Taeseung Park

According to our database, Taeseung Park authored at least 5 papers between 2023 and 2026.

Collaborative distances:

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

2026

Explainable machine learning for diagnosing ecological impairment in streams using reach-scale biological and environmental data.

Taeseung Park, Se-Rin Park, Jihoon Shin, Hyunji Kim, Kyung-A You, Sang-Woo Lee, YoonKyung Cha

Ecol. Informatics, 2026

2025

Generalizable deep learning forecasting of harmful algal blooms using transfer learning across river systems.

Jaegwan Park, Taeseung Park, Dogeon Lee, Jihoon Shin, Kyunghyun Kim, Jonggyu Jung, Hongtae Kim, YoonKyung Cha

Ecol. Informatics, 2025

A river network model using a weight-based merged LSTM for multi-source monitoring integration.

Jonggyu Jung, Taeseung Park, Jaegwan Park, Dogeon Lee, YoonKyung Cha

Ecol. Informatics, 2025

2024

Generalizability evaluations of heterogeneous ensembles for river health predictions.

Taeseung Park, Jihoon Shin, Baekyung Park, Jeongsuk Moon, YoonKyung Cha

Ecol. Informatics, 2024

2023

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, November, 2023