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07/14/2023
Visual Explanations with Attributions and Counterfactuals on Time Series Classification
With the rising necessity of explainable artificial intelligence (XAI), ...
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07/11/2023
A Deep Dive into Perturbations as Evaluation Technique for Time Series XAI
Explainable Artificial Intelligence (XAI) has gained significant attenti...
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05/31/2022
ViNNPruner: Visual Interactive Pruning for Deep Learning
Neural networks grow vastly in size to tackle more sophisticated tasks. ...
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09/27/2021
Time Series Model Attribution Visualizations as Explanations
Attributions are a common local explanation technique for deep learning ...
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09/17/2021
TS-MULE: Local Interpretable Model-Agnostic Explanations for Time Series Forecast Models
Time series forecasting is a demanding task ranging from weather to fail...
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12/08/2020
An Empirical Study of Explainable AI Techniques on Deep Learning Models For Time Series Tasks
Decision explanations of machine learning black-box models are often gen...
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08/19/2020
Multiscale Snapshots: Visual Analysis of Temporal Summaries in Dynamic Graphs
The overview-driven visual analysis of large-scale dynamic graphs poses ...
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03/27/2020
SpatialRugs: Enhancing Spatial Awareness of Movement in Dense Pixel Visualizations
Compact visual summaries of spatio-temporal movement data often strive t...
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09/16/2019
Towards A Rigorous Evaluation Of XAI Methods On Time Series
Explainable Artificial Intelligence (XAI) methods are typically deployed...
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07/29/2019