Angelos Chatzimparmpas

Computer Science · Physical Sciences

10h-index785citations46works1.52yr avg
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Research Topics

Data Visualization and Analytics(30), Explainable Artificial Intelligence (XAI)(14), Machine Learning and Data Classification(7), Data Stream Mining Techniques(6), Anomaly Detection Techniques and Applications(5)

Publications46 total

MAPLE: Self-supervised Learning-Enhanced Nonlinear Dimensionality Reduction for Visual Analysis
arXiv (Cornell University)·2026Open Access
MAPLE: Self-supervised Learning-Enhanced Nonlinear Dimensionality Reduction for Visual Analysis
ArXiv.org·2026Open Access
LangLasso: Interactive Cluster Descriptions through LLM Explanation
ArXiv.org·2026Open Access
LangLasso: Interactive Cluster Descriptions through LLM Explanation
arXiv (Cornell University)·2026Open Access
LLM-Assisted Visual Analytics for Investigating Illicit Activities
2025
Analyzing Artist Profiles, Genre Evolution, and Predictive Emergence Using Interactive Visualizations
2025
Investigating Institutional Bias Through a Visualization Dashboard
2025
Decoupling Density Dynamics: A Neural Operator Framework for Adaptive Multi‐Fluid Interactions
Computer Animation and Virtual Worlds·2025
Seeing Eye to AI? Applying Deep-Feature-Based Similarity Metrics to Information Visualization
2025Open Access
Characterizing Photorealism and Artifacts in Diffusion Model-Generated Images
2025· 3 citedOpen Access
An interactive visual-analytic system to support dynamic and adaptive infrastructure pathways for urban water supply planning
2025Open Access
Visual Analytics for Explainable and Trustworthy Artificial Intelligence
IEEE Computer Graphics and Applications·2025· 2 citedOpen Access
Characterizing Photorealism and Artifacts in Diffusion Model-Generated Images
arXiv (Cornell University)·2025Open Access
Seeing Eye to AI? Applying Deep-Feature-Based Similarity Metrics to Information Visualization
2025Open Access
Aiding Humans in Financial Fraud Decision Making: Toward an XAI-Visualization Framework
arXiv (Cornell University)·2024Open Access
How to Distinguish AI-Generated Images from Authentic Photographs
arXiv (Cornell University)·2024· 7 citedOpen Access
Evaluating the Utility of Conformal Prediction Sets for AI-Advised Image Labeling
2024· 5 citedOpen Access
DeforestVis: Behaviour Analysis of Machine Learning Models with Surrogate Decision Stumps
Computer Graphics Forum·2024· 3 citedOpen Access
DimVis: Interpreting Visual Clusters in Dimensionality Reduction With Explainable Boosting Machine
arXiv (Cornell University)·2024· 1 citedOpen Access
Visualization for Trust in Machine Learning Revisited: The State of the Field in 2023
IEEE Computer Graphics and Applications·2024· 11 citedOpen Access
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Frequent Co-authors

Andreas Kerren(20), Rafael M. Martins(9), Jessica Hullman(8), Kostiantyn Kucher(7), Ilir Jusufi(5), Negar Kamali(5), Karyn Nakamura(3), Matthew Groh(3), Rafael Martins(3), George Kokkonis(2), Sotirios Kontogiannis(2), Fernando V. Paulovich(2), Maath Musleh(2), Stamatia Bibi(2), Alexandru Telea(2), Aakriti Kumar(2), Ilya Ploshchik(2), Sheng Long(2), Matthew Kay(2), Zeyang Huang(2)