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The harm of class imbalance corrections for risk prediction models: illustration and simulation using logistic regression2022 Journal of the American Medical Informatics Association article Computer Science Imbalanced Data Classification Techniques Open access
Ruben van den Goorbergh, Maarten van Smeden, Dirk Timmerman, Ben Van Calster
360citations -
Federated Learning for Automatic Modulation Classification Under Class Imbalance and Varying Noise Condition2021 IEEE Transactions on Cognitive Communications and Networking article Computer Science Wireless Signal Modulation Classification cited by 1 patent
Yu Wang, Guan Gui, Haris Gacanin, Bamidele Adebisi, Hikmet Sari, Fumiyuki Adachi
109citations -
Understanding random resampling techniques for class imbalance correction and their consequences on calibration and discrimination of clinical risk prediction models2024 Journal of Biomedical Informatics article Computer Science Imbalanced Data Classification Techniques Open access
Marco Piccininni, Maximilian Wechsung, Ben Van Calster, Jessica Lee Rohmann, Stefan Konigorski, Maarten van Smeden
42citations -
Improved Automated CASH Optimization with Tree Parzen Estimators for Class Imbalance Problems2021 IEEE International Conference on Data Science and Advanced Analytics (DSAA) conference-paper Computer Science Machine Learning and Data Classification Open access
Duc Anh Nguyen, Jiawen Kong, Hao Wang, Stefan Menzel, Bernhard Sendhoff, Anna V. Kononova, +1 more
12citations -
COOD: Combined out-of-distribution detection using multiple measures for anomaly & novel class detection in large-scale hierarchical classification2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) conference-paper Computer Science Adversarial Robustness in Machine Learning Open access
Laurens Hogeweg, Rajesh Gangireddy, Django Brunink, Vincent J. Kalkman, L. J. Cornelissen, Jacob W. Kamminga
5citations -
COOD: Combined out-of-distribution detection using multiple measures for anomaly & novel class detection in large-scale hierarchical classification2024 arXiv (Cornell University) preprint Computer Science Adversarial Robustness in Machine Learning Open access
Laurens Hogeweg, Rajesh Gangireddy, Django Brunink, Vincent J. Kalkman, L. J. Cornelissen, Jacob W. Kamminga
2citations -
GTCN-G: A Residual Graph-Temporal Fusion Network for Imbalanced Intrusion Detection2025 IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) conference-paper Computer Science Network Security and Intrusion Detection
Tianxiang Xu, Zhichao Wen, Xinyu Zhao, Qi Hu, Yan Li, Chang Liu
3citations -
AI Species Identification Using Image and Sound Recognition for Citizen Science, Collection Management and Biomonitoring: From Training Pipeline to Large-Scale Models2024 Biodiversity Information Science and Standards article Computer Science Advanced Neural Network Applications Open access
Laurens Hogeweg, Django Brunink, Khadija Ezzaki-Chokri, Wilfred Gerritsen, Rita Pucci, Burooj Ghani, +2 more
3citations -
Large language models for structured cardiovascular data extraction: a foundation for scalable research and clinical applications2025 European Heart Journal - Digital Health article Computer Science Machine Learning in Healthcare Open access
Wouter P M van der Loo, Viktor van der Valk, Tim van den Broek, Douwe E. Atsma, Marius Staring, Roderick W.C. Scherptong
5citations -
Automatic Embedding Interventions for the Classification of Hematopoietic Cells2022 Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition conference-paper Computer Science Digital Imaging for Blood Diseases
Philipp Gräbel, Julian Thull, Martina Margrit Crysandt, Barbara M. Klinkhammer, Peter Boor, Tim H. Brümmendorf, +1 more
0citations