Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Hyungjin Ko"'
Autor:
Hyungjin Ko, Jaewook Lee
Publikováno v:
Applied Economics Letters. :1-8
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32388d8b29997a45cce4ebfd1cdac44a
https://doi.org/10.1080/13504851.2023.2182402
https://doi.org/10.1080/13504851.2023.2182402
Publikováno v:
Applied Economics Letters. :1-8
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c2b98ce19a392be58b213c4170e32ee0
https://doi.org/10.1080/13504851.2022.2120952
https://doi.org/10.1080/13504851.2022.2120952
Publikováno v:
Information Sciences. 581:155-178
In recent years, the issue of fairness has become important in the field of machine learning . In clustering problems , fairness is defined in terms of consistency in that the balance ratio of data with different sensitive attribute values remains co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::59b58079346a9467b9d15549d00e3869
https://doi.org/10.1016/j.ins.2021.09.010
https://doi.org/10.1016/j.ins.2021.09.010
Publikováno v:
Finance Research Letters. 54:103794
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0f17dbbacd5b459eeca1e204efe2e31
https://doi.org/10.1016/j.frl.2023.103794
https://doi.org/10.1016/j.frl.2023.103794
Publikováno v:
Finance Research Letters. 47:102784
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b6dd8a9867aab72b51fa7491487216fa
https://doi.org/10.1016/j.frl.2022.102784
https://doi.org/10.1016/j.frl.2022.102784
Publikováno v:
Sustainability
Volume 11
Issue 12
Sustainability, Vol 11, Iss 12, p 3489 (2019)
Volume 11
Issue 12
Sustainability, Vol 11, Iss 12, p 3489 (2019)
Developing a robust and sustainable system is an important problem in which deep learning models are used in real-world applications. Ensemble methods combine diverse models to improve performance and achieve robustness. The analysis of time series d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::196dcbd83e1b99195a0aa62c75ee94ac
https://doi.org/10.3390/su11123489
https://doi.org/10.3390/su11123489
Publikováno v:
CVPR
We propose a high-level concept word detector that can be integrated with any video-to-language models. It takes a video as input and generates a list of concept words as useful semantic priors for language generation models. The proposed word detect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b9bc55e54c063a2c18f26e54a2483019
