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An Empirical Comparison of Meta-Modeling Techniques for Robust Design Optimization2020 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science Advanced Multi-Objective Optimization Algorithms Open access
Sibghat Ullah, Hao Wang, Stefan Menzel, Thomas Bäck, Bernhard Sendhoff
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An Empirical Comparison of Meta-Modeling Techniques for Robust Design Optimization2020 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science Advanced Multi-Objective Optimization Algorithms Open access
Sibghat Ullah, Hao Wang, Stefan Menzel, Thomas Bäck, Bernhard Sendhoff
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Scalable, Explainable and Provably Robust Anomaly Detection with One-Step Flow Matching2025 neural information processing systems conference-paper Computer Science Anomaly Detection Techniques and Applications Open access
Zhong Li, Qi Zhong Huang, Yuxuan Zhu, Lincen Yang, Bas van Stein, Matthijs van Leeuwen
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Adversarial Robustness of Time-Series Classification for Crystal Collimator Alignment2026 CERN Document Server (European Organization for Nuclear Research) article Computer Science Adversarial Robustness in Machine Learning Open access
Xaver Fink, Borja Fernández Adiego, Daniele Mirarchi, Eloise Matheson, Álvaro García González, Gianmarco Ricci, +1 more
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Adversarial Robustness of Time-Series Classification for Crystal Collimator Alignment2026 arXiv (Cornell University) preprint Computer Science Adversarial Robustness in Machine Learning Open access
Xaver Fink, Borja Fernández Adiego, Daniele Mirarchi, Eloise Matheson, Álvaro García González, Gianmarco Ricci, +1 more
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Atlas-Augmented Semantic Segmentation for Robust Ultra-Low-Field Pediatric Brain Imaging2026 Lecture notes in computer science conference-paper Computer Science Medical Image Segmentation Techniques Open access
Kostiantyn Lavronenko, Rueveyda Yilmaz, Zhu Chen, Johannes Stegmaier, Volkmar Schulz
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Supplementary material for the paper: Objective-Induced Bias and Search Dynamics in Multiobjective Unsupervised Feature Selection0citations
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Supplementary material for the paper: Objective-Induced Bias and Search Dynamics in Multiobjective Unsupervised Feature Selection0citations