Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Ozkan Kilic"'
Publikováno v:
Frontiers in Psychology, Vol 13 (2022)
A cognitive architecture aimed at cumulative learning must provide the necessary information and control structures to allow agents to learn incrementally and autonomously from their experience. This involves managing an agent's goals as well as cont
Externí odkaz:
https://doaj.org/article/12d0cf6480464397bf35fba4fe363203
Autor:
Savas Citlak, Ozkan Kilic
Publikováno v:
Tehnički Vjesnik, Vol 27, Iss 6, Pp 1741-1747 (2020)
Steganography is a science of hiding data in a medium whereas steganalysis is composed of attacks to find the hidden data in a cover medium. Since hiding data in a text file would disturb the coherence of the text or make it suspicious, systematicall
Externí odkaz:
https://doaj.org/article/09177da0b0854012b07fe2987a2eea42
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c1e9c54cfde642bcdc355c3dfba887b
https://doi.org/10.1109/cvprw56347.2022.00208
https://doi.org/10.1109/cvprw56347.2022.00208
Autor:
Kristinn R. Thórisson, Yuhong Sun, Pei Wang, Jayanth Srinivasa, Ozkan Kilic, Hugo Latapie, Adam Lawrence, Yan Yan, Ramana Rao Kompella, Gaowen Liu
Publikováno v:
Journal of Artificial Intelligence and Consciousness. :205-227
This paper introduces a new metamodel-based knowledge representation that significantly improves autonomous learning and adaptation. While interest in hybrid machine learning / symbolic AI systems leveraging, for example, reasoning and knowledge grap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b168018275623a3c13adc0c78ae39354
https://doi.org/10.1142/s2705078521500119
https://doi.org/10.1142/s2705078521500119
Publikováno v:
TEM Journal, Vol 9, Iss 4, Pp 1384-1395 (2020)
This study investigates whether working memory (WM) capacity affects the understandability of complex diagrams and if so, whether WM training has a positive effect on their comprehensibility. Two experiments were conducted with computer science stude
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e7a09bb02de512106fce75cd18fac3f
http://www.temjournal.com/content/94/TEMJournalNovember2020_1384_1395.pdf
http://www.temjournal.com/content/94/TEMJournalNovember2020_1384_1395.pdf
Publikováno v:
2021 International Conference on Electrical, Computer and Energy Technologies (ICECET).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce2868886014d318673815c6a4ba7920
https://doi.org/10.1109/icecet52533.2021.9698712
https://doi.org/10.1109/icecet52533.2021.9698712
Publikováno v:
Volume: 27, Issue: 5 3837-3851
Turkish Journal of Electrical Engineering and Computer Science
Turkish Journal of Electrical Engineering and Computer Science
Morphological analysis is an important component of natural language processing systems like spelling correction tools, parsers, machine translation systems, and dictionary tools. In this paper, we present TRMOR, a morphological analyzer for Turkish,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ce35fee245c7537b8818766207e79c8
https://doi.org/10.3906/elk-1902-125
https://doi.org/10.3906/elk-1902-125
Publikováno v:
Volume: 8, Issue: 4 125-132
International Journal of Applied Mathematics Electronics and Computers
International Journal of Applied Mathematics Electronics and Computers
In this study we compared support vector machines (SVM), k-nearest neighbor (k-NN), and Gaussian Bayes (GB) algorithms in classification of respiratory diseases with text and audio data. An electronic stethoscope and its software are used to record p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::637c048e116d8a2b3e317baa18c9b322
https://dergipark.org.tr/tr/pub/ijamec/issue/57538/799363
https://dergipark.org.tr/tr/pub/ijamec/issue/57538/799363
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2017, Iss 1, Pp 1-9 (2017)
In the field of medicine, with the introduction of computer systems that can collect and analyze massive amounts of data, many non-invasive diagnostic methods are being developed for a variety of conditions. In this study, our aim is to develop a non
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d963ae5343d38ecb14871dc964445f19
http://link.springer.com/article/10.1186/s13640-017-0213-2
http://link.springer.com/article/10.1186/s13640-017-0213-2
Publikováno v:
2019 4th International Conference on Computer Science and Engineering (UBMK).
With the advancement of technology and the spread of social media, people express their ideas, wishes and thoughts in digital environments through texts, which have all but replaced telephone conversations. These texts have also become a very importa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::533332ef4df07504c07e6397c880ecb6
https://doi.org/10.1109/ubmk.2019.8907198
https://doi.org/10.1109/ubmk.2019.8907198