Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Aykut Koç"'
Publikováno v:
IET Computer Vision, Vol 12, Iss 8, Pp 1121-1132 (2018)
Recent advances in large‐scale image and video analysis have empowered the potential capabilities of visual surveillance systems. In particular, deep learning‐based approaches bring in substantial benefits in solving certain computer vision probl
Externí odkaz:
https://doaj.org/article/6935e6e212764a508192d4c63b965c70
Autor:
Aykut Koç
Publikováno v:
Uludağ University Journal of The Faculty of Engineering, Vol 23, Iss 3, Pp 117-132 (2018)
Using phase detection in Surface Plasmon Resonance (SPR) sensing has potential improvements to the conventional intensity detection based SPR. Other than the phase detection and intensity detection based SPR in the visible range of the spectrum, empl
Externí odkaz:
https://doaj.org/article/5f0ef8b248cf4c1fad839869fe9d7fcd
Autor:
Aykut Koç, Veysel Yücesoy
Publikováno v:
Uludağ University Journal of The Faculty of Engineering, Vol 23, Iss 1, Pp 31-40 (2018)
This study revisits the problem of maximizing the performance of mathematical word representations for a given task. It is aimed to improve performance in analogy and similarity tasks by suggesting innovative weights instead of the counting weights u
Externí odkaz:
https://doaj.org/article/3e763673aed2404fb475327e93878492
Publikováno v:
Signal, Image and Video Processing
Hate speech against individuals or communities with different backgrounds is a major problem in online social networks. The domain of hate speech has spread to various topics, including race, religion, and gender. Although there are many efforts for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b8ced97d9b02d123d3d698b67e341cb
https://hdl.handle.net/11693/111608
https://hdl.handle.net/11693/111608
Publikováno v:
2022 16th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8910a50f6fd4608ba285439d3b0a9067
https://doi.org/10.1109/sitis57111.2022.00087
https://doi.org/10.1109/sitis57111.2022.00087
Publikováno v:
Digital Signal Processing. 137:104045
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4e8f2f6f5948c8a5749fdf682e5f26f
https://doi.org/10.1016/j.dsp.2023.104045
https://doi.org/10.1016/j.dsp.2023.104045
Publikováno v:
Natural Language Engineering
Word embeddings have become important building blocks that are used profoundly in natural language processing (NLP). Despite their several advantages, word embeddings can unintentionally accommodate some gender- and ethnicity-based biases that are pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd3f44896156426fe16a9c102217712f
https://hdl.handle.net/11693/111389
https://hdl.handle.net/11693/111389
Publikováno v:
Information Processing & Management
We propose bidirectional imparting or BiImp, a generalized method for aligning embedding dimensions with concepts during the embedding learning phase. While preserving the semantic structure of the embedding space, BiImp makes dimensions interpretabl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cdaa2f425ace64a800a0774668215cae
https://hdl.handle.net/11693/111493
https://hdl.handle.net/11693/111493
Autor:
Zhao, Chuanjun1 (AUTHOR) zhaochj@sxufe.edu.cn, Wu, Meiling1 (AUTHOR) wml@stu.sxufe.edu.cn, Yang, Xinyi1 (AUTHOR) 202081203004@stu.sxufe.edu.cn, Zhang, Wenyue1 (AUTHOR) 378944128@qq.com, Zhang, Shaoxia1 (AUTHOR) 20211039@sxufe.edu.cn, Wang, Suge2 (AUTHOR) wsg@sxu.edu.cn, Li, Deyu2 (AUTHOR) lidy@sxu.edu.cn
Publikováno v:
ACM Computing Surveys. Jul2024, Vol. 56 Issue 7, p1-37. 37p.