Andreas P. Hinterreiter

Orcid: 0000-0003-4101-5180

According to our database1, Andreas P. Hinterreiter authored at least 18 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Marjorie: Visualizing Type 1 Diabetes Data to Support Pattern Exploration.
IEEE Trans. Vis. Comput. Graph., January, 2024

2023
Provectories: Embedding-Based Analysis of Interaction Provenance Data.
IEEE Trans. Vis. Comput. Graph., December, 2023

Visual Exploration of Relationships and Structure in Low-Dimensional Embeddings.
IEEE Trans. Vis. Comput. Graph., July, 2023

ParaDime: A Framework for Parametric Dimensionality Reduction.
Comput. Graph. Forum, June, 2023

Fuzzy Spreadsheet: Understanding and Exploring Uncertainties in Tabular Calculations.
IEEE Trans. Vis. Comput. Graph., 2023

Effects of Explainable Artificial Intelligence on trust and human behavior in a high-risk decision task.
Comput. Hum. Behav., 2023

Visualizing Pairwise Feature Interactions in Neural Additive Models.
Proceedings of the 25th Eurographics Conference on Visualization, 2023

2022
Visuelle Erklärungen hochdimensionaler und zeitabhängiger Prozesse.
Ausgezeichnete Informatikdissertationen, 2022

ConfusionFlow: A Model-Agnostic Visualization for Temporal Analysis of Classifier Confusion.
IEEE Trans. Vis. Comput. Graph., 2022

A Process Model for Dashboard Onboarding.
Comput. Graph. Forum, 2022

Interactive Attribution-based Explanations for Image Segmentation.
Proceedings of the 24th Eurographics Conference on Visualization, 2022

2021
Projection Path Explorer: Exploring Visual Patterns in Projected Decision-making Paths.
ACM Trans. Interact. Intell. Syst., 2021

2020
InstanceFlow: Visualizing the Evolution of Classifier Confusion on the Instance Level.
CoRR, 2020

Projective Latent Space Decluttering.
CoRR, 2020

Exploring Visual Patterns in Projected Human and Machine Decision-Making Paths.
CoRR, 2020

InstanceFlow: Visualizing the Evolution of Classifier Confusion at the Instance Level.
Proceedings of the 31st IEEE Visualization Conference, 2020

Projective Latent Interventions for Understanding and Fine-Tuning Classifiers.
Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020

2019
Visualization of Rubik's Cube Solution Algorithms.
Proceedings of the 10th International EuroVis Workshop on Visual Analytics, 2019


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