Jeong-Dong Kim (Jeongdong Kim)

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 10

Top Topics

Machine Learning

Top Venues

Sensors (Basel, Switzerland)

Bioengineering (Basel, Switzerland)

BMC bioinformatics

International journal of environmental research and public health

This page only lists publications with an associated author ORCID identifier.

Publications

In-Ae Kang, Soualihou Ngnamsie Njimbouom, Jeong-Dong Kim
Optimal Feature Selection-Based Dental Caries Prediction Model Using Machine Learning for Decision Support System. Bioengineering (Basel, Switzerland) 10 (2) (2023)
Taek Lee, Heon-Jeong Lee, Jung-Been Lee, Jeong-Dong Kim
Ensemble Approach to Combining Episode Prediction Models Using Sequential Circadian Rhythm Sensor Data from Mental Health Patients. Sensors (Basel, Switzerland) 23 (20) (2023)
In-Ae Kang, Soualihou Ngnamsie Njimbouom, Jeong-Dong Kim
Optimal Feature Selection-Based Dental Caries Prediction Model Using Machine Learning for Decision Support System. Bioengineering (Basel, Switzerland) 10 (2) (2023)
In-Ae Kang, Soualihou Ngnamsie Njimbouom, Jeong-Dong Kim
Optimal Feature Selection-Based Dental Caries Prediction Model Using Machine Learning for Decision Support System. Bioengineering (Basel, Switzerland) 10 (2) (2023)
Ermal Elbasani, Soualihou Ngnamsie Njimbouom, Tae-Jin Oh, Eung-Hee Kim, Hyun Lee, Jeong-Dong Kim
GCRNN: graph convolutional recurrent neural network for compound-protein interaction prediction. BMC bioinformatics 22 (Suppl 5) (2022)
Soualihou Ngnamsie Njimbouom, Kwonwoo Lee, Jeong-Dong Kim
MMDCP: Multi-Modal Dental Caries Prediction for Decision Support System Using Deep Learning. International journal of environmental research and public health 19 (17) (2022)
Soualihou Ngnamsie Njimbouom, Kwonwoo Lee, Hyun Lee, Jeong-Dong Kim
Predicting Site Energy Usage Intensity Using Machine Learning Models. Sensors (Basel, Switzerland) 23 (1) (2022)
Soualihou Ngnamsie Njimbouom, Kwonwoo Lee, Hyun Lee, Jeong-Dong Kim
Predicting Site Energy Usage Intensity Using Machine Learning Models. Sensors (Basel, Switzerland) 23 (1) (2022)
Soualihou Ngnamsie Njimbouom, Kwonwoo Lee, Hyun Lee, Jeong-Dong Kim
Predicting Site Energy Usage Intensity Using Machine Learning Models. Sensors (Basel, Switzerland) 23 (1) (2022)
Ermal Elbasani, Jeong-Dong Kim
LLAD: Life-Log Anomaly Detection Based on Recurrent Neural Network LSTM. Journal of healthcare engineering 2021 (2021)