Titlebook: Analysis of Images, Social Networks and Texts; 8th International Co Wil M. P. van der Aalst,Vladimir Batagelj,Elena Tu Conference proceedin

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Evolutionary Algorithms for Constructing an Ensemble of Decision Trees or ensemble for avoiding local optima. Differential evolution and evolution strategies were chosen as optimization algorithms, as they have good results in reinforcement learning problems. We test the predictive performance of this methods using several public UCI data sets, and the proposed methods show better quality than classical methods.

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Range-Of-Motion

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A Method of Semantic Change Detection Using Diachronic Corpora Datatered. The method is tested on a group of English and Russian words which gained new meanings in the 20th century. The obtained results show that the proposed method allows one to detect semantics changes, as well as to determine the time of these changes.

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Automated Approach to Rhythm Figures Search in English Textnts a new automated approach to integrated search of rhythm figures in fiction including anaphora, epiphora, anadiplosis, symploce and simple repetition provided for by an original lexical tool designed within the framework of the research. The ad hoc experiments have proved this approach to be reliable and informative.

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1865-0929 cial network analysis; analysis of images and video; optimization problems on graphs and network structures; analysis of dynamic behaviour through event data..978-3-030-39574-2978-3-030-39575-9Series ISSN 1865-0929 Series E-ISSN 1865-0937

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Formalization of Medical Records Using an Ontology: Patient Complaintseir values. The algorithm corrects syntactical mistakes according to the hierarchical information from the ontology. The resulting algorithm was proved on 3000 clinical records of Department of Neurosurgery of FEFU.

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Conference proceedings 2020ed without being reviewed). The papers are organized in topical sections on general topics of data analysis; natural language processing; social network analysis; analysis of images and video; optimization problems on graphs and network structures; analysis of dynamic behaviour through event data..

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Der Mensch im Digitalzeitalter: Sapiens 2.0, or ensemble for avoiding local optima. Differential evolution and evolution strategies were chosen as optimization algorithms, as they have good results in reinforcement learning problems. We test the predictive performance of this methods using several public UCI data sets, and the proposed methods show better quality than classical methods.