Zobrazeno 1 - 10
of 307
pro vyhledávání: '"Jacek Mańdziuk"'
Autor:
Maciej Żelaszczyk, Jacek Mańdziuk
Publikováno v:
Information Fusion. 93:302-329
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::922e3f613661ccb1b857df1a664c4404
https://doi.org/10.1016/j.inffus.2023.01.008
https://doi.org/10.1016/j.inffus.2023.01.008
Autor:
Mikołaj Małkiński, Jacek Mańdziuk
Publikováno v:
Information Fusion. 91:713-736
Visual Reasoning (AVR) problems are commonly used to approximate human intelligence. They test the ability of applying previously gained knowledge, experience and skills in a completely new setting, which makes them particularly well-suited for this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::58dc2ba181e4a72845f5af013991fc31
https://doi.org/10.1016/j.inffus.2022.11.011
https://doi.org/10.1016/j.inffus.2022.11.011
Autor:
Dominik Lewy, Jacek Mańdziuk
Publikováno v:
Journal of Artificial Intelligence and Soft Computing Research. 13:75-92
Real life applications of deep learning (DL) are often limited by the lack of expert labeled data required to effectively train DL models. Creation of such data usually requires substantial amount of time for manual categorization, which is costly an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::48e4c4ca6597b6c6b248ac2652726791
https://doi.org/10.2478/jaiscr-2023-0005
https://doi.org/10.2478/jaiscr-2023-0005
Spike-Timing-Dependent Plasticity With Activation-Dependent Scaling for Receptive Fields Development
Autor:
Marcin Białas, Jacek Mańdziuk
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. 33:5215-5228
Spike-timing-dependent plasticity (STDP) is one of the most popular and deeply biologically motivated forms of unsupervised Hebbian-type learning. In this article, we propose a variant of STDP extended by an additional activation-dependent scale fact
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9edcb2dd1996d7957293154248630d53
https://doi.org/10.1109/tnnls.2021.3069683
https://doi.org/10.1109/tnnls.2021.3069683
Publikováno v:
Artificial Intelligence and Soft Computing ISBN: 9783031234910
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::285e486210251ab29e133a6ed31c9fd2
https://doi.org/10.1007/978-3-031-23492-7_20
https://doi.org/10.1007/978-3-031-23492-7_20
Publikováno v:
Communications in Computer and Information Science ISBN: 9789819916382
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b9fd4fcb885706865f3b34a4bc0fa5f6
https://doi.org/10.1007/978-981-99-1639-9_48
https://doi.org/10.1007/978-981-99-1639-9_48
Autor:
Mateusz Zaborski, Jacek Mańdziuk
Publikováno v:
Artificial Intelligence and Soft Computing ISBN: 9783031234910
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::50330ac7a92b1a3336f15b8fd037c064
https://doi.org/10.1007/978-3-031-23492-7_23
https://doi.org/10.1007/978-3-031-23492-7_23
Autor:
Stanisław Kaźmierczak, Zofia Juszka, Rafał Grzeszczuk, Marcin Kurdziel, Vaska Vandevska-Radunovic, Piotr Fudalej, Jacek Mańdziuk
Publikováno v:
Communications in Computer and Information Science ISBN: 9789819916474
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ac5f5cfdc79974a2ea2cfa806212284
https://doi.org/10.1007/978-981-99-1648-1_33
https://doi.org/10.1007/978-981-99-1648-1_33
Publikováno v:
International Symposium on Intelligent Informatics ISBN: 9789811980930
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0be0be2533d097a4d7fe1ef1f0e661ba
https://doi.org/10.1007/978-981-19-8094-7_2
https://doi.org/10.1007/978-981-19-8094-7_2
Autor:
Jacek Mańdziuk, Hussein A. Abbass
Publikováno v:
IEEE Computational Intelligence Magazine. 16:5-8
Presents information on the 2021 IEEE Congress on Evolutionary Computation (IEEE CEC 2021).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b51d536e6bdb722556b88013c0667d0
https://doi.org/10.1109/mci.2021.3108355
https://doi.org/10.1109/mci.2021.3108355