University of Kaiserslautern

Co-Design of a Trustworthy AI System in Healthcare: Deep Learning Based Skin Lesion Classifier

Roberto V. Zicari, Sheraz Ahmed, Julia Amann et al.

2021 · 64 Zit.

Conceptual Structure and Current Trends in Artificial Intelligence, Machine Learning, and Deep Learning Research in Sports: A Bibliometric Review

Carlo Dindorf, Eva Bartaguiz, Freya Gassmann et al.

2022 · 57 Zit.

Enhancing biomechanical machine learning with limited data: generating realistic synthetic posture data using generative artificial intelligence

Carlo Dindorf, Jonas Dully, Jürgen Konradi et al.

2024 · 17 Zit.

AI-Based Anomaly Detection for Clinical-Grade Histopathological Diagnostics

Jonas Dippel, Niklas Prenißl, Julius Hense et al.

2024 · 12 Zit.

Conceptual structure and current trends in Artificial Intelligence, Machine Learning, and Deep Learning research in sports: A bibliometric review

Carlo Dindorf, Eva Bartaguiz, Freya Gassmann et al.

2022 · 6 Zit.

Intelligence and Artificial Intelligence

Ulrich Ratsch, Michael M. Richter, Ion-Olimpiu Stamatescu

1998 · 5 Zit.

Younger adults may be faster at making semantic predictions, but older adults are more efficient.

Leigh B. Fernandez, Munham Shehzad, Lauren V. Hadley

2025 · 3 Zit.

Ten Guidelines for Scoring Psychological Assessments Using Artificial Intelligence

Denis Dumas, Samuel Greiff, Eunike Wetzel

2025 · 3 Zit.

STRATUM project: AI-based point of care computing for neurosurgical 3D decision support tools

Himar Fabelo, Raquel León, Emanuele Torti et al.

2025 · 2 Zit.

Visualizing Information Retrieved from (Large) WHAT Networks

Gerrit C. van der Veer, Achim Ebert, Nahum Gershon et al.

2019 · 0 Zit.

Does ChatGPT know what robots are thinking? - Evaluation of human-created vs. AI-generated scientific ideas

Vera Eymann, Thomas Lachmann, Felix Hekele et al.

2025 · 0 Zit.