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Namwoo Kim
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2020 – today
- 2024
- [j1]Yuyol Shin
, Namwoo Kim
Deep learning framework for vessel trajectory prediction using auxiliary tasks and convolutional networks. Eng. Appl. Artif. Intell. 132: 107936 (2024) - 2023
- [c6]Gwanghwan Seong, Namwoo Kim, Seyun Kim, Yoonjin Yoon
Multi-modal Based Region Representation Learning Considering Mobility Data in Seoul. ANT/EDI40 2023: 251-258 - [c5]Hyeyeong Lee, Namwoo Kim, Seyun Kim, Yoonjin Yoon
Detecting socioeconomic changes of Chicago regions between 2013 and 2020 using urban region representation learning. ANT/EDI40 2023: 259-266 - [c4]Namwoo Kim
A Heterogeneous Attention Network Model for Longitudinal Analysis of Socioeconomic and Racial Inequalities in Urban Regions: Evidence from Chicago, IL. SIGSPATIAL/GIS 2023: 100:1-100:4 - [c3]Yuyol Shin
Understanding Urban Economic Status through GNN-based Urban Representation Learning Using Mobility Data. UrbanAI@SIGSPATIAL 2023: 71-80 - 2022
- [i3]Namwoo Kim, Yoonjin Yoon:
Effective Urban Region Representation Learning Using Heterogeneous Urban Graph Attention Network (HUGAT). CoRR abs/2202.09021 (2022) - 2021
- [c2]Namwoo Kim, Yoonjin Yoon
Regionalization for urban air mobility application with analyses of 3D urban space and geodemography in San Francisco and New York. ANT/EDI40 2021: 388-395 - [c1]Namwoo Kim, Yoonjin Yoon
Representation learning of urban regions via mobility-signature-based zone embedding: a case study of Seoul, South Korea. LocalRec@SIGSPATIAL 2021: 6:1-6:4 - 2020
- [i2]Jungwoo Cho, Soohwan Oh, Seyun Kim, Namwoo Kim, Yu Yol Shin, Haechan Cho, Yoonjin Yoon:
COVID-19 Mobility Data Collection of Seoul, South Korea. CoRR abs/2006.08365 (2020) - [i1]Jungwoo Cho, Yu Yol Shin, Seyun Kim, Namwoo Kim, Soohwan Oh, Haechan Cho, Yoonjin Yoon:
Running the COVID-19 marathon: the behavioral adaptations in mobility and facemask over 27 weeks of pandemic in Seoul, South Korea. CoRR abs/2009.09073 (2020)
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last updated on 2024-06-10 20:30 CEST by the dblp team
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