Albatross analytics a hands-on into practice: statistical and data science application. - Rezzy Eko Caraka; Youngjo Lee 001; Jeongseop Han; Hangbin Lee; Maengseok Noh; Il Do Ha; Prana Ugiana Gio; Bens Pardamean (J. Big Data, 2022)

H-Likelihood Approach to Deep Neural Networks with Temporal-Spatial Random Effects for High-Cardinality Categorical Features. - Hangbin Lee; Youngjo Lee (ICML, 2023)

Deep Neural Networks for Semiparametric Frailty Models via H-likelihood. - Hangbin Lee; Il Do Ha; Youngjo Lee (CoRR, 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)