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Search: "[ keyword: prediction ]" (75)
A Protein Sequence Prediction Method by Mining Sequence Data
Sun I Cho , Do Heon Lee , Kwang Hwi Cho , Yong Gwan Won , Byoung Ki Kim The KIPS Transactions:PartD,
Vol. 10, No. 2, pp. 261-266,
Apr.
2003
10.3745/KIPSTD.2003.10.2.261
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
Prediction of Forest Fire Hazardous Area Using Predictive Spatial Data Mining
Jong Gyu Han , Yeon Kwang Yeon , Kwang Hoon Chi , Keun Ho Ryu The KIPS Transactions:PartD,
Vol. 9, No. 6, pp. 1119-1126,
Dec.
2002
10.3745/KIPSTD.2002.9.6.1119
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
Design of A Moving Object Management System for Tracking Vehicle Location
Yoon Ae Ahn , Dong Ho Kim , Keun Ho Ryu The KIPS Transactions:PartD,
Vol. 9, No. 5, pp. 827-836,
Oct.
2002
10.3745/KIPSTD.2002.9.5.827
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
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://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
Keywords: Cervical cancer, Survival Prediction Model, Cox Proportional Hazards, Machine Learning, Deep Neural Networks, ResNet
Software Defect Prediction Based on SAINT
Sriman Mohapatra, Eunjeong Ju, Jeonghwa Lee, Duksan Ryu The Transactions of the Korea Information Processing Society,
Vol. 13, No. 5, pp. 236-242,
May.
2024
https://doi.org/10.3745/TKIPS.2024.13.5.236
Keywords: Transformer, SAINT, Software Defect Prediction
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
Keywords: Transformer, SAINT, Software Defect Prediction
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Publications
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Vol. 13, 2024
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Vol. 12, 2023
- Vol. 12, No. 12 (Dec. 2023)
- Vol. 12, No. 11 (Nov. 2023)
- Vol. 12, No. 10 (Oct. 2023)
- Vol. 12, No. 9 (Sep. 2023)
- Vol. 12, No. 8 (Aug. 2023)
- Vol. 12, No. 7 (Jul. 2023)
- Vol. 12, No. 6 (Jun. 2023)
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- Vol. 12, No. 3 (Mar. 2023)
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- Vol. 12, No. 1 (Jan. 2023)
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Vol. 11, 2022
- Vol. 11, No. 12 (Dec. 2022)
- Vol. 11, No. 11 (Nov. 2022)
- Vol. 11, No. 10 (Oct. 2022)
- Vol. 11, No. 9 (Sep. 2022)
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Vol. 10, 2021
- Vol. 10, No. 12 (Dec. 2021)
- Vol. 10, No. 11 (Nov. 2021)
- Vol. 10, No. 10 (Oct. 2021)
- Vol. 10, No. 9 (Sep. 2021)
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Vol. 9, 2020
- Vol. 9, No. 12 (Dec. 2020)
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Vol. 8, 2019
- Vol. 8, No. 12 (Dec. 2019)
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Vol. 7, 2018
- Vol. 7, No. 12 (Dec. 2018)
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Vol. 6, 2017
- Vol. 6, No. 12 (Dec. 2017)
- Vol. 6, No. 11 (Nov. 2017)
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Vol. 5, 2016
- Vol. 5, No. 12 (Dec. 2016)
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Vol. 4, 2015
- Vol. 4, No. 12 (Dec. 2015)
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- Vol. 4, No. 1 (Jan. 2015)
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Vol. 3, 2014
- Vol. 3, No. 12 (Dec. 2014)
- Vol. 3, No. 11 (Nov. 2014)
- Vol. 3, No. 10 (Oct. 2014)
- Vol. 3, No. 9 (Sep. 2014)
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- Vol. 3, No. 1 (Jan. 2014)
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Vol. 2, 2013
- Vol. 2, No. 12 (Dec. 2013)
- Vol. 2, No. 11 (Nov. 2013)
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- Vol. 2, No. 1 (Jan. 2013)
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Vol. 1, 2012
Old Journals
Indexing
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).