Sergey Smagin

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The impact of two types of multi-walled carbon nanotubes (MWCNTs) (12-14 nm) with different content of metallic impurities (purified and unpurified nanotubes) on peroxidation processes, the status of immune cells in healthy volunteers and gene expression combined to pathway analysis was studied in vitro. From the study it was shown that the main mechanism(More)
This paper reviews tests of the features of methods of inductive knowledge discovery, it proposes a general approach to their performance and a scheme of experimental exploration, as well as giving examples of the use of a general approach for studying the features of methods during tasks of pattern recognition and medical diagnostics.
The task of inductive formation of knowledge for a simplified ontology of medical diagnostics is considered. We present the results of experimenting (based on data models) with a problem-oriented method for the random arrangement of the bounds of dynamics periods for this ontology, which is in fact a version of the Monte-Carlo method.
The hypothesis is advanced that external evaluation of properties in the inductive formation of knowledge (IFK) method reflects, to greater extent, the degree of separation of object classes in the object domain and, to a lesser extent, the properties of the IFK method itself, while internal evaluation, in contrast, reflects the property of the IFK method(More)
Statements of the major tasks of inductive formation of knowledge are suggested. These are classifications and clusterings, which are part of machine learning and are applied for dependence models with parameters that are not flawed in their traditional statement. An algorithm for knowledge base formation is presented for learning samples in almost(More)
Development of the autonomous underwater vehicle technical vision systems is impossible without precise debugging and testing. Due to the factors described in the paper, such testing in most cases cannot be implemented with the help of real AUV. Therefore, the usage of the procedurally generated virtual testing areas is suggested. The algorithm for(More)
Nowadays people have to interact with huge amount of data. Recommender systems are all about help them with it. Particulaly, music listener often has large playlist and not each track he likes the same. This article describes a way to evaluate music rating based on implicit assessments.
This paper proposes a problem-oriented method for the objective formation of easily interpretable knowledge databases for intelligent systems. We describe the InForMedKB software complex, which is designed for the inductive formation of medical diagnostics knowledge databases; it was used to perform the proposed method. Expert analysis of the results of(More)
The paper provides an introduction into the area of inductive formation of knowledge bases. It presents traditional definitions of main problems in this area and highlights the current topical questions including the interpretability of the results. For solving of current problems in defined area the method of inductive formation of easily interpretable(More)
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