Saarland University

Swarm Learning for decentralized and confidential clinical machine learning

Stefanie Warnat‐Herresthal, Hartmut Schultze, Krishnaprasad Lingadahalli Shastry et al.

2021 · 823 Zit.

What do we want from Explainable Artificial Intelligence (XAI)? – A stakeholder perspective on XAI and a conceptual model guiding interdisciplinary XAI research

Markus Langer, Daniel Oster, Timo Speith et al.

2021 · 582 Zit.

Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions

Luca Longo, Mario Brčić, Federico Cabitza et al.

2024 · 453 Zit.

Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma

Tirtha Chanda, Katja Hauser, Sarah Hobelsberger et al.

2024 · 139 Zit.

Medical students’ AI literacy and attitudes towards AI: a cross-sectional two-center study using pre-validated assessment instruments

Matthias Carl Laupichler, Alexandra Aster, Marcel Meyerheim et al.

2024 · 114 Zit.

Introducing a multi-stakeholder perspective on opacity, transparency and strategies to reduce opacity in algorithm-based human resource management

Markus Langer, Cornelius J. König

2021 · 110 Zit.

What to expect from opening up ‘black boxes’? Comparing perceptions of justice between human and automated agents

Nadine Schlicker, Markus Langer, Sonja Kristine Ötting et al.

2021 · 103 Zit.

Psychology Meets Machine Learning: Interdisciplinary Perspectives on Algorithmic Job Candidate Screening

Cynthia C. S. Liem, Markus Langer, Andrew M. Demetriou et al.

2018 · 97 Zit.

Advances in Artificial Intelligence

Ildar Batyrshin, Grigori Sidorov

2011 · 80 Zit.

Artificial intelligence in commercial fracture detection products: a systematic review and meta-analysis of diagnostic test accuracy

Julius Husarek, Silvan Hess, Sam Razaeian et al.

2024 · 44 Zit.

Exploring generative AI in higher education: a RAG system to enhance student engagement with scientific literature

Dominik Thüs, Sarah Malone, Roland Brünken

2024 · 43 Zit.

Advances in Artificial Intelligence

Jacques Wainer, Brazilian Symposium on Artificial Intelligence 1995 Campinas, São Paulo

1995 · 36 Zit.

Justice, trust, and moral judgements when personnel selection is supported by algorithms

Tina Feldkamp, Markus Langer, Leo Wies et al.

2023 · 29 Zit.

Erratum to: Making sense of big data in health research: towards an EU action plan

Charles Auffray, Rudi Balling, Inês Barroso et al.

2016 · 27 Zit.

<i>CLIN-X</i>: pre-trained language models and a study on cross-task transfer for concept extraction in the clinical domain

Lukas Lange, Heike Adel, Jannik Strötgen et al.

2022 · 17 Zit.