Zobrazeno 1 - 10
of 14 521
pro vyhledávání: '"Genc SO"'
Publikováno v:
Diabetes, Metabolic Syndrome and Obesity, Vol Volume 17, Pp 4641-4648 (2024)
Serife Ozlem Genc,1 Huseyin Erdal2 1Department of Obstetrics and Gynecology, Sivas Cumhuriyet University Faculty of Medicine, Sivas, Turkey; 2Department of Medical Genetics, Aksaray University Faculty of Medicine, Aksaray, TurkeyCorrespondence: Serif
Externí odkaz:
https://doaj.org/article/522e0953ea064a329f30b8162603a6fe
We present two comprehensive benchmarks to evaluate the performance of language models in coding assistance tasks, covering code writing, debugging, code review, and conceptual understanding. Our main contribution includes two curated datasets: Stack
Externí odkaz:
http://arxiv.org/abs/2412.05288
Autor:
Newlin, Nancy R., Schilling, Kurt, Koudoro, Serge, Chandio, Bramsh Qamar, Kanakaraj, Praitayini, Moyer, Daniel, Kelly, Claire E., Genc, Sila, Chen, Jian, Yang, Joseph Yuan-Mou, Wu, Ye, He, Yifei, Zhang, Jiawei, Zeng, Qingrun, Zhang, Fan, Adluru, Nagesh, Nath, Vishwesh, Pathak, Sudhir, Schneider, Walter, Gade, Anurag, Rathi, Yogesh, Hendriks, Tom, Vilanova, Anna, Chamberland, Maxime, Pieciak, Tomasz, Ciupek, Dominika, Vega, Antonio Tristán, Aja-Fernández, Santiago, Malawski, Maciej, Ouedraogo, Gani, Machnio, Julia, Ewert, Christian, Thompson, Paul M., Jahanshad, Neda, Garyfallidis, Eleftherios, Landman, Bennett A.
Publikováno v:
Machine.Learning.for.Biomedical.Imaging. 2 (2024)
White matter alterations are increasingly implicated in neurological diseases and their progression. International-scale studies use diffusion-weighted magnetic resonance imaging (DW-MRI) to qualitatively identify changes in white matter microstructu
Externí odkaz:
http://arxiv.org/abs/2411.09618
Autor:
Genc, Ozhan, Jardim, Marcos
We study rank 2 $h$-instanton sheaves on projective threefolds. We demonstrate that any orientable rank 2, non-locally free $h$-instanton sheaf with defect 0 on a threefold can be obtained as an elementary transformation of a locally free $h$-instant
Externí odkaz:
http://arxiv.org/abs/2410.22005
Autor:
Lin, Jiacheng, Qian, Kun, Han, Haoyu, Choudhary, Nurendra, Wei, Tianxin, Wang, Zhongruo, Genc, Sahika, Huang, Edward W, Wang, Sheng, Subbian, Karthik, Koutra, Danai, Sun, Jimeng
Graph-structured information offers rich contextual information that can enhance language models by providing structured relationships and hierarchies, leading to more expressive embeddings for various applications such as retrieval, question answeri
Externí odkaz:
http://arxiv.org/abs/2410.11235
Accurate and efficient characterization of nanoparticles (NPs), particularly regarding particle size distribution, is essential for advancing our understanding of their structure-property relationships and facilitating their design for various applic
Externí odkaz:
http://arxiv.org/abs/2410.01213
Training deep neural networks often requires large-scale datasets, necessitating storage and processing on cloud servers due to computational constraints. The procedures must follow strict privacy regulations in domains like healthcare. Split Learnin
Externí odkaz:
http://arxiv.org/abs/2407.08977
Deep metric learning (DML) has shown to be effective for content-based image retrieval (CBIR) in remote sensing (RS). Most of DML methods for CBIR rely on a high number of annotated images to accurately learn model parameters of deep neural networks
Externí odkaz:
http://arxiv.org/abs/2406.10107
Autor:
Genç, Hüseyin Uğur
The quality of social interaction is crucial for psychological and physiological health. Previous research shows that smartphones can negatively impact face-to-face social interactions. Many HCI studies have addressed this by limiting smartphone use
Externí odkaz:
http://arxiv.org/abs/2405.13465
Publikováno v:
\c{S}aziye Bet\"ul \"Ozate\c{s}, Tar{\i}k T{\i}ra\c{s}, Efe Gen\c{c}, and Esma Bilgin Ta\c{s}demir. 2024. Dependency Annotation of Ottoman Turkish with Multilingual BERT. LAW-XVIII, pages 188-196, St. Julians, Malta
This study introduces a pretrained large language model-based annotation methodology for the first de dency treebank in Ottoman Turkish. Our experimental results show that, iteratively, i) pseudo-annotating data using a multilingual BERT-based parsin
Externí odkaz:
http://arxiv.org/abs/2402.14743