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Belief functions and rough sets: Survey and new insights
Rough set theory and belief function theory, two popular mathematical frameworks for
uncertainty representation, have been widely applied in different settings and contexts …
uncertainty representation, have been widely applied in different settings and contexts …
Three-way decision for handling uncertainty in machine learning: A narrative review
In this work we introduce a framework, based on three-way decision (TWD) and the
trisecting-acting-outcome model, to handle uncertainty in Machine Learning (ML). We …
trisecting-acting-outcome model, to handle uncertainty in Machine Learning (ML). We …
American sign language words recognition of skeletal videos using processed video driven multi-stacked deep LSTM
Complex hand gesture interactions among dynamic sign words may lead to
misclassification, which affects the recognition accuracy of the ubiquitous sign language …
misclassification, which affects the recognition accuracy of the ubiquitous sign language …
A general framework for evaluating and comparing soft clusterings
In this article, we propose a general framework for the development of external evaluation
measures for soft clustering. Our proposal is based on the interpretation of soft clustering as …
measures for soft clustering. Our proposal is based on the interpretation of soft clustering as …
Orthopartitions and soft clustering: soft mutual information measures for clustering validation
In this work, we introduce the notion of orthopartition as a generalized partition with
uncertainty. Several entropy-based measures are then developed to measure this intrinsic …
uncertainty. Several entropy-based measures are then developed to measure this intrinsic …
A distributional framework for evaluation, comparison and uncertainty quantification in soft clustering
In this article, we propose and study a general framework for comparing and evaluating soft
clusterings, viewed as a form of uncertainty quantification for clustering tasks, with the aim of …
clusterings, viewed as a form of uncertainty quantification for clustering tasks, with the aim of …
A distributional approach for soft clustering comparison and evaluation
The development of external evaluation criteria for soft clustering (SC) has received limited
attention: existing methods do not provide a general approach to extend comparison …
attention: existing methods do not provide a general approach to extend comparison …
Comparative analysis of centrality measures of network nodes based on principal component analysis
IY Eremeev, MV Tatarka, FL Shuvaev… - Informatics and …, 2020 - journals.rcsi.science
The analysis of networks of a diverse nature, which are citation networks, social networks or
information and communication networks, includes the study of topological properties that …
information and communication networks, includes the study of topological properties that …
Анализ мер центральности узлов сетей на основе метода главных компонент
ИЮ Еремеев, МВ Татарка, ФЛ Шуваев… - Информатика и …, 2020 - ia.spcras.ru
Аннотация Анализ сетей разнообразной природы, которыми являются сети
цитирования, а также социальные или информационно-коммуникационные сети …
цитирования, а также социальные или информационно-коммуникационные сети …
[HTML][HTML] Определение оптимального набора метрик подобия графов в задачах распознавания топологий техногенных космических объектов
НВ Груздев, ФЛ Шуваев - Информационно-управляющие …, 2024 - cyberleninka.ru
Введение: в условиях техногенного засорения околоземного космического
пространства актуальной остается задача анализа результатов наблюдений за …
пространства актуальной остается задача анализа результатов наблюдений за …