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A robust algorithm for explaining unreliable machine learning survival models using the Kolmogorov–Smirnov bounds for explaining machine learning survival models. The algorithm is developed to ensure robustness to cases of a

Joint decision-making of parallel machine scheduling restricted in job-machine release time and preventive maintenance with remaining useful life constraintsThe machine remaining useful life (RUL), the job-machine release time and the correlation between

Машиночитаемое право и его роль в функционировании маркетплейсов at developing approaches to the legal understanding of the phenomenon of machine-readable law. The article

On Quantum Fingerprinting and Quantum Cryptographic Hashing,

Machine learning and lambda architecture methods application to optimize postgresql database performanceHere is described the application of methods of optimizing POSTGRESQL database using machine

Comparative analysis of Machine and deep Learning Algorithms in semantic analysisThe article compare different approaches as machine learning and deep learning in semantic analysis

Machine learning: future innovationsThe paper explores machine learning impact across sectors like healthcare, digital experiences

Heavy tails and asymmetry of returns in the Russian stock marketLog-log rank-size regression

Accounting for the influence of logging tool decentering in acoustic logging data processingIt was carried out the processing of research results of acoustic logging sector equipment

Features and methodological aspects of well logging for natural bitumen logging techniques for investigating of the Permian hydrocarbons deposits in the deep wells. We consider

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