Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Paweł Cichosz"'
Autor:
Paweł Cichosz
Publikováno v:
Applied Sciences, Vol 14, Iss 17, p 7945 (2024)
In several applications of text classification, training document labels are provided by human evaluators, and therefore, gathering sufficient data for model creation is time consuming and costly. The labeling time and effort may be reduced by active
Externí odkaz:
https://doaj.org/article/131342115a0a40a485ed7d31429cb55f
Publikováno v:
Applied Sciences, Vol 13, Iss 8, p 4657 (2023)
This paper examines applying machine learning to the assessment of the quality of the transmission in optical networks. The motivation for research into this problem derives from the fact that the accurate assessment of transmission quality is key to
Externí odkaz:
https://doaj.org/article/d58db81384ba441ab3031c3ee9b304bf
Publikováno v:
Entropy, Vol 23, Iss 11, p 1504 (2021)
Applying machine learning algorithms for assessing the transmission quality in optical networks is associated with substantial challenges. Datasets that could provide training instances tend to be small and heavily imbalanced. This requires applying
Externí odkaz:
https://doaj.org/article/7ed8b64142234126b3d69029095a2866
Publikováno v:
Entropy, Vol 23, Iss 1, p 7 (2020)
Increasing demand in the backbone Dense Wavelength Division (DWDM) Multiplexing network traffic prompts an introduction of new solutions that allow increasing the transmission speed without significant increase of the service cost. In order to achiev
Externí odkaz:
https://doaj.org/article/055b1b92244c4f73b482e9d228180208
Autor:
Paweł Cichosz
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 9, Iss 7, p 459 (2020)
Geographical information systems have found successful applications to prediction and decision-making in several areas of vital importance to contemporary society. This article demonstrates how they can be combined with machine learning algorithms to
Externí odkaz:
https://doaj.org/article/0c97cdaee30a49d0833037e8350ffdda
Publikováno v:
PRZEGLĄD POLICYJNY. 136:60-78
Blockchain is one of the most revolutionary technologies of the 21st century, which is still under development, and whose potential is not yet fully exploited. Although blockchain gained importance in 2009, scientists and entrepreneurs are still at a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a16a6ed3717bb6603713e1beaa167f26
https://doi.org/10.5604/01.3001.0014.1135
https://doi.org/10.5604/01.3001.0014.1135
Autor:
Paweł Cichosz
Publikováno v:
Natural Language Engineering. 26:551-578
Anomaly detection can be seen as an unsupervised learning task in which a predictive model created on historical data is used to detect outlying instances in new data. This work addresses possibly promising but relatively uncommon application of anom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1595fef06e918e95a5ae180ef5a94e0f
https://doi.org/10.1017/s1351324920000066
https://doi.org/10.1017/s1351324920000066
Publikováno v:
SoftCOM
Telecommunication optical networks grow steadily in response to increasing traffic. Thus, to accommodate a steady traffic growth, network operators need to increase the number of active optical channels and reconfigure networks constantly. These task
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::720d2a619aaa4bdc96e10e6dfaddcace
https://doi.org/10.23919/softcom52868.2021.9559095
https://doi.org/10.23919/softcom52868.2021.9559095
Publikováno v:
CEC
This paper investigates the suitability of several metaheuristic algorithms for the problem of compressor schedule optimization for a refrigerated warehouse. A realistic simulator of such a warehouse is used, based on domain knowledge, and tuned to m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0250d229416906b7bbf05788dddc5f8f
https://doi.org/10.1109/cec45853.2021.9504924
https://doi.org/10.1109/cec45853.2021.9504924
Autor:
Paweł Cichosz
Publikováno v:
International Journal of Applied Mathematics and Computer Science, Vol 28, Iss 4, Pp 787-801 (2018)
Despite the rapid growth of other types of social media, Internet discussion forums remain a highly popular communication channel and a useful source of text data for analyzing user interests and sentiments. Being suited to richer, deeper, and longer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69f07759a09d249337293643d6d4430a
https://doaj.org/article/e923463363474591a3882aede16a2ff6
https://doaj.org/article/e923463363474591a3882aede16a2ff6