop on Visual Analytics (EuroVA), The Eurographics Association (2020). doi: 10.2312/eurova.20201079
W024 Learning and Teaching in Co-Adaptive Guidance for Mixed-Initiative Visual Analytics
Sperrle, F., Jeitler, A., Bernard, J., Keim, D., El-Assady, M.
EuroVis Workshop on Visual Analytics (EuroVA), The Eurographics Association (2020). doi: 10.2312/eurova.20201088
W023 Visual Analysis of Degree-of-Interest Functions to Support Selection Strategies for Instance Labeling
Bernard, J., Hutter, M., Ritter, C., Lehmann, M., Sedlmair, M., Zeppelzauer, M.
EuroVis Workshop on Visual Analytics (EuroVA), The Eurographics Association (2019). doi: 10.2312/eurova.20191116
W022 Shall we play?—Extending the Visual Analytics Design Space through Gameful Design Concepts
Sevastjanova, R., Hauptmann (Schäfer), H., Bernard, J., Keim, D., El-Assady, M.
MLUI 2019: Machine Learning from User Interactions for Visualization and Analytics, IEEE VIS 2019 workshop (2019).
W021 Self-Service Data Preprocessing and Cohort Analysis for Medical Researchers
Burmeister, J., Bernard, J., May, T., Kohlhammer, J.
IEEE Workshop on Visual Analytics in Healthcare (VAHC) pp. 17-24, (2019). doi: 10.1109/VAHC47919.2019.8945040
W020 mVis in the Wild: Pre-Study of an Interactive Visual Machine Learning System for Labelling
Chegini, M., Bernard, J., Shao, L., Sourin, A., Andrews, K., Schreck, T.
IEEE VIS 2019 Workshop on Evaluation of Interactive Visual Machine Learning Systems (2019).
W019 Quantifying Uncertainty in Multivariate Time Series Pre-Processing
Bors, C., Bernard, J., Bögl, M., Gschwandtner, T., Kohlhammer, J., Miksch, S.
EuroVis Workshop on Visual Analytics (EuroVA), The Eurographics Association (2019). doi: 10.2312/eurova.20191121
W018 Speculative Execution for Guided Visual Analytics
Sperrle, F., Bernard, J., Sedlmair, M., Keim, D., El-Assady, M.
VIS Workshop on Machine Learning from User Interaction for Visualization and Analytics, IEEE (2018).
W017 Minions, Sheep, and Fruits: Metaphorical Narratives to Explain Artificial Intelligence and Build Trust
Jentner, W., Sevastjanova, R., Stoffel, F., Keim, D., Bernard, J., El-Assady, M.
IEEE VIS Workshop on Visualization for AI Explainability (2018).
W016 Computer-supported Interactive Assignment of Keywords for Literature Collections
Agarwal, S., Bernard, J., Beck, F.
IEEE VIS Workshop on Machine Learning from User Interaction for Visualization and Analytics, IEEE (2018).
W015 Lowering the Barrier for Successful Replication and Evaluation
Lücke-Tieke, H., Beuth, M., Schader, P., May, T., Bernard, J., Kohlhammer, J.
IEEE VIS Workshop on Evaluation and Beyond - Methodological Approaches for Visualizations (BELIV), IEEE (2018).
W014 Personalized Visual-Interactive Music Classification
Ritter, C., Altenhofen, C., Zeppelzauer, M., Kuijper, A., Schreck, T., Bernard, J.
EuroVis Workshop on Visual Analytics (EuroVA), The Eurographics Association (2018). doi: 10.2312/eurova.20181109
W013 Combining the Automated Segmentation and Visual Analysis of Multivariate Time Series
Bernard, J., Bors, C., Bögl, M., Eichner, C., Gschwandtner, T., Miksch, S., Schumann, H., Kohlhammer, J.
EuroVis Workshop on Visual Analytics (EuroVA), The Eurographics Association (2018). doi: 10.2312/eurova.20181112
W012 A Unified Process for Visual-Interactive Labeling
Bernard, J., Zeppelzauer, M., Sedlmair, M., Aigner, W.
EuroVis Workshop on Visual Analytics (EuroVA), The Eurographics Association (2017). doi: 10.2312/eurova.20171123
W011 Visual analytics for radiomics: Combining medical imaging with patient data for clinical research
Bannach, A., Bernard, J., Jung, F., Kohlhammer, J., May, T., Scheckenbach, K., Wesarg, S.
IEEE Workshop on Visual Analytics in Healthcare (VAHC), IEEE pp. 84-91, (2017). doi: 10.1109/VAHC.2017.8387545
W010 Combining Cluster and Outlier Analysis with Visual Analytics
Bernard, J., Dobermann, E., Sedlmair, M., Fellner, D.
EuroVis Workshop on Visual Analytics (EuroVA), The Eurographics Association (2017). doi: 10.2312/eurova.20171114
W009 Structuring the Strategies for Integrating Visualization into Automated Modeling Techniques for Visual Analytics
May, T., Bernard, J., Kohlhammer, J.
IEEE VIS Workshop on Creation, Curation, Critique and Conditioning of Principles and Guidelines in Visualization (C4PGV) (2016).
W008 Visual-Interactive Segmentation of Multivariate Time Series
Bernard, J., Dobermann, E., Bögl, M., Röhlig, M., Vögele, A., Kohlhammer, J.
EuroVis Workshop on Visual Analytics (EuroVA), The Eurographics Association (2016). doi: 10.2312/eurova.20161121
W007 Visual-Interactive Exploration of Relations Between Time-Oriented Data and Multivariate Data
Bernard, J., Sessler, D., Steiger, M., Spott, M., Kohlhammer, J.
EuroVis Workshop on Visual Analytics (EuroVA), The Eurographics Association (2016). doi: 10.2312/eurova.20161124
W006 Methods and a research agenda for the evaluation of event sequence visualization techniques
Ruddle, R., Bernard, J., May, T., Lücke-Tieke, H., Kohlhammer, J.
IEEE VIS 2016 Workshop on Temporal \& Sequential Event Analysis. (2016).
W005 Visual-Interactive Text Analysis to Support Political Decision Making - From Sentiments to Arguments to Policies
Ruppert, T., Bernard, J., Lücke-Tieke, H., May, T., Kohlhammer, J.
EuroVis Workshop on Visual Analytics (EuroVA), The Eurographics Association (2015). doi: 10.2312/eurova.20151101
W004 Visual Analysis of Relations in Attributed Time-Series Data
Steiger, M., Bernard, J., Schader, P., Kohlhammer, J.
EuroVis Workshop on Visual Analytics (EuroVA), The Eurographics Association (2015). doi: 10.2312/eurova.20151105
W003 A Visual Active Learning System for the Assessment of Patient Well-being in Prostate Cancer Research
Bernard, J., Sessler, D., Bannach, A., May, T., Kohlhammer, J.
IEEE VIS Workshop on Visual Analytics in Healthcare, ACM pp. 1-8, (2015). doi: 10.1145/2836034.2836035
W002 A Visual-interactive System for Prostate Cancer Stratifications
Bernard, J., Sessler, D., May, T., Schlomm, T., Pehrke, D., Kohlhammer, J.
IEEE Vis Workshop on Visualizing Electronic Health Record Data (EHRVis), IEEE Computer Society (2014).
W001 Smart Query Definition for Content-Based Search in Large Sets of Graphs
von Landesberger, T., Bremm, S., Bernard, J., Schreck, T.
International Symposium on Visual Analytics Science and Technology, Eurographics Association pp. 7-12, (2010).

Peer-reviewed Short Papers

S007 The Future of Interactive Data Analysis and Visualization
Bernard, J., El-Assady, M.
EuroVis 2023 - Panel, The Eurographics Association (2023). doi: 10.2312/evt.20231119
S006 RiskFix: Supporting Expert Validation of Predictive Timeseries Models in High-Intensity Settings
Morgenshtern, G., Verma, A., Tonekaboni, S., Greer, R., Bernard, J., Mazwi, M., Goldenberg, A., Chevalier, F.
EuroVis 2023 - Short Papers, The Eurographics Association (2023). doi: 10.2312/evs.20231036
S005 Does the Layout Really Matter? A Study on Visual Model Accuracy Estimation
Grossmann, N., Bernard, J., Sedlmair, M., Waldner, M.
IEEE Visualization Conference - Short Papers, IEEE pp. 61-65, (2021). doi: 10.1109/VIS49827.2021.9623326
S004 Learning from the Best - Visual Analysis of a Quasi-Optimal Data Labeling Strategy
Bernard, J., Hutter, M., Lehmann, M., Müller, M., Zeppelzauer, M., Sedlmair, M.
EuroVis 2018 - Short Papers, The Eurographics Association (2018). doi: 10.2312/eurovisshort.20181085
S003 Visual Access to Performance Indicators in the Mining Sector
Ruppert, T., Bannach, A., Bernard, J., Lokanc, M., Kohlhammer, J.
EuroVis 2017 - Short Papers, The Eurographics Association (2017). doi: 10.2312/eurovisshort.20171150
S002 Visual Analytics of Work Behavior Data - Insights on Individual Differences
Koldijk, S., Bernard, J., Ruppert, T., Kohlhammer, J., Neerincx, M., Kraaij, W.
Eurographics Conference on Visualization (EuroVis) - Short Papers, The Eurographics Association (2015). doi: 10.2312/eurovisshort.20151129
S001 Revisiting Perceptually Optimized Color Mapping for High-Dimensional Data Analysis
Mittelstädt, S., Bernard, J., Schreck, T., Steiger, M., Kohlhammer, J., Keim, D.
EuroVis - Short Papers, The Eurographics Association (2014). doi: 10.2312/eurovisshort.20141163

Posters

O013 ORD-Xplore: Bridging Open Research Data Collections through Modality Abstractions
Sachdeva, M., Blum, M., Stricker, Y., Schreck, T., Mumenthaler, R., Bernard, J.
EuroVis 2023 - Posters, The Eurographics Association (2023). doi: 10.2312/evp.20231065
O012 Interaction Tasks for Explainable Recommender Systems
Al-Hazwani, I., Alahmadi, T., Wardatzky, K., Inel, O., El-Assady, M., Bernard, J.
EuroVis 2023 - Posters, The Eurographics Association (2023). doi: 10.2312/evp.20231062
O011 A Design Space for Explainable Ranking and Ranking Models
Al-Hazwani, I., Schmid, J., Sachdeva, M., Bernard, J.
EuroVis 2022 - Posters, The Eurographics Association (2022). doi: 10.2312/evp.20221114
O010 Toxicity in a Multimodality Approach of Radical Prostatectomy with Radiation and Hormonal Therapy
Loeb, S., Adam, M., Tennstedt, P., Huber, W., Bernard, J., Tilki, D., Graefen, M., Huland, H., Schlomm, T.
Genitourinary Cancers Symposium (2016).
O009 Towards Combining Attribute-based and Time Series-based Visual Querying
Sessler, D., Spott, M., Nauck, D., Harmer, W., Kohlhammer, J., Bernard, J.
EuroVis 2016 - Posters, The Eurographics Association (2016). doi: 10.2312/eurp.20161145
O008 Enhancing Time Series Segmentation and Labeling Through the Knowledge Generation Model
Gschwandtner, T., Schumann, H., Bernard, J., May, T., Bögl, M., Miksch, S., Kohlhammer, J., Röhlig, M., Alsallakh, B.
Eurographics Conference on Visualization (EuroVis) - Poster, The Eurographics Association (2015).
O007 Towards a User-Defined Visual-Interactive Definition of Similarity Functions for Mixed Data
Bernard, J., Sessler, D., Behrisch, M., Hutter, M., Schreck, T., Kohlhammer, J.
IEEE Symposium on Visual Analytics Science and Technology (Poster Paper) (2014). doi: 10.1109/VAST.2014.7042503
O006 Towards a Tighter Coupling of Visualization and Public Policy Making
Ruppert, T., Bernard, J., Lücke-Tieke, H., Kohlhammer, J.
Proc. IEEE Symposium on Visual Analytics Science and Technology (Poster Paper) (2014). doi: 10.1109/VAST.2014.7042525
O005 Adopting Mental Similarity Notions of Categorical Data Objects to Algorithmic Similarity Functions
Sessler, D., Bernard, J., Kuijper, A., Kohlhammer, J.
Vision, Modelling and Visualization (VMV) (2014). doi: 10.13140/RG.2.2.19683.25129
O004 Interactive Multi-Criteria Optimization of 2D Color Maps
Hutter, M., Steiger, M., Bernard, J., Zurloh, C., Kohlhammer, J.
Vision, Modelling and Visualization (VMV) (2014). doi: 10.13140/RG.2.2.34782.74560
O003 Visual Exploration of Local Interest Points in Sets of Time Series
Schreck, T., Sharalieva, L., Wanner, F., Bernard, J., Ruppert, T., von Landesberger, T., Bustos, B.
Proc. IEEE Symposium on Visual Analytics Science and Technology (Poster Paper) (2012). doi: 10.1109/VAST.2012.6400534
O002 Cluster Correspondence Views for Enhanced Analysis of SOM Displays
Bernard, J., von Landesberger, T., Bremm, S., Schreck, T.
IEEE Symposium on Visual Analytics Science and Technology pp. 217-218, (2010). doi: 10.1109/VAST.2010.5651676
O001 Micro-Macro Views for Visual Trajectory Cluster Analysis
Bernard, J., von Landesberger, T., Bremm, S., Schreck, T.
Eurographics/IEEE Symposium on Visualization (2009).

Data Sets (Open Access)

D007 100 Synthetic Datasets for the Analysis of Class Separation Measures
Bernard, J., Hutter, M., Zeppelzauer, M., Sedlmair, M., Munzner, T.
Used in Publication - SepEx: Visual Analysis of Class Separation Measures (2020).
D006 30 years of synoptic observations from Neumayer Station with links to datasets
Bernard, J., König-Langlo, G., Sieger, R.
PANGAEA - Data Publisher for Earth and Environmental Science (2014). doi: 10.1594/PANGAEA.150017
D005 Reference list of 120 datasets from time series station Payerne used for exploratory search
Bernard, J., Wilhelm, N., Scherer, M., May, T., Schreck, T.
PANGAEA - Data Publisher for Earth and Environmental Science (2012). doi: doi:10.1594/PANGAEA.783598
D004 Reference list of 265 sources used for the discovery of relationships between data clusters and metadata properties
Bernard, J., Ruppert, T., Scherer, M., Schreck, T., Kohlhammer, J.
PANGAEA - Data Publisher for Earth and Environmental Science (2012). doi: doi:10.1594/PANGAEA.785666
D003 Reference list of 269 sources used for exploratory search
Bernard, J., Ruppert, T., Scherer, M., Schreck, T.
PANGAEA - Data Publisher for Earth and Environmental Science (2012). doi: 10.1594/PANGAEA.778638
D002 Time-oriented earth observation measurements from the Baseline Surface Radiation Network (BSRN) in the years 1992 to 2012, reference list of 6813 datasets
Bernard, J., König-Langlo, G., Sieger, R.
PANGAEA - Data Publisher for Earth and Environmental Science (2012). doi: doi:10.1594/PANGAEA.787726
D001 Reference list of sources used for two experimental data files dataBSRN and dataMixed
Scherer, M., Bernard, J., Schreck, T.
PANGAEA - Data Publisher for Earth and Environmental Science (2011). doi: doi:10.1594/PANGAEA.756307

Teaching

Lecture Interactive Visual Data Analysis 6 ECTS [Fall Term 2023]
Seminar Visual Analytics 3 ECTS [Fall Term 2023]
Supervision Fundamentals of People Oriented Computing 6 ECTS [Fall Term 2023]
Seminar Interactive Visual Data Analysis 3 ECTS [Spring Term 2023]
Seminar Interactive Data Science in Digital Health 3 ECTS [Spring Term 2023]
Lecture Interactive Visual Data Analysis 6 ECTS [Fall Term 2022]
Supervision Fundamentals of People Oriented Computing 6 ECTS [Fall Term 2022]
Seminar Interactive Visual Data Analysis 3 ECTS [Spring Term 2022]
Seminar Interactive Data Science in Digital Health 3 ECTS [Spring Term 2022]
Lecture Introduction to Interactive Visual Data Analysis 3 ECTS [Fall Term 2021]
Supervision Fundamentals of People Oriented Computing 6 ECTS [Fall Term 2021]
Seminar Interactive Visual Data Analysis 3 ECTS [Spring Term 2021]
Seminar Creating Evidence in Digital and Mobile Health 3 ECTS [Spring Term 2021]
Lecture Exercise Information Visualization and Visual Analytics L2+E2 [WS 2018/19]
Practical Course Visual Computing Lab P4 [WS 2018/19]
Lecture User-Centered Design in Visual Computing V2 [SS 2018]
Practical Course Visual Computing Lab P4 [SS 2018]
Practical Course Advanced Visual Computing Lab P4 [SS 2018]
Practical Course Visual Computing Lab P4 [WS 2017/18]
Lecture User-Centered Design in Visual Computing V2 [SS 2017]
Practical Course Visual Computing Lab P4 [SS 2017]
Practical Course Advanced Visual Computing Lab P4 [SS 2017]
Lecture Exercise Information Visualization and Visual Analytics L2+E2 [WS 2016/17]
Practical Course Visual Computing Lab P4 [WS 2016/17]
Practical Course Visual Computing Lab P4 [SS 2016]
Seminar Visual Analytics: Interactive Visualization of very large amounts of data S2 [SS 2016]
Practical Course Visual Computing P4 [WS 2015/16]
Practical Course Programmierung eines graphischen Systems P4 [SS 2015]
Practical Course Fortgeschrittene Programmierung eines Graphischen Systems P4 [WS 2014/15]
Seminar Visual Analytics: Interaktive Visualisierung sehr großer Datenmengen S2 [SS 2014]
Practical Course Fortgeschrittene Programmierung eines Graphischen Systems P4 [WS 2013/14]
Practical Course Fortgeschrittene Programmierung eines Graphischen Systems P4 [SS 2013]
Seminar Visual Analytics: Interaktive Visualisierung sehr großer Datenmengen S2 [SS 2012]
Practical Course Fortgeschrittene Programmierung eines Graphischen Systems P4 [SS 2012]
Lecture Exercise Information Visualization and Visual Analytics V4 [WS 2011/12]
Seminar Visualisierung und interaktive Analyse naturwissenschaftlicher Daten S2 [WS 2011/12]
Practical Course Fortgeschrittene Programmierung eines Graphischen Systems P4 [WS 2011/12]
Seminar Visual Analytics: Interaktive Visualisierung sehr großer Datenmengen S2 [SS 2011]
Practical Course Fortgeschrittene Programmierung eines graphischen Systems P4 [SS 2011]
Seminar Visual Analytics: Interaktive Visualisierung sehr großer Datenmengen S2 [WS 2010/11]
Practical Course Programmierung eines graphischen Systems P4 [WS 2010/11]

Publication Gallery

[Impressum] [Bibliography]