Matrix-based visual correlation analysis on large timeseries data. - Michael Behrisch 001; James Davey; Tobias Schreck; Daniel A. Keim; Jörn Kohlhammer (IEEE VAST, 2012)

Visual analytics for the big data era - A comparative review of state-of-the-art commercial systems. - Leishi Zhang; Andreas Stoffel; Michael Behrisch 001; Sebastian Mittelstädt; Tobias Schreck; René Pompl; Stefan Weber 004; Holger Last; Daniel A. Keim (IEEE VAST, 2012)

The News Auditor: Visual Exploration of Clusters of Stories. - Michael Behrisch 001; Milos Krstajic; Tobias Schreck; Daniel A. Keim (EuroVA@EuroVis, 2012)

Visual Comparison of Orderings and Rankings. - Michael Behrisch 001; James Davey; Svenja Simon; Tobias Schreck; Daniel A. Keim; Jörn Kohlhammer (EuroVA@EuroVis, 2013)

Feedback-driven interactive exploration of large multidimensional data supported by visual classifier. - Michael Behrisch 001; Fatih Korkmaz; Lin Shao 001; Tobias Schreck (IEEE VAST, 2014)

Towards a user-defined visual-interactive definition of similarity functions for mixed data. - Jürgen Bernard; Marco Hutter 002; David Sessler; Tobias Schreck; Michael Behrisch 001; Jörn Kohlhammer (IEEE VAST, 2014)

Guided Sketching for Visual Search and Exploration in Large Scatter Plot Spaces. - Lin Shao 001; Michael Behrisch 001; Tobias Schreck; Tatiana von Landesberger; Maximilian Scherer; Sebastian Bremm; Daniel A. Keim (EuroVA@EuroVis, 2014)

Visual Analysis of Sets of Heterogeneous Matrices Using Projection-Based Distance Functions and Semantic Zoom. - Michael Behrisch 001; James Davey; Fabian Fischer 001; Olivier Thonnard; Tobias Schreck; Daniel A. Keim; Jörn Kohlhammer (Comput. Graph. Forum, 2014)

The Visual Exploration of Aggregate Similarity for Multi-dimensional Clustering. - James Twellmeyer; Marco Hutter 002; Michael Behrisch 001; Jörn Kohlhammer; Tobias Schreck (IVAPP, 2015)

Separating the wheat from the chaff: identifying relevant and similar performance data with visual analytics. - Laura von Rüden; Marc-André Hermanns; Michael Behrisch 001; Daniel A. Keim; Bernd Mohr; Felix Wolf 001 (VPA@SC, 2015)

Subspace Nearest Neighbor Search - Problem Statement, Approaches, and Discussion - Position Paper. - Michael Hund; Michael Behrisch 001; Ines Färber; Michael Sedlmair; Tobias Schreck; Thomas Seidl 001; Daniel A. Keim (SISAP, 2015)

Matrix Reordering Methods for Table and Network Visualization. - Michael Behrisch 001; Benjamin Bach; Nathalie Henry Riche; Tobias Schreck; Jean-Daniel Fekete (Comput. Graph. Forum, 2016)

Guiding the exploration of scatter plot data using motif-based interest measures. - Lin Shao 001; Timo Schleicher; Michael Behrisch 001; Tobias Schreck; Ivan Sipiran; Daniel A. Keim (J. Vis. Lang. Comput., 2016)

Pattern Trails: Visual Analysis of Pattern Transitions in Subspaces. - Dominik Jäckle; Michael Hund; Michael Behrisch 001; Daniel A. Keim; Tobias Schreck (VAST, 2017)

Visual Integration of Meteorological and Sensor Data for Identifying Suspicious Company Behavior. - Daniel Seebacher; Bruno Schneider; Michael Behrisch 001 (VAST, 2017)

Uncovering the Mistford Toxic Conspiracy. - Dirk Streeb; Juri Buchmüller; Udo Schlegel; Wolfgang Jentner; Michael Behrisch 001; Bruno Schneider; Daniel Seebacher (VAST, 2017)

On the Impact of the Medium in the Effectiveness of 3D Software Visualizations. - Leonel Merino; Johannes Fuchs 001; Michael Blumenschein; Craig Anslow; Mohammad Ghafari; Oscar Nierstrasz; Michael Behrisch 001; Daniel A. Keim (VISSOFT, 2017)

Interactive Ambiguity Resolution of Named Entities in Fictional Literature. - Florian Stoffel; Wolfgang Jentner; Michael Behrisch 001; Johannes Fuchs 001; Daniel A. Keim (Comput. Graph. Forum, 2017)

Magnostics: Image-Based Search of Interesting Matrix Views for Guided Network Exploration. - Michael Behrisch 001; Benjamin Bach; Michael Hund; Michael Delz; Laura von Rüden; Jean-Daniel Fekete; Tobias Schreck (IEEE Trans. Vis. Comput. Graph., 2017)

Visual Analytic Methods for Exploring Large Amounts of Relational Data with Matrix-based Representations. - Michael Behrisch 001 (2017)

Visual Pattern-Driven Exploration of Big Data. - Michael Behrisch 001; Robert Krüger; Fritz Lekschas; Tobias Schreck; Nils Gehlenborg; Hanspeter Pfister (BDVA, 2018)

Debugging Sequence-to-Sequence Models with Seq2Seq-Vis. - Hendrik Strobelt; Sebastian Gehrmann; Michael Behrisch 001; Adam Perer; Hanspeter Pfister; Alexander M. Rush (BlackboxNLP@EMNLP, 2018)

SMARTexplore: Simplifying High-Dimensional Data Analysis through a Table-Based Visual Analytics Approach. - Michael Blumenschein; Michael Behrisch 001; Stefanie Schmid; Simon Butscher; Deborah R. Wahl; Karoline Villinger; Britta Renner; Harald Reiterer; Daniel A. Keim (VAST, 2018)

Quality Metrics for Information Visualization. - Michael Behrisch 001; Michael Blumenschein; Nam Wook Kim; Lin Shao 001; Mennatallah El-Assady; Johannes Fuchs 001; Daniel Seebacher; Alexandra Diehl; Ulrik Brandes; Hanspeter Pfister; Tobias Schreck; Daniel Weiskopf; et al. (Comput. Graph. Forum, 2018)

Urban Mobility Analysis With Mobile Network Data: A Visual Analytics Approach. - Hansi Senaratne; Manuel Müller; Michael Behrisch 001; Felipe Lalanne; Javier Bustos-Jiménez; Jörn Schneidewind; Daniel A. Keim; Tobias Schreck (IEEE Trans. Intell. Transp. Syst., 2018)

SOMFlow: Guided Exploratory Cluster Analysis with Self-Organizing Maps and Analytic Provenance. - Dominik Sacha; Matthias Kraus 002; Jürgen Bernard; Michael Behrisch 001; Tobias Schreck; Yuki Asano 003; Daniel A. Keim (IEEE Trans. Vis. Comput. Graph., 2018)

FDive: Learning Relevance Models Using Pattern-based Similarity Measures. - Frederik L. Dennig; Tom Polk; Zudi Lin; Tobias Schreck; Hanspeter Pfister; Michael Behrisch 001 (VAST, 2019)

CHAMPVis: Comparative Hierarchical Analysis of Microarchitectural Performance. - Lillian Pentecost; Udit Gupta; Elisa Ngan; Johanna Beyer; Gu-Yeon Wei; David Brooks 001; Michael Behrisch 001 (ProTools@SC, 2019)

SAX Navigator: Time Series Exploration through Hierarchical Clustering. - Nicholas Ruta; Naoko Sawada; Katy McKeough; Michael Behrisch 001; Johanna Beyer (IEEE VIS (Short Papers), 2019)

Commercial Visual Analytics Systems-Advances in the Big Data Analytics Field. - Michael Behrisch 001; Dirk Streeb; Florian Stoffel; Daniel Seebacher; Brian Matejek; Stefan Hagen Weber; Sebastian Mittelstädt; Hanspeter Pfister; Daniel A. Keim (IEEE Trans. Vis. Comput. Graph., 2019)

Seq2seq-Vis: A Visual Debugging Tool for Sequence-to-Sequence Models. - Hendrik Strobelt; Sebastian Gehrmann; Michael Behrisch 001; Adam Perer; Hanspeter Pfister; Alexander M. Rush (IEEE Trans. Vis. Comput. Graph., 2019)

TexTiles: Visualizing the Patterns of Discourse. - Robert Roessler; Michael Behrisch 001; Johanna Beyer (DH, 2020)

GUIRO: User-Guided Matrix Reordering. - Michael Behrisch 001; Tobias Schreck; Hanspeter Pfister (IEEE Trans. Vis. Comput. Graph., 2020)

Pattern-Driven Navigation in 2D Multiscale Visualizations with Scalable Insets. - Fritz Lekschas; Michael Behrisch 001; Benjamin Bach; Peter Kerpedjiev; Nils Gehlenborg; Hanspeter Pfister (IEEE Trans. Vis. Comput. Graph., 2020)

The Role of Interactive Visualization in Fostering Trust in AI. - Emma Beauxis-Aussalet; Michael Behrisch 001; Rita Borgo; Duen Horng Chau; Christopher Collins 001; David S. Ebert; Mennatallah El-Assady; Alex Endert; Daniel A. Keim; Jörn Kohlhammer; Daniela Oelke; Jaakko Peltonen; et al. (IEEE Computer Graphics and Applications, 2021)

PSEUDo: Interactive Pattern Search in Multivariate Time Series with Locality-Sensitive Hashing and Relevance Feedback. - Yuncong Yu 001; Dylan Kruyff; Tim Becker; Michael Behrisch 001 (CoRR, 2021)

Multivariate Time Series Retrieval with Symbolic Aggregate Approximation, Regular Expression, and Query Expansion. - Yuncong Yu 001; Tim Becker; Michael Behrisch 001 (EuroVA@EuroVis, 2022)

PIXAL: Anomaly Reasoning with Visual Analytics. - Brian Montambault; Camelia D. Brumar; Michael Behrisch 001; Remco Chang (CoRR, 2022)

ShaRP: Shape-Regularized Multidimensional Projections. - Alister Machado; Alexandru C. Telea; Michael Behrisch 001 (EuroVA@EuroVis, 2023)

Visualizing Uncertainty in Sets. - Christian Tominski; Michael Behrisch 001; Susanne Bleisch; Sara Irina Fabrikant; Eva Mayr; Silvia Miksch; Helen C. Purchase (IEEE Computer Graphics and Applications, 2023)

PSEUDo: Interactive Pattern Search in Multivariate Time Series with Locality-Sensitive Hashing and Relevance Feedback. - Yuncong Yu 001; Dylan Kruyff; Jiao Jiao; Tim Becker; Michael Behrisch 001 (IEEE Trans. Vis. Comput. Graph., 2023)

SAXRegEx: Multivariate time series pattern search with symbolic representation, regular expression, and query expansion. - Yuncong Yu 001; Tim Becker; Le Minh Trinh; Michael Behrisch 001 (Comput. Graph., 2023)

cPro: Circular Projections Using Gradient Descent. - Raphael Buchmüller; Bastian Jäckl; Michael Behrisch 001; Daniel A. Keim; Frederik L. Dennig (EuroVA@EuroVis, 2024)

Controlling the scatterplot shapes of 2D and 3D multidimensional projections. - Alister Machado; Alexandru C. Telea; Michael Behrisch 001 (Comput. Graph., 2024)

Exploring Classifiers with Differentiable Decision Boundary Maps. - Alister Machado; Michael Behrisch 001; Alexandru C. Telea (Comput. Graph. Forum, 2024)

2D, 2.5D, or 3D? An Exploratory Study on Multilayer Network Visualisations in Virtual Reality. - Stefan P. Feyer; Bruno Pinaud; Stephen G. Kobourov; Nicolas Brich; Michael Krone; Andreas Kerren; Michael Behrisch 001; Falk Schreiber; Karsten Klein 001 (IEEE Trans. Vis. Comput. Graph., 2024)

A Large-Scale Sensitivity Analysis on Latent Embeddings and Dimensionality Reductions for Text Spatializations. - Daniel Atzberger; Tim Cech; Willy Scheibel; Jürgen Döllner; Michael Behrisch 001; Tobias Schreck (Zenodo, 2024)

Necessary but not Sufficient: Limitations of Projection Quality Metrics. - Alister Machado; Michael Behrisch 001; Alexandru C. Telea (Comput. Graph. Forum, 2025)

A Large-Scale Sensitivity Analysis on Latent Embeddings and Dimensionality Reductions for Text Spatializations. - Daniel Atzberger; Tim Cech; Willy Scheibel; Jürgen Döllner; Michael Behrisch 001; Tobias Schreck (IEEE Trans. Vis. Comput. Graph., 2025)