Effects of class imbalance on resampling and ensemble learning for improved prediction of cyanobacteria blooms. - Jihoon Shin; Seonghyeon Yoon; YoungWoo Kim; Taeho Kim; ByeongGeon Go; YoonKyung Cha (Ecol. Informatics, 2021)

A Resource-Efficient Inference Accelerator for Binary Convolutional Neural Networks. - Tae-Hwan Kim; Jihoon Shin (IEEE Trans. Circuits Syst. II Express Briefs, 2021)

Changes in zooplankton community in response to a shift from lentic to lotic conditions in a regulated river. - Taeseung Park; Gunhyeong Lee; Jihoon Shin; Jong-hwan Park; Byungwoong Choi; Dong-Kyun Kim; YoonKyung Cha (Ecol. Informatics, 2023)

Towards Building Generalizable Models for Malware Detection. - Jihoon Shin; Emilia Rivas; Daniel Lucio; Aritran Piplai; Lavanya Elluri (IEEE Big Data, 2024)

The importance of collaboration in the knowledge-intensive business services: The efficiency analysis of the industry using a meta-frontier approach. - Jihoon Shin; Hongbum Kim; Miguel Amaral (HICSS, 2024)

Generalizability evaluations of heterogeneous ensembles for river health predictions. - Taeseung Park; Jihoon Shin; Baekyung Park; Jeongsuk Moon; YoonKyung Cha (Ecol. Informatics, 2024)