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Michael Blumenschein

Michael Hund

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affiliation: University of Konstanz, Germany
not to be confused with: Michael Hundt

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2020 – today

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2024
[c16]
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  - conf/gecon2/LauberBP24
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Anna-Marie Lauber, Michael Blumenschein, Barbara Pampel:
Teaching Programming Skills in Large Digital Settings: Challenges and Experiences. GeCon 2024: 1-6
2023
[c15]
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Dagmar Sorg, Michael Blumenschein, Ulrich Wacker, Michael Grossniklaus, Barbara Pampel:
Gelingensbedingungen für berufsbegleitende Nachqualifizierungen von Lehrkräften im Fach Informatik. INFOS 2023: 103-112
[d2]
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David Pomerenke, Frederik L. Dennig, Daniel A. Keim, Johannes Fuchs, Michael Blumenschein:
Replication Data for: "Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost Clusters". 2.0. DaRUS, 2023 [all versions]
[d1]
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David Pomerenke, Frederik L. Dennig, Daniel A. Keim, Johannes Fuchs, Michael Blumenschein:
Replication Data for: "Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost Clusters". 2.1. DaRUS, 2023 [all versions]
2022
[c14]
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Elliot Koh, Michael Blumenschein, Lin Shao, Tobias Schreck:
Reordering Sets of Parallel Coordinates Plots to Highlight Differences in Clusters. EuroVA@EuroVis 2022: 55-59
2021
[j8]
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Frederik L. Dennig, Maximilian T. Fischer, Michael Blumenschein, Johannes Fuchs, Daniel A. Keim, Evanthia Dimara:
ParSetgnostics: Quality Metrics for Parallel Sets. Comput. Graph. Forum 40(3): 375-386 (2021)
[j7]
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Alessio Bellino, Valeria Herskovic, Michael Hund, Jorge Munoz-Gama:
A Real-world Approach to Motivate Students on the First Class of a Computer Science Course. ACM Trans. Comput. Educ. 21(3): 22:1-22:23 (2021)
2020
[b1]
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Michael Blumenschein:
Pattern-Driven Design of Visualizations for High-Dimensional Data. University of Konstanz, Germany, 2020
[j6]
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Michael Blumenschein, Xuan Zhang, David Pomerenke, Daniel A. Keim, Johannes Fuchs:
Evaluating Reordering Strategies for Cluster Identification in Parallel Coordinates. Comput. Graph. Forum 39(3): 537-549 (2020)
[j5]
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Michael Blumenschein, Luka J. Debbeler, Nadine C. Lages, Britta Renner, Daniel A. Keim, Mennatallah El-Assady:
v-plots: Designing Hybrid Charts for the Comparative Analysis of Data Distributions. Comput. Graph. Forum 39(3): 565-577 (2020)

2010 – 2019

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2019
[c13]
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Christin Schätzle, Frederik L. Dennig, Michael Blumenschein, Daniel A. Keim, Miriam Butt:
Visualizing Linguistic Change as Dimension Interactions. LChange@ACL 2019: 272-278
[c12]
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David Pomerenke, Frederik L. Dennig, Daniel A. Keim, Johannes Fuchs, Michael Blumenschein:
Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost Clusters. IEEE VIS (Short Papers) 2019: 86-90
[c11]
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Matthias Miller, Xuan Zhang, Johannes Fuchs, Michael Blumenschein:
Evaluating Ordering Strategies of Star Glyph Axes. IEEE VIS (Short Papers) 2019: 91-95
[i2]
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David Pomerenke, Frederik L. Dennig, Daniel A. Keim, Johannes Fuchs, Michael Blumenschein:
Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost Clusters. CoRR abs/1908.00500 (2019)
[i1]
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Matthias Miller, Xuan Zhang, Johannes Fuchs, Michael Blumenschein:
Evaluating Ordering Strategies of Star Glyph Axes. CoRR abs/1908.00576 (2019)
2018
[j4]
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Michael Behrisch, Michael Blumenschein, Nam Wook Kim, Lin Shao, Mennatallah El-Assady, Johannes Fuchs, Daniel Seebacher, Alexandra Diehl, Ulrik Brandes, Hanspeter Pfister, Tobias Schreck, Daniel Weiskopf, Daniel A. Keim:
Quality Metrics for Information Visualization. Comput. Graph. Forum 37(3): 625-662 (2018)
[c10]
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Houssem Ben Lahmar, Melanie Herschel, Michael Blumenschein, Daniel A. Keim:
Provenance-Based Visual Data Exploration with EVLIN. EDBT 2018: 686-689
[c9]
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Michael Blumenschein, Michael Behrisch, Stefanie Schmid, Simon Butscher, Deborah R. Wahl, Karoline Villinger, Britta Renner, Harald Reiterer, Daniel A. Keim:
SMARTexplore: Simplifying High-Dimensional Data Analysis through a Table-Based Visual Analytics Approach. VAST 2018: 36-47
2017
[j3]
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Michael Behrisch, Benjamin Bach, Michael Hund, Michael Delz, Laura von Rüden, Jean-Daniel Fekete, Tobias Schreck:
Magnostics: Image-Based Search of Interesting Matrix Views for Guided Network Exploration. IEEE Trans. Vis. Comput. Graph. 23(1): 31-40 (2017)
[c8]
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Christin Schätzle, Michael Hund, Frederik L. Dennig, Miriam Butt, Daniel A. Keim:
HistoBankVis: Detecting Language Change via Data Visualization. ListLang@NoDaLiDa 2017: 32-39
[c7]
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Dominik Jäckle, Michael Hund, Michael Behrisch, Daniel A. Keim, Tobias Schreck:
Pattern Trails: Visual Analysis of Pattern Transitions in Subspaces. VAST 2017: 1-12
[c6]
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  - conf/vissoft/MerinoFBAGNBK17
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Leonel Merino, Johannes Fuchs, Michael Blumenschein, Craig Anslow, Mohammad Ghafari, Oscar Nierstrasz, Michael Behrisch, Daniel A. Keim:
On the Impact of the Medium in the Effectiveness of 3D Software Visualizations. VISSOFT 2017: 11-21
2016
[j2]
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  - journals/braininf/HundBSSSUKMH16
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Michael Hund, Dominic Böhm, Werner Sturm, Michael Sedlmair, Tobias Schreck, Torsten Ullrich, Daniel A. Keim, Ljiljana Majnaric, Andreas Holzinger:
Visual analytics for concept exploration in subspaces of patient groups. Brain Informatics 3(4): 233-247 (2016)
[c5]
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Christoph Schulz, Arlind Nocaj, Mennatallah El-Assady, Steffen Frey, Marcel Hlawatsch, Michael Hund, Grzegorz Karol Karch, Rudolf Netzel, Christin Schätzle, Miriam Butt, Daniel A. Keim, Thomas Ertl, Ulrik Brandes, Daniel Weiskopf:
Generative Data Models for Validation and Evaluation of Visualization Techniques. BELIV 2016: 112-124
[c4]
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Leishi Zhang, Chris Rooney, Lev Nachmanson, B. L. William Wong, Bum Chul Kwon, Florian Stoffel, Michael Hund, Nadeem Qazi, Uchit Singh, Daniel A. Keim:
Spherical Similarity Explorer for Comparative Case Analysis. Visualization and Data Analysis 2016: 1-10
2015
[c3]
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  - conf/brain/HundSSUKMH15
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Michael Hund, Werner Sturm, Tobias Schreck, Torsten Ullrich, Daniel A. Keim, Ljiljana Majnaric, Andreas Holzinger:
Analysis of Patient Groups and Immunization Results Based on Subspace Clustering. BIH 2015: 358-368
[c2]
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Michael Hund, Michael Behrisch, Ines Färber, Michael Sedlmair, Tobias Schreck, Thomas Seidl, Daniel A. Keim:
Subspace Nearest Neighbor Search - Problem Statement, Approaches, and Discussion - Position Paper. SISAP 2015: 307-313
2013
[c1]
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Ming C. Hao, Manish Marwah, Sebastian Mittelstädt, Halldór Janetzko, Daniel A. Keim, Umeshwar Dayal, Cullen E. Bash, Carlos J. Felix, Chandrakant D. Patel, Meichun Hsu, Yuan Chen, Michael Hund:
Visual analytics of cyber physical data streams using spatio-temporal radial pixel visualization. Visualization and Data Analysis 2013: 865404
2012
[j1]
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Christian Rohrdantz, Michael Hund, Thomas Mayer, Bernhard Wälchli, Daniel A. Keim:
The World's Languages Explorer: Visual Analysis of Language Features in Genealogical and Areal Contexts. Comput. Graph. Forum 31(3pt1): 935-944 (2012)

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