| Local prediction models for spatiotemporal volume visualization G Tkachev, S Frey, T Ertl IEEE Transactions on Visualization and Computer Graphics 27 (7), 3091-3108, 2019 | 22 | 2019 |
| Hybrid image processing approach for autonomous crack area detection and tracking using local digital image correlation results applied to single-fiber interfacial debonding I Tabiai, G Tkachev, P Diehl, S Frey, T Ertl, D Therriault, M Lévesque Engineering Fracture Mechanics 216, 106485, 2019 | 21 | 2019 |
| S4: Self-supervised learning of spatiotemporal similarity G Tkachev, S Frey, T Ertl IEEE Transactions on Visualization and Computer Graphics 28 (12), 4713-4727, 2021 | 10 | 2021 |
| Visual analysis of droplet dynamics in large-scale multiphase spray simulations M Heinemann, S Frey, G Tkachev, A Straub, F Sadlo, T Ertl Journal of Visualization 24 (5), 943-961, 2021 | 7 | 2021 |
| Visualizing Sets and Changes in Membership Using Layered Set Intersection Graphs S Agarwal, G Tkachev, M Wermelinger, F Beck VMV: Vision, Modeling, and Visualization, 69-78, 2020 | 4 | 2020 |
| Metaphorical Visualization: Mapping data to familiar concepts G Tkachev, R Cutura, M Sedlmair, S Frey, T Ertl CHI Conference on Human Factors in Computing Systems Extended Abstracts, 1-10, 2022 | 2 | 2022 |
| Evaluation and selection of autoencoders for expressive dimensionality reduction of spatial ensembles H Gadirov, G Tkachev, T Ertl, S Frey International Symposium on Visual Computing, 222-234, 2021 | 2 | 2021 |
| Prediction of Distributed Volume Visualization Performance to Support Render Hardware Acquisition. G Tkachev, S Frey, C Müller, V Bruder, T Ertl EGPGV@ EuroVis, 11-20, 2017 | 2 | 2017 |
| Prediction and similarity models for visual analysis of spatiotemporal data G Tkachev | | 2022 |
| Investigation and prediction of distributed volume rendering performance G Tkachev | | 2017 |
| Spatiotemporal Ensemble Data Using Machine Learning S Scheller, G Tkachev | | |
