Youngmi Lee

Emailymleejbnu.ackr

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Research activity per year

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

SDG 3 Good Health and Well-being
SDG 9 Industry, Innovation, and Infrastructure
SDG 11 Sustainable Cities and Communities
SDG 17 Partnerships for the Goals

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Dive into the research topics where Youngmi Lee is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

1 Similar Profiles

Transfer Learning Based on N-BEATS in Forecasting Univariate Time Series
Lee, Y. & Kim, G., 2026.03.19, In: IEEE Access.
Research output: Contribution to journal › Journal article › peer-review
생활체육 테니스 경기력 향상을 위한 스포츠심리학 실천적 활용 방안
Lee, Y., 2026.02.2, In: 코칭능력개발지.
Research output: Contribution to journal › Journal article › peer-review
Correction to: Sequential online monitoring for autoregressive time series of counts (Journal of the Korean Statistical Society, (2024), 53, 2, (307-327), 10.1007/s42952-023-00247-y)
Lee, S. & Lee, Y., 2025.06, In: Journal of the Korean Statistical Society. 54, 2, p. 645 1 p.
Research output: Contribution to journal › Comment/debate

Open Access
Deep Learning-Based Recurrence Prediction in HER2-Low Breast Cancer: Comparison of MRI-Alone, Clinicopathologic-Alone, and Combined Models: Comparison of MRI-Alone, Clinicopathologic-Alone, and Combined Models
Choi, S., Lee, Y., Lee, M., Byon, J. H. & Choi, E. J., 2025.08, In: Diagnostics. 15, 15, 1895.
Research output: Contribution to journal › Journal article › peer-review

Open Access
2 Link opens in a new tab Scopus citations
Estimation of Gridded Population with Spatial Downscaling in South Korea
Kim, S., Lee, Y. & Oh, H., 2025.02, In: Sustainability (Switzerland). 17, 4, 1511.
Research output: Contribution to journal › Journal article › peer-review

Open Access
3 Link opens in a new tab Scopus citations

New Engineering Study Results Reported from Jeonbuk National University (Transfer Learning Based on N-BEATS in Forecasting Univariate Time Series)
Kim, G. & Lee, Y.
26.04.15
1 item of Media coverage
Press/Media
Study Results from Jeonbuk National University Medical School in the Area of Breast Cancer Published (Deep Learning-Based Recurrence Prediction in HER2-Low Breast Cancer: Comparison of MRI-Alone, Clinicopathologic-Alone, and Combined Models)
Choi, E. J. & Lee, Y.
25.08.21
1 item of Media coverage
Press/Media

Youngmi Lee

Personal profile

Expertise related to UN Sustainable Development Goals

Fingerprint

Collaborations and top research areas from the last five years

Dive into details

Transfer Learning Based on N-BEATS in Forecasting Univariate Time Series

생활체육 테니스 경기력 향상을 위한 스포츠심리학 실천적 활용 방안

Correction to: Sequential online monitoring for autoregressive time series of counts (Journal of the Korean Statistical Society, (2024), 53, 2, (307-327), 10.1007/s42952-023-00247-y)

Deep Learning-Based Recurrence Prediction in HER2-Low Breast Cancer: Comparison of MRI-Alone, Clinicopathologic-Alone, and Combined Models: Comparison of MRI-Alone, Clinicopathologic-Alone, and Combined Models

Estimation of Gridded Population with Spatial Downscaling in South Korea

New Engineering Study Results Reported from Jeonbuk National University (Transfer Learning Based on N-BEATS in Forecasting Univariate Time Series)

Study Results from Jeonbuk National University Medical School in the Area of Breast Cancer Published (Deep Learning-Based Recurrence Prediction in HER2-Low Breast Cancer: Comparison of MRI-Alone, Clinicopathologic-Alone, and Combined Models)

Youngmi Lee

Personal profile

Expertise related to UN Sustainable Development Goals

Fingerprint

Collaborations and top research areas from the last five years

Research output

Transfer Learning Based on N-BEATS in Forecasting Univariate Time Series

생활체육 테니스 경기력 향상을 위한 스포츠심리학 실천적 활용 방안

Correction to: Sequential online monitoring for autoregressive time series of counts (Journal of the Korean Statistical Society, (2024), 53, 2, (307-327), 10.1007/s42952-023-00247-y)

Deep Learning-Based Recurrence Prediction in HER2-Low Breast Cancer: Comparison of MRI-Alone, Clinicopathologic-Alone, and Combined Models: Comparison of MRI-Alone, Clinicopathologic-Alone, and Combined Models

Estimation of Gridded Population with Spatial Downscaling in South Korea

Press/Media

New Engineering Study Results Reported from Jeonbuk National University (Transfer Learning Based on N-BEATS in Forecasting Univariate Time Series)

Study Results from Jeonbuk National University Medical School in the Area of Breast Cancer Published (Deep Learning-Based Recurrence Prediction in HER2-Low Breast Cancer: Comparison of MRI-Alone, Clinicopathologic-Alone, and Combined Models)