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Angelos Chatzimparmpas
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- affiliation: Utrecht University, The Netherlands
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2020 – today
- 2024
- [j12]Angelos Chatzimparmpas
, Kostiantyn Kucher
Visualization for Trust in Machine Learning Revisited: The State of the Field in 2023. IEEE Computer Graphics and Applications 44(3): 99-113 (2024) - [j11]Angelos Chatzimparmpas
DeforestVis: Behaviour Analysis of Machine Learning Models with Surrogate Decision Stumps. Comput. Graph. Forum 43(6) (2024) - [c7]Dongping Zhang
Evaluating the Utility of Conformal Prediction Sets for AI-Advised Image Labeling. CHI 2024: 302:1-302:19 - [i16]Dongping Zhang, Angelos Chatzimparmpas, Negar Kamali, Jessica Hullman:
Evaluating the Utility of Conformal Prediction Sets for AI-Advised Image Labeling. CoRR abs/2401.08876 (2024) - [i15]Parisa Salmanian, Angelos Chatzimparmpas, Ali Can Karaca, Rafael Messias Martins:
DimVis: Interpreting Visual Clusters in Dimensionality Reduction With Explainable Boosting Machine. CoRR abs/2402.06885 (2024) - [i14]Angelos Chatzimparmpas, Kostiantyn Kucher, Andreas Kerren:
Visualization for Trust in Machine Learning Revisited: The State of the Field in 2023. CoRR abs/2403.12005 (2024) - [i13]Negar Kamali, Karyn Nakamura, Angelos Chatzimparmpas, Jessica Hullman, Matthew Groh:
How to Distinguish AI-Generated Images from Authentic Photographs. CoRR abs/2406.08651 (2024) - [i12]Angelos Chatzimparmpas, Evanthia Dimara:
Aiding Humans in Financial Fraud Decision Making: Toward an XAI-Visualization Framework. CoRR abs/2408.14552 (2024) - 2023
- [j10]Angelos Chatzimparmpas
HardVis: Visual Analytics to Handle Instance Hardness Using Undersampling and Oversampling Techniques. Comput. Graph. Forum 42(1): 135-154 (2023) - [j9]Angelos Chatzimparmpas
VisRuler: Visual analytics for extracting decision rules from bagged and boosted decision trees. Inf. Vis. 22(2): 115-139 (2023) - [c6]Ilya Ploshchik, Angelos Chatzimparmpas, Andreas Kerren:
MetaStackVis: Visually-Assisted Performance Evaluation of Metamodels. PacificVis 2023: 207-211 - [i11]Angelos Chatzimparmpas, Rafael Messias Martins, Alexandru C. Telea, Andreas Kerren:
DeforestVis: Behavior Analysis of Machine Learning Models with Surrogate Decision Stumps. CoRR abs/2304.00133 (2023) - [i10]Jake M. Hofman, Angelos Chatzimparmpas, Amit Sharma, Duncan J. Watts, Jessica Hullman:
Pre-registration for Predictive Modeling. CoRR abs/2311.18807 (2023) - 2022
- [j8]Maath Musleh
Visual analysis of blow molding machine multivariate time series data. J. Vis. 25(6): 1329-1342 (2022) - [j7]Angelos Chatzimparmpas
FeatureEnVi: Visual Analytics for Feature Engineering Using Stepwise Selection and Semi-Automatic Extraction Approaches. IEEE Trans. Vis. Comput. Graph. 28(4): 1773-1791 (2022) - [c5]Angelos Chatzimparmpas, Vilhelm Park, Andreas Kerren:
Evaluating StackGenVis with a Comparative User Study. PacificVis 2022: 161-165 - [i9]Angelos Chatzimparmpas, Fernando V. Paulovich
HardVis: Visual Analytics to Handle Instance Hardness Using Undersampling and Oversampling Techniques. CoRR abs/2203.15753 (2022) - [i8]Ilya Ploshchik, Angelos Chatzimparmpas, Andreas Kerren:
MetaStackVis: Visually-Assisted Performance Evaluation of Metamodels. CoRR abs/2212.03539 (2022) - [i7]Angelos Chatzimparmpas, Rafael Messias Martins, Ilir Jusufi, Kostiantyn Kucher, Fabrice Rossi, Andreas Kerren:
The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations. CoRR abs/2212.11737 (2022) - [i6]Christopher Collins, Antske Fokkens, Andreas Kerren, Chris Weaver, Angelos Chatzimparmpas:
Visual Text Analytics (Dagstuhl Seminar 22191). Dagstuhl Reports 12(5): 37-91 (2022) - 2021
- [j6]Angelos Chatzimparmpas
VisEvol: Visual Analytics to Support Hyperparameter Search through Evolutionary Optimization. Comput. Graph. Forum 40(3): 201-214 (2021) - [j5]Angelos Chatzimparmpas
StackGenVis: Alignment of Data, Algorithms, and Models for Stacking Ensemble Learning Using Performance Metrics. IEEE Trans. Vis. Comput. Graph. 27(2): 1547-1557 (2021) - [c4]Angelos Chatzimparmpas, Rafael Messias Martins, Kostiantyn Kucher, Andreas Kerren:
Empirical Study: Visual Analytics for Comparing Stacking to Blending Ensemble Learning. CSCS 2021: 1-8 - [c3]Maath Musleh, Angelos Chatzimparmpas, Ilir Jusufi:
Visual Analysis of Industrial Multivariate Time Series. VINCI 2021: 3:1-3:5 - [i5]Angelos Chatzimparmpas
FeatureEnVi: Visual Analytics for Feature Engineering Using Stepwise Selection and Semi-Automatic Extraction Approaches. CoRR abs/2103.14539 (2021) - [i4]Angelos Chatzimparmpas, Rafael Messias Martins, Andreas Kerren:
VisRuler: Visual Analytics for Extracting Decision Rules from Bagged and Boosted Decision Trees. CoRR abs/2112.00334 (2021) - 2020
- [j4]Angelos Chatzimparmpas
The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations. Comput. Graph. Forum 39(3): 713-756 (2020) - [j3]Angelos Chatzimparmpas
A survey of surveys on the use of visualization for interpreting machine learning models. Inf. Vis. 19(3): 207-233 (2020) - [j2]Angelos Chatzimparmpas
t-viSNE: Interactive Assessment and Interpretation of t-SNE Projections. IEEE Trans. Vis. Comput. Graph. 26(8): 2696-2714 (2020) - [i3]Angelos Chatzimparmpas, Rafael Messias Martins, Andreas Kerren:
t-viSNE: Interactive Assessment and Interpretation of t-SNE Projections. CoRR abs/2002.06910 (2020) - [i2]Angelos Chatzimparmpas, Rafael Messias Martins, Kostiantyn Kucher, Andreas Kerren:
StackGenVis: Alignment of Data, Algorithms, and Models for Stacking Ensemble Learning Using Performance Metrics. CoRR abs/2005.01575 (2020) - [i1]Angelos Chatzimparmpas
VisEvol: Visual Analytics to Support Hyperparameter Search through Evolutionary Optimization. CoRR abs/2012.01205 (2020)
2010 – 2019
- 2019
- [j1]Angelos Chatzimparmpas
Maintenance process modeling and dynamic estimations based on Bayesian networks and association rules. J. Softw. Evol. Process. 31(9) (2019) - [c2]Angelos Chatzimparmpas, Stamatia Bibi, Ioannis Zozas
Analyzing the Evolution of Javascript Applications. ENASE 2019: 359-366 - 2018
- [c1]George Kokkonis
Middleware IoT protocols performance evaluation for carrying out clustered data. SEEDA-CECNSM 2018: 1-5
Coauthor Index
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