Ostfalia - Veröffentlichungen/Publikationen

Forschungsschwerpunkte Lehrstuhl für Data Science in IoT

Visuelle Datenanalyse/Visual Analytics (Visual Computing)
Verteilte Datenanalyse durch Methoden der künstlichen Intelligenz
Angewandte Datenanalyse in Themenfelder Geologie, Klimadaten, Medizin und für Prozesse der Industrie

37) CatNetVis: Semantic Visual Exploration of Categorical High-Dimensional Data with Force-Directed Graph Layouts, Michael Thane, Kai M. Blum, Dirk J. Lehmann, EuroVis, 2023

Download Paper Download Zusatzmaterial Video

36) High-Resolution Analysis of Individual D. Melanogaster Larvae Uncovers Individual Variability in the Neurogenetic modulation of locomotion, Michael Thane, Emmanouil Paisios, Torsten Stöter, Anna-Rosa Krüger, Sebastian Gläß, Anne-Kristin Dahse, Rudolf Schönheimer, Nicole Scholz, Bertram Gerber, Dirk J. Lehmann, Michael Schleyer, Published by Royal Society, Open Biology, 2023

35) Optimal Axes for Data Value Estimation in Star Coordinates and Radial Axes Plots, M. Rubio-Sánchez, D. J. Lehmann, A. Sanchez and J. L. Rojo Álvarez; Computer Graphics Forum (EuroVis), 2021

34) Meta-Parameter Selection for Embedding Generation of Latency Spaces in Auto Encoder Analytics
Maria Walch, Amala Paulson, Dirk J. Lehmann and Peter Schichtel; International conference on Time Series and Forecasting (ITISE) and at Contribution to Statistics (Springer), 2021

33) Insight Beyond Numbers: The Impact of Qualitative Factors on Visual Data Analysis B. Karer, H. Hagen and D. J. Lehmann; IEEE Transactions on Visualization and Computer Graphics (Proc. IEEE VAST), 2020

32) Interactive Visual Exploration of Local Patterns in Large Scatterplot Spaces; M. Chegini, L. Shao, R. Gregor, D. J. Lehmann, K. Andrews and T. Schreck; Computer Graphics Forum (EuroVis), 2018

31) Scaled Radial Axes for Interactive Visual Feature Selection: A Case Study for Analyzing Chronic Conditions, A. Sanchez, C. Soguero-Ruiz, I. Mora-Jiménez, F. J. Rivas-Flores, D. J. Lehmann and M. Rubio-Sánchez;
Expert Systems With Applications, 2018

30) Correlated Point Sampling for Geospatial Scalar Field Visualization; R. Roveri, D. J. Lehmann, M. Gross and T. Günther; Vision, Modeling and Visualization, 2018

29) Understanding a sequence of sequences: Visual exploration of categorical states in lake sediment cores, Andrea Unger, Nadine Dräger, Mike Sips and Dirk J. Lehmann;IEEE Transactions on Visualization and Computer Graphics (Proc. IEEE VAST), 2017

28) Visual Exploration of Global Trade Networks with Time-Dependent and Weighted Hierarchical Edge Bundles on GPU, Johannes Hofmann, Michael Groessler, Peter-Paul Pichler and Dirk J. Lehmann, Computer Graphics Forum (EuroVis), 2017

27) Interactive Regression Lens for Exploring Scatter Plots, Lin Shao, Aishwarya Mahajan, Tobias Schreck and Dirk J. Lehmann, Computer Graphics Forum (EuroVis), 2017

26) Adaptable Radial Axes Plots for Improved Multivariate Data Visualization, Manuel Rubio-Sanchez, Alberto Sanchez and Dirk J. Lehmann, Computer Graphics Forum (EuroVis), 2017

25) Linear Discriminative Star Coordinates for Exploring Class and Cluster Separation of High-Dimensional Data, Yunhai Wang, Jingting Li, Feiping Nie, Holger Theisel, Minglun Gong and Dirk J. Lehmann, Computer Graphics Forum (EuroVis), 2017

24) Dirk J. Lehmann and Holger Theisel

The LloydRelaxer: An Approach to Minimize Scaling Effects for Multivariate Projections

IEEE Transactions on Visualization and Computer Graphics, 2017

23) Chegini Mohammad, Lin Shao, Tobias Schreck, Keith Andrews and Dirk J. Lehmann

Interaction Concepts for Collaborative Visual Analysis of Scatterplots on Large Vertically-Mounted High-Resolution Multi-Touch Displays

Proc. Forum Medientechnik (FMT), 2017

22) Y. Wang, F. Nie, D. J. Lehmann and M. Gong

Discriminative Star Coordinates

Technical Report FIN-02-2016, University Magdeburg, 2016

21) D. J. Lehmann and H. Theisel

General Projective Maps for Multidimensional Data Projection

Computer Graphics Forum (Proc. Eurographics), 2016

20) D. J. Lehmann and H. Theisel

Optimal Sets of Projections of High-Dimensional Data

IEEE Transactions on Visualization and Computer Graphics

(Proceedings IEEE Information Visualization), 2015

19) D. J. Lehmann, F. Kemmler, T. Zhyhalava, M. Kirschke and H. Theisel

Visualnostics: Visual Guidance Pictograms for Analyzing Projections of High-dimensional Data

Computer Graphics Forum (Proc. EuroVis), 2015

18) D. J. Lehmann, S. Hundt and H. Theisel

A Study on Quality Metrics vs. Human Perception: Can Visual Measures Help us to Filter Visualizations of Interest?

Journal of Information Technology: Special Issue Visual Analytics, 2015

17) M. Rak, T. König, J. Steffen, D. J. Lehmann and K.-D. Tönnies

Density Difference Detection with Application to Exploratory Visualization

Pattern Recognition: Applications and Methods, 2015

16) T. Oster, D. J. Lehmann, G. Fru, H. Theisel and D. Thévenin

Sparse Representation and Visualization for Direct Numerical Simulation of Premixed Combustion

Computer Graphics Forum (In Proc. EuroVis), 2014

15) S. Oeltze, D. J. Lehmann, A. Kuhn, G. Janiga, H. Theisel and B. Preim

Blood Flow Clustering and Applications in Virtual Stenting of Intracranial Aneurysms

IEEE Transactions on Visualization and Computer Graphics, 2014

14) D. J. Lehmann and H. Theisel

Orthographic Star Coordinates

IEEE Transactions on Visualization and Computer Graphics

(Proceedings IEEE Information Visualization), 2013

13) M. Schulze, C. Roessl, D. J. Lehmann and H. Theisel

Reflected Vector Fields for Finding FTLE Ridges

Technical Report FIN-03-2013, Otto-von-Guericke-University, Magdeburg, 2013

12) D. J. Lehmann, G. Albuquerque, M. Eisemann, M. Magnor and H. Theisel

Selecting Coherent and Relevant Plots in Large Scatterplot Matrices

Computer Graphics Forum, 2012

11) R. Gasteiger, D. J. Lehmann, R. van Pelt, G. Janiga, O. Beuing, A. Vilanova, H. Theisel and B. Preim

Automatic Detection and Visualization of Qualitative Hemodynamic Characteristics in Cerebral Aneurysms

IEEE Transactions on Visualization and Computer Graphics (Proc. IEEE Visualization), 2012

10) Y. Wang, J. Zhang, D. J. Lehmann, H. Theisel and X. Chi

Automating Transfer Function Design with Valley Cell-Based Clustering of 2D Density Plots

Computer Graphics Forum (In Proc. EuroVis), 2012

9) G. Albuquerque, D. J. Lehmann, T. Rodermund, M. Eisemann, T. Nocke, M. Magnor and H. Theisel

Semi-Automatic Classification of Weather Maps

Technical Report-3-17, TU Braunschweig, 2012

8) S. Oeltze, D. J. Lehmann, H. Theisel and B. Preim
Evaluation of Streamline Clustering Techniques for Blood Flow Data
Technical Report FIN-06-2012, Otto-von-Guericke-University, Magdeburg, 2012

7) D. J. Lehmann and H. Theisel

Features in Continuous Parallel Coordinates

IEEE Transactions on Visualization and Computer Graphics (Proceedings IEEE Visualization), 2011

6) A. Kuhn, D. J. Lehmann, R. Gaststeiger, M. Neugebauer, B. Preim and H. Theisel

A Clustering-based Visualization Technique to Emphasize Meaningful Regions of Vector Fields

Proc. Vision, Modeling and Visualization (VMV), 2011

5) D. J. Lehmann and H. Theisel

Discontinuities in Continuous Scatterplots

IEEE Transactions on Visualization and Computer Graphics (Proceedings IEEE Visualization), 2010

4) Georgia Albuquerque, Martin Eisemann, Dirk J. Lehmann, Holger Theisel and Marcus Magnor

Improving the Visual Analysis of High-dimensional Datasets Using Quality Measures

Proceedings of the IEEE Symposium on Visual Analytics Science and Technology (IEEE VAST), 2010

3) D. J. Lehmann, G. Albuquerque, M. Eisemann, A. Tatu, D. Keim, H. Schumann, M. Magnor and H. Theisel

Visualisierung und Analyse multidimensionaler Datensätze

Springer Berlin / Heidelberg, Informatik-Spektrum, 2010

2) G. Albuquerque, M. Eisemann, D. J. Lehmann, H. Theisel and M. Magnor

Quality-Based Visualization Matrices

Proceedings of Vision, Modeling, and Visualization (VMV), 2009

1) Jana Dornheim, Dirk J. Lehmann, Lars Dornheim, Bernhard Preim and Gero Strauss

Reconstruction of Blood Vessels from Neck CT Datasets using Stable 3D Mass-Spring Models

VCBM, 2008