activity
20212026
most citedOver-optimism in benchmark studies and the multiplicity of design and analysis options when interpreting their results

5 citations · 5 across the 4 of their papers we have counts for

collaborators

5 papers

cs.AI2026

Positive Ratings, Hidden Concerns: Employee Voice Disclosure in AI-Mediated Organizational Listening

Thilo Tamme, Michael Saatkamp, Alma Bonte +3

Organizations started listening to employees through conversational AI agents alongside structured surveys. Little is known about what these channels change in what employees say w…

econ.GN2026

Digital State Capacity

Patrick Healy, Simon D. Angus, Paul Raschky +4

Digital State Capacity is the ability of governments to deploy ICT infrastructure and information systems to implement policy. This paper introduces a new measure of government ICT…

q-bio.QM2025

Gut decisions based on the liver: A radiomics approach to boost colorectal cancer screening

Anna Hinterberger, Jonas Bohn, Dasha Trofimova +13

Non-invasive colorectal cancer (CRC) screening represents a key opportunity to improve colonoscopy participation rates and reduce CRC mortality. This study explores the potential o…

stat.ML2024

Achieving interpretable machine learning by functional decomposition of black-box models into explainable predictor effects

David Köhler, David Rügamer, Matthias Schmid

Machine learning (ML) has seen significant growth in both popularity and importance. The high prediction accuracy of ML models is often achieved through complex black-box architect…

stat.ME2021★ 5 cited

Over-optimism in benchmark studies and the multiplicity of design and analysis options when interpreting their results

Christina Nießl, Moritz Herrmann, Chiara Wiedemann +2

In recent years, the need for neutral benchmark studies that focus on the comparison of methods from computational sciences has been increasingly recognised by the scientific commu…