Zobrazeno 1 - 10
of 135
pro vyhledávání: '"Boris Galitsky"'
Autor:
Boris Galitsky
Publikováno v:
Entropy, Vol 25, Iss 11, p 1496 (2023)
It is well known that deep learning (DNN) has strong limitations due to a lack of explainability and weak defense against possible adversarial attacks. These attacks would be a concern for autonomous teams producing a state of high entropy for the te
Externí odkaz:
https://doaj.org/article/006d6b7275d74b679cbe3ca86cc1265d
Publikováno v:
Entropy, Vol 25, Iss 6, p 924 (2023)
In spite of great progress in recent years, deep learning (DNN) and transformers have strong limitations for supporting human–machine teams due to a lack of explainability, information on what exactly was generalized, and machinery to be integrated
Externí odkaz:
https://doaj.org/article/35e10da3ea074fe2bc049abc7bf9fb99
Publikováno v:
Entropy; Volume 25; Issue 6; Pages: 924
In spite of great progress in recent years, deep learning (DNN) and transformers have strong limitations for supporting human–machine teams due to a lack of explainability, information on what exactly was generalized, and machinery to be integrated
Publikováno v:
Computational Linguistics and Intelligent Text Processing ISBN: 9783031237928
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::821efae6cb37e5a151e100e6a646f9d3
https://doi.org/10.1007/978-3-031-23793-5_7
https://doi.org/10.1007/978-3-031-23793-5_7
Publikováno v:
Human-Intelligent Systems Integration. 3:1-14
In this paper we present an approach to creating Bi-directional Decision Support System (DSS) as an intermediary between an expert (U) and a machine learning (ML) system for choosing an optimal solution. As a first step, such DSS analyzes the stabili
Autor:
Boris Galitsky
Publikováno v:
Artificial Intelligence for Healthcare Applications and Management ISBN: 9780128245217
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ba416f8b0eafc29fd87080578b0b5df
https://doi.org/10.1016/b978-0-12-824521-7.00010-7
https://doi.org/10.1016/b978-0-12-824521-7.00010-7