Michael Behrisch

60 papers B 2Journal 32Unranked 25

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Graph Visualization Design Guidelines as Learnable Predicates. GRIVAPP Sjoerd Vink, Brian Montambault, Mingwei Li, Remco Chang, Michael Behrisch
2026	J	`jnl`	LCIP: Loss-Controlled Inverse Projection of High-Dimensional Image Data. CoRR Yu Wang, Frederik L. Dennig, Michael Behrisch, Alexandru C. Telea
2025	J	`jnl`	A Large-Scale Sensitivity Analysis on Latent Embeddings and Dimensionality Reductions for Text Spatializations. IEEE Trans. Vis. Comput. Graph. Daniel Atzberger, Tim Cech, Willy Scheibel, Jürgen Döllner, Michael Behrisch, Tobias Schreck
2025	J	`jnl`	Necessary but not Sufficient: Limitations of Projection Quality Metrics. Comput. Graph. Forum Alister Machado, Michael Behrisch, Alexandru C. Telea
2024	J	`jnl`	2D, 2.5D, or 3D? An Exploratory Study on Multilayer Network Visualisations in Virtual Reality. IEEE Trans. Vis. Comput. Graph. Stefan P. Feyer, Bruno Pinaud, Stephen G. Kobourov, Nicolas Brich, Michael Krone, Andreas Kerren, Michael Behrisch, Falk Schreiber, Karsten Klein
2024	J	`jnl`	A Large-Scale Sensitivity Analysis on Latent Embeddings and Dimensionality Reductions for Text Spatializations. CoRR Daniel Atzberger, Tim Cech, Willy Scheibel, Jürgen Döllner, Michael Behrisch, Tobias Schreck
2024	J	`jnl`	Controlling the scatterplot shapes of 2D and 3D multidimensional projections. Comput. Graph. Alister Machado, Alexandru C. Telea, Michael Behrisch
2024	J	`jnl`	Exploring Classifiers with Differentiable Decision Boundary Maps. Comput. Graph. Forum Alister Machado, Michael Behrisch, Alexandru C. Telea
2024	—	`conf`	cPro: Circular Projections Using Gradient Descent. EuroVA@EuroVis Raphael Buchmüller, Bastian Jäckl, Michael Behrisch, Daniel A. Keim, Frederik L. Dennig
2023	J	`jnl`	2D, 2.5D, or 3D? An Exploratory Study on Multilayer Network Visualisations in Virtual Reality. CoRR Stefan P. Feyer, Bruno Pinaud, Stephen G. Kobourov, Nicolas Brich, Michael Krone, Andreas Kerren, Michael Behrisch, Falk Schreiber, Karsten Klein
2023	J	`jnl`	PSEUDo: Interactive Pattern Search in Multivariate Time Series with Locality-Sensitive Hashing and Relevance Feedback. IEEE Trans. Vis. Comput. Graph. Yuncong Yu, Dylan Kruyff, Jiao Jiao, Tim Becker, Michael Behrisch
2023	J	`jnl`	SAXRegEx: Multivariate time series pattern search with symbolic representation, regular expression, and query expansion. Comput. Graph. Yuncong Yu, Tim Becker, Le Minh Trinh, Michael Behrisch
2023	—	`conf`	ShaRP: Shape-Regularized Multidimensional Projections. EuroVA@EuroVis Alister Machado, Alexandru C. Telea, Michael Behrisch
2023	J	`jnl`	ShaRP: Shape-Regularized Multidimensional Projections. CoRR Alister Machado, Alexandru C. Telea, Michael Behrisch
2023	J	`jnl`	Visualizing Uncertainty in Sets. IEEE Computer Graphics and Applications Christian Tominski, Michael Behrisch, Susanne Bleisch, Sara Irina Fabrikant, Eva Mayr, Silvia Miksch, Helen C. Purchase
2023	J	`jnl`	Visualizing Uncertainty in Sets. CoRR Christian Tominski, Michael Behrisch, Susanne Bleisch, Sara Irina Fabrikant, Eva Mayr, Silvia Miksch, Helen C. Purchase
2022	—	`conf`	Multivariate Time Series Retrieval with Symbolic Aggregate Approximation, Regular Expression, and Query Expansion. EuroVA@EuroVis Yuncong Yu, Tim Becker, Michael Behrisch
2022	J	`jnl`	PIXAL: Anomaly Reasoning with Visual Analytics. CoRR Brian Montambault, Camelia D. Brumar, Michael Behrisch, Remco Chang
2022	—	`conf`	PSEUDo: Interactive Pattern Search in Multivariate Time Series with Locality-Sensitive Hashing and Relevance Feedback. EuroVis (Posters) Yuncong Yu, Dylan Kruyff, Jiao Jiao, Tim Becker, Michael Behrisch
2021	J	`jnl`	PSEUDo: Interactive Pattern Search in Multivariate Time Series with Locality-Sensitive Hashing and Relevance Feedback. CoRR Yuncong Yu, Dylan Kruyff, Tim Becker, Michael Behrisch
2021	J	`jnl`	The Role of Interactive Visualization in Fostering Trust in AI. IEEE Computer Graphics and Applications 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
2020	J	`jnl`	GUIRO: User-Guided Matrix Reordering. IEEE Trans. Vis. Comput. Graph. Michael Behrisch, Tobias Schreck, Hanspeter Pfister
2020	J	`jnl`	Pattern-Driven Navigation in 2D Multiscale Visualizations with Scalable Insets. IEEE Trans. Vis. Comput. Graph. Fritz Lekschas, Michael Behrisch, Benjamin Bach, Peter Kerpedjiev, Nils Gehlenborg, Hanspeter Pfister
2020	—	`conf`	TexTiles: Visualizing the Patterns of Discourse. DH Robert Roessler, Michael Behrisch, Johanna Beyer
2019	—	`conf`	CHAMPVis: Comparative Hierarchical Analysis of Microarchitectural Performance. ProTools@SC Lillian Pentecost, Udit Gupta, Elisa Ngan, Johanna Beyer, Gu-Yeon Wei, David Brooks, Michael Behrisch
2019	J	`jnl`	Commercial Visual Analytics Systems-Advances in the Big Data Analytics Field. IEEE Trans. Vis. Comput. Graph. Michael Behrisch, Dirk Streeb, Florian Stoffel, Daniel Seebacher, Brian Matejek, Stefan Hagen Weber, Sebastian Mittelstädt, Hanspeter Pfister, Daniel A. Keim
2019	—	`conf`	FDive: Learning Relevance Models Using Pattern-based Similarity Measures. VAST Frederik L. Dennig, Tom Polk, Zudi Lin, Tobias Schreck, Hanspeter Pfister, Michael Behrisch
2019	J	`jnl`	FDive: Learning Relevance Models using Pattern-based Similarity Measures. CoRR Frederik L. Dennig, Tom Polk, Zudi Lin, Tobias Schreck, Hanspeter Pfister, Michael Behrisch
2019	—	`conf`	SAX Navigator: Time Series Exploration through Hierarchical Clustering. IEEE VIS (Short Papers) Nicholas Ruta, Naoko Sawada, Katy McKeough, Michael Behrisch, Johanna Beyer
2019	J	`jnl`	SAX Navigator: Time Series Exploration through Hierarchical Clustering. CoRR Nicholas Ruta, Naoko Sawada, Katy McKeough, Michael Behrisch, Johanna Beyer
2019	J	`jnl`	Seq2seq-Vis: A Visual Debugging Tool for Sequence-to-Sequence Models. IEEE Trans. Vis. Comput. Graph. Hendrik Strobelt, Sebastian Gehrmann, Michael Behrisch, Adam Perer, Hanspeter Pfister, Alexander M. Rush
2018	—	`conf`	Debugging Sequence-to-Sequence Models with Seq2Seq-Vis. BlackboxNLP@EMNLP Hendrik Strobelt, Sebastian Gehrmann, Michael Behrisch, Adam Perer, Hanspeter Pfister, Alexander M. Rush
2018	J	`jnl`	Quality Metrics for Information Visualization. Comput. Graph. Forum 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
2018	—	`conf`	SMARTexplore: Simplifying High-Dimensional Data Analysis through a Table-Based Visual Analytics Approach. VAST Michael Blumenschein, Michael Behrisch, Stefanie Schmid, Simon Butscher, Deborah R. Wahl, Karoline Villinger, Britta Renner, Harald Reiterer, Daniel A. Keim
2018	J	`jnl`	SOMFlow: Guided Exploratory Cluster Analysis with Self-Organizing Maps and Analytic Provenance. IEEE Trans. Vis. Comput. Graph. Dominik Sacha, Matthias Kraus, Jürgen Bernard, Michael Behrisch, Tobias Schreck, Yuki Asano, Daniel A. Keim
2018	J	`jnl`	Seq2Seq-Vis: A Visual Debugging Tool for Sequence-to-Sequence Models. CoRR Hendrik Strobelt, Sebastian Gehrmann, Michael Behrisch, Adam Perer, Hanspeter Pfister, Alexander M. Rush
2018	J	`jnl`	Urban Mobility Analysis With Mobile Network Data: A Visual Analytics Approach. IEEE Trans. Intell. Transp. Syst. Hansi Senaratne, Manuel Müller, Michael Behrisch, Felipe Lalanne, Javier Bustos-Jiménez, Jörn Schneidewind, Daniel A. Keim, Tobias Schreck
2018	—	`conf`	Visual Pattern-Driven Exploration of Big Data. BDVA Michael Behrisch, Robert Krüger, Fritz Lekschas, Tobias Schreck, Nils Gehlenborg, Hanspeter Pfister
2018	J	`jnl`	Visual Pattern-Driven Exploration of Big Data. CoRR Michael Behrisch, Robert Krüger, Fritz Lekschas, Tobias Schreck, Nils Gehlenborg, Hanspeter Pfister
2017	J	`jnl`	Interactive Ambiguity Resolution of Named Entities in Fictional Literature. Comput. Graph. Forum Florian Stoffel, Wolfgang Jentner, Michael Behrisch, Johannes Fuchs, Daniel A. Keim
2017	J	`jnl`	Magnostics: Image-Based Search of Interesting Matrix Views for Guided Network Exploration. IEEE Trans. Vis. Comput. Graph. Michael Behrisch, Benjamin Bach, Michael Hund, Michael Delz, Laura von Rüden, Jean-Daniel Fekete, Tobias Schreck
2017	B	`conf`	On the Impact of the Medium in the Effectiveness of 3D Software Visualizations. VISSOFT Leonel Merino, Johannes Fuchs, Michael Blumenschein, Craig Anslow, Mohammad Ghafari, Oscar Nierstrasz, Michael Behrisch, Daniel A. Keim
2017	—	`conf`	Pattern Trails: Visual Analysis of Pattern Transitions in Subspaces. VAST Dominik Jäckle, Michael Hund, Michael Behrisch, Daniel A. Keim, Tobias Schreck
2017	—	`conf`	Uncovering the Mistford Toxic Conspiracy. VAST Dirk Streeb, Juri Buchmüller, Udo Schlegel, Wolfgang Jentner, Michael Behrisch, Bruno Schneider, Daniel Seebacher
2017	—	`—`	Visual Analytic Methods for Exploring Large Amounts of Relational Data with Matrix-based Representations. Michael Behrisch
2017	—	`conf`	Visual Integration of Meteorological and Sensor Data for Identifying Suspicious Company Behavior. VAST Daniel Seebacher, Bruno Schneider, Michael Behrisch
2016	J	`jnl`	Guiding the exploration of scatter plot data using motif-based interest measures. J. Vis. Lang. Comput. Lin Shao, Timo Schleicher, Michael Behrisch, Tobias Schreck, Ivan Sipiran, Daniel A. Keim
2016	J	`jnl`	Matrix Reordering Methods for Table and Network Visualization. Comput. Graph. Forum Michael Behrisch, Benjamin Bach, Nathalie Henry Riche, Tobias Schreck, Jean-Daniel Fekete
2015	—	`conf`	Guiding the Exploration of Scatter Plot Data Using Motif-Based Interest Measures. BDVA Lin Shao, Timo Schleicher, Michael Behrisch, Tobias Schreck, Ivan Sipiran, Daniel A. Keim
2015	—	`conf`	Separating the wheat from the chaff: identifying relevant and similar performance data with visual analytics. VPA@SC Laura von Rüden, Marc-André Hermanns, Michael Behrisch, Daniel A. Keim, Bernd Mohr, Felix Wolf
2015	B	`conf`	Subspace Nearest Neighbor Search - Problem Statement, Approaches, and Discussion - Position Paper. SISAP Michael Hund, Michael Behrisch, Ines Färber, Michael Sedlmair, Tobias Schreck, Thomas Seidl, Daniel A. Keim
2015	—	`conf`	The Visual Exploration of Aggregate Similarity for Multi-dimensional Clustering. IVAPP James Twellmeyer, Marco Hutter, Michael Behrisch, Jörn Kohlhammer, Tobias Schreck
2014	—	`conf`	Feedback-driven interactive exploration of large multidimensional data supported by visual classifier. IEEE VAST Michael Behrisch, Fatih Korkmaz, Lin Shao, Tobias Schreck
2014	—	`conf`	Guided Sketching for Visual Search and Exploration in Large Scatter Plot Spaces. EuroVA@EuroVis Lin Shao, Michael Behrisch, Tobias Schreck, Tatiana von Landesberger, Maximilian Scherer, Sebastian Bremm, Daniel A. Keim
2014	—	`conf`	Towards a user-defined visual-interactive definition of similarity functions for mixed data. IEEE VAST Jürgen Bernard, Marco Hutter, David Sessler, Tobias Schreck, Michael Behrisch, Jörn Kohlhammer
2014	J	`jnl`	Visual Analysis of Sets of Heterogeneous Matrices Using Projection-Based Distance Functions and Semantic Zoom. Comput. Graph. Forum Michael Behrisch, James Davey, Fabian Fischer, Olivier Thonnard, Tobias Schreck, Daniel A. Keim, Jörn Kohlhammer
2013	—	`conf`	Visual Comparison of Orderings and Rankings. EuroVA@EuroVis Michael Behrisch, James Davey, Svenja Simon, Tobias Schreck, Daniel A. Keim, Jörn Kohlhammer
2012	—	`conf`	Matrix-based visual correlation analysis on large timeseries data. IEEE VAST Michael Behrisch, James Davey, Tobias Schreck, Daniel A. Keim, Jörn Kohlhammer
2012	—	`conf`	The News Auditor: Visual Exploration of Clusters of Stories. EuroVA@EuroVis Michael Behrisch, Milos Krstajic, Tobias Schreck, Daniel A. Keim
2012	—	`conf`	Visual analytics for the big data era - A comparative review of state-of-the-art commercial systems. IEEE VAST Leishi Zhang, Andreas Stoffel, Michael Behrisch, Sebastian Mittelstädt, Tobias Schreck, René Pompl, Stefan Weber, Holger Last, Daniel A. Keim