5 papers
Bayesian Inference Procedures for A/B Testing: An Overview
Mårten Schultzberg, Mattias Frånberg
Bayesian inference for A/B testing is a family of prior and stopping-rule configurations with fundamentally different statistical properties, but it is often discussed as a single…
GARLIC: Graph Attention-based Relational Learning of Multivariate Time Series in Intensive Care
Ruirui Wang, Yanke Li, Manuel Günther +1
Healthcare data, such as Intensive Care Unit (ICU) records, comprise heterogeneous multivariate time series sampled at irregular intervals with pervasive missingness. However, clin…
FAME: Feature Activation Map Explanation on Image Classification and Face Recognition
Xinyi Zhang, Manuel Günther
Deep Learning has revolutionized machine learning, reaching unprecedented levels of accuracy, but at the cost of reduced interpretability. Especially in image processing systems, d…
Refining Tuberculosis Detection in CXR Imaging: Addressing Bias in Deep Neural Networks via Interpretability
Ãzgür Acar Güler, Manuel Günther, André Anjos
Automatic classification of active tuberculosis from chest X-ray images has the potential to save lives, especially in low- and mid-income countries where skilled human experts can…
Quo Vadis RankList-based System in Face Recognition?
Xinyi Zhang, Manuel Günther
Face recognition in the wild has gained a lot of focus in the last few years, and many face recognition models are designed to verify faces in medium-quality images. Especially due…