Bastian Rieck

Dr. Bastian Rieck
Senior researcher

Publications

2020
Reviewed Conference Papers
	B. Rieck, M. Banagl, F. Sadlo, H. Leitte: Persistent Intersection Homology for the Analysis of Discrete Data In Topological Methods in Data Analysis and Visualization V, Springer International Publishing, pp. 37–51, 2020. Available files: [BibTeX] [DOI] [Details]
	B. Rieck, F. Sadlo, H. Leitte: Topological Machine Learning with Persistence Indicator Functions In Topological Methods in Data Analysis and Visualization V, Springer International Publishing, pp. 87–101, 2020. Available files: [BibTeX] [DOI] [Details]
	B. Rieck, F. Sadlo, H. Leitte: Hierarchies and Ranks for Persistence Pairs In Topological Methods in Data Analysis and Visualization V, Springer International Publishing, pp. 3–17, 2020. Available files: [BibTeX] [DOI] [Details]
	B. Rieck, F. Sadlo, H. Leitte: Persistence Concepts for 2D Skeleton Evolution Analysis In Topological Methods in Data Analysis and Visualization V, Springer International Publishing, pp. 139–154, 2020. Available files: [BibTeX] [DOI] [Details]
2019
Reviewed Journal Papers
	B. Zheng, B. Rieck, H. Leitte, F. Sadlo: Visualization of Equivalence in 2D Bivariate Fields Computer Graphics Forum, vol. 38, no. 3, pp. 311–323, 2019. Available files: [BibTeX] [DOI] [PDF] [Highres PDF] [Video] [Video] [Slides] [Details]
2018
Reviewed Journal Papers
	L. Hofmann, B. Rieck, F. Sadlo: Visualization of 4D Vector Field Topology Computer Graphics Forum, vol. 37, no. 3, pp. 301–313, 2018. Available files: [BibTeX] [DOI] [PDF] [Highres PDF] [Video] [Video] [Slides] [Details]
	B. Rieck, U. Fugacci, J. Lukasczyk, H. Leitte: Clique Community Persistence: A Topological Visual Analysis Approach for Complex Networks IEEE Transactions on Visualization and Computer Graphics, vol. 24, no. 1, pp. 822–831, 2018. Available files: [BibTeX] [DOI] [PDF] [Details]
Reviewed Conference Papers
	K. Hanser, O. Klein, B. Rieck, B. Wiebe, T. Selz, M. Piatkowski, A. Sagristà, B. Zheng, M. Lukácová, G. Craig, H. Leitte, F. Sadlo: Visualization of Parameter Sensitivity of 2D Time-Dependent Flow In Lecture Notes in Computer Science: Advances in Visual Computing (Proceedings of International Symposium on Visual Computing), pp. 359–370, 2018. Available files: [BibTeX] [DOI] [PDF] [Highres PDF] [Slides] [Details]
	K. Sdeo, B. Rieck, F. Sadlo: Visualization of Fullerene Fragmentation In Short Paper Proceedings of IEEE Pacific Visualization Symposium (PacificVIS), pp. 111–115, 2018. Available files: [BibTeX] [DOI] [PDF] [Details]
2017
Reviewed Conference Papers
	B. Rieck, H. Leitte: Agreement Analysis of Quality Measures for Dimensionality Reduction In Topological Methods in Data Analysis and Visualization IV: Theory, Algorithms, and Applications, Springer International Publishing, pp. 103–117, 2017. Available files: [BibTeX] [DOI] [PDF] [Details]
2016
Reviewed Journal Papers
	B. Rieck, H. Leitte: Exploring and Comparing Clusterings of Multivariate Data Sets Using Persistent Homology Computer Graphics Forum, vol. 35, no. 3, pp. 81–90, 2016. Available files: [BibTeX] [DOI] [PDF]
Reviewed Conference Papers
	J. Fangerau, B. Höckendorf, B. Rieck, C. Heine, J. Wittbrodt, H. Leitte: Interactive Similarity Analysis and Error Detection in Large Tree Collections In Visualization in Medicine and Life Sciences III: {T}owards Making an Impact, Springer International Publishing, pp. 287–307, 2016. Available files: [BibTeX] [DOI]
	B. Rieck, H. Leitte: Shall I compare thee to a network? -- Visualizing the Topological Structure of Shakespeare's Plays In Proceedings of Workshop on Visualization for the Digital Humanities at IEEE VIS, 2016. Available files: [BibTeX] [DOI] [PDF]
2015
Reviewed Journal Papers
	B. Rieck, H. Leitte: Persistent Homology for the Evaluation of Dimensionality Reduction Schemes Computer Graphics Forum, vol. 34, no. 3, pp. 431–440, 2015. Available files: [BibTeX] [DOI] [PDF]
Reviewed Conference Papers
	B. Rieck, H. Leitte: Comparing Dimensionality Reduction Methods Using Data Descriptor Landscapes In Proceedings of Symposium on Visualization in Data Science (VDS) at IEEE VIS, 2015. Available files: [BibTeX] [PDF]
2014
Reviewed Journal Papers
	B. Rieck, H. Leitte: Structural Analysis of Multivariate Point Clouds Using Simplicial Chains Computer Graphics Forum, vol. 33, no. 8, pp. 28–37, 2014. Available files: [BibTeX] [DOI] [PDF]
Reviewed Conference Papers
	B. Rieck, H. Leitte: Enhancing Comparative Model Analysis Using Persistent Homology In Proceedings of Workshop on Visualization for Predictive Analytics at IEEE VIS, 2014. Available files: [BibTeX] [PDF]
2013
Reviewed Journal Papers
	B. Rieck, H. Mara, S. Krömker: Unwrapping Highly-detailed 3D Meshes of Rotationally Symmetric Man-made Objects ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. II-5/W1, pp. 259–264, 2013. Available files: [BibTeX] [DOI] [PDF]
2012
Reviewed Journal Papers
	B. Rieck, H. Mara, H. Leitte: Multivariate Data Analysis Using Persistence-based Filtering and Topological Signatures IEEE Transactions on Visualization and Computer Graphics, vol. 18, no. 12, pp. 2382–2391, 2012. Available files: [BibTeX] [DOI] [PDF]

Theses

2017
	B. Rieck: Persistent Homology in Multivariate Data Visualization , Heidelberg University, 2017. Available files: [BibTeX] [DOI] [PDF] [Details]