Carlos Scheidegger

University of Arizona — United States

Computer Science · Physical Sciences

40h-index7.2kcitations141works0.02yr avg
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Research Topics

Data Visualization and Analytics(47), Scientific Computing and Data Management(25), Computer Graphics and Visualization Techniques(23), 3D Shape Modeling and Analysis(14), Explainable Artificial Intelligence (XAI)(14)

Publications141 total

Persistent Classification: Understanding Adversarial Attacks by Studying Decision Boundary Dynamics
Statistical Analysis and Data Mining The ASA Data Science Journal·2025Open Access
Persistent Classification: A New Approach to Stability of Data and Adversarial Examples
arXiv (Cornell University)·2024Open Access
Aardvark: Comparative Visualization of Data Analysis Scripts
2023· 2 cited
Reducing Access Disparities in Networks using Edge Augmentation✱
2023· 7 citedOpen Access
Interactive Visualization for Data Science Scripts
2022· 5 cited
Traveler: Navigating Task Parallel Traces for Performance Analysis
IEEE Transactions on Visualization and Computer Graphics·2022· 9 citedOpen Access
Reducing Access Disparities in Networks using Edge Augmentation
arXiv (Cornell University)·2022Open Access
Traveler: Navigating Task Parallel Traces for Performance Analysis
arXiv (Cornell University)·2022Open Access
VIS 2021 Area Curation Committee
IEEE Transactions on Visualization and Computer Graphics·2021Open Access
VIS 2021 Conference Committee
IEEE Transactions on Visualization and Computer Graphics·2021Open Access
NeuralCubes: Deep Representations for Visual Data Exploration
2021 IEEE International Conference on Big Data (Big Data)·2021· 8 citedOpen Access
Shapley Residuals: Quantifying the limits of the Shapley value for explanations
Neural Information Processing Systems·2021· 36 cited
UnProjection: Leveraging Inverse-Projections for Visual Analytics of High-Dimensional Data
IEEE Transactions on Visualization and Computer Graphics·2021· 2 citedOpen Access
UnProjection: Leveraging Inverse-Projections for Visual Analytics of\n High-Dimensional Data
arXiv (Cornell University)·2021Open Access
Comparing Deep Neural Nets with UMAP Tour
arXiv (Cornell University)·2021· 1 citedOpen Access
VIS 2021 Conference Committee
2021Open Access
VIS 2021 Area Curation Committee
2021Open Access
Human-in-the-loop Extraction of Interpretable Concepts in Deep Learning Models
IEEE Transactions on Visualization and Computer Graphics·2021· 54 cited
STFT-LDA: An Algorithm to Facilitate the Visual Analysis of Building Seismic Responses
arXiv (Cornell University)·2021Open Access
STFT-LDA: An algorithm to facilitate the visual analysis of building seismic responses
Information Visualization·2021· 3 cited
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Frequent Co-authors

Juliana Freire(13), Sorelle A. Friedler(11), Huy T. Vo(11), Suresh Venkatasubramanian(10), Steven P. Callahan(10), Claudio Silva(10), Emanuele Santos(6), David Koop(6), C.T. Silva(4), Gordon Kindlmann(3), João L. D. Comba(3), Louis Bavoil(2), Patricia J. Crossno(2), James T. Klosowski(2), Sean A. Stephens(2), Yifan Hu(2), Luc Moreau(2), İlkay Altıntaş(2), Roger Barga(2), Shawn Bowers(2)