Optimized Continuous Collision Detection for Deformable Triangle Meshes. - Marco Hutter 002; Arnulph Fuhrmann (J. WSCG, 2007)

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)

Measuring context relevance for adaptive semantics visualizations. - Kawa Nazemi; Arjan Kuijper; Marco Hutter 002; Jörn Kohlhammer; Dieter W. Fellner (I-KNOW, 2014)

Exploring Simulation in Sensor Network Models. - Martin Steiger; Marco Hutter 002; Philipp Schader; Jörn Kohlhammer; Arjan Kuijper (VMV, 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)

Learning from the Best - Visual Analysis of a Quasi-Optimal Data Labeling Strategy. - Jürgen Bernard; Marco Hutter 002; Markus Lehmann; Martin Müller; Matthias Zeppelzauer; Michael Sedlmair (EuroVis (Short Papers), 2018)

Comparing Visual-Interactive Labeling with Active Learning: An Experimental Study. - Jürgen Bernard; Marco Hutter 002; Matthias Zeppelzauer; Dieter W. Fellner; Michael Sedlmair (IEEE Trans. Vis. Comput. Graph., 2018)

Visual Analysis of Degree-of-Interest Functions to Support Selection Strategies for Instance Labeling. - Jürgen Bernard; Marco Hutter 002; Christian Ritter; Markus Lehmann; Michael Sedlmair; Matthias Zeppelzauer (EuroVA@EuroVis, 2019)

Visual-Interactive Preprocessing of Multivariate Time Series Data. - Jürgen Bernard; Marco Hutter 002; Heiko Reinemuth; Hendrik Pfeifer; Christian Bors; Jörn Kohlhammer (Comput. Graph. Forum, 2019)

SepEx: Visual Analysis of Class Separation Measures. - Jürgen Bernard; Marco Hutter 002; Matthias Zeppelzauer; Michael Sedlmair; Tamara Munzner (EuroVA@Eurographics/EuroVis, 2020)

Learning Patterns for Complex Event Detection in Robot Sensor Data. - Bernhard G. Humm; Marco Hutter 002 (OLA, 2020)

ProSeCo: Visual analysis of class separation measures and dataset characteristics. - Jürgen Bernard; Marco Hutter 002; Matthias Zeppelzauer; Michael Sedlmair; Tamara Munzner (Comput. Graph., 2021)

A Taxonomy of Property Measures to Unify Active Learning and Human-centered Approaches to Data Labeling. - Jürgen Bernard; Marco Hutter 002; Michael Sedlmair; Matthias Zeppelzauer; Tamara Munzner (ACM Trans. Interact. Intell. Syst., 2021)