Zobrazeno 1 - 10
of 152
pro vyhledávání: '"Murat ONUR"'
Autor:
Mehmet Akköse, Elif Merve Çınar, Murat Onur Yazlık, Ufuk Kaya, Yadigar Polat, Çiğdem Çebi, Ceyhan Özbeyaz, Mehmet Rıfat Vural
Publikováno v:
Veterinary Medicine and Science, Vol 10, Iss 1, Pp n/a-n/a (2024)
Abstract Background Reported as being expressed by mono‐ and binucleate placental cells, pregnancy‐associated glycoproteins (PAGs) are released into the blood circulation from the ruminant placenta. Circulating gestational PAGs levels may differ
Externí odkaz:
https://doaj.org/article/e7a6f938836b4d9e92604860e19c2ddc
Autor:
Ufuk Kaya, Murat Onur Yazlık, Hüseyin Özkan, Baran Çamdeviren, Güven Güngör, Sevda Dalkıran, Hasan Hüseyin Keçeli, İrem Karaaslan, Akın Yakan, Aytaç Akçay
Publikováno v:
Mljekarstvo, Vol 73, Iss 3, Pp 187-195 (2023)
The aims of this study were to establish a cut-off point by evaluating the usability of the somatic cell count (SCC) and milk components (fat, fat-free dry matter (FFDM), protein, lactose, freezing point, electrical conductivity and pH) to observe th
Externí odkaz:
https://doaj.org/article/21d4636abf3544779333ba3fb5bcf444
Publikováno v:
Eurasian Journal of Veterinary Sciences, Vol 38, Iss 3, Pp 190-198 (2022)
Aim: The aim of this study was to translate the cat/dog owner relationship scale (C/DORS), which can be used to assess the quality of relationships between dogs and their owners, into Turkish and to evaluate relationship quality across different demo
Externí odkaz:
https://doaj.org/article/3c66da3c78924c60b93e2d4ad01bcc73
Continual Learning (CL) methods usually learn from all available data. However, this is not the case in human cognition which efficiently focuses on key experiences while disregarding the redundant information. Similarly, not all data points in a dat
Externí odkaz:
http://arxiv.org/abs/2410.17715
Publikováno v:
Veterinární Medicína, Vol 66, Iss 1, Pp 40-44 (2021)
A 2-year-old multiparous (Case 1) and a 2.5-year-old nulliparous (Case 2) Djungarian hamster each presented with a history of a prolapsed mass from the vulva. A partial uterine prolapse was diagnosed in both cases, according to the clinical and diagn
Externí odkaz:
https://doaj.org/article/01a4b64486ae4611a6203635aaa52035
Autor:
Singh, Prabhant, Gijsbers, Pieter, Yildirim, Murat Onur, Gok, Elif Ceren, Vanschoren, Joaquin
We propose an AutoML system that enables model selection on clustering problems by leveraging optimal transport-based dataset similarity. Our objective is to establish a comprehensive AutoML pipeline for clustering problems and provide recommendation
Externí odkaz:
http://arxiv.org/abs/2407.11286
Comparison of Machine Learning Models on Performance of Single- and Dual-Type Electrochromic Devices
Publikováno v:
ACS Omega, Vol 5, Iss 36, Pp 23257-23267 (2020)
Externí odkaz:
https://doaj.org/article/05c9ef5a8280442ca08f2cb7e3fbdf5f
Autor:
MURAT ONUR YAZLIK, KEMAL TUNA OLGAC, HATICE ESRA COLAKOGLU, UFUK KAYA, MERVE MENEKSE YILDIRIM, BULENT BAS
Publikováno v:
Indian Journal of Animal Sciences, Vol 90, Iss 10 (2021)
The objective of this study was to evaluate the effects of injectable selenium, vitamin E and vitamin B1 compounds on serum metabolic profile and pregnancy rates (PR) during the non-breeding season in Merino ewes that were synchronized with progester
Externí odkaz:
https://doaj.org/article/61877b286b23412589e6b1f165e741ae
Autor:
Yildirim, Murat Onur, Yildirim, Elif Ceren Gok, Mocanu, Decebal Constantin, Vanschoren, Joaquin
Class incremental learning (CIL) in an online continual learning setting strives to acquire knowledge on a series of novel classes from a data stream, using each data point only once for training. This is more realistic compared to offline modes, whe
Externí odkaz:
http://arxiv.org/abs/2403.14684
Autor:
Yildirim, Murat Onur, Yildirim, Elif Ceren Gok, Sokar, Ghada, Mocanu, Decebal Constantin, Vanschoren, Joaquin
Continual learning (CL) refers to the ability of an intelligent system to sequentially acquire and retain knowledge from a stream of data with as little computational overhead as possible. To this end; regularization, replay, architecture, and parame
Externí odkaz:
http://arxiv.org/abs/2308.14831