ConceptExplorer: Visual analysis of concept drifts in multi-source time-series data
Time-series data is widely studied in various scenarios, like weather forecast, stock market,
customer behavior analysis. To comprehensively learn about the dynamic environments, it is …
customer behavior analysis. To comprehensively learn about the dynamic environments, it is …
Visual Explanations with Attributions and Counterfactuals on Time Series Classification
With the rising necessity of explainable artificial intelligence (XAI), we see an increase in
task-dependent XAI methods on varying abstraction levels. XAI techniques on a global level …
task-dependent XAI methods on varying abstraction levels. XAI techniques on a global level …
Provectories: Embedding-based analysis of interaction provenance data
Understanding user behavior patterns and visual analysis strategies is a long-standing
challenge. Existing approaches rely largely on time-consuming manual processes such as …
challenge. Existing approaches rely largely on time-consuming manual processes such as …
[PDF][PDF] Visual Analysis of Multivariate Intensive Care Surveillance Data.
We present an approach for visual analysis of high-dimensional measurement data with
varying sampling rates in the context of an experimental post-surgery study performed on a …
varying sampling rates in the context of an experimental post-surgery study performed on a …
Some chess-specific improvements for perturbation-based saliency maps
J Fritz, J Fürnkranz - 2021 IEEE Conference on Games (CoG), 2021 - ieeexplore.ieee.org
State-of-the-art game playing programs do not provide an explanation for their move choice
beyond a numerical score for the best and alternative moves. However, human players want …
beyond a numerical score for the best and alternative moves. However, human players want …
Multi-level Visual Exploration of High-dimensional Spaces
G Halter, A Diehl, R Pajarola, B Flückiger - Technical Report, 2022 - zora.uzh.ch
The increasing size and dimensionality of datasets in the humanities pose new challenges
to scholars working with them, including establishing an overview over the dataset …
to scholars working with them, including establishing an overview over the dataset …