Research output per year
Research output per year
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Dive into the research topics where Baekcheol Jang is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Long-Term Influenza Outbreak Forecast Using Time-Precedence Correlation of Web Data
Jang, B., Kim, I. & Kim, J. W., 2023 May 1, In: IEEE Transactions on Neural Networks and Learning Systems. 34, 5, p. 2400-2412 13 p.Research output: Contribution to journal › Article › peer-review
2 Citations (Scopus) -
Survey of Landmark-based Indoor Positioning Technologies
Jang, B., Kim, H. & Kim, J. W., 2023 Jan, In: Information Fusion. 89, p. 166-188 23 p.Research output: Contribution to journal › Article › peer-review
Open Access2 Citations (Scopus) -
Accurate prediction of electricity consumption using a hybrid CNN-LSTM model based on multivariable data
Chung, J. & Jang, B., 2022 Nov, In: PloS one. 17, 11 November, e0278071.Research output: Contribution to journal › Article › peer-review
Open Access2 Citations (Scopus) -
A Multi-Headed Transformer Approach for Predicting the Patient's Clinical Time-Series Variables From Charted Vital Signs
Harerimana, G., Kim, J. W. & Jang, B., 2022, In: IEEE Access. 10, p. 105993-106004 12 p.Research output: Contribution to journal › Article › peer-review
Open Access2 Citations (Scopus) -
Deep learning-based privacy-preserving framework for synthetic trajectory generation
Kim, J. W. & Jang, B., 2022 Oct, In: Journal of Network and Computer Applications. 206, 103459.Research output: Contribution to journal › Article › peer-review
3 Citations (Scopus)
Press/Media
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Yonsei University Researchers Detail New Studies and Findings in the Area of Engineering (Autoregressive Decoder With Extracted Gap Sessions for Sequential/Session-Based Recommendation)
23/8/7
1 item of Media coverage
Press/Media: Press / Media
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Researchers from Yonsei University Discuss Findings in Engineering (Evolution of Deep Learning-Based Sequential Recommender Systems: From Current Trends to New Perspectives)
23/6/23
1 item of Media coverage
Press/Media: Press / Media
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Researchers at Yonsei University Target Mathematics (Petroleum Price Prediction with CNN-LSTM and CNN-GRU Using Skip-Connection)
23/2/24
1 item of Media coverage
Press/Media: Press / Media
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Study Results from Yonsei University Broaden Understanding of Technology (Survey of Landmark-based Indoor Positioning Technologies)
22/12/29
1 item of Media coverage
Press/Media: Press / Media