Angelos Chatzimparmpas

Orcid: 0000-0002-9079-2376

Affiliations:
  • Utrecht University, The Netherlands


According to our database1, Angelos Chatzimparmpas authored at least 25 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

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

How to Distinguish AI-Generated Images from Authentic Photographs.
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

Evaluating the Utility of Conformal Prediction Sets for AI-Advised Image Labeling.
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

Pre-registration for Predictive Modeling.
CoRR, 2023

DeforestVis: Behavior Analysis of Machine Learning Models with Surrogate Decision Stumps.
CoRR, 2023

MetaStackVis: Visually-Assisted Performance Evaluation of Metamodels.
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

Visual analysis of blow molding machine multivariate time series data.
J. Vis., 2022

Visual Text Analytics (Dagstuhl Seminar 22191).
Dagstuhl Reports, 2022

Evaluating StackGenVis with a Comparative User Study.
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

Visual Analysis of Industrial Multivariate Time Series.
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
t-viSNE: Interactive Assessment and Interpretation of t-SNE Projections.
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

Analyzing the Evolution of Javascript Applications.
Proceedings of the 14th International Conference on Evaluation of Novel Approaches to Software Engineering, 2019

2018
Middleware IoT protocols performance evaluation for carrying out clustered data.
Proceedings of the 2018 South-Eastern European Design Automation, 2018


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