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A Visual Analytics System for Exploring, Monitoring, and Forecasting Road Traffic Congestion File

Lee, Chunggi , Kim, Yeonjun , Jin, Seungmin , Kim, Dongmin , Maciejewski, Ross , Ebert, David , Ko, Sungahn

Article Issue Date2020-11 View39
A Visual Analytics System for Improving Attention-based Traffic Forecasting Models

Jin, Seungmin , Lee, Hyunwook , Park, Cheonbok , Chu, Hyeshin , Tae, Yunwon , Choo, Jaegul , Ko, Sungahn

Conference Paper Issue Date2022-10-20 View19
An empirical experiment on deep learning models for predicting traffic data

Lee, Hyunwook , Park, Cheonbok , Jin, Seungmin , Chu, Hyeshin , Choo, Jaegul , Ko, Sungahn

Conference Paper Issue Date2021-04-21 View12
An Empirical Study on How People Perceive AI-generated Music File

Chu, Hyeshin , Kim, Joohee , Kim, Seongouk , Lim, Hongkyu , Lee, Hyunwook , Jin, Seungmin , Lee, Jong Eun , Kim, Taehwan , Ko, Sungahn

Conference Paper Issue Date2022-10-17 View63
Learning to Remember Patterns: Pattern Matching Memory Networks for Traffic Forecasting

Lee, Hyunwook , Jin, Seungmin , Chu, Hyeshin , Lim, Hongkyu , Ko, Sungahn

Conference Paper Issue Date2022-04-26 View29
ST-GRAT: A Novel Spatio-temporal Graph Attention Networks for Accurately Forecasting Dynamically Changing Road Speed File

Park, Cheonbok , Lee, Chunggi , Bahng, Hyojin , Tae, Yunwon , Jin, Seungmin , Kim, Kihwan , Ko, Sungahn , Choo, Jaegul

Conference Paper Issue Date2020-10-19 View17
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