Angelos Chatzimparmpas

47 papers A* 3B 3C 1Journal 36Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Bridging the gap between Performance and Interpretability: An Explainable Disentangled Multimodal Framework for Cancer Survival Prediction. CoRR Aniek Eijpe, Soufyan Lakbir, Melis Erdal Cesur, Sara Pires de Oliveira, Angelos Chatzimparmpas, Sanne Abeln, Wilson Silva
2026	J	`jnl`	LangLasso: Interactive Cluster Descriptions through LLM Explanation. CoRR Raphael Buchmüller, Dennis Collaris, Linhao Meng, Angelos Chatzimparmpas
2026	J	`jnl`	MAPLE: Self-supervised Learning-Enhanced Nonlinear Dimensionality Reduction for Visual Analysis. CoRR Zeyang Huang, Takanori Fujiwara, Angelos Chatzimparmpas, Wandrille Duchemin, Andreas Kerren
2025	A*	`conf`	Characterizing Photorealism and Artifacts in Diffusion Model-Generated Images. CHI Negar Kamali, Karyn Nakamura, Aakriti Kumar, Angelos Chatzimparmpas, Jessica Hullman, Matthew Groh
2025	J	`jnl`	Characterizing Photorealism and Artifacts in Diffusion Model-Generated Images. CoRR Negar Kamali, Karyn Nakamura, Aakriti Kumar, Angelos Chatzimparmpas, Jessica Hullman, Matthew Groh
2025	J	`jnl`	Decoupling Density Dynamics: A Neural Operator Framework for Adaptive Multi-Fluid Interactions. Comput. Animat. Virtual Worlds Yalan Zhang, Yuhang Xu, Xiaokun Wang, Angelos Chatzimparmpas, Xiaojuan Ban
2025	A*	`conf`	Seeing Eye to AI? Applying Deep-Feature-Based Similarity Metrics to Information Visualization. CHI Sheng Long, Angelos Chatzimparmpas, Emma Alexander, Matthew Kay, Jessica Hullman
2025	J	`jnl`	Seeing Eye to AI? Applying Deep-Feature-Based Similarity Metrics to Information Visualization. CoRR Sheng Long, Angelos Chatzimparmpas, Emma Alexander, Matthew Kay, Jessica Hullman
2025	J	`jnl`	Visual Analytics for Explainable and Trustworthy Artificial Intelligence. IEEE Computer Graphics and Applications Angelos Chatzimparmpas
2025	J	`jnl`	Visual Analytics for Explainable and Trustworthy Artificial Intelligence. CoRR Angelos Chatzimparmpas
2024	J	`jnl`	Aiding Humans in Financial Fraud Decision Making: Toward an XAI-Visualization Framework. CoRR Angelos Chatzimparmpas, Evanthia Dimara
2024	J	`jnl`	DeforestVis: Behaviour Analysis of Machine Learning Models with Surrogate Decision Stumps. Comput. Graph. Forum Angelos Chatzimparmpas, Rafael Messias Martins, Alexandru C. Telea, Andreas Kerren
2024	—	`conf`	DimVis: Interpreting Visual Clusters in Dimensionality Reduction With Explainable Boosting Machine. MLVis@EuroVis Parisa Salmanian, Angelos Chatzimparmpas, Ali Can Karaca, Rafael Messias Martins
2024	J	`jnl`	DimVis: Interpreting Visual Clusters in Dimensionality Reduction With Explainable Boosting Machine. CoRR Parisa Salmanian, Angelos Chatzimparmpas, Ali Can Karaca, Rafael Messias Martins
2024	A*	`conf`	Evaluating the Utility of Conformal Prediction Sets for AI-Advised Image Labeling. CHI Dongping Zhang, Angelos Chatzimparmpas, Negar Kamali, Jessica Hullman
2024	J	`jnl`	Evaluating the Utility of Conformal Prediction Sets for AI-Advised Image Labeling. CoRR Dongping Zhang, Angelos Chatzimparmpas, Negar Kamali, Jessica Hullman
2024	J	`jnl`	How to Distinguish AI-Generated Images from Authentic Photographs. CoRR Negar Kamali, Karyn Nakamura, Angelos Chatzimparmpas, Jessica Hullman, Matthew Groh
2024	J	`jnl`	Visualization for Trust in Machine Learning Revisited: The State of the Field in 2023. IEEE Computer Graphics and Applications Angelos Chatzimparmpas, Kostiantyn Kucher, Andreas Kerren
2024	J	`jnl`	Visualization for Trust in Machine Learning Revisited: The State of the Field in 2023. CoRR Angelos Chatzimparmpas, Kostiantyn Kucher, Andreas Kerren
2023	J	`jnl`	DeforestVis: Behavior Analysis of Machine Learning Models with Surrogate Decision Stumps. CoRR Angelos Chatzimparmpas, Rafael Messias Martins, Alexandru C. Telea, Andreas Kerren
2023	J	`jnl`	HardVis: Visual Analytics to Handle Instance Hardness Using Undersampling and Oversampling Techniques. Comput. Graph. Forum Angelos Chatzimparmpas, Fernando Vieira Paulovich, Andreas Kerren
2023	B	`conf`	MetaStackVis: Visually-Assisted Performance Evaluation of Metamodels. PacificVis Ilya Ploshchik, Angelos Chatzimparmpas, Andreas Kerren
2023	J	`jnl`	Pre-registration for Predictive Modeling. CoRR Jake M. Hofman, Angelos Chatzimparmpas, Amit Sharma, Duncan J. Watts, Jessica Hullman
2023	J	`jnl`	VisRuler: Visual analytics for extracting decision rules from bagged and boosted decision trees. Inf. Vis. Angelos Chatzimparmpas, Rafael Messias Martins, Andreas Kerren
2023	—	`—`	Visual Analytics for Explainable and Trustworthy Machine Learning. Angelos Chatzimparmpas
2022	B	`conf`	Evaluating StackGenVis with a Comparative User Study. PacificVis Angelos Chatzimparmpas, Vilhelm Park, Andreas Kerren
2022	J	`jnl`	FeatureEnVi: Visual Analytics for Feature Engineering Using Stepwise Selection and Semi-Automatic Extraction Approaches. IEEE Trans. Vis. Comput. Graph. Angelos Chatzimparmpas, Rafael Messias Martins, Kostiantyn Kucher, Andreas Kerren
2022	J	`jnl`	HardVis: Visual Analytics to Handle Instance Hardness Using Undersampling and Oversampling Techniques. CoRR Angelos Chatzimparmpas, Fernando V. Paulovich, Andreas Kerren
2022	J	`jnl`	MetaStackVis: Visually-Assisted Performance Evaluation of Metamodels. CoRR Ilya Ploshchik, Angelos Chatzimparmpas, Andreas Kerren
2022	J	`jnl`	The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations. CoRR Angelos Chatzimparmpas, Rafael Messias Martins, Ilir Jusufi, Kostiantyn Kucher, Fabrice Rossi, Andreas Kerren
2022	J	`jnl`	Visual Text Analytics (Dagstuhl Seminar 22191). Dagstuhl Reports Christopher Collins, Antske Fokkens, Andreas Kerren, Chris Weaver, Angelos Chatzimparmpas
2022	J	`jnl`	Visual analysis of blow molding machine multivariate time series data. J. Vis. Maath Musleh, Angelos Chatzimparmpas, Ilir Jusufi
2021	—	`conf`	Empirical Study: Visual Analytics for Comparing Stacking to Blending Ensemble Learning. CSCS Angelos Chatzimparmpas, Rafael Messias Martins, Kostiantyn Kucher, Andreas Kerren
2021	J	`jnl`	FeatureEnVi: Visual Analytics for Feature Engineering Using Stepwise Selection and Semi-Automatic Extraction Approaches. CoRR Angelos Chatzimparmpas, Rafael Messias Martins, Kostiantyn Kucher, Andreas Kerren
2021	J	`jnl`	StackGenVis: Alignment of Data, Algorithms, and Models for Stacking Ensemble Learning Using Performance Metrics. IEEE Trans. Vis. Comput. Graph. Angelos Chatzimparmpas, Rafael Messias Martins, Kostiantyn Kucher, Andreas Kerren
2021	J	`jnl`	VisEvol: Visual Analytics to Support Hyperparameter Search through Evolutionary Optimization. Comput. Graph. Forum Angelos Chatzimparmpas, Rafael Messias Martins, Kostiantyn Kucher, Andreas Kerren
2021	J	`jnl`	VisRuler: Visual Analytics for Extracting Decision Rules from Bagged and Boosted Decision Trees. CoRR Angelos Chatzimparmpas, Rafael Messias Martins, Andreas Kerren
2021	C	`conf`	Visual Analysis of Industrial Multivariate Time Series. VINCI Maath Musleh, Angelos Chatzimparmpas, Ilir Jusufi
2020	J	`jnl`	A survey of surveys on the use of visualization for interpreting machine learning models. Inf. Vis. Angelos Chatzimparmpas, Rafael Messias Martins, Ilir Jusufi, Andreas Kerren
2020	J	`jnl`	StackGenVis: Alignment of Data, Algorithms, and Models for Stacking Ensemble Learning Using Performance Metrics. CoRR Angelos Chatzimparmpas, Rafael Messias Martins, Kostiantyn Kucher, Andreas Kerren
2020	J	`jnl`	The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations. Comput. Graph. Forum Angelos Chatzimparmpas, Rafael Messias Martins, Ilir Jusufi, Kostiantyn Kucher, Fabrice Rossi, Andreas Kerren
2020	J	`jnl`	VisEvol: Visual Analytics to Support Hyperparameter Search through Evolutionary Optimization. CoRR Angelos Chatzimparmpas, Rafael Messias Martins, Kostiantyn Kucher, Andreas Kerren
2020	J	`jnl`	t-viSNE: Interactive Assessment and Interpretation of t-SNE Projections. CoRR Angelos Chatzimparmpas, Rafael Messias Martins, Andreas Kerren
2020	J	`jnl`	t-viSNE: Interactive Assessment and Interpretation of t-SNE Projections. IEEE Trans. Vis. Comput. Graph. Angelos Chatzimparmpas, Rafael Messias Martins, Andreas Kerren
2019	B	`conf`	Analyzing the Evolution of Javascript Applications. ENASE Angelos Chatzimparmpas, Stamatia Bibi, Ioannis Zozas, Andreas Kerren
2019	J	`jnl`	Maintenance process modeling and dynamic estimations based on Bayesian networks and association rules. J. Softw. Evol. Process. Angelos Chatzimparmpas, Stamatia Bibi
2018	—	`conf`	Middleware IoT protocols performance evaluation for carrying out clustered data. SEEDA-CECNSM George Kokkonis, Angelos Chatzimparmpas, Sotirios Kontogiannis