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Computational Simulation of Virtual Patients Reduces Dataset Bias and Improves Machine Learning-Based Detection of ARDS from Noisy Heterogeneous ICU Datasets2023 IEEE Open Journal of Engineering in Medicine and Biology article Computer Science Machine Learning in Healthcare Open access
Konstantin Sharafutdinov, Sebastian Johannes Fritsch, Pejman Farhadi Ghalati, Sina Saffaran, Declan G. Bates, Jonathan G. Hardman, +5 more
12citations -
Expand, Highlight, Generate: RL-driven Document Generation for Passage Reranking2023 Conference on Empirical Methods in Natural Language Processing (EMNLP) conference-paper Computer Science Information Retrieval and Search Behavior Open access
Arian Askari, Mohammad Aliannejadi, Chuan Meng, Evangelos Kanoulas, Suzan Verberne
7citations -
ITACLIP: Boosting Training-Free Semantic Segmentation with Image, Text, and Architectural Enhancements2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) conference-paper Computer Science Advanced Neural Network Applications
M. Arda Aydın, Efe Mert Çırpar, Elvin Abdinli, Gozde Una, Yusuf H. Şahin
3citations -
An Examination of Offline-Trained Encoders in Vision-Based Deep Reinforcement Learning for Autonomous Driving2024 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE) conference-paper Computer Science Reinforcement Learning in Robotics
Shawan Taha Mohammed, Alp Argun, Nicolas Bonnotte, Gerd Ascheid
0citations -
Use-Case Studie eines auf der Nutzung von Handlungsfehlern basierenden AR-Lernsystems zur kritischen Reflexion der technischen Umsetzbarkeit2020 Qucosa (Saxon State and University Library Dresden) conference-paper Computer Science Augmented Reality Applications Open access
Alexander Atanasyan, Jan-Phillip Herrmann, Martin Frenz, Marvin Goppold, Thilo Gamber, Sven M. Tackenberg
1citations -
Self-Supervised Learning Based on Transformed Image Reconstruction for Equivariance-Coherent Feature Representation2026 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Computer Science Domain Adaptation and Few-Shot Learning Open access
Qin Wang, Alessio Quercia, Benjamin Bruns, Abigail Morrison, Hanno Scharr, Kai Krajsek
1citations