Middleware IoT protocols performance evaluation for carrying out clustered data. - George Kokkonis; Angelos Chatzimparmpas; Sotirios Kontogiannis (SEEDA-CECNSM, 2018)

Analyzing the Evolution of Javascript Applications. - Angelos Chatzimparmpas; Stamatia Bibi; Ioannis Zozas; Andreas Kerren (ENASE, 2019)

Maintenance process modeling and dynamic estimations based on Bayesian networks and association rules. - Angelos Chatzimparmpas; Stamatia Bibi (J. Softw. Evol. Process., 2019)

The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations. - Angelos Chatzimparmpas; Rafael Messias Martins; Ilir Jusufi; Kostiantyn Kucher; Fabrice Rossi; Andreas Kerren (Comput. Graph. Forum, 2020)

A survey of surveys on the use of visualization for interpreting machine learning models. - Angelos Chatzimparmpas; Rafael Messias Martins; Ilir Jusufi; Andreas Kerren (Inf. Vis., 2020)

t-viSNE: Interactive Assessment and Interpretation of t-SNE Projections. - Angelos Chatzimparmpas; Rafael Messias Martins; Andreas Kerren (IEEE Trans. Vis. Comput. Graph., 2020)

Empirical Study: Visual Analytics for Comparing Stacking to Blending Ensemble Learning. - Angelos Chatzimparmpas; Rafael Messias Martins; Kostiantyn Kucher; Andreas Kerren (CSCS, 2021)

Visual Analysis of Industrial Multivariate Time Series. - Maath Musleh; Angelos Chatzimparmpas; Ilir Jusufi (VINCI, 2021)

VisEvol: Visual Analytics to Support Hyperparameter Search through Evolutionary Optimization. - Angelos Chatzimparmpas; Rafael Messias Martins; Kostiantyn Kucher; Andreas Kerren (Comput. Graph. Forum, 2021)

StackGenVis: Alignment of Data, Algorithms, and Models for Stacking Ensemble Learning Using Performance Metrics. - Angelos Chatzimparmpas; Rafael Messias Martins; Kostiantyn Kucher; Andreas Kerren (IEEE Trans. Vis. Comput. Graph., 2021)

Evaluating StackGenVis with a Comparative User Study. - Angelos Chatzimparmpas; Vilhelm Park; Andreas Kerren (PacificVis, 2022)

Visual Text Analytics (Dagstuhl Seminar 22191). - Christopher Collins; Antske Fokkens; Andreas Kerren; Chris Weaver 001; Angelos Chatzimparmpas (Dagstuhl Reports, 2022)

Visual analysis of blow molding machine multivariate time series data. - Maath Musleh; Angelos Chatzimparmpas; Ilir Jusufi (J. Vis., 2022)

FeatureEnVi: Visual Analytics for Feature Engineering Using Stepwise Selection and Semi-Automatic Extraction Approaches. - Angelos Chatzimparmpas; Rafael Messias Martins; Kostiantyn Kucher; Andreas Kerren (IEEE Trans. Vis. Comput. Graph., 2022)

MetaStackVis: Visually-Assisted Performance Evaluation of Metamodels. - Ilya Ploshchik; Angelos Chatzimparmpas; Andreas Kerren (PacificVis, 2023)

DeforestVis: Behavior Analysis of Machine Learning Models with Surrogate Decision Stumps. - Angelos Chatzimparmpas; Rafael Messias Martins; Alexandru C. Telea; Andreas Kerren (CoRR, 2023)

Pre-registration for Predictive Modeling. - Jake M. Hofman; Angelos Chatzimparmpas; Amit Sharma 007; Duncan J. Watts; Jessica Hullman (CoRR, 2023)

HardVis: Visual Analytics to Handle Instance Hardness Using Undersampling and Oversampling Techniques. - Angelos Chatzimparmpas; Fernando Vieira Paulovich; Andreas Kerren (Comput. Graph. Forum, 2023)

VisRuler: Visual analytics for extracting decision rules from bagged and boosted decision trees. - Angelos Chatzimparmpas; Rafael Messias Martins; Andreas Kerren (Inf. Vis., 2023)

Evaluating the Utility of Conformal Prediction Sets for AI-Advised Image Labeling. - Dongping Zhang; Angelos Chatzimparmpas; Negar Kamali; Jessica Hullman (CHI, 2024)

DimVis: Interpreting Visual Clusters in Dimensionality Reduction With Explainable Boosting Machine. - Parisa Salmanian; Angelos Chatzimparmpas; Ali Can Karaca; Rafael Messias Martins (MLVis@EuroVis, 2024)

Visualization for Trust in Machine Learning Revisited: The State of the Field in 2023. - Angelos Chatzimparmpas; Kostiantyn Kucher; Andreas Kerren (IEEE Computer Graphics and Applications, 2024)

How to Distinguish AI-Generated Images from Authentic Photographs. - Negar Kamali; Karyn Nakamura; Angelos Chatzimparmpas; Jessica Hullman; Matthew Groh (CoRR, 2024)

Aiding Humans in Financial Fraud Decision Making: Toward an XAI-Visualization Framework. - Angelos Chatzimparmpas; Evanthia Dimara (CoRR, 2024)

DeforestVis: Behaviour Analysis of Machine Learning Models with Surrogate Decision Stumps. - Angelos Chatzimparmpas; Rafael Messias Martins; Alexandru C. Telea; Andreas Kerren (Comput. Graph. Forum, 2024)

Characterizing Photorealism and Artifacts in Diffusion Model-Generated Images. - Negar Kamali; Karyn Nakamura; Aakriti Kumar; Angelos Chatzimparmpas; Jessica Hullman; Matthew Groh (CHI, 2025)

Seeing Eye to AI? Applying Deep-Feature-Based Similarity Metrics to Information Visualization. - Sheng Long; Angelos Chatzimparmpas; Emma Alexander; Matthew Kay 001; Jessica Hullman (CHI, 2025)

Visual Analytics for Explainable and Trustworthy Artificial Intelligence. - Angelos Chatzimparmpas (IEEE Computer Graphics and Applications, 2025)

Decoupling Density Dynamics: A Neural Operator Framework for Adaptive Multi-Fluid Interactions. - Yalan Zhang; Yuhang Xu; Xiaokun Wang 001; Angelos Chatzimparmpas; Xiaojuan Ban (Comput. Animat. Virtual Worlds, 2025)