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ORCIDStef van den Elzen
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- affiliation: Eindhoven University of Technology, The Netherlands
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2020 – today
- 2024
[j11]Linhao Meng
, Stef van den Elzen, Nicola Pezzotti, Anna Vilanova:
Class-Constrained t-SNE: Combining Data Features and Class Probabilities. IEEE Trans. Vis. Comput. Graph. 30(1): 164-174 (2024)- [j10]Vidya Prasad, Ruud J. G. van Sloun, Stef van den Elzen, Anna Vilanova, Nicola Pezzotti:
The Transform-and-Perform Framework: Explainable Deep Learning Beyond Classification. IEEE Trans. Vis. Comput. Graph. 30(2): 1502-1515 (2024) - [i2]Binyam Gebre, Karoliina Ranta, Stef van den Elzen, Ernst Kuiper, Thijs Baars, Tom Heskes:
Pfeed: Generating near real-time personalized feeds using precomputed embedding similarities. CoRR abs/2402.16073 (2024) - 2023
- [j9]Sanne van der Linden, Evie de Fouw, Stef van den Elzen, Anna Vilanova:
A survey of visualization techniques for comparing event sequences. Comput. Graph. 115: 522-542 (2023) - [j8]Stef van den Elzen, Gennady L. Andrienko, Natalia V. Andrienko, Brian D. Fisher, Rafael Messias Martins, Jaakko Peltonen, Alexandru C. Telea, Michel Verleysen:
The Flow of Trust: A Visualization Framework to Externalize, Explore, and Explain Trust in ML Applications. IEEE Computer Graphics and Applications 43(2): 78-88 (2023) - [j7]Sanne van der Linden, Bernice M. Wulterkens, Merel M. van Gilst, Sebastiaan Overeem, Carola van Pul, Anna Vilanova, Stef van den Elzen:
FlexEvent: going beyond Case-Centric Exploration and Analysis of Multivariate Event Sequences. Comput. Graph. Forum 42(3): 161-172 (2023) - [i1]Linhao Meng, Stef van den Elzen, Nicola Pezzotti, Anna Vilanova:
Class-constrained t-SNE: Combining Data Features and Class Probabilities. CoRR abs/2308.13837 (2023) - 2022
- [j6]Linhao Meng, Stef van den Elzen, Anna Vilanova:
ModelWise: Interactive Model Comparison for Model Diagnosis, Improvement and Selection. Comput. Graph. Forum 41(3): 97-108 (2022)
2010 – 2019
- 2019
- [j5]M. A. M. M. van Dortmont, Stef van den Elzen, Jarke J. van Wijk:
ChronoCorrelator: Enriching Events with Time Series. Comput. Graph. Forum 38(3): 387-399 (2019) - 2016
- [j4]Stef van den Elzen, Danny Holten, Jorik Blaas, Jarke J. van Wijk:
Reducing Snapshots to Points: A Visual Analytics Approach to Dynamic Network Exploration. IEEE Trans. Vis. Comput. Graph. 22(1): 1-10 (2016) - 2014
- [j3]Stef van den Elzen, Danny Holten, Jorik Blaas, Jarke J. van Wijk:
Dynamic Network Visualization withExtended Massive Sequence Views. IEEE Trans. Vis. Comput. Graph. 20(8): 1087-1099 (2014) - [j2]Stef van den Elzen, Jarke J. van Wijk:
Multivariate Network Exploration and Presentation: From Detail to Overview via Selections and Aggregations. IEEE Trans. Vis. Comput. Graph. 20(12): 2310-2319 (2014) - 2013
- [j1]Stef van den Elzen, Jarke J. van Wijk:
Small Multiples, Large Singles: A New Approach for Visual Data Exploration. Comput. Graph. Forum 32(3): 191-200 (2013) - [c3]Stef van den Elzen, Danny Holten, Jorik Blaas, Jarke J. van Wijk:
Reordering Massive Sequence Views: Enabling temporal and structural analysis of dynamic networks. PacificVis 2013: 33-40 - 2011
- [c2]Stef van den Elzen, Jarke J. van Wijk:
BaobabView: Interactive construction and analysis of decision trees. IEEE VAST 2011: 151-160 - 2010
- [c1]Erik Kuijpers, Stef van den Elzen, Henri Hambartsumyan:
Visualizing group dynamics signals. MB 2010: 7:1-7:4
Coauthor Index
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