149 citations · 209 across the 22 of their papers we have counts for
31 papers · 1 filter
Application of Graph Convolutions in a Lightweight Model for Skeletal Human Motion Forecasting
Luca Hermes, Barbara Hammer, Malte Schilling
Prediction of movements is essential for successful cooperation with intelligent systems. We propose a model that integrates organized spatial information as given through the movi…
Convex optimization for actionable \& plausible counterfactual explanations
André Artelt, Barbara Hammer
Transparency is an essential requirement of machine learning based decision making systems that are deployed in real world. Often, transparency of a given system is achieved by pro…
Contrastive Explanations for Explaining Model Adaptations
André Artelt, Fabian Hinder, Valerie Vaquet +2
Many decision making systems deployed in the real world are not static - a phenomenon known as model adaptation takes place over time. The need for transparency and interpretabilit…
Evaluating Robustness of Counterfactual Explanations
André Artelt, Valerie Vaquet, Riza Velioglu +4
Transparency is a fundamental requirement for decision making systems when these should be deployed in the real world. It is usually achieved by providing explanations of the syste…
Analysis of Drifting Features
Fabian Hinder, Jonathan Jakob, Barbara Hammer
The notion of concept drift refers to the phenomenon that the distribution, which is underlying the observed data, changes over time. We are interested in an identification of thos…
Interpretable Locally Adaptive Nearest Neighbors
Jan Philip Göpfert, Heiko Wersing, Barbara Hammer
When training automated systems, it has been shown to be beneficial to adapt the representation of data by learning a problem-specific metric. This metric is global. We extend this…