136 citations · 238 across the 21 of their papers we have counts for
21 papers
When Medical Imaging Met Self-Attention: A Love Story That Didn't Quite Work Out
Tristan Piater, Niklas Penzel, Gideon Stein +1
A substantial body of research has focused on developing systems that assist medical professionals during labor-intensive early screening processes, many based on convolutional dee…
Reducing Bias in Pre-trained Models by Tuning while Penalizing Change
Niklas Penzel, Gideon Stein, Joachim Denzler
Deep models trained on large amounts of data often incorporate implicit biases present during training time. If later such a bias is discovered during inference or deployment, it i…
Regime Identification for Improving Causal Analysis in Non-stationary Timeseries
Wasim Ahmad, Maha Shadaydeh, Joachim Denzler
Time series data from real-world systems often display non-stationary behavior, indicating varying statistical characteristics over time. This inherent variability poses significan…
The Power of Properties: Uncovering the Influential Factors in Emotion Classification
Tim Büchner, Niklas Penzel, Orlando Guntinas-Lichius +1
Facial expression-based human emotion recognition is a critical research area in psychology and medicine. State-of-the-art classification performance is only reached by end-to-end…
Physics Informed Modeling of Ecosystem Respiration via Dynamic Mode Decomposition with Control Input
Maha Shadaydeh, Joachim Denzler, Mirco Migliavacca
Ecosystem respiration (Reco) represents a major component of the global carbon cycle, and accurate characterization of its dynamics is essential for a comprehensive understanding o…
Embracing the black box: Heading towards foundation models for causal discovery from time series data
Gideon Stein, Maha Shadaydeh, Joachim Denzler
Causal discovery from time series data encompasses many existing solutions, including those based on deep learning techniques. However, these methods typically do not endorse one o…