Zobrazeno 1 - 10
of 31
pro vyhledávání: '"ÖZTÜRK, Ekrem"'
Autor:
Öztürk, Ekrem, Ferreira, Fabio, Jomaa, Hadi S., Schmidt-Thieme, Lars, Grabocka, Josif, Hutter, Frank
Publikováno v:
International Conference on Machine Learning 2022
Given a new dataset D and a low compute budget, how should we choose a pre-trained model to fine-tune to D, and set the fine-tuning hyperparameters without risking overfitting, particularly if D is small? Here, we extend automated machine learning (A
Externí odkaz:
http://arxiv.org/abs/2206.08476
Autor:
Baz, Adrian El, Ullah, Ihsan, Alcobaça, Edesio, Carvalho, André C. P. L. F., Chen, Hong, Ferreira, Fabio, Gouk, Henry, Guan, Chaoyu, Guyon, Isabelle, Hospedales, Timothy, Hu, Shell, Huisman, Mike, Hutter, Frank, Liu, Zhengying, Mohr, Felix, Öztürk, Ekrem, van Rijn, Jan N., Sun, Haozhe, Wang, Xin, Zhu, Wenwu
Publikováno v:
NeurIPS 2021 Competition and Demonstration Track, Dec 2021, On-line, United States
Although deep neural networks are capable of achieving performance superior to humans on various tasks, they are notorious for requiring large amounts of data and computing resources, restricting their success to domains where such resources are avai
Externí odkaz:
http://arxiv.org/abs/2206.08138
Autor:
Öztürk, Ekrem, Arıkan, Hüseyin
Publikováno v:
In Optics and Laser Technology January 2023 157
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Baz, Adrian El, Ullah, Ihsan, Alcobaça, Edesio, Carvalho, André C. P. L. F., Chen, Hong, Ferreira, Fabio, Gouk, Henry, Guan, Chaoyu, Guyon, Isabelle, Hospedales, Timothy, Hu, Shell, Huisman, Mike, Hutter, Frank, Liu, Zhengying, Mohr, Felix, Öztürk, Ekrem, van Rijn, Jan N., Sun, Haozhe, Wang, Xin, Zhu, Wenwu
Publikováno v:
NeurIPS 2021 Competition and Demonstration Track
NeurIPS 2021 Competition and Demonstration Track, Dec 2021, On-line, United States
NeurIPS 2021 Competition and Demonstration Track, Dec 2021, On-line, United States
Although deep neural networks are capable of achieving performance superior to humans on various tasks, they are notorious for requiring large amounts of data and computing resources, restricting their success to domains where such resources are avai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ead95b06bacdb31cea801d7d8374b47b
https://hal.science/hal-03688638/document
https://hal.science/hal-03688638/document
Publikováno v:
Ataturk University Journal of Veterinary Sciences. Oct2018, Vol. 13 Issue 2, p159-164. 6p.
Investigation of Mechanical Properties of Tailor-Welded Blanks' Fusion Zone in Micro and Macro Scale
Autor:
Öztürk, Ekrem
Doktora Tezi
Modern otomotiv endüstrisi, malzemelerin işlenmesine ve hafif malzemelere yeni teknolojiler uygulayarak araçların ağırlığını ve dolayısıyla yakıt tüketimini azaltmaktadırlar. Bu nedenle beyaz gövdede, sadece daha yü
Modern otomotiv endüstrisi, malzemelerin işlenmesine ve hafif malzemelere yeni teknolojiler uygulayarak araçların ağırlığını ve dolayısıyla yakıt tüketimini azaltmaktadırlar. Bu nedenle beyaz gövdede, sadece daha yü
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______9479::03a8353e407efe2df52ba39471e62de8
https://hdl.handle.net/20.500.12452/8024
https://hdl.handle.net/20.500.12452/8024
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
International Journal of Advanced Manufacturing Technology. Feb2017, Vol. 88 Issue 9-12, p2443-2459. 17p. 1 Color Photograph, 5 Diagrams, 7 Charts, 12 Graphs.
In the study, experiments were conducted to determine effects of green tea oil (Camellia sinensis) on the growth rate, feed utilization and hematological parameters of rainbow trout (Oncorhynchus mykiss). Fish (76.25±2.75 g) were fed diets supplemen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4572::68fad1f7c70dd84390067477a1f2cd3e
https://hdl.handle.net/20.500.12406/616
https://hdl.handle.net/20.500.12406/616