activity
20212023
most citedGenerative AI

1.3k citations · 1.4k across the 11 of their papers we have counts for

collaborators

11 papers

cs.LG2023

DSG: An End-to-End Document Structure Generator

Johannes Rausch, Gentiana Rashiti, Maxim Gusev +2

Information in industry, research, and the public sector is widely stored as rendered documents (e.g., PDF files, scans). Hence, to enable downstream tasks, systems are needed that…

cs.AI20231.3k cited

Generative AI

Stefan Feuerriegel, Jochen Hartmann, Christian Janiesch +1

The term "generative AI" refers to computational techniques that are capable of generating seemingly new, meaningful content such as text, images, or audio from training data. The…

cs.LG202321 cited

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…

cs.SI20231 cited

Analyzing the Strategy of Propaganda using Inverse Reinforcement Learning: Evidence from the 2022 Russian Invasion of Ukraine

Dominique Geissler, Stefan Feuerriegel

The 2022 Russian invasion of Ukraine was accompanied by a large-scale, pro-Russian propaganda campaign on social media. However, the strategy behind the dissemination of propaganda…

stat.AP20234 cited

A comparison of short-term probabilistic forecasts for the incidence of COVID-19 using mechanistic and statistical time series models

Nicolas Banholzer, Thomas Mellan, H Juliette T Unwin +3

Short-term forecasts of infectious disease spread are a critical component in risk evaluation and public health decision making. While different models for short-term forecasting h…

cs.HC20227 cited

"Is It My Turn?" Assessing Teamwork and Taskwork in Collaborative Immersive Analytics

Michaela Benk, Raphael Weibel, Stefan Feuerriegel +1

Immersive analytics has the potential to promote collaboration in machine learning (ML). This is desired due to the specific characteristics of ML modeling in practice, namely the…