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Search: "[ keyword: Deep Neural Networks ]" (2)
Cox Model Improvement Using Residual Blocks in Neural Networks: A Study on the Predictive Model of Cervical Cancer Mortality
Nang Kyeong Lee, Joo Young Kim, Ji Soo Tak, Hyeong Rok Lee, Hyun Ji Jeon, Jee Myung Yang, Seung Won Lee The Transactions of the Korea Information Processing Society,
Vol. 13, No. 6, pp. 260-268,
Jun.
2024
https://doi.org/10.3745/TKIPS.2024.13.6.260
Keywords: Cervical cancer, Survival Prediction Model, Cox Proportional Hazards, Machine Learning, Deep Neural Networks, ResNet
https://doi.org/10.3745/TKIPS.2024.13.6.260
Keywords: Cervical cancer, Survival Prediction Model, Cox Proportional Hazards, Machine Learning, Deep Neural Networks, ResNet
Single Document Extractive Summarization Based on Deep Neural Networks Using Linguistic Analysis Features
Gyoung Ho Lee, Kong Joo Lee KIPS Transactions on Software and Data Engineering,
Vol. 8, No. 8, pp. 343-348,
Aug.
2019
https://doi.org/10.3745/KTSDE.2019.8.8.343
Keywords: Single Document Summarization, Extractive Summarization, Linguistic Analysis Features, Deep Neural Networks
https://doi.org/10.3745/KTSDE.2019.8.8.343
Keywords: Single Document Summarization, Extractive Summarization, Linguistic Analysis Features, Deep Neural Networks
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Vol. 13, 2024
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Vol. 12, 2023
- Vol. 12, No. 12 (Dec. 2023)
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Vol. 11, 2022
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Vol. 10, 2021
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Vol. 9, 2020
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Vol. 8, 2019
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Vol. 7, 2018
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Vol. 6, 2017
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Vol. 5, 2016
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Vol. 4, 2015
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Vol. 3, 2014
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Vol. 2, 2013
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Vol. 1, 2012
Old Journals
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All publications of KTSDE is indexed in DOI, EBSCO, Google Scholar, Crossref, and CrossCheck.
KTSDE is also selected as the Journal for Accreditation by NRF (National Research Foundation of Korea).
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