352 citations · 991 across the 14 of their papers we have counts for
15 papers
A Globally Convergent Algorithm for Neural Network Parameter Optimization Based on Difference-of-Convex Functions
Daniel Tschernutter, Mathias Kraus, Stefan Feuerriegel
We propose an algorithm for optimizing the parameters of single hidden layer neural networks. Specifically, we derive a blockwise difference-of-convex (DC) functions representation…
Data-Driven Allocation of Preventive Care With Application to Diabetes Mellitus Type II
Mathias Kraus, Stefan Feuerriegel, Maytal Saar-Tsechansky
Problem Definition. Increasing costs of healthcare highlight the importance of effective disease prevention. However, decision models for allocating preventive care are lacking. Me…
GAM(e) changer or not? An evaluation of interpretable machine learning models based on additive model constraints
Patrick Zschech, Sven Weinzierl, Nico Hambauer +2
The number of information systems (IS) studies dealing with explainable artificial intelligence (XAI) is currently exploding as the field demands more transparency about the intern…
A Light in the Dark: Deep Learning Practices for Industrial Computer Vision
Maximilian Harl, Marvin Herchenbach, Sven Kruschel +3
In recent years, large pre-trained deep neural networks (DNNs) have revolutionized the field of computer vision (CV). Although these DNNs have been shown to be very well suited for…
ClimateBert: A Pretrained Language Model for Climate-Related Text
Nicolas Webersinke, Mathias Kraus, Julia Anna Bingler +1
Over the recent years, large pretrained language models (LM) have revolutionized the field of natural language processing (NLP). However, while pretraining on general language has…
Modeling Longitudinal Dynamics of Comorbidities
Basil Maag, Stefan Feuerriegel, Mathias Kraus +2
In medicine, comorbidities refer to the presence of multiple, co-occurring diseases. Due to their co-occurring nature, the course of one comorbidity is often highly dependent on th…