| ExplainExplore: Visual Exploration of Machine Learning Explanations D Collaris, JJ van Wijk 2020 IEEE Pacific Visualization Symposium (PacificVis), 26-35, 2020 | 35 | 2020 |
| Instance-Level Explanations for Fraud Detection: A Case Study D Collaris, LM Vink, JJ van Wijk ICML Workshop on Human Interpretability in Machine Learning, 28-33, 2018 | 31 | 2018 |
| StrategyAtlas: Strategy Analysis for Machine Learning Interpretability D Collaris, J Van Wijk IEEE Transactions on Visualization and Computer Graphics, 2022 | 7 | 2022 |
| Comparative evaluation of contribution-value plots for machine learning understanding D Collaris, JJ van Wijk Journal of Visualization 25 (1), 47–57, 2021 | 2 | 2021 |
| Machine learning interpretability through contribution-value plots D Collaris, JJ van Wijk Proceedings of the 13th International Symposium on Visual Information …, 2020 | 2 | 2020 |
| LEMON: Alternative Sampling for More Faithful Explanation Through Local Surrogate Models D Collaris, P Gajane, J Jorritsma, JJ van Wijk, M Pechenizkiy Advances in Intelligent Data Analysis XXI: 21st International Symposium on …, 2023 | | 2023 |
| Characterizing Data Scientists’ Mental Models of Local Feature Importance D Collaris, HJP Weerts, D Miedema, JJ van Wijk, M Pechenizkiy Nordic Human-Computer Interaction Conference, 1-12, 2022 | | 2022 |
| Interactive Visualization for Interpretable Machine Learning D Collaris PhD Thesis. Eindhoven University of Technology. https://pure.tue.nl/ws …, 2022 | | 2022 |
| Instance-level Decision Visualization of Random Forest Models D Collaris MSc thesis. Eindhoven University of Technology. https://pure.tue.nl/ws …, 2018 | | 2018 |
Jarke J. van WijkProfessor in Visualization, Eindhoven University of TechnologyVerified email at win.tue.nl
