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Adversarial machine learning
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Recently Published Articles
|September 22, 2026
Memory-induced active particle ratchets: Mean currents and large deviations
Venkata D Pamulaparthy, Rosemary J Harris
|September 22, 2026
Learning and extrapolating scale-invariant processes
Anaclara Alvez, Cyril Furtlehner, François Landes
|September 22, 2026
Development of interpretable machine learning models for predicting the probability of sepsis in patients with pulmonary fibrosis in the intensive care unit: based on MIMIC-IV and multi-database validation
Yuwei Xia, Junchao Yang
|September 22, 2026
Empowerment or disempowerment? How generative AI consultation shapes the health decision-making among the new generation of older adults
Haibei Chen, Zhengyuan Qian, Xianglian Zhao
|September 22, 2026
Expert-Driven Survival Machines: Improving Stratification and Interpretability in Multiple Clinical Cohorts
Farica Zhuang, Zixuan Wen, Christos Davatzikos, Li Shen
|September 22, 2026
Automated chest X-ray disease screening using large language models and deep convolutional neural networks on the MIMIC-CXR dataset
Qingyu Zhang, Pardeep Vasudev, Kezhi Li, Holger Kunz
|September 22, 2026
Gillespie-based simulation and inference for non-Markovian stochastic reaction networks
Aurélien Pélissier, Miroslav Phan, Niko Beerenwinkel, María Rodríguez Martínez
|September 22, 2026
Modeling Driver Adaptation Patterns During Remote Driving
Xingjian Ma, Anthony D McDonald