T. Munz-Körner, und D. Weiskopf. Software, (2024)Related to: T. Munz-Körner, D. Weiskopf, Exploring visual quality of multidimensional time series projections, Visual Informatics (2024). doi: 10.1016/j.visinf.2024.04.004.
M. Koch, N. Pathmanathan, D. Weiskopf, und K. Kurzhals. Dataset, (2024)Related to: Maurice Koch, Nelusa Pathmanathan, Daniel Weiskopf, and Kuno Kurzhals.2024. How Deep Is Your Gaze? Leveraging Distance in Image-Based GazeAnalysis. In 2024 Symposium on Eye Tracking Research and Applications(ETRA ’24), June 04–07, 2024, Glasgow, United Kingdom. ACM, New York,NY, USA, 7 pages. doi: 10.1145/3649902.3653349.
Y. Wang, und A. Bulling. Software, (2024)Related to: Y. Wang, Y. Jiang, Z. Hu, C. Ruhdorfer, M. Bâce, A. Bulling. "VisRecall++: Analysing and Predicting Recallability of Information Visualisations from Gaze Behaviour", in Proceedings of the ACM on Human-Computer Interaction (PACM HCI). doi: 10.1145/3655613.
J. Pelzer. Software, (2024)Related to: Pelzer, Julia, and Miriam Schulte. "Efficient two-stage modeling of heat plume interactions of geothermal heat pumps in shallow aquifers using convolutional neural networks." Geoenergy Science and Engineering (2024): 212788. doi: 10.1016/j.geoen.2024.212788.
J. Pelzer. Software, (2024)Related to: Pelzer, Julia, and Miriam Schulte. "Efficient two-stage modeling of heat plume interactions of geothermal heat pumps in shallow aquifers using convolutional neural networks." Geoenergy Science and Engineering (2024): 212788. doi: 10.1016/j.geoen.2024.212788.
Y. Wang, und A. Bulling. Software, (2024)Related to: Y. Wang, Q. Dai, M. Bâce, K. Klein, A. Bulling. "Saliency3D: A 3D Saliency Dataset Collected on Screen", in Proceedings of the ACM Symposium on Eye Tracking Research & Applications (ETRA '24). doi: 10.1145/3649902.3653350.
T. Krake, D. Klötzl, D. Hägele, und D. Weiskopf. Dataset, (2024)Related to: Tim Krake, Daniel Klötzl, David Hägele, and Daniel Weiskopf, Üncertainty-Aware Seasonal-Trend Decomposition Based on Loess", in IEEE Transactions on Visualization and Computer Graphics, 2024. doi: 10.1109/TVCG.2024.3364388.
C. Homs Pons, und R. Lautenschlager. Software, (2024)Related to: Coupled Simulations and Parameter Inversion for Neural System and Electrophysiological Muscle Models, submitted to GAMM Mitteilungen.
N. Rodrigues, F. Dennig, V. Brandt, D. Keim, und D. Weiskopf. Software, (2024)Related to: Rodrigues, N., Dennig, F. L., Brandt, V., Keim, D. A., & Weiskopf, D. (2024). Comparative Evaluation of Animated Scatter Plot Transitions. arXiv preprint. arXiv: 2401.04692.
Y. Wang. Software, (2024)Related to: Y. Wang, W. Wang, A. Abdelhafez, M. Elfares, Z. Hu, M. Bâce, A. Bulling. "SalChartQA: Question-driven Saliency on Information Visualisations", in Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems. doi: 10.1145/3613904.3642942.
R. Pesl, M. Stötzner, I. Georgievski, und M. Aiello. Dataset, (2023)Related to: Pesl, R.D., Stötzner, M., Georgievski, I., Aiello, M.: Uncovering LLMs for Service-Composition: Challenges and Opportunities. In: ICSOC 2023 Workshops (2023).
J. Pelzer. Dataset, (2023)Related to: Pelzer, Julia, and Miriam Schulte. "Efficient two-stage modeling of heat plume interactions of geothermal heat pumps in shallow aquifers using convolutional neural networks." Geoenergy Science and Engineering (2024): 212788. doi: 10.1016/j.geoen.2024.212788.
J. Pelzer. Dataset, (2023)Related to: Pelzer, Julia, and Miriam Schulte. "Efficient two-stage modeling of heat plume interactions of geothermal heat pumps in shallow aquifers using convolutional neural networks." Geoenergy Science and Engineering (2024): 212788. doi: 10.1016/j.geoen.2024.212788.
J. Pelzer. Dataset, (2023)Related to: Pelzer, Julia, and Miriam Schulte. "Efficient two-stage modeling of heat plume interactions of geothermal heat pumps in shallow aquifers using convolutional neural networks." Geoenergy Science and Engineering (2024): 212788. doi: 10.1016/j.geoen.2024.212788.
J. Pelzer. Dataset, (2023)Related to: Pelzer, Julia, and Miriam Schulte. "Efficient two-stage modeling of heat plume interactions of geothermal heat pumps in shallow aquifers using convolutional neural networks." Geoenergy Science and Engineering (2024): 212788. doi: 10.1016/j.geoen.2024.212788.
R. Skukies. Software, (2023)Related to: Skukies, R., & Ehinger, B. V. (2023). The effect of estimation time window length on overlap correction in EEG data (2023.06.05.543689). bioRxiv. doi: 10.1101/2023.06.05.543689.
N. Schäfer, P. Tilli, T. Munz-Körner, S. Künzel, S. Vidyapu, N. Vu, und D. Weiskopf. Dataset, (2023)Related to: N. Schäfer, S. Künzel, T. Munz, P. Tilli, N. T. Vu, and D. Weiskopf. Visual Analysis of Scene-Graph-Based Visual Question Answering. Proceedings of the 16th International Symposium on Visual Information Communication and Interaction (VINCI 2023). 2023.
N. Schäfer, P. Tilli, T. Munz-Körner, S. Künzel, S. Vidyapu, N. Vu, und D. Weiskopf. Software, (2023)Related to: N. Schäfer, S. Künzel, T. Munz, P. Tilli, N. T. Vu, and D. Weiskopf. Visual Analysis of Scene-Graph-Based Visual Question Answering. Proceedings of the 16th International Symposium on Visual Information Communication and Interaction (VINCI 2023). 2023.
T. Munz-Körner, S. Künzel, und D. Weiskopf. Dataset, (2023)Related to: T. Munz-Körner, S. Künzel, and D. Weiskopf. "Visual-Explainable AI: The Use Case of Language Models". International Conference on Data-Integrated Simulation Science (SimTech2023). 2023.
T. Schrader, D. Schneider, und B. Uekermann. Software, (2023)Related to: David Schneider, Timo Pierre Schrader, Benjamin Uekermann: "Data-Parallel Radial-Basis Function Interpolation in preCICE", International Conference on Computational Methods for Coupled Problems in Science and Engineering 2023 (in preparation).
F. Huber, P. Bürkner, D. Göddeke, und M. Schulte. Dataset, (2023)Related to: Huber, Felix; Bürkner, Paul-Christian; Göddeke, Dominik; Schulte, MiriamKnowledge-Based Modeling of Simulation Behavior for Bayesian OptimizationComputational Mechanics (submitted).
L. Willeke, D. Schneider, und B. Uekermann. Software, (2023)Related to: Willeke, Leonard; Schneider, David; Uekermann, Benjamin; 2023; Ä preCICE-FMI runner to Couple FMUs to PDE-Based Simulations" (submitted).
N. Pathmanathan, S. Öney, M. Becher, M. Sedlmair, D. Weiskopf, und K. Kurzhals. Software, (2023)Related to: Pathmanathan, N., Öney, S., Becher, M., Sedlmair, M., Weiskopf, D. and Kurzhals, K. (2023), Been There, Seen That: Visualization of Movement and 3D Eye Tracking Data from Real-World Environments. Computer Graphics Forum, 42: 385-396. doi: 10.1111/cgf.14838.
M. Braun, G. Reina, und T. Ertl. Dataset, (2023)Related to: P. Gralka, M. Becher, M. Braun, F. Frieß, C. Müller, T. Rau, K. Schatz, C. Schulz, M. Krone, G. Reina, T. Ertl; MegaMol - A Comprehensive Prototyping Framework for Visualizations; The European Physical Journal Special Topics, vol. 227, no. 14, pp. 1817-1829, 2019.
A. Baier, und D. Frank. Software, (2023)Related to: Baier, Alexandra, Boukhers, Zeyd, & Staab, Steffen (2021). Hybrid Physics and Deep Learning Model for Interpretable Vehicle State Prediction. ArXiv, abs/2103.06727. arXiv: abs/2103.06727.
A. Baier, D. Aspandi Latif, und S. Staab. Software, (2023)Related to: Alexandra Baier, Decky Aspandi and Steffen Staab, "ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks", Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI-23), 2023.
S. Vriend, S. Vidyapu, A. Rama, K. Chen, und D. Weiskopf. Software, (2023)Related to: Sandeep Vidyapu, Sita A. Vriend, Amer Rama, Kun-Ting Chen, Daniel, Weiskopf. 2023. Which Experimental Design is Better Suited for VQA Tasks? - Eye TrackingStudy on Cognitive Load, Performance, and Gaze Allocations.
L. Mehl, J. Schmalfuss, A. Jahedi, Y. Nalivayko, und A. Bruhn. Dataset, (2023)Related to: Lukas Mehl, Jenny Schmalfuss, Azin Jahedi, Yaroslava Nalivayko, Andrés Bruhn: Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo. Proc. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023. arXiv: 2303.01943.
Y. Wang. Software, (2023)Related to: Y. Wang, M. Bâce and A. Bulling, "Scanpath Prediction on Information Visualisations," in IEEE Transactions on Visualization and Computer Graphics. doi: 10.1109/TVCG.2023.3242293.
J. Görtler, T. Spinner, D. Weiskopf, und O. Deussen. Software, (2022)Related to: J. Görtler, T. Spinner, D. Streeb, D. Weiskopf and O. Deussen, Üncertainty-Aware Principal Component Analysis," in IEEE Transactions on Visualization and Computer Graphics, vol. 26, no. 1, pp. 822-831, Jan. 2020. doi: 10.1109/TVCG.2019.2934812.
T. Krake, D. Klötzl, B. Eberhardt, und D. Weiskopf. Software, (2022)Related to: Tim Krake, Daniel Klötzl, Bernhard Eberhardt and Daniel Weiskopf, "Constrained Dynamic Mode Decomposition", in IEEE Transactions on Visualization and Computer Graphics, 2022. doi: 10.1109/TVCG.2022.3209437.
I. Banerjee, und P. Walter. Dataset, (2022)Related to: Banerjee, I., Walter, P., Guthke, A., Mumford, K.G. & Nowak, W. (2022). The Method of Forced Probabilities: A Computation Trick for Bayesian Model Evidence. Computational Geosciences. Accepted for publication.
D. Hägele, T. Krake, und D. Weiskopf. Dataset, (2022)Related to: D. Hägele, T. Krake and D. Weiskopf, Üncertainty-Aware Multidimensional Scaling," in IEEE Transactions on Visualization and Computer Graphics, 2022. doi: 10.1109/TVCG.2022.3209420.
D. Garkov, C. Müller, M. Braun, D. Weiskopf, und F. Schreiber. Dataset, (2022)Related to: Garkov, D., Müller, C., Braun, M., Weiskopf, D., Schreiber, F., “Research Data Curation in Visualization : Position Paper”, in 2022 IEEE Workshop on Evaluation and Beyond - Methodological Approaches for Visualization (BELIV), IEEE, 2022. doi: 10.1109/BELIV57783.2022.00011.
N. Rodrigues, C. Schulz, S. Döring, D. Baumgartner, T. Krake, und D. Weiskopf. Software, (2022)Related to: Nils Rodrigues, Christoph Schulz, Sören Döring, Daniel Baumgartner, Tim Krake, and Daniel Weiskopf, "Relaxed Dot Plots: Faithful Visualization of Samples and Their Distribution," in IEEE Transactions on Visualization and Computer Graphics, vol. 29, no. 1, Jan. 2023, accepted.
A. Wortmeier, A. Calepso, C. Kropp, M. Sedlmair, und D. Weiskopf. Dataset, (2022)Related to: Wortmeier, A.-K., Calepso, A. S., Kropp, C., Sedlmair, M. & Weiskopf, D. (2023). Configuring augmented reality users: analysing YouTube commercials to understand industry expectations. Behaviour & Information Technology, 43(2), 371-386. doi: 10.1080/0144929X.2022.2163693.
L. Mehl, C. Beschle, A. Barth, und A. Bruhn. Dataset, (2022)Related to: L. Mehl, C. Beschle, A. Barth, A. Bruhn: An Anisotropic Selection Scheme for Variational Optical Flow Methods with Order-Adaptive Regularisation. Proc. International Conference on Scale Space and Variational Methods in Computer Vision (SSVM). Lecture Notes in Computer Science, Vol. 10302, 140-152, Springer, 2021. doi: 10.1007/978-3-030-75549-2_12.
M. Abdelaal, N. Schiele, K. Angerbauer, K. Kurzhals, M. Sedlmair, und D. Weiskopf. Software, (2022)Related to: M. Abdelaal, N. D. Schiele, K. Angerbauer, K. Kurzhals, M. Sedlmair and D. Weiskopf, "Comparative Evaluation of Bipartite, Node-Link, and Matrix-Based Network Representations," in IEEE Transactions on Visualization and Computer Graphics, 2022. doi: 10.1109/TVCG.2022.3209427.
M. Takamoto, T. Praditia, R. Leiteritz, D. MacKinlay, F. Alesiani, D. Pflüger, und M. Niepert. Dataset, (2022)Related to: Takamoto, M., Praditia, T., Leiteritz, R., MacKinlay, D., Alesiani, F., Pflüger, D. and Niepert, M.: PDEBench: An Extensive Benchmark for Scientific Machine Learning. submitted to the 36th Conference on Neural Information Processing Systems (NeurIPS 2022) Track on Datasets and Benchmarks. arXiv: 2210.07182.
B. Ceranski, D. Fritsch, G. Mammadov, M. Niklaus, T. Schweizer, S. Simon, J. Wagner, und K. Zhan. Dataset, (2022)Related to: FRITSCH, Dieter ; WAGNER, Jörg F ; CERANSKI, Beate ; SIMON, Sven ; NIKLAUS, Maria ; ZHAN, Kun ; MAMMADOV, Gasim: Making Historical Gyroscopes Alive—2D and 3D Preservations by Sensor Fusion and Open Data Access. In: Sensors, 21 (2021), Nr. 3, S. 957. doi: 10.3390/s21030957.
B. Ceranski, D. Fritsch, G. Mammadov, M. Niklaus, T. Schweizer, S. Simon, J. Wagner, und K. Zhan. Dataset, (2022)Related to: FRITSCH, Dieter ; WAGNER, Jörg F ; CERANSKI, Beate ; SIMON, Sven ; NIKLAUS, Maria ; ZHAN, Kun ; MAMMADOV, Gasim: Making Historical Gyroscopes Alive—2D and 3D Preservations by Sensor Fusion and Open Data Access. In: Sensors, 21 (2021), Nr. 3, S. 957. doi: 10.3390/s21030957.
B. Ceranski, D. Fritsch, G. Mammadov, M. Niklaus, T. Schweizer, S. Simon, J. Wagner, und K. Zhan. Dataset, (2022)Related to: FRITSCH, Dieter ; WAGNER, Jörg F ; CERANSKI, Beate ; SIMON, Sven ; NIKLAUS, Maria ; ZHAN, Kun ; MAMMADOV, Gasim: Making Historical Gyroscopes Alive—2D and 3D Preservations by Sensor Fusion and Open Data Access. In: Sensors, 21 (2021), Nr. 3, S. 957. doi: 10.3390/s21030957.
B. Ceranski, D. Fritsch, G. Mammadov, M. Niklaus, T. Schweizer, S. Simon, J. Wagner, und K. Zhan. Dataset, (2022)Related to: FRITSCH, Dieter ; WAGNER, Jörg F ; CERANSKI, Beate ; SIMON, Sven ; NIKLAUS, Maria ; ZHAN, Kun ; MAMMADOV, Gasim: Making Historical Gyroscopes Alive—2D and 3D Preservations by Sensor Fusion and Open Data Access. In: Sensors, 21 (2021), Nr. 3, S. 957. doi: 10.3390/s21030957.
B. Ceranski, D. Fritsch, G. Mammadov, M. Niklaus, T. Schweizer, S. Simon, J. Wagner, und K. Zhan. Dataset, (2022)Related to: FRITSCH, Dieter ; WAGNER, Jörg F ; CERANSKI, Beate ; SIMON, Sven ; NIKLAUS, Maria ; ZHAN, Kun ; MAMMADOV, Gasim: Making Historical Gyroscopes Alive—2D and 3D Preservations by Sensor Fusion and Open Data Access. In: Sensors, 21 (2021), Nr. 3, S. 957. doi: 10.3390/s21030957.
B. Ceranski, D. Fritsch, G. Mammadov, M. Niklaus, T. Schweizer, S. Simon, J. Wagner, und K. Zhan. Dataset, (2022)Related to: FRITSCH, Dieter ; WAGNER, Jörg F ; CERANSKI, Beate ; SIMON, Sven ; NIKLAUS, Maria ; ZHAN, Kun ; MAMMADOV, Gasim: Making Historical Gyroscopes Alive—2D and 3D Preservations by Sensor Fusion and Open Data Access. In: Sensors, 21 (2021), Nr. 3, S. 957. doi: 10.3390/s21030957.
B. Ceranski, D. Fritsch, G. Mammadov, M. Niklaus, T. Schweizer, S. Simon, J. Wagner, und K. Zhan. Dataset, (2022)Related to: FRITSCH, Dieter ; WAGNER, Jörg F ; CERANSKI, Beate ; SIMON, Sven ; NIKLAUS, Maria ; ZHAN, Kun ; MAMMADOV, Gasim: Making Historical Gyroscopes Alive—2D and 3D Preservations by Sensor Fusion and Open Data Access. In: Sensors, 21 (2021), Nr. 3, S. 957. doi: 10.3390/s21030957.
K. Angerbauer, N. Rodrigues, R. Cutura, S. Öney, N. Pathmanathan, C. Morariu, D. Weiskopf, und M. Sedlmair. Dataset, (2022)Related to: Katrin Angerbauer, Nils Rodrigues, Rene Cutura, Seyda Öney, Nelusa Pathmanathan, Cristina Morariu, Daniel Weiskopf, and Michael Sedlmair. 2022. Accessibility for Color Vision Deficiencies: Challenges and Findings of a Large Scale Study on Paper Figures. In CHI Conference on Human Factors in Computing Systems (CHI '22). Association for Computing Machinery, New York, NY, USA, Article 134, 1-23. doi: 10.1145/3491102.3502133.
Y. Wang, und A. Bulling. Software, (2022)Related to: Y. Wang, C. Jiao, M. Bâce and A. Bulling, "VisRecall: Quantifying Information Visualisation Recallability via Question Answering," in IEEE Transactions on Visualization and Computer Graphics, vol. 28, no. 12, pp. 4995-5005, 1 Dec. 2022. doi: 10.1109/TVCG.2022.3198163.
M. Takamoto, T. Praditia, R. Leiteritz, D. MacKinlay, F. Alesiani, D. Pflüger, und M. Niepert. Dataset, (2022)Related to: Takamoto, M., Praditia, T., Leiteritz, R., MacKinlay, D., Alesiani, F., Pflüger, D. and Niepert, M.: PDEBench: An Extensive Benchmark for Scientific Machine Learning. submitted to the 36th Conference on Neural Information Processing Systems (NeurIPS 2022) Track on Datasets and Benchmarks.
J. Yan, N. Rodrigues, L. Shao, T. Schreck, und D. Weiskopf. Software, (2022)Related to: Nils Rodrigues, Lin Shao, Jia Jun Yan, Tobias Schreck, and Daniel Weiskopf. 2022. Eye Gaze on Scatterplot: Concept and First Results of Recommendations for Exploration of SPLOMs Using Implicit Data Selection. In 2022 Symposium on Eye Tracking Research and Applications (ETRA '22). Association for Computing Machinery, New York, NY, USA, Article 59, 1-7. doi: 10.1145/3517031.3531165.
T. Tremel, J. Kögel, F. Jauernig, S. Meier, D. Thom, F. Becker, C. Müller, und S. Koch. Dataset, (2022)Related to: Tremel, Tina; Kögel, Jochen; Jauernig, Florian; Meier, Sebastian; Thom, Dennis; Becker, Franziska; Müller, Christoph; Koch, Steffen, 2022, "VITALflow: Visual Interactive Traffic Analysis with NetFlow", In: Proceedings of the Seventh IEEE/IFIP International Workshop on Analytics for Network and Service Management, 2022.
T. Munz, D. Väth, P. Kuznecov, N. Vu, und D. Weiskopf. Dataset, (2021)Related to: T. Munz, D. Väth, P. Kuznecov, N. T. Vu, and D. Weiskopf. "Visual-Interactive Neural Machine Translation". Graphics Interface. 2021.
T. Munz, D. Väth, P. Kuznecov, N. Vu, und D. Weiskopf. Software, (2021)Related to: T. Munz, D. Väth, P. Kuznecov, N. T. Vu, and D. Weiskopf. "Visual-Interactive Neural Machine Translation". Graphics Interface. 2021.
T. Munz, N. Schäfer, T. Blascheck, K. Kurzhals, E. Zhang, und D. Weiskopf. Software, (2020)Related to: T. Munz, N. Schäfer, T. Blascheck, K. Kurzhals, E. Zhang, and D. Weiskopf. "Comparative Visual Gaze Analysis for Virtual Board Games". Proceedings of the 13th International Symposium on Visual Information Communication and Interaction (VINCI 2020). 2020. DOI: 10.1145/3430036.3430038.
T. Munz, D. Väth, P. Kuznecov, N. Vu, und D. Weiskopf. Software, (2022)Related to: T. Munz, D. Väth, P. Kuznecov, N. T. Vu, and D. Weiskopf. "Visualization-based improvement of neural machine translation", Computers & Graphics, 2021. doi: 10.1016/j.cag.2021.12.003.
T. Munz, R. Garcia, und D. Weiskopf. Software, (2021)Related to: R. Garcia, T. Munz, and D. Weiskopf. "Visual Analytics Tool for the Interpretation of Hidden States in Recurrent Neural Networks". Visual Computing for Industry, Biomedicine, and Art (VCIBA). 2021. doi: 10.1186/s42492-021-00090-0.
A. Jaust, K. Weishaupt, B. Flemisch, und M. Schulte. Dataset, (2021)Related to: Jaust A., Weishaupt K., Mehl M., Flemisch B. (2020) Partitioned Coupling Schemes for Free-Flow and Porous-Media Applications with Sharp Interfaces. In: Klöfkorn R., Keilegavlen E., Radu F., Fuhrmann J. (eds) Finite Volumes for Complex Applications IX - Methods, Theoretical Aspects, Examples. FVCA 2020. Springer Proceedings in Mathematics & Statistics, vol 323. Springer, Cham. doi: 10.1007/978-3-030-43651-3_57.
A. Jaust, und P. Schmidt. Software, (2021)Related to: Schmidt, P., Jaust, A., Steeb, H., and Schulte, M.: "Simulation of flow in deformable fractures using a quasi-Newton based partitioned coupling approach". Computational Geosciences (2022). doi: 10.1007/s10596-021-10120-8.
G. Chourdakis, K. Davis, B. Rodenberg, M. Schulte, F. Simonis, B. Uekermann, G. Abrams, H. Bungartz, L. Cheun Yau, I. Desai und 10 andere Autor(en). Software, (2021)Related to: Chourdakis, G., Davis, K., Rodenberg, B., Schulte, M., Simonis, F., Uekermann, B., Abrams, G., Bungartz, H.-J., Cheung Yau, L., Desai, I., Eder, K., Hertrich, R., Lindner, F., Rusch, A., Sashko, D., Schneider, D., Totounferoush, A., Volland, D., Vollmer, P. and Ziya Koseomur, O., 2021. preCICE v2: A Sustainable and User-Friendly Coupling Library. arXiv preprint. arXiv: 2109.14470.
M. Gärtner, V. Kushnarenko, und F. Fritze. Software, (2019)Related to: M. Gärtner, U. Hahn, and S. Hermann, “Preserving Workflow Reproducibility: The RePlay-DH Client as a Tool for Process Documentation,” in Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018), Miyazaki, Japan, 7-12.
M. Franke, M. Knabben, J. Lang, S. Koch, und T. Blascheck. Software, (2021)Related to: Franke, M.; Knabben, M.; Lang, J.; Koch, S. and Blascheck, T. (2022). A Comparative Study of Visualizations for Multiple Time Series. In: Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: IVAPP, ISBN 978-989-758-555-5, ISSN 2184-4321, pages 103-112. doi: 10.5220/0010761700003124.
D. Hägele, M. Abdelaal, O. Oguz, M. Toussaint, und D. Weiskopf. Software, (2020)Related to: Hägele, David, et al. "Visualization of Nonlinear Programming for Robot Motion Planning." Proceedings of the 13th International Symposium on Visual Information Communication and Interaction, Association for Computing Machinery, 2020. doi: 10.1145/3430036.3430050.
V. Bruder, C. Müller, S. Frey, und T. Ertl. Software, (2020)Related to: Bruder, V., Müller, C., Frey, S., Ertl, T. (2019). On Evaluating Runtime Performance of Interactive Visualizations. IEEE Transactions on Visualization and Computer Graphics, 10.1109/TVCG.2019.2898435. Advance online publication. doi: 10.1109/TVCG.2019.2898435.
K. Zhan. Dataset, (2021)Related to: Zhan, K., Fritsch, D., and Wagner, J. F.: Photogrammetry and computed tomography point cloud registration using virtual control points. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLIII-B2-2021, 265-270, 2021. doi: 10.5194/isprs-archives-XLIII-B2-2021-265-2021.
B. Ceranski, D. Fritsch, G. Mammadov, M. Niklaus, T. Schweizer, S. Simon, J. Wagner, und K. Zhan. Dataset, (2021)Related to: FRITSCH, Dieter ; WAGNER, Jörg F ; CERANSKI, Beate ; SIMON, Sven ; NIKLAUS, Maria ; ZHAN, Kun ; MAMMADOV, Gasim: Making Historical Gyroscopes Alive—2D and 3D Preservations by Sensor Fusion and Open Data Access. In: Sensors, 21 (2021), Nr. 3, S. 957. doi: 10.3390/s21030957.
B. Ceranski, D. Fritsch, G. Mammadov, M. Niklaus, T. Schweizer, S. Simon, J. Wagner, und K. Zhan. Dataset, (2021)Related to: FRITSCH, Dieter ; WAGNER, Jörg F ; CERANSKI, Beate ; SIMON, Sven ; NIKLAUS, Maria ; ZHAN, Kun ; MAMMADOV, Gasim: Making Historical Gyroscopes Alive—2D and 3D Preservations by Sensor Fusion and Open Data Access. In: Sensors, 21 (2021), Nr. 3, S. 957. doi: 10.3390/s21030957.