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ORCIDMichael Behrisch 0001
Person information
- affiliation: Utrecht University, The Netherlands
- affiliation (former): Harvard University, School of Engineering and Applied Science, USA
- affiliation (PhD 2017): University of Konstanz, Germany
Other persons with the same name
- Michael Behrisch 0002 — German Aerospace Center (DLR), Berlin, Germany (and 1 more)
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2020 – today
- 2024
[j19]Alister Machado
, Alexandru C. Telea, Michael Behrisch:
Controlling the scatterplot shapes of 2D and 3D multidimensional projections. Comput. Graph. 124: 104093 (2024)- [j18]Alister Machado, Michael Behrisch, Alexandru C. Telea:
Exploring Classifiers with Differentiable Decision Boundary Maps. Comput. Graph. Forum 43(3) (2024) - [j17]Stefan P. Feyer, Bruno Pinaud, Stephen G. Kobourov, Nicolas Brich, Michael Krone, Andreas Kerren, Michael Behrisch, Falk Schreiber, Karsten Klein:
2D, 2.5D, or 3D? An Exploratory Study on Multilayer Network Visualisations in Virtual Reality. IEEE Trans. Vis. Comput. Graph. 30(1): 469-479 (2024) - [i10]Daniel Atzberger, Tim Cech, Willy Scheibel, Jürgen Döllner, Michael Behrisch, Tobias Schreck:
A Large-Scale Sensitivity Analysis on Latent Embeddings and Dimensionality Reductions for Text Spatializations. CoRR abs/2407.17876 (2024) - 2023
- [j16]Yuncong Yu, Tim Becker, Le Minh Trinh, Michael Behrisch:
SAXRegEx: Multivariate time series pattern search with symbolic representation, regular expression, and query expansion. Comput. Graph. 112: 13-21 (2023) - [j15]Christian Tominski, Michael Behrisch, Susanne Bleisch, Sara Irina Fabrikant, Eva Mayr, Silvia Miksch, Helen C. Purchase:
Visualizing Uncertainty in Sets. IEEE Computer Graphics and Applications 43(5): 49-61 (2023) - [j14]Yuncong Yu, Dylan Kruyff, Jiao Jiao, Tim Becker, Michael Behrisch:
PSEUDo: Interactive Pattern Search in Multivariate Time Series with Locality-Sensitive Hashing and Relevance Feedback. IEEE Trans. Vis. Comput. Graph. 29(1): 33-42 (2023) - [c25]Alister Machado, Alexandru C. Telea, Michael Behrisch:
ShaRP: Shape-Regularized Multidimensional Projections. EuroVA@EuroVis 2023: 1-6 - [i9]Christian Tominski, Michael Behrisch, Susanne Bleisch, Sara Irina Fabrikant, Eva Mayr, Silvia Miksch, Helen C. Purchase:
Visualizing Uncertainty in Sets. CoRR abs/2302.11575 (2023) - [i8]Alister Machado, Alexandru C. Telea, Michael Behrisch:
ShaRP: Shape-Regularized Multidimensional Projections. CoRR abs/2306.00554 (2023) - [i7]Stefan P. Feyer, Bruno Pinaud, Stephen G. Kobourov, Nicolas Brich, Michael Krone, Andreas Kerren, Michael Behrisch, Falk Schreiber, Karsten Klein:
2D, 2.5D, or 3D? An Exploratory Study on Multilayer Network Visualisations in Virtual Reality. CoRR abs/2307.10674 (2023) - 2022
- [c24]Yuncong Yu, Tim Becker, Michael Behrisch:
Multivariate Time Series Retrieval with Symbolic Aggregate Approximation, Regular Expression, and Query Expansion. EuroVA@EuroVis 2022: 61-65 - [c23]Yuncong Yu, Dylan Kruyff, Jiao Jiao, Tim Becker, Michael Behrisch:
PSEUDo: Interactive Pattern Search in Multivariate Time Series with Locality-Sensitive Hashing and Relevance Feedback. EuroVis (Posters) 2022: 87-89 - [i6]Brian Montambault, Camelia D. Brumar, Michael Behrisch, Remco Chang:
PIXAL: Anomaly Reasoning with Visual Analytics. CoRR abs/2205.11004 (2022) - 2021
- [j13]Emma Beauxis-Aussalet, Michael Behrisch, Rita Borgo, Duen Horng Chau, Christopher Collins, David S. Ebert, Mennatallah El-Assady, Alex Endert, Daniel A. Keim, Jörn Kohlhammer, Daniela Oelke, Jaakko Peltonen, Maria Riveiro, Tobias Schreck, Hendrik Strobelt, Jarke J. van Wijk, Theresa-Marie Rhyne:
The Role of Interactive Visualization in Fostering Trust in AI. IEEE Computer Graphics and Applications 41(6): 7-12 (2021) - [i5]Yuncong Yu, Dylan Kruyff, Tim Becker, Michael Behrisch:
PSEUDo: Interactive Pattern Search in Multivariate Time Series with Locality-Sensitive Hashing and Relevance Feedback. CoRR abs/2104.14962 (2021) - 2020
- [j12]Michael Behrisch, Tobias Schreck, Hanspeter Pfister:
GUIRO: User-Guided Matrix Reordering. IEEE Trans. Vis. Comput. Graph. 26(1): 184-194 (2020) - [j11]Fritz Lekschas, Michael Behrisch, Benjamin Bach, Peter Kerpedjiev, Nils Gehlenborg, Hanspeter Pfister:
Pattern-Driven Navigation in 2D Multiscale Visualizations with Scalable Insets. IEEE Trans. Vis. Comput. Graph. 26(1): 611-621 (2020) - [c22]Robert Roessler, Michael Behrisch, Johanna Beyer:
TexTiles: Visualizing the Patterns of Discourse. DH 2020
2010 – 2019
- 2019
- [j10]Hendrik Strobelt, Sebastian Gehrmann, Michael Behrisch, Adam Perer, Hanspeter Pfister, Alexander M. Rush:
Seq2seq-Vis: A Visual Debugging Tool for Sequence-to-Sequence Models. IEEE Trans. Vis. Comput. Graph. 25(1): 353-363 (2019) - [j9]Michael Behrisch, Dirk Streeb, Florian Stoffel, Daniel Seebacher, Brian Matejek, Stefan Hagen Weber, Sebastian Mittelstädt, Hanspeter Pfister, Daniel A. Keim:
Commercial Visual Analytics Systems-Advances in the Big Data Analytics Field. IEEE Trans. Vis. Comput. Graph. 25(10): 3011-3031 (2019) - [c21]Frederik L. Dennig, Tom Polk, Zudi Lin, Tobias Schreck, Hanspeter Pfister, Michael Behrisch:
FDive: Learning Relevance Models Using Pattern-based Similarity Measures. VAST 2019: 69-80 - [c20]Lillian Pentecost, Udit Gupta, Elisa Ngan, Johanna Beyer, Gu-Yeon Wei, David Brooks, Michael Behrisch:
CHAMPVis: Comparative Hierarchical Analysis of Microarchitectural Performance. ProTools@SC 2019: 55-61 - [c19]Nicholas Ruta, Naoko Sawada, Katy McKeough, Michael Behrisch, Johanna Beyer:
SAX Navigator: Time Series Exploration through Hierarchical Clustering. IEEE VIS (Short Papers) 2019: 236-240 - [i4]Frederik L. Dennig, Tom Polk, Zudi Lin, Tobias Schreck, Hanspeter Pfister, Michael Behrisch:
FDive: Learning Relevance Models using Pattern-based Similarity Measures. CoRR abs/1907.12489 (2019) - [i3]Nicholas Ruta, Naoko Sawada, Katy McKeough, Michael Behrisch, Johanna Beyer:
SAX Navigator: Time Series Exploration through Hierarchical Clustering. CoRR abs/1908.05505 (2019) - 2018
- [j8]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) - [j7]Hansi Senaratne, Manuel Müller, Michael Behrisch, Felipe Lalanne, Javier Bustos-Jiménez, Jörn Schneidewind, Daniel A. Keim, Tobias Schreck:
Urban Mobility Analysis With Mobile Network Data: A Visual Analytics Approach. IEEE Trans. Intell. Transp. Syst. 19(5): 1537-1546 (2018) - [j6]Dominik Sacha, Matthias Kraus, Jürgen Bernard, Michael Behrisch, Tobias Schreck, Yuki Asano, Daniel A. Keim:
SOMFlow: Guided Exploratory Cluster Analysis with Self-Organizing Maps and Analytic Provenance. IEEE Trans. Vis. Comput. Graph. 24(1): 120-130 (2018) - [c18]Michael Behrisch, Robert Krüger, Fritz Lekschas, Tobias Schreck, Nils Gehlenborg, Hanspeter Pfister:
Visual Pattern-Driven Exploration of Big Data. BDVA 2018: 1-11 - [c17]Hendrik Strobelt, Sebastian Gehrmann, Michael Behrisch, Adam Perer, Hanspeter Pfister, Alexander M. Rush:
Debugging Sequence-to-Sequence Models with Seq2Seq-Vis. BlackboxNLP@EMNLP 2018: 368-370 - [c16]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 - [i2]Hendrik Strobelt, Sebastian Gehrmann, Michael Behrisch, Adam Perer, Hanspeter Pfister, Alexander M. Rush:
Seq2Seq-Vis: A Visual Debugging Tool for Sequence-to-Sequence Models. CoRR abs/1804.09299 (2018) - [i1]Michael Behrisch, Robert Krüger, Fritz Lekschas, Tobias Schreck, Nils Gehlenborg, Hanspeter Pfister:
Visual Pattern-Driven Exploration of Big Data. CoRR abs/1807.01364 (2018) - 2017
- [b1]Michael Behrisch:
Visual Analytic Methods for Exploring Large Amounts of Relational Data with Matrix-based Representations. University of Konstanz, Germany, 2017 - [j5]Florian Stoffel, Wolfgang Jentner, Michael Behrisch, Johannes Fuchs, Daniel A. Keim:
Interactive Ambiguity Resolution of Named Entities in Fictional Literature. Comput. Graph. Forum 36(3): 189-200 (2017) - [j4]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) - [c15]Dominik Jäckle, Michael Hund, Michael Behrisch, Daniel A. Keim, Tobias Schreck:
Pattern Trails: Visual Analysis of Pattern Transitions in Subspaces. VAST 2017: 1-12 - [c14]Daniel Seebacher, Bruno Schneider, Michael Behrisch:
Visual Integration of Meteorological and Sensor Data for Identifying Suspicious Company Behavior. VAST 2017: 225-226 - [c13]Dirk Streeb, Juri Buchmüller, Udo Schlegel, Wolfgang Jentner, Michael Behrisch, Bruno Schneider, Daniel Seebacher:
Uncovering the Mistford Toxic Conspiracy. VAST 2017: 243-244 - [c12]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
- [j3]Michael Behrisch, Benjamin Bach, Nathalie Henry Riche, Tobias Schreck, Jean-Daniel Fekete:
Matrix Reordering Methods for Table and Network Visualization. Comput. Graph. Forum 35(3): 693-716 (2016) - [j2]Lin Shao, Timo Schleicher, Michael Behrisch, Tobias Schreck, Ivan Sipiran, Daniel A. Keim:
Guiding the exploration of scatter plot data using motif-based interest measures. J. Vis. Lang. Comput. 36: 1-12 (2016) - 2015
- [c11]Lin Shao, Timo Schleicher, Michael Behrisch, Tobias Schreck, Ivan Sipiran, Daniel A. Keim:
Guiding the Exploration of Scatter Plot Data Using Motif-Based Interest Measures. BDVA 2015: 57-64 - [c10]James Twellmeyer, Marco Hutter, Michael Behrisch, Jörn Kohlhammer, Tobias Schreck:
The Visual Exploration of Aggregate Similarity for Multi-dimensional Clustering. IVAPP 2015: 40-50 - [c9]Laura von Rüden, Marc-André Hermanns, Michael Behrisch, Daniel A. Keim, Bernd Mohr, Felix Wolf:
Separating the wheat from the chaff: identifying relevant and similar performance data with visual analytics. VPA@SC 2015: 4:1-4:8 - [c8]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 - 2014
- [j1]Michael Behrisch, James Davey, Fabian Fischer, Olivier Thonnard, Tobias Schreck, Daniel A. Keim, Jörn Kohlhammer:
Visual Analysis of Sets of Heterogeneous Matrices Using Projection-Based Distance Functions and Semantic Zoom. Comput. Graph. Forum 33(3): 411-420 (2014) - [c7]Michael Behrisch, Fatih Korkmaz, Lin Shao, Tobias Schreck:
Feedback-driven interactive exploration of large multidimensional data supported by visual classifier. IEEE VAST 2014: 43-52 - [c6]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 - [c5]Lin Shao, Michael Behrisch, Tobias Schreck, Tatiana von Landesberger, Maximilian Scherer, Sebastian Bremm, Daniel A. Keim:
Guided Sketching for Visual Search and Exploration in Large Scatter Plot Spaces. EuroVA@EuroVis 2014 - 2013
- [c4]Michael Behrisch, James Davey, Svenja Simon, Tobias Schreck, Daniel A. Keim, Jörn Kohlhammer:
Visual Comparison of Orderings and Rankings. EuroVA@EuroVis 2013 - 2012
- [c3]Leishi Zhang, Andreas Stoffel, Michael Behrisch, Sebastian Mittelstädt, Tobias Schreck, René Pompl, Stefan Weber, Holger Last, Daniel A. Keim:
Visual analytics for the big data era - A comparative review of state-of-the-art commercial systems. IEEE VAST 2012: 173-182 - [c2]Michael Behrisch, James Davey, Tobias Schreck, Daniel A. Keim, Jörn Kohlhammer:
Matrix-based visual correlation analysis on large timeseries data. IEEE VAST 2012: 209-210 - [c1]Michael Behrisch, Milos Krstajic, Tobias Schreck, Daniel A. Keim:
The News Auditor: Visual Exploration of Clusters of Stories. EuroVA@EuroVis 2012
Coauthor Index
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last updated on 2024-11-07 20:33 CET by the dblp team
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