Digital Library
Search: "[ keyword: Machine Learning ]" (54)
Development of an AutoML Web Platform for Text Classification Automation
Ha-Yoon Song, Jeon-Seong Kang, Beom-Joon Park, Junyoung Kim, Kwang-Woo Jeon, Junwon Yoon, Hyun-Joon Chung The Transactions of the Korea Information Processing Society,
Vol. 13, No. 10, pp. 537-544,
Oct.
2024
https://doi.org/10.3745/TKIPS.2024.13.10.537
Keywords: Text Classification, Automated Machine Learning (AutoML), web platform, Natural Language Processing, H2O

Keywords: Text Classification, Automated Machine Learning (AutoML), web platform, Natural Language Processing, H2O
Detection of Abnormal CAN Messages Using Periodicity and Time Series Analysis
Se-Rin Kim, Ji-Hyun Sung, Beom-Heon Youn, Harksu Cho The Transactions of the Korea Information Processing Society,
Vol. 13, No. 9, pp. 395-403,
Sep.
2024
https://doi.org/10.3745/TKIPS.2024.13.9.395
Keywords: CAN, GRU, Anomaly Detection, Time Series, Machine Learning

Keywords: CAN, GRU, Anomaly Detection, Time Series, Machine Learning
A Distinction Technology for Harmful Web Documents by Rates
Young Soo Kim , Taek Yong Nam , Dong Ho Won The KIPS Transactions:PartC,
Vol. 13, No. 7, pp. 859-864,
Dec.
2006
10.3745/KIPSTC.2006.13.7.859

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

Keywords: Cervical cancer, Survival Prediction Model, Cox Proportional Hazards, Machine Learning, Deep Neural Networks, ResNet
Evaluating the Efficiency of Models for Predicting Seismic Building Damage
Chae Song Hwa, Yujin Lim The Transactions of the Korea Information Processing Society,
Vol. 13, No. 5, pp. 217-220,
May.
2024
https://doi.org/10.3745/TKIPS.2024.13.5.217
Keywords: Earthquake, Earthquake Damage Prediction, Machine Learning(ml)

Keywords: Earthquake, Earthquake Damage Prediction, Machine Learning(ml)
Improving the Classification Accuracy Using Unlabeled Data: A Naive Bayesian Case
Chang Hwan Lee The KIPS Transactions:PartB ,
Vol. 13, No. 4, pp. 457-462,
Aug.
2006
10.3745/KIPSTB.2006.13.4.457

Accelerating the EM Algorithm through Selective Sampling for Naive Bayes Text Classifier
Jae Young Chang , Han Joon Kim The KIPS Transactions:PartD,
Vol. 13, No. 3, pp. 369-376,
Jun.
2006
10.3745/KIPSTD.2006.13.3.369

Systematic Research on Privacy-Preserving Distributed Machine Learning
Min Seob Lee, Young Ah Shin, Ji Young Chun The Transactions of the Korea Information Processing Society,
Vol. 13, No. 2, pp. 76-90,
Feb.
2024
https://doi.org/10.3745/TKIPS.2024.13.2.76
Keywords: Distributed Machine Learning, Privacy-Preserving Technologies, Federated learning, Swarm Learning

Keywords: Distributed Machine Learning, Privacy-Preserving Technologies, Federated learning, Swarm Learning
Learning Rules for Identifying Hypernyms in Machine Readable Dictionaries
Seon Hwa Choi , Hyuk Ro Park The KIPS Transactions:PartB ,
Vol. 13, No. 2, pp. 171-178,
Apr.
2006
10.3745/KIPSTB.2006.13.2.171

Performance Improvement of Spam Filtering Using User Actions
Jae Hoon Kim , Kang Min Kim The KIPS Transactions:PartB ,
Vol. 13, No. 2, pp. 163-170,
Apr.
2006
10.3745/KIPSTB.2006.13.2.163
