Zobrazeno 1 - 10
of 64
pro vyhledávání: '"Radosław Katarzyniak"'
Autor:
Aleksandra Helena Pasieczna, Remigiusz Szczepanowski, Janusz Sobecki, Radosław Katarzyniak, Izabella Uchmanowicz, Robbert J. J. Gobbens, Aleksander Kahsin, Anant Dixit
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-12 (2023)
Abstract The prevention and diagnosis of frailty syndrome (FS) in cardiac patients requires innovative systems to support medical personnel, patient adherence, and self-care behavior. To do so, modern medicine uses a supervised machine learning appro
Externí odkaz:
https://doaj.org/article/8eeb8cc1220c4d8e9c9b57c165849dbc
Publikováno v:
Procedia Computer Science. 207:4237-4247
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cebf8c851021df16e0e527176e8b40ef
https://doi.org/10.1016/j.procs.2022.09.487
https://doi.org/10.1016/j.procs.2022.09.487
Autor:
Aleksandra Pasieczna, Remigiusz Szczepanowski, Janusz Sobecki, Radosław Katarzyniak, Izabella Uchmanowicz, Robbert J.J. Gobbens, Aleksander Kahsin, Anant Dixit
Prevention and diagnosis of frailty syndrome (FS) in cardiac patients require innovative systems supporting medical personnel and patient adherence and self-care behavior. Modern medicine uses artificial intelligence (AI) to study the psychosocial do
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ca9366ddcc7e665729dbb2c1666f92c
https://doi.org/10.21203/rs.3.rs-2138657/v1
https://doi.org/10.21203/rs.3.rs-2138657/v1
Publikováno v:
KES
In this paper a general strategy of determining categories with prototypes is presented and its variations are discussed. It is assumed that the task is carried out by an artificial agent which autonomously develops and maintains its private ontologi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c9bb22d7c39d0c7cc32400921b5439cc
https://doi.org/10.1016/j.procs.2020.09.120
https://doi.org/10.1016/j.procs.2020.09.120
Publikováno v:
Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery ISBN: 9783030324551
ICNC-FSKD
ICNC-FSKD
Cognitive agents should be equipped with computational methods enabling autonomous extraction of internal cognitive structures, i.e., supporting organization of large datasets and facilitating interaction with human users. In this research, we focus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06308b7d2a5b03b9a417134d5db1fff1
https://doi.org/10.1007/978-3-030-32456-8_25
https://doi.org/10.1007/978-3-030-32456-8_25
Publikováno v:
CISP-BMEI
This paper introduces a computational solution allowing an artificial system to organise large datasets into a set of known basic-level categories. Following cognitive computing paradigm we present an approach towards category-based internal organisa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da8fef646f92648449e1cdc3d48f53f9
https://doi.org/10.1109/cisp-bmei.2017.8302327
https://doi.org/10.1109/cisp-bmei.2017.8302327
Publikováno v:
ICNC-FSKD
Cognitive agents seem to be a perfect fit to computational solutions capable of making sense of large datasets and facilitating interaction with human users. Following cognitive computing paradigm we present an approach towards modelling category-bas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8676abe73e022fa9727882bbabfcee7e
https://doi.org/10.1109/fskd.2017.8393302
https://doi.org/10.1109/fskd.2017.8393302
Autor:
Radosław Katarzyniak, Grzegorz Popek
Publikováno v:
International Journal of Software Engineering and Knowledge Engineering. 23:13-29
To enable artificial systems to meaningfully use a semantic language of communication is one of the long-term and key targets not only in the field of artificial cognitive agents, but also of AI research in general. Given existing solutions for groun
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84286141ec9be70a4f312748673a20a8
https://doi.org/10.1142/s0218194013400020
https://doi.org/10.1142/s0218194013400020