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Marco Hutter 0002

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affiliation: TU Darmstadt, Germany
affiliation: Fraunhofer IGD, Darmstadt, Germany

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2020 – today

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2021
[j5]
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Jürgen Bernard, Marco Hutter, Matthias Zeppelzauer, Michael Sedlmair, Tamara Munzner:
ProSeCo: Visual analysis of class separation measures and dataset characteristics. Comput. Graph. 96: 48-60 (2021)
[j4]
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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)
2020
[c8]
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Jürgen Bernard, Marco Hutter, Matthias Zeppelzauer, Michael Sedlmair, Tamara Munzner:
SepEx: Visual Analysis of Class Separation Measures. EuroVA@Eurographics/EuroVis 2020: 7-11
[c7]
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Bernhard G. Humm, Marco Hutter:
Learning Patterns for Complex Event Detection in Robot Sensor Data. OLA 2020: 138-149

2010 – 2019

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2019
[j3]
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Jürgen Bernard, Marco Hutter, Heiko Reinemuth, Hendrik Pfeifer, Christian Bors, Jörn Kohlhammer:
Visual-Interactive Preprocessing of Multivariate Time Series Data. Comput. Graph. Forum 38(3): 401-412 (2019)
[c6]
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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
2018
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Jürgen Bernard, Marco Hutter, Matthias Zeppelzauer, Dieter W. Fellner, Michael Sedlmair:
Comparing Visual-Interactive Labeling with Active Learning: An Experimental Study. IEEE Trans. Vis. Comput. Graph. 24(1): 298-308 (2018)
[c5]
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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
2015
[c4]
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James Twellmeyer, Marco Hutter, Michael Behrisch, Jörn Kohlhammer, Tobias Schreck:
The Visual Exploration of Aggregate Similarity for Multi-dimensional Clustering. IVAPP 2015: 40-50
2014
[c3]
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Jürgen Bernard, Marco Hutter, David Sessler, Tobias Schreck, Michael Behrisch, Jörn Kohlhammer:
Towards a user-defined visual-interactive definition of similarity functions for mixed data. IEEE VAST 2014: 227-228
[c2]
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Kawa Nazemi, Arjan Kuijper, Marco Hutter, Jörn Kohlhammer, Dieter W. Fellner:
Measuring context relevance for adaptive semantics visualizations. I-KNOW 2014: 14:1-14:8
[c1]
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Martin Steiger, Marco Hutter, Philipp Schader, Jörn Kohlhammer, Arjan Kuijper:
Exploring Simulation in Sensor Network Models. VMV 2014: 135-142

2000 – 2009

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2007
[j1]
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Marco Hutter, Arnulph Fuhrmann:
Optimized Continuous Collision Detection for Deformable Triangle Meshes. J. WSCG 15(1-3): 25-32 (2007)

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