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Semi-supervised Algorithms in Resource-constrained Edge Devices: An Overview and Experimental Comparison2022 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics) conference-paper Computer Science Machine Learning and Algorithms5citations
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Demonstrating Data-to-Knowledge Pipelines for Connecting Production Sites in the World Wide Lab2026 Machine Learning and Knowledge Extraction article Computer Science Research Data Management Practices Open access
Leon Gorißen, Jan-Niklas Schneider, Mohamed Behery, Philipp Brauner, David Kötter, Thomas Käster, +7 more
3citations -
A comparison of modeling approaches for static and dynamic prediction of central-line bloodstream infections using electronic health records (part 1): regression models2025 Diagnostic and Prognostic Research article Computer Science Machine Learning in Healthcare Open access
Shan Gao, Elena Albu, Hein Putter, Pieter Stijnen, Frank E Rademakers, Veerle Cossey, +4 more
11citations -
Prediction Degeneracy in Medical Vision-Language Models: Implications for Robustness and Interpretability2025 IEEE International Conference on Computer Vision Workshops conference-paper Computer Science Multimodal Machine Learning Applications
Martin Goetze, Dennis Eschweiler, Brendan Huang, Gustav Anton Müller‐Franzes, Carolina Ramirez, Madeline Hess, +3 more
0citations -
A Hybrid Modeling Framework for Generalizable and Interpretable Predictions of ICU Mortality: Leveraging ICD Codes in a Multi-Hospital Study of Mechanically Ventilated Influenza Patients
Moein E. Samadi, Jorge Guzman-Maldonado, Kateryna Nikulina, Hedieh Mirzaieazar, Konstantin Sharafutdinov, Sebastian Johannes Fritsch, +1 more
2citations -
Computational thinking integrated in school subjects – A cross-case analysis of students’ experiences2024 International Journal of Child-Computer Interaction article Computer Science Teaching and Learning Programming Open access
Sabiha Yeni, Jacqueline Nijenhuis-Voogt, Mara Saeli, Erik Barendsen, Felienne Hermans
16citations -
PurSAMERE: Reliable Adversarial Purification via Sharpness-Aware Minimization of Expected Reconstruction Error2026 arXiv (Cornell University) preprint Computer Science Adversarial Robustness in Machine Learning Open access
Vinh Hoang, Sebastian Krumscheid, Holger Rauhut, Raul F. Tempone
0citations