-
L. Vollmer, R. Loubet, D. Neider, H. Hasse, and H. Leitte. Combining Formal Reasoning and LLMs for Scenario-Based Educational STEM Exercises. Human-Centric Intelligent Systems, Sep. 2026.
10.1007/s44230-026-00174-1
@article{Vollmer_2026,
title = {Combining Formal Reasoning and LLMs for Scenario-Based Educational STEM Exercises},
issn = {2667-1336},
url = {http://dx.doi.org/10.1007/s44230-026-00174-1},
doi = {10.1007/s44230-026-00174-1},
journal = {Human-Centric Intelligent Systems},
publisher = {Springer Science and Business Media LLC},
author = {Vollmer, Luisa and Loubet, Rébecca and Neider, Daniel and Hasse, Hans and Leitte, Heike},
year = {2026},
month = sep
}
-
J. Arweiler, I. Jungjohann, A. Muraleedharan, H. Leitte, J. Burger, K. Münnemann, F. Jirasek, and H. Hasse. Batch Distillation Data for Developing Machine Learning Anomaly Detection Methods. Scientific Data, vol. 13, no. 1, Mar. 2026.
10.1038/s41597-026-07124-3
@article{Arweiler_2026,
title = {Batch Distillation Data for Developing Machine Learning Anomaly Detection Methods},
volume = {13},
issn = {2052-4463},
url = {http://dx.doi.org/10.1038/s41597-026-07124-3},
doi = {10.1038/s41597-026-07124-3},
number = {1},
journal = {Scientific Data},
publisher = {Springer Science and Business Media LLC},
author = {Arweiler, Justus and Jungjohann, Indra and Muraleedharan, Aparna and Leitte, Heike and Burger, Jakob and Münnemann, Kerstin and Jirasek, Fabian and Hasse, Hans},
year = {2026},
month = mar
}
-
R. Loubet, P. Zittlau, M. Hoffmann, L. Vollmer, S. Fellenz, H. Leitte, F. Jirasek, J. Lenhard, and H. Hasse. Superstudent intelligence in thermodynamics. Physics Education, vol. 61, no. 2, p. 025004, Jan. 2026.
10.1088/1361-6552/ae35bf
@article{Loubet_2026,
title = {Superstudent intelligence in thermodynamics},
volume = {61},
issn = {1361-6552},
url = {http://dx.doi.org/10.1088/1361-6552/ae35bf},
doi = {10.1088/1361-6552/ae35bf},
number = {2},
journal = {Physics Education},
publisher = {IOP Publishing},
author = {Loubet, Rébecca and Zittlau, Pascal and Hoffmann, Marco and Vollmer, Luisa and Fellenz, Sophie and Leitte, Heike and Jirasek, Fabian and Lenhard, Johannes and Hasse, Hans},
year = {2026},
month = jan,
pages = {025004}
}
-
R. Loubet, P. Zittlau, L. Vollmer, M. Hoffmann, S. Fellenz, F. Jirasek, H. Leitte, and H. Hasse. Using large language models for solving textbook-style thermodynamic problems. Computers & Chemical Engineering, vol. 204, p. 109333, Jan. 2026.
10.1016/j.compchemeng.2025.109333
@article{Loubet_2026a,
title = {Using large language models for solving textbook-style thermodynamic problems},
volume = {204},
issn = {0098-1354},
url = {http://dx.doi.org/10.1016/j.compchemeng.2025.109333},
doi = {10.1016/j.compchemeng.2025.109333},
journal = {Computers & Chemical Engineering},
publisher = {Elsevier BV},
author = {Loubet, Rébecca and Zittlau, Pascal and Vollmer, Luisa and Hoffmann, Marco and Fellenz, Sophie and Jirasek, Fabian and Leitte, Heike and Hasse, Hans},
year = {2026},
month = jan,
pages = {109333}
}
-
L. Vollmer, R. Loubet, H. Hasse, and H. Leitte. KnowTD Interface: An Interactive Neuro-Symbolic Workflow for Thermodynamics Problem Solving. In 2nd International Workshop on Symbolic and Generative AI for Science (SymGenAI4Sci), co-located with SEMANTiCS 2026: 22nd
International Conference on Semantic Systems, September 15, 2026, Ghent, Belgium, 2026, vol. 4292.
https://ceur-ws.org/Vol-4292/SymGenAI4Sci-paper7-short.pdf
@inproceedings{Luisa_2026,
author = {Vollmer, Luisa and Loubet, Rébecca and Hasse, Hans and Leitte, Heike},
title = {KnowTD Interface: An Interactive Neuro-Symbolic Workflow for Thermodynamics Problem Solving},
booktitle = {2nd International Workshop on Symbolic and Generative AI for Science (SymGenAI4Sci), co-located with SEMANTiCS 2026: 22nd
International Conference on Semantic Systems, September 15, 2026, Ghent, Belgium},
year = {2026},
volume = {4292},
publisher = {CEUR-WS.org},
url = {https://ceur-ws.org/Vol-4292/SymGenAI4Sci-paper7-short.pdf},
orcidwork = {0009-0007-6698-9578:230929352}
}
-
D. Gond, J.-T. Sohns, H. Leitte, H. Hasse, and F. Jirasek. Hierarchical matrix completion for the prediction of properties of binary mixtures. Computers & Chemical Engineering, vol. 199, p. 109122, Aug. 2025.
10.1016/j.compchemeng.2025.109122
@article{Gond_2025,
title = {Hierarchical matrix completion for the prediction of properties of binary mixtures},
volume = {199},
issn = {0098-1354},
url = {http://dx.doi.org/10.1016/j.compchemeng.2025.109122},
doi = {10.1016/j.compchemeng.2025.109122},
journal = {Computers & Chemical Engineering},
publisher = {Elsevier BV},
author = {Gond, Dominik and Sohns, Jan-Tobias and Leitte, Heike and Hasse, Hans and Jirasek, Fabian},
year = {2025},
month = aug,
pages = {109122}
}
-
F. Wetzels, H. Leitte, and C. Garth. Accelerating Computation of Stable Merge Tree Edit Distances Using Parameterized Heuristics. IEEE Transactions on Visualization and Computer Graphics, vol. 31, no. 6, pp. 3706–3718, 2025.
10.1109/TVCG.2025.3567120
@article{10988931,
author = {Wetzels, Florian and Leitte, Heike and Garth, Christoph},
journal = {IEEE Transactions on Visualization and Computer Graphics},
title = {Accelerating Computation of Stable Merge Tree Edit Distances Using Parameterized Heuristics},
year = {2025},
volume = {31},
number = {6},
pages = {3706-3718},
keywords = {Runtime;Heuristic algorithms;Costs;Surveys;Polynomials;Visualization;Transforms;Stability criteria;Perturbation methods;Image edge detection;Scalar data;topological data analysis;merge trees;edit distance},
doi = {10.1109/TVCG.2025.3567120}
}
-
L. Vollmer, R. Loubet, F. Jirasek, S. Fellenz, H. Hasse, and H. Leitte. Enabling Transparent Problem Solving in Thermodynamics with Ontologies
and Knowledge Graphs. In Joint Proceedings of the ESWC 2025 Workshops and Tutorials co-located
with 22nd Extended Semantic Web Conference (ESWC 2025), Portorož,
Slovenia, June 1-2, 2025, 2025, vol. 3977.
https://ceur-ws.org/Vol-3977/XAIKG-3.pdf
@inproceedings{Leitte_2025,
author = {Vollmer, Luisa and Loubet, Rébecca and Jirasek, Fabian and Fellenz, Sophie and Hasse, Hans and Leitte, Heike},
title = {Enabling Transparent Problem Solving in Thermodynamics with Ontologies
and Knowledge Graphs},
booktitle = {Joint Proceedings of the ESWC 2025 Workshops and Tutorials co-located
with 22nd Extended Semantic Web Conference (ESWC 2025), Portorož,
Slovenia, June 1-2, 2025},
year = {2025},
editor = {Sabou, Marta and Harth, Andreas and Lisena, Pasquale and Curry, Edward and Zhang, Bohui and Alharbi, Reham and He, Yuan and Rehm, Georg and Schimmler, Sonja and Dietze, Stefan and Manola, Natalia and Fornara, Nicoletta and Rodr{\'{\i}}guez{-}Doncel, V{\'{\i}}ctor and Domingue, John and Rettinger, Achim and Trilling, Damian and Grobelnik, Marko and d'Amato, Claudia and Fionda, Valeria and Tiddi, Ilaria and Tolomei, Gabriele},
volume = {3977},
publisher = {CEUR-WS.org},
url = {https://ceur-ws.org/Vol-3977/XAIKG-3.pdf},
orcidwork = {0009-0007-6698-9578:230928958}
}
-
K. Iselborn, M. Allmann, J.-T. Sohns, and H. Leitte. Visual Anomaly Detection in Temporal Knowledge Graphs. In 2024 IEEE Visual Analytics Science and Technology VAST Challenge, Oct. 2024, pp. 21–23.
10.1109/vastchallenge64683.2024.00015
@inproceedings{Iselborn_2024,
title = {Visual Anomaly Detection in Temporal Knowledge Graphs},
url = {http://dx.doi.org/10.1109/vastchallenge64683.2024.00015},
doi = {10.1109/vastchallenge64683.2024.00015},
booktitle = {2024 IEEE Visual Analytics Science and Technology VAST Challenge},
publisher = {IEEE},
author = {Iselborn, Kevin and Allmann, Magdalena and Sohns, Jan-Tobias and Leitte, Heike},
year = {2024},
month = oct,
pages = {21–23}
}
-
L. Vollmer, S. Fellenz, F. Jirasek, H. Leitte, and H. Hasse. KnowTD─An Actionable Knowledge Representation System for Thermodynamics. Journal of Chemical Information and Modeling, vol. 64, no. 15, pp. 5878–5887, Jul. 2024.
10.1021/acs.jcim.4c00647
@article{Vollmer_2024,
title = {KnowTD─An Actionable Knowledge Representation System for Thermodynamics},
volume = {64},
issn = {1549-960X},
url = {http://dx.doi.org/10.1021/acs.jcim.4c00647},
doi = {10.1021/acs.jcim.4c00647},
number = {15},
journal = {Journal of Chemical Information and Modeling},
publisher = {American Chemical Society (ACS)},
author = {Vollmer, Luisa and Fellenz, Sophie and Jirasek, Fabian and Leitte, Heike and Hasse, Hans},
year = {2024},
month = jul,
pages = {5878–5887}
}
-
J.-T. Sohns, D. Gond, F. Jirasek, H. Hasse, and H. Leitte. Visual Scalar Matrix Evaluation: An Application to Thermodynamics. VisGap - The Gap between Visualization Research and Visualization Software, 2024.
10.2312/VISGAP.20241121
@article{https://doi.org/10.2312/visgap.20241121,
doi = {10.2312/VISGAP.20241121},
url = {https://diglib.eg.org/handle/10.2312/visgap20241121},
author = {Sohns, Jan-Tobias and Gond, Dominik and Jirasek, Fabian and Hasse, Hans and Leitte, Heike},
keywords = {CCS Concepts: Human-centered computing → Heat maps; Dendrograms; Applied computing → Chemistry; Engineering, Human centered computing → Heat maps, Dendrograms, Applied computing → Chemistry, Engineering},
title = {Visual Scalar Matrix Evaluation: An Application to Thermodynamics},
journal = {VisGap - The Gap between Visualization Research and Visualization Software},
publisher = {The Eurographics Association},
year = {2024},
copyright = {Creative Commons Attribution 4.0 International}
}
-
F. Wetzels, H. Leitte, and C. Garth. Branch Decomposition‐Independent Edit Distances for Merge Trees. Computer Graphics Forum, vol. 41, no. 3, pp. 367–378, Jun. 2022.
10.1111/cgf.14547
@article{Wetzels_2022,
title = {Branch Decomposition‐Independent Edit Distances for Merge Trees},
volume = {41},
issn = {1467-8659},
url = {http://dx.doi.org/10.1111/cgf.14547},
doi = {10.1111/cgf.14547},
number = {3},
journal = {Computer Graphics Forum},
publisher = {Wiley},
author = {Wetzels, Florian and Leitte, Heike and Garth, Christoph},
year = {2022},
month = jun,
pages = {367–378}
}
-
V. S. Victor, A. Schmeiser, H. Leitte, and S. Gramsch. Visual Parameter Space Analysis for Optimizing the Quality of Industrial Nonwovens. IEEE Computer Graphics and Applications, vol. 42, no. 2, pp. 56–67, Mar. 2022.
10.1109/mcg.2022.3155867
@article{Victor_2022,
title = {Visual Parameter Space Analysis for Optimizing the Quality of Industrial Nonwovens},
volume = {42},
issn = {1558-1756},
url = {http://dx.doi.org/10.1109/mcg.2022.3155867},
doi = {10.1109/mcg.2022.3155867},
number = {2},
journal = {IEEE Computer Graphics and Applications},
publisher = {Institute of Electrical and Electronics Engineers (IEEE)},
author = {Victor, Viny Saajan and Schmeiser, Andre and Leitte, Heike and Gramsch, Simone},
year = {2022},
month = mar,
pages = {56–67}
}
-
A. Lohfink, S. Anton, H. Leitte, and C. Garth. Knowledge Rocks: Adding Knowledge Assistance to Visualization Systems. IEEE Transactions on Visualization & Computer Graphics, vol. 28, no. 01, pp. 1117–1127, Jan. 2022.
10.1109/TVCG.2021.3114687
@article{lagg21,
author = {Lohfink, A. and Anton, S. and Leitte, H. and Garth, C.},
journal = {IEEE Transactions on Visualization & Computer Graphics},
title = {Knowledge Rocks: Adding Knowledge Assistance to Visualization Systems},
year = {2022},
volume = {28},
number = {01},
issn = {1941-0506},
pages = {1117-1127},
keywords = {data visualization;ontologies;knowledge based systems;lesions;computer architecture;rocks;security},
doi = {10.1109/TVCG.2021.3114687},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
month = jan
}
-
J.-T. Sohns, M. Schmitt, F. Jirasek, H. Hasse, and H. Leitte. Attribute-based Explanation of Non-Linear Embeddings of High-Dimensional Data. IEEE Transactions on Visualization and Computer Graphics, vol. 28, no. 1, pp. 540–550, Jan. 2022.
10.1109/tvcg.2021.3114870
@article{Sohns_2022,
title = {Attribute-based Explanation of Non-Linear Embeddings of High-Dimensional Data},
volume = {28},
issn = {2160-9306},
url = {http://dx.doi.org/10.1109/tvcg.2021.3114870},
doi = {10.1109/tvcg.2021.3114870},
number = {1},
journal = {IEEE Transactions on Visualization and Computer Graphics},
publisher = {Institute of Electrical and Electronics Engineers (IEEE)},
author = {Sohns, Jan-Tobias and Schmitt, Michaela and Jirasek, Fabian and Hasse, Hans and Leitte, Heike},
year = {2022},
month = jan,
pages = {540–550}
}
-
C. Kappe, M. Böttinger, and H. Leitte. Topology-based feature analysis of scalar field ensembles: An application to climate (change) analysis. Computers & Graphics, 2022.
10.1016/j.cag.2022.03.004
@article{KAPPE2022,
title = {Topology-based feature analysis of scalar field ensembles: An application to climate (change) analysis},
journal = {Computers & Graphics},
year = {2022},
issn = {0097-8493},
doi = {10.1016/j.cag.2022.03.004},
author = {Kappe, Christopher and B{\"o}ttinger, Michael and Leitte, Heike},
keywords = {Computers and graphics, Formatting, Guidelines}
}
-
F. Claus, H. Hagen, V. Leonhardt, H. Leitte, and B. Hamann. Interactive Quality Inspection of Measured Deviations in Sheet Metal Assemblies. In OASIcs, Volume 89, iPMVM 2020, 2021, vol. 89, pp. 6:1–6:18.
10.4230/OASICS.IPMVM.2020.6
@inproceedings{https://doi.org/10.4230/oasics.ipmvm.2020.6,
doi = {10.4230/OASICS.IPMVM.2020.6},
url = {https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.iPMVM.2020.6},
author = {Claus, Felix and Hagen, Hans and Leonhardt, Viktor and Leitte, Heike and Hamann, Bernd},
keywords = {Data Analysis, Interactive Inspection, 3D-Metrology, Finite Element Simulation, Applied computing},
language = {en},
title = {Interactive Quality Inspection of Measured Deviations in Sheet Metal Assemblies},
journal = {OASIcs, Volume 89, iPMVM 2020},
volume = {89},
pages = {6:1-6:18},
publisher = {Schloss Dagstuhl – Leibniz-Zentrum für Informatik},
year = {2021},
copyright = {Creative Commons Attribution 4.0 International license}
}
-
P. Ruediger, C. Garth, H. Hagen, and H. Leitte. Is Smaller Always Better? - Evaluating Video Compression Techniques for Simulation Ensembles. In 2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020), Dagstuhl, Germany, 2021, vol. 89, pp. 10:1–10:18.
10.4230/OASIcs.iPMVM.2020.10
@inproceedings{ruediger_et_al:OASIcs.iPMVM.2020.10,
author = {Ruediger, Patrick and Garth, Christoph and Hagen, Hans and Leitte, Heike},
title = {{Is Smaller Always Better? - Evaluating Video Compression Techniques for Simulation Ensembles}},
booktitle = {2nd International Conference of the DFG International Research Training Group 2057 -- Physical Modeling for Virtual Manufacturing (iPMVM 2020)},
pages = {10:1--10:18},
series = {Open Access Series in Informatics (OASIcs)},
isbn = {978-3-95977-183-2},
issn = {2190-6807},
year = {2021},
volume = {89},
editor = {Garth, Christoph and Aurich, Jan C. and Linke, Barbara and M\"{u}ller, Ralf and Ravani, Bahram and Weber, Gunther H. and Kirsch, Benjamin},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
url = {https://drops.dagstuhl.de/opus/volltexte/2021/13759},
urn = {urn:nbn:de:0030-drops-137591},
doi = {10.4230/OASIcs.iPMVM.2020.10},
annote = {Keywords: Image Database, CinemaDB, Video Compression, Evaluation, Benchmark, In-situ}
}
-
P. Ruediger, F. Claus, B. Hamann, H. Hagen, and H. Leitte. Combining Visual Analytics and Machine Learning for Reverse Engineering in Assembly Quality Control. Journal of Imaging Science and Technology, vol. 64, no. 6, pp. 060405–1–060405–13, Nov. 2020.
10.2352/j.imagingsci.technol.2020.64.6.060405
@article{Ruediger_2020,
title = {Combining Visual Analytics and Machine Learning for Reverse Engineering in Assembly Quality Control},
volume = {64},
issn = {1943-3522},
url = {http://dx.doi.org/10.2352/j.imagingsci.technol.2020.64.6.060405},
doi = {10.2352/j.imagingsci.technol.2020.64.6.060405},
number = {6},
journal = {Journal of Imaging Science and Technology},
publisher = {Society for Imaging Science & Technology},
author = {Ruediger, Patrick and Claus, Felix and Hamann, Bernd and Hagen, Hans and Leitte, Heike},
year = {2020},
month = nov,
pages = {060405–1–060405–13}
}
-
B. Karer, I. Scheler, H. Hagen, and H. Leitte. ConceptGraph: A Formal Model for Interpretation and Reasoning During Visual Analysis. Computer Graphics Forum, vol. 39, no. 6, pp. 5–18, Feb. 2020.
10.1111/cgf.13899
@article{Karer_2020,
title = {ConceptGraph: A Formal Model for Interpretation and Reasoning During Visual Analysis},
volume = {39},
issn = {1467-8659},
url = {http://dx.doi.org/10.1111/cgf.13899},
doi = {10.1111/cgf.13899},
number = {6},
journal = {Computer Graphics Forum},
publisher = {Wiley},
author = {Karer, B. and Scheler, I. and Hagen, H. and Leitte, H.},
year = {2020},
month = feb,
pages = {5–18}
}
-
G. Aldrich, J. Lukasczyk, J. D. Hyman, G. Srinivasan, H. S. Viswanathan, C. Garth, H. Leitte, J. P. Ahrens, and B. Hamann. A Query-Based Framework for Searching, Sorting, and
Exploring Data Ensembles. Comput. Sci. Eng., vol. 22, no. 2, pp. 64–76, 2020.
10.1109/MCSE.2019.2908104
@article{alhs+20,
author = {Aldrich, Garrett and Lukasczyk, Jonas and Hyman, Jeffrey D. and Srinivasan, Gowri and Viswanathan, Hari S. and Garth, Christoph and Leitte, Heike and Ahrens, James P. and Hamann, Bernd},
doi = {10.1109/MCSE.2019.2908104},
journal = {Comput. Sci. Eng.},
number = {2},
pages = {64--76},
timestamp = {Thu, 19 Mar 2020 10:24:12 +0100},
title = {A Query-Based Framework for Searching, Sorting, and
Exploring Data Ensembles},
url = {https://doi.org/10.1109/MCSE.2019.2908104},
volume = {22},
year = {2020}
}
-
A. P. Lohfink, S. D. Antón, H. D. Schotten, H. Leitte, and C. Garth. Security in Process: Visually Supported Triage Analysis in
Industrial Process Data. IEEE Trans. Vis. Comput. Graph., vol. 26, no. 4, pp. 1638–1649, 2020.
10.1109/TVCG.2020.2969007
@article{lasl+20,
author = {Lohfink, Anna Pia and Ant{\'{o}}n, Simon Duque and Schotten, Hans Dieter and Leitte, Heike and Garth, Christoph},
doi = {10.1109/TVCG.2020.2969007},
journal = {{IEEE} Trans. Vis. Comput. Graph.},
number = {4},
pages = {1638--1649},
timestamp = {Sat, 30 May 2020 19:47:52 +0200},
title = {Security in Process: Visually Supported Triage Analysis in
Industrial Process Data},
url = {https://doi.org/10.1109/TVCG.2020.2969007},
volume = {26},
year = {2020}
}
Abstract: Operation technology networks, i.e. hard- and software
used for monitoring and controlling physical/industrial
processes, have been considered immune to cyber attacks for
a long time. A recent increase of attacks in these networks
proves this assumption wrong. Several technical constraints
lead to approaches to detect attacks on industrial
processes using available sensor data. This setting differs
fundamentally from anomaly detection in IT-network traffic
and requires new visualization approaches adapted to the
common periodical behavior in OT-network data. We present a
tailored visualization system that utilizes inherent
features of measurements from industrial processes to full
capacity to provide insight into the data and support
triage analysis by laymen and experts. The novel
combination of spiral plots with results from anomaly
detection was implemented in an interactive system. The
capabilities of our system are demonstrated using sensor
and actuator data from a real-world water treatment process
with introduced attacks. Exemplary analysis strategies are
presented. Finally, we evaluate effectiveness and usability
of our system and perform an expert evaluation.
-
J. Lukasczyk, C. Garth, G. H. Weber, T. Biedert, R. Maciejewski, and H. Leitte. Dynamic Nested Tracking Graphs. IEEE Trans. Vis. Comput. Graph., vol. 26, no. 1, pp. 249–258, 2020.
10.1109/TVCG.2019.2934368
@article{lgwb+20,
author = {Lukasczyk, Jonas and Garth, Christoph and Weber, Gunther H. and Biedert, Tim and Maciejewski, Ross and Leitte, Heike},
doi = {10.1109/TVCG.2019.2934368},
journal = {{IEEE} Trans. Vis. Comput. Graph.},
number = {1},
pages = {249--258},
timestamp = {Mon, 15 Jun 2020 16:51:31 +0200},
title = {Dynamic Nested Tracking Graphs},
url = {https://doi.org/10.1109/TVCG.2019.2934368},
volume = {26},
year = {2020}
}
-
S. Miksch, H. Leitte, and M. Chen. Knowledge-Assisted Visualization and Guidance. In Foundations of Data Visualization, M. Chen, H. Hauser, P. Rheingans, and G. Scheuermann, Eds. Springer, 2020, pp. 61–85.
10.1007/978-3-030-34444-3_4
@incollection{mlc20,
author = {Miksch, Silvia and Leitte, Heike and Chen, Min},
booktitle = {Foundations of Data Visualization},
doi = {10.1007/978-3-030-34444-3\_4},
editor = {Chen, Min and Hauser, Helwig and Rheingans, Penny and Scheuermann, Gerik},
pages = {61--85},
publisher = {Springer},
timestamp = {Thu, 20 Aug 2020 18:46:21 +0200},
title = {Knowledge-Assisted Visualization and Guidance},
url = {https://doi.org/10.1007/978-3-030-34444-3\_4},
year = {2020}
}
-
B. Rieck, F. Sadlo, and H. Leitte. Hierarchies and Ranks for Persistence Pairs. In Topological Methods in Data Analysis and Visualization V, Springer International Publishing, 2020, pp. 3–17.
10.1007/978-3-030-43036-8_1
@inbook{Rieck_2020,
title = {Hierarchies and Ranks for Persistence Pairs},
isbn = {9783030430368},
issn = {2197-666X},
url = {http://dx.doi.org/10.1007/978-3-030-43036-8_1},
doi = {10.1007/978-3-030-43036-8_1},
booktitle = {Topological Methods in Data Analysis and Visualization V},
publisher = {Springer International Publishing},
author = {Rieck, Bastian and Sadlo, Filip and Leitte, Heike},
year = {2020},
pages = {3–17}
}
-
B. Rieck, F. Sadlo, and H. Leitte. Persistence Concepts for 2D Skeleton Evolution Analysis. In Topological Methods in Data Analysis and Visualization V, Springer International Publishing, 2020, pp. 139–154.
10.1007/978-3-030-43036-8_9
@inbook{Rieck_2020a,
title = {Persistence Concepts for 2D Skeleton Evolution Analysis},
isbn = {9783030430368},
issn = {2197-666X},
url = {http://dx.doi.org/10.1007/978-3-030-43036-8_9},
doi = {10.1007/978-3-030-43036-8_9},
booktitle = {Topological Methods in Data Analysis and Visualization V},
publisher = {Springer International Publishing},
author = {Rieck, Bastian and Sadlo, Filip and Leitte, Heike},
year = {2020},
pages = {139–154}
}
-
B. Rieck, M. Banagl, F. Sadlo, and H. Leitte. Persistent Intersection Homology for the Analysis of Discrete Data. In Topological Methods in Data Analysis and Visualization V, Springer International Publishing, 2020, pp. 37–51.
10.1007/978-3-030-43036-8_3
@inbook{Rieck_2020b,
title = {Persistent Intersection Homology for the Analysis of Discrete Data},
isbn = {9783030430368},
issn = {2197-666X},
url = {http://dx.doi.org/10.1007/978-3-030-43036-8_3},
doi = {10.1007/978-3-030-43036-8_3},
booktitle = {Topological Methods in Data Analysis and Visualization V},
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author = {Rieck, Bastian and Banagl, Markus and Sadlo, Filip and Leitte, Heike},
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pages = {37–51}
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title = {Topological Machine Learning with Persistence Indicator Functions},
isbn = {9783030430368},
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url = {http://dx.doi.org/10.1007/978-3-030-43036-8_6},
doi = {10.1007/978-3-030-43036-8_6},
booktitle = {Topological Methods in Data Analysis and Visualization V},
publisher = {Springer International Publishing},
author = {Rieck, Bastian and Sadlo, Filip and Leitte, Heike},
year = {2020},
pages = {87–101}
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author = {Victor, V.S. and Vadiraja, P. and Sohns, J.-T. and Leitte, H.},
title = {Visual probing and correction of object recognition models with interactive user feedback},
year = {2020},
url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-85101688422&partnerID=MN8TOARS},
orcidwork = {0000-0002-7112-2190:98820339}
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C. P. Kappe, M. Böttinger, and H. Leitte. Analysis of Decadal Climate Predictions with User-guided
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author = {Kappe, Christopher P. and B{\"{o}}ttinger, Michael and Leitte, Heike},
doi = {10.1111/cgf.13706},
journal = {Comput. Graph. Forum},
number = {3},
pages = {505--515},
timestamp = {Thu, 08 Aug 2019 01:00:00 +0200},
title = {Analysis of Decadal Climate Predictions with User-guided
Hierarchical Ensemble Clustering},
url = {https://doi.org/10.1111/cgf.13706},
volume = {38},
year = {2019}
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doi = {10.1109/TVCG.2018.2810919},
journal = {{IEEE} Trans. Vis. Comput. Graph.},
number = {3},
pages = {1499--1512},
timestamp = {Sat, 30 May 2020 01:00:00 +0200},
title = {Exploring Variability within Ensembles of Decadal Climate
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url = {https://doi.org/10.1109/TVCG.2018.2810919},
volume = {25},
year = {2019}
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C. P. Kappe, M. Böttinger, and H. Leitte. Topology-based Feature Detection in Climate Data. In 7th Workshop on Visualisation in Environmental Sciences,
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author = {Kappe, Christopher P. and B{\"{o}}ttinger, Michael and Leitte, Heike},
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doi = {10.2312/envirvis.20191099},
editor = {Bujack, Roxana and Feige, Kathrin and Rink, Karsten and Zeckzer, Dirk},
pages = {9--16},
publisher = {Eurographics Association},
timestamp = {Wed, 24 Jun 2020 16:15:01 +0200},
title = {Topology-based Feature Detection in Climate Data},
url = {https://doi.org/10.2312/envirvis.20191099},
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title = {Visualization of Equivalence in 2D Bivariate Fields},
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doi = {10.1109/LDAV.2018.8739204},
pages = {12--22},
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title = {{VOIDGA:} {A} View-Approximation Oriented Image Database
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url = {https://doi.org/10.1109/LDAV.2018.8739204},
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title = {Exploring and Comparing Clusterings of Multivariate Data
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url = {http://dx.doi.org/10.1007/978-3-642-33712-3_11},
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}
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H. Jänicke, R. Borgo, J. S. D. Mason, and M. Chen. SoundRiver: Semantically-Rich Sound Illustration. Comput. Graph. Forum, vol. 29, no. 2, pp. 357–366, 2010.
10.1111/j.1467-8659.2009.01605.x
@article{jbmc10,
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timestamp = {Tue, 04 Jun 2019 01:00:00 +0200},
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H. Jänicke and M. Chen. A Salience-based Quality Metric for Visualization. Comput. Graph. Forum, vol. 29, no. 3, pp. 1183–1192, 2010.
10.1111/j.1467-8659.2009.01667.x
@article{jc10,
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timestamp = {Tue, 04 Jun 2019 01:00:00 +0200},
title = {A Salience-based Quality Metric for Visualization},
url = {https://doi.org/10.1111/j.1467-8659.2009.01667.x},
volume = {29},
year = {2010}
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H. Jänicke and G. Scheuermann. Measuring Complexity in Lagrangian and Eulerian Flow
Descriptions. Comput. Graph. Forum, vol. 29, no. 6, pp. 1783–1794, 2010.
10.1111/j.1467-8659.2010.01648.x
@article{js10,
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title = {Measuring Complexity in Lagrangian and Eulerian Flow
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url = {https://doi.org/10.1111/j.1467-8659.2010.01648.x},
volume = {29},
year = {2010}
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H. Jänicke and G. Scheuermann. Towards Automatic Feature-based Visualization. In Scientific Visualization: Advanced Concepts, vol. 1, H. Hagen, Ed. Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik,
Germany, 2010, pp. 62–77.
10.4230/DFU.SciViz.2010.62
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H. Jänicke and G. Scheuermann. Visual Analysis of Flow Features Using Information
Theory. IEEE Computer Graphics and Applications, vol. 30, no. 1, pp. 40–49, 2010.
10.1109/MCG.2010.17
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volume = {30},
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P. Oesterling, C. Heine, H. Jänicke, and G. Scheuermann. Visual analysis of high dimensional point clouds using
topological landscapes. In IEEE Pacific Visualization Symposium PacificVis 2010,
Taipei, Taiwan, March 2-5, 2010, 2010, pp. 113–120.
10.1109/PACIFICVIS.2010.5429601
@inproceedings{ohjs10,
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H. Jänicke, M. Böttinger, and G. Scheuermann. Brushing of Attribute Clouds for the Visualization of
Multivariate Data. IEEE Trans. Vis. Comput. Graph., vol. 14, no. 6, pp. 1459–1466, 2008.
10.1109/TVCG.2008.116
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H. Jänicke, M. Böttinger, X. Tricoche, and G. Scheuermann. Automatic Detection and Visualization of Distinctive
Structures in 3D Unsteady Multi-fields. Comput. Graph. Forum, vol. 27, no. 3, pp. 767–774, 2008.
10.1111/j.1467-8659.2008.01206.x
@article{jbts08,
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volume = {27},
year = {2008}
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-
T. Salzbrunn, H. Jänicke, T. Wischgoll, and G. Scheuermann. The State of the Art in Flow Visualization:
Partition-Based Techniques. In Simulation and Visualization 2008 (SimVis 2008), 18-29
Februar 2008, Magdeburg, 2008, pp. 75–92.
http://www.simvis.org/Tagung2008/sv-proceedings.html
@inproceedings{sjws08,
author = {Salzbrunn, Tobias and J{\"{a}}nicke, Heike and Wischgoll, Thomas and Scheuermann, Gerik},
booktitle = {Simulation and Visualization 2008 (SimVis 2008), 18-29
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