Zobrazeno 1 - 10
of 27 090
pro vyhledávání: '"Andreeva IS"'
Autor:
Andreeva, Daniela, Savova, Guergana
The Artificial Intelligence field, or AI, experienced a renaissance in the last few years across various fields such as law, medicine, and finance. While there are studies outlining the landscape of AI in the legal field as well as surveys of the cur
Externí odkaz:
http://arxiv.org/abs/2410.09937
Remote communication through video or audio conferences has become more popular than ever because of the worldwide pandemic. These events, therefore, have provoked the development of systems for automatic minuting of spoken language leading to AutoMi
Externí odkaz:
http://arxiv.org/abs/2410.03412
Metric magnitude is a measure of the "size" of point clouds with many desirable geometric properties. It has been adapted to various mathematical contexts and recent work suggests that it can enhance machine learning and optimization algorithms. But
Externí odkaz:
http://arxiv.org/abs/2409.04411
We present a novel set of rigorous and computationally efficient topology-based complexity notions that exhibit a strong correlation with the generalization gap in modern deep neural networks (DNNs). DNNs show remarkable generalization properties, ye
Externí odkaz:
http://arxiv.org/abs/2407.08723
The robust valorization of carbon dioxide (CO2) stays at the center of sustainable development. Since CO2 represents a low-energy compound, its transformation into commercially coveted products is cumbersome. In the present work, we report a revoluti
Externí odkaz:
http://arxiv.org/abs/2312.02582
The magnitude of a metric space is a novel invariant that provides a measure of the 'effective size' of a space across multiple scales, while also capturing numerous geometrical properties, such as curvature, density, or entropy. We develop a family
Externí odkaz:
http://arxiv.org/abs/2311.16054
Data valuation has found various applications in machine learning, such as data filtering, efficient learning and incentives for data sharing. The most popular current approach to data valuation is the Shapley value. While popular for its various app
Externí odkaz:
http://arxiv.org/abs/2311.05346
The increasing usage of new data sources and machine learning (ML) technology in credit modeling raises concerns with regards to potentially unfair decision-making that rely on protected characteristics (e.g., race, sex, age) or other socio-economic
Externí odkaz:
http://arxiv.org/abs/2308.02680
Publikováno v:
Вестник Российского экономического университета имени Г. В. Плеханова, Vol 0, Iss 5, Pp 148-159 (2024)
Production and economic situation observed in product manufacturing makes the problem of personnel management even more topical in view of needs in highly-qualified labour resources. The article provides analysis of HR condition at the industrial ent
Externí odkaz:
https://doaj.org/article/d4d9ba3a9b5f496fa05b8dd94cca1fcf
Publikováno v:
Psihologo-Pedagogičeskie Issledovaniâ, Vol 16, Iss 3, Pp 69-84 (2024)
The article presents the results of the development and standardization of the author’s methodology “Responsibility in Adolescents”, aimed at studying the basic mechanisms of responsibility and the areas of its implementation in the everyday li
Externí odkaz:
https://doaj.org/article/7169389086694cb6b72ed04c6517cce5