fastml is an R package for training, evaluating, and comparing machine learning models with a guarded resampling workflow. Rather than introducing new learning algorithms, fastml focuses on reducing ...
Researchers have developed a novel attack that steals user data by injecting malicious prompts in images processed by AI systems before delivering them to a large language model. The method relies on ...
The geometric transformation of remotely sensed imagery from one map projection to another necessitates a data resampling operation which alters the recorded values. The global Landsat archive is made ...
Abstract: High maneuvering bistatic forward-looking SAR (HMBFSAR) has the characteristics of time-delay large migration, Doppler large bandwidth, and parameter strong space variation, which pose ...
It is a significant challenge to improve the blood-brain barrier (BBB) permeability of central nervous system (CNS) drugs in their development. Compared with traditional pharmacokinetic property tests ...
Abstract: In gene expression data analysis, clustering is a fruitful exploratory technique to reveal the underlying molecular mechanism by identifying groups of co-expressed genes. To reduce the noise ...
Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
The Canonical Polyadic (CP) tensor decomposition is frequently used as a model in applications in a variety of different fields. Using jackknife resampling to estimate parameter uncertainties is often ...
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