75 citations · 215 across the 12 of their papers we have counts for
12 papers
Domain Generalization Strategy to Train Classifiers Robust to Spatial-Temporal Shift
Minseok Seo, Doyi Kim, Seungheon Shin +3
Deep learning-based weather prediction models have advanced significantly in recent years. However, data-driven models based on deep learning are difficult to apply to real-world a…
Simple Baseline for Weather Forecasting Using Spatiotemporal Context Aggregation Network
Minseok Seo, Doyi Kim, Seungheon Shin +3
Traditional weather forecasting relies on domain expertise and computationally intensive numerical simulation systems. Recently, with the development of a data-driven approach, wea…
The evolution of merger fraction of galaxies at z < 0.6 depending on the star formation mode in the AKARI NEP Wide field
Eunbin Kim, Ho Seong Hwang, Woong-Seob Jeong +19
We study the galaxy merger fraction and its dependence on star formation mode in the5.4 square degrees of the North Ecliptic Pole-Wide field. We select 6352 galaxies withAKARI 9μm…
Active galactic nuclei catalog from the AKARI NEP Wide field
Artem Poliszczuk, Agnieszka Pollo, Katarzyna Małek +12
Context. The North Ecliptic Pole (NEP) field provides a unique set of panchromatic data, well suited for active galactic nuclei (AGN) studies. Selection of AGN candidates is often…
An Active Galactic Nucleus Recognition Model based on Deep Neural Network
Bo Han Chen, Tomotsugu Goto, Seong Jin Kim +21
To understand the cosmic accretion history of supermassive black holes, separating the radiation from active galactic nuclei (AGNs) and star-forming galaxies (SFGs) is critical. Ho…
Photometric Redshifts in the North Ecliptic Pole Wide Field based on a Deep Optical Survey with Hyper Suprime-Cam
Simon C. -C. Ho, Tomotsugu Goto, Nagisa Oi +13
The space infrared telescope has performed near- to mid-infrared (MIR) observations on the North Ecliptic Pole Wide (NEPW) field (5.4 deg) for about one year. t…