Hangbin Lee

According to our database, Hangbin Lee authored at least 4 papers between 2022 and 2023.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2023

Subject-specific Deep Neural Networks for Count Data with High-cardinality Categorical Features.

Hangbin Lee, Il Do Ha, Changha Hwang, Youngjo Lee

CoRR, 2023

Deep Neural Networks for Semiparametric Frailty Models via H-likelihood.

Hangbin Lee, Il Do Ha, Youngjo Lee

CoRR, 2023

H-Likelihood Approach to Deep Neural Networks with Temporal-Spatial Random Effects for High-Cardinality Categorical Features.

Hangbin Lee, Youngjo Lee

Proceedings of the International Conference on Machine Learning, 2023

2022

Albatross analytics a hands-on into practice: statistical and data science application.

Rezzy Eko Caraka, Youngjo Lee, Jeongseop Han, Hangbin Lee, Maengseok Noh, Il Do Ha, Prana Ugiana Gio, Bens Pardamean

J. Big Data, 2022