Angelos Chatzimparmpas
Orcid: 0000-0002-9079-2376Affiliations:
- Utrecht University, The Netherlands
According to our database1,
Angelos Chatzimparmpas
authored at least 25 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
DeforestVis: Behaviour Analysis of Machine Learning Models with Surrogate Decision Stumps.
Comput. Graph. Forum, September, 2024
Aiding Humans in Financial Fraud Decision Making: Toward an XAI-Visualization Framework.
CoRR, 2024
DimVis: Interpreting Visual Clusters in Dimensionality Reduction With Explainable Boosting Machine.
CoRR, 2024
Visualization for Trust in Machine Learning Revisited: The State of the Field in 2023.
IEEE Computer Graphics and Applications, 2024
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024
2023
VisRuler: Visual analytics for extracting decision rules from bagged and boosted decision trees.
Inf. Vis., April, 2023
HardVis: Visual Analytics to Handle Instance Hardness Using Undersampling and Oversampling Techniques.
Comput. Graph. Forum, February, 2023
DeforestVis: Behavior Analysis of Machine Learning Models with Surrogate Decision Stumps.
CoRR, 2023
Proceedings of the 16th IEEE Pacific Visualization Symposium, 2023
2022
FeatureEnVi: Visual Analytics for Feature Engineering Using Stepwise Selection and Semi-Automatic Extraction Approaches.
IEEE Trans. Vis. Comput. Graph., 2022
Proceedings of the 15th IEEE Pacific Visualization Symposium, 2022
2021
StackGenVis: Alignment of Data, Algorithms, and Models for Stacking Ensemble Learning Using Performance Metrics.
IEEE Trans. Vis. Comput. Graph., 2021
VisEvol: Visual Analytics to Support Hyperparameter Search through Evolutionary Optimization.
Comput. Graph. Forum, 2021
Proceedings of the VINCI 2021: The 14th International Symposium on Visual Information Communication and Interaction, Potsdam, Germany, September 6, 2021
Empirical Study: Visual Analytics for Comparing Stacking to Blending Ensemble Learning.
Proceedings of the 23rd International Conference on Control Systems and Computer Science, 2021
2020
IEEE Trans. Vis. Comput. Graph., 2020
A survey of surveys on the use of visualization for interpreting machine learning models.
Inf. Vis., 2020
The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations.
Comput. Graph. Forum, 2020
2019
Maintenance process modeling and dynamic estimations based on Bayesian networks and association rules.
J. Softw. Evol. Process., 2019
Proceedings of the 14th International Conference on Evaluation of Novel Approaches to Software Engineering, 2019
2018
Proceedings of the 2018 South-Eastern European Design Automation, 2018