Daesoo Lee
About
For my Ph.D. at NTNU, I work on an interdisciplinary project, ML4ITS, and my supervisors are Prof. Erlend Aune and Dr. Sara Malacarne. My research interests regarding the project are unsupervised, semi-supervised, and transfer learning for irregular time series with the following project tasks: imputation/denoising, synthetic data generation, forecasting/classification, and anomaly detection.
I am just a curious person by nature, and love learning. Therefore, my research interest is not limited to the project tasks. I am always open to learning new things from other domains since I often get original ideas from them.
I hope to get chances to share my ideas and listen to other people's ideas and learn from them.
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For my research work, please see Google Scholar.
Publications
2022
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Lee, Daesoo;
Aune, Erlend;
Langet, Nadege;
Eidsvik, Jo.
(2022)
Ensemble and Self-supervised Learning for Improved Classification of Seismic Signals from the Åknes Rockslope.
Mathematical Geosciences.
Academic literature review
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Lee, Daesoo;
Lee, Seungjae;
Lee, Jaeyong.
(2022)
Standardization in building an ANN-based mooring line top tension prediction system.
International Journal of Naval Architecture and Ocean Engineering.
volum 14.
Academic article
Journal publications
-
Lee, Daesoo;
Aune, Erlend;
Langet, Nadege;
Eidsvik, Jo.
(2022)
Ensemble and Self-supervised Learning for Improved Classification of Seismic Signals from the Åknes Rockslope.
Mathematical Geosciences.
Academic literature review
-
Lee, Daesoo;
Lee, Seungjae;
Lee, Jaeyong.
(2022)
Standardization in building an ANN-based mooring line top tension prediction system.
International Journal of Naval Architecture and Ocean Engineering.
volum 14.
Academic article