Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Danuta Rutkowska"'
Autor:
DANUTA RUTKOWSKA
Publikováno v:
TASK Quarterly, Vol 7, Iss 1 (2003)
A perception-based interpretation of evaluation systems is proposed in this paper. Thus, a perception-based approach to create intelligent systems is considered. The evaluation systems can be employed e.g. in order to assess student exams, as well as
Externí odkaz:
https://doaj.org/article/9c932fff019d4d76961d3f0ae59c6461
Autor:
DANUTA RUTKOWSKA, YOICHI HAYASHI
Publikováno v:
TASK Quarterly, Vol 7, Iss 1 (2003)
This paper concerns fuzzy neural networks and fuzzy inference neural networks, which are two different approaches to neuro-fuzzy combinations. The former is a direct fuzzification of artificial neural networks by introducing fuzzy signals and fuzzy w
Externí odkaz:
https://doaj.org/article/06b7177e0001407999a347c54df28eab
Autor:
Danuta Rutkowska, Piotr Duda, Jinde Cao, Leszek Rutkowski, Aleksander Byrski, Maciej Jaworski, Dacheng Tao
Publikováno v:
Information Sciences. 631:346-368
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::754c37958d5f0fb48eb6f92ca2e138e1
https://doi.org/10.1016/j.ins.2023.02.074
https://doi.org/10.1016/j.ins.2023.02.074
Publikováno v:
IEEE Transactions on Cybernetics. 50:1683-1696
In this paper, we propose a recursive variant of the Parzen kernel density estimator (KDE) to track changes of dynamic density over data streams in a nonstationary environment. In stationary environments, well-established traditional KDE techniques h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df971b9ee9d64759155bc7350018da78
https://doi.org/10.1109/tcyb.2018.2877611
https://doi.org/10.1109/tcyb.2018.2877611
Publikováno v:
Artificial Intelligence and Soft Computing ISBN: 9783030878962
ICAISC (2)
ICAISC (2)
In this paper, a new approach to face description is proposed. The linguistic description of human faces in digital pictures is generated within a framework of fuzzy granulation. Fuzzy relations and fuzzy relational rules are applied in order to crea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::857e55846a5b07bc1afc042c1dd76475
https://doi.org/10.1007/978-3-030-87897-9_44
https://doi.org/10.1007/978-3-030-87897-9_44
Autor:
Krzysztof Wiaderek, Danuta Rutkowska
Publikováno v:
Parallel Processing and Applied Mathematics ISBN: 9783030432287
PPAM (1)
PPAM (1)
This paper concerns an application of parallel processing to color digital images characterized by linguistic description. Attributes of the images are considered with regard to fuzzy and rough set theories. Inference is based on the CIE chromaticity
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::484b1550b242d11f67509b259ef86918
https://doi.org/10.1007/978-3-030-43229-4_38
https://doi.org/10.1007/978-3-030-43229-4_38
Publikováno v:
Artificial Intelligence and Soft Computing ISBN: 9783030614003
ICAISC (1)
ICAISC (1)
In this paper, a new approach to face recognition is proposed. The knowledge represented by fuzzy IF-THEN rules, with type-1 and type-2 fuzzy sets, are employed in order to generate the linguistic description of human faces in digital pictures. Then,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0ca6dd105b7876afe0709c314e95656
https://doi.org/10.1007/978-3-030-61401-0_32
https://doi.org/10.1007/978-3-030-61401-0_32
Publikováno v:
Artificial Intelligence and Soft Computing ISBN: 9783030615338
ICAISC (2)
ICAISC (2)
This paper presents a novel recommendation system for investment managers using real data from asset management companies. The recommender can be viewed as a fuzzy expert system. As a matter of fact, this is an explainable recommender that works as a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::73ca2c38b4ba0e1469d42c2987ff33d5
https://doi.org/10.1007/978-3-030-61534-5_37
https://doi.org/10.1007/978-3-030-61534-5_37
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030368074
ICONIP (4)
ICONIP (4)
In the paper, fuzzy recommender systems are proposed based on the novel method for nominal attribute coding. Several flexibility parameters - subjects to learning - are incorporated to their construction, allowing systems to better represent patterns
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a879c7041bddd948c3b43a1916699479
https://doi.org/10.1007/978-3-030-36808-1_78
https://doi.org/10.1007/978-3-030-36808-1_78
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030368012
ICONIP (5)
ICONIP (5)
This paper addresses the issue of data stream mining using the Restricted Boltzmann Machine (RBM). Recently, it was demonstrated that the RBM can be useful as a concept drift detector in data streams with time-changing probability density. In this pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3212054417995ff121f2515f84996794
https://doi.org/10.1007/978-3-030-36802-9_37
https://doi.org/10.1007/978-3-030-36802-9_37