Optimal ski route selection is a challenge based on a multitude of facto...
With the rising necessity of explainable artificial intelligence (XAI), ...
Explainable Artificial Intelligence (XAI) has gained significant attenti...
While deep reinforcement learning (RL) agents have showcased strong resu...
Robustness to adversarial perturbations has been explored in many areas ...
Neural networks grow vastly in size to tackle more sophisticated tasks. ...
Manually investigating sheet music collections is challenging for music
...
Digital systems for analyzing human communication data have become preva...
Attributions are a common local explanation technique for deep learning
...
Time series forecasting is a demanding task ranging from weather to fail...
The prevalent usage of open-source software (OSS) has led to an increase...
Leveraging hypergraph structures to model advanced processes has gained ...
The automated analysis of digital human communication data often focuses...
Communication consists of both meta-information as well as content.
Curr...
With the increasingly detailed investigation of game play and tactics in...
Decision explanations of machine learning black-box models are often
gen...
Segmenting biologging time series of animals on multiple temporal scales...
Compact visual summaries of spatio-temporal movement data often strive t...
Explainable Artificial Intelligence (XAI) methods are typically deployed...
Parallel coordinates are a popular technique to visualize multi-dimensio...
Data science requires time-consuming iterative manual activities. In
par...