Hee Seok Song - researchr alias

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Viewing Publication 1 - 16 from 16

2023

Detection of Morphological Characteristics of Atrial Fibrillation Using Semantic SegmentationKunwook Jo, HooHyun Kim, Jongdoo Choi, Yun-Kwan Kim, LanMi Hwang, So-Ryong Lee, Eue Keun Choi, Hee Seok Song. icaiic 2023: 575-578 [doi]

Ensemble Learning Method for In-Hospital Cardiac Arrest PredictionJaHyung Koo, Sun-Jung Lee, Yun-Kwan Kim, Hee Seok Song. medinfo 2024: 1462-1463 [doi]

2022

Automatic Cardiac Arrhythmia Classification Using Residual Network Combined With Long Short-Term MemoryYun-Kwan Kim, Minji Lee, Hee Seok Song, Seong-Whan Lee. tim, 71:1-17, 2022. [doi]

Algorithm for generating negative cases for collaborative filtering recommenderGil Jae Song, Hee Seok Song. es, 39(7), 2022. [doi]

2021

Validation of Adhesive Single-Lead ECG Device Compared with Holter Monitoring among Non-Atrial Fibrillation PatientsSoonil Kwon, So-Ryoung Lee, Eue Keun Choi, Hyo-Jeong Ahn, Hee Seok Song, Young-Shin Lee, Seil Oh. sensors, 21(9):3122, 2021. [doi]

A dog food recommendation system based on nutrient suitabilityHee Seok Song, Young Ae Kim. es, 38(2), 2021. [doi]

2011

Strategies for predicting local trust based on trust propagation in social networksYoung Ae Kim, Hee Seok Song. kbs, 24(8):1360-1371, 2011. [doi]

2009

A method of stepwise benchmarking for inefficient DMUs based on the proximity-based target selectionShaneth A. Estrada, Hee Seok Song, Young Ae Kim, Su Hyeon Namn, Shin Cheol Kang. eswa, 36(9):11595-11604, 2009. [doi]

A new marketing strategy map for direct marketingYoung Ae Kim, Hee Seok Song, Soung Hie Kim. kbs, 22(5):327-335, 2009. [doi]

2007

MCORE: a context-sensitive recommendation system for the mobile WebJoon Yeon Choi, Hee Seok Song, Soung Hie Kim. es, 24(1):32-46, 2007. [doi]

Sequential Decision Making for Profit Maximization Under the Defection Probability Constraint in Direct MarketingYoung Ae Kim, Soung Hie Kim, Hee Seok Song. icis 2007: 29 [doi]

2005

Strategies for preventing defection based on the mean time to defection and their implementations on a self-organizing mapYoung Ae Kim, Hee Seok Song, Soung Hie Kim. es, 22(5):265-278, 2005. [doi]

Detecting the change of customer behavior based on decision tree analysisJae Kyeong Kim, Hee Seok Song, Tae-Seong Kim, Hyea Kyeong Kim. es, 22(4):193-205, 2005. [doi]

2004

A Personalized Defection Detection and Prevention Procedure based on the Self-Organizing Map and Association Rule Mining: Applied to Online Game SiteHee Seok Song, Jae Kyeong Kim, Yeong Bin Cho, Soung Hie Kim. air, 21(2):161-184, 2004. [doi]

2001

A Methodology for Detecting the Change of Customer Behavior based on Association Rule MiningHee Seok Song, Soung Kim, Jae Kyeong Kim. pacis 2001: 61 [doi]

Mining the change of customer behavior in an internet shopping mallHee Seok Song, Jae Kyeong Kim, Soung Hie Kim. eswa, 21(3):157-168, 2001. [doi]

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