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Hee Seok Song
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2020 – today
- 2023
- [j13]JaHyung Koo, LanMi Hwang, HooHyun Kim, TaeHee Kim, JinHyang Kim, HeeSeok Song:
Machine learning-based nutrient classification recommendation algorithm and nutrient suitability assessment questionnaire. KSII Trans. Internet Inf. Syst. 17(1): 16-30 (2023) - [c5]Kunwook Jo, HooHyun Kim, Jongdoo Choi, Yun Kwan Kim, LanMi Hwang, So-Ryong Lee, Eue-Keun Choi, Hee Seok Song:
Detection of Morphological Characteristics of Atrial Fibrillation Using Semantic Segmentation. ICAIIC 2023: 575-578 - [c4]JaHyung Koo, Sun Jung Lee, Yun Kwan Kim, Hee Seok Song:
Ensemble Learning Method for In-Hospital Cardiac Arrest Prediction. MedInfo 2023: 1462-1463 - [i1]Yun Kwan Kim, Minji Lee, Kunwook Jo, Hee Seok Song, Seong-Whan Lee:
Local-Global Temporal Fusion Network with an Attention Mechanism for Multiple and Multiclass Arrhythmia Classification. CoRR abs/2308.02416 (2023) - 2022
- [j12]Gil Jae Song, Hee Seok Song:
Algorithm for generating negative cases for collaborative filtering recommender. Expert Syst. J. Knowl. Eng. 39(7) (2022) - [j11]Yun Kwan Kim, Minji Lee, Hee Seok Song, Seong-Whan Lee:
Automatic Cardiac Arrhythmia Classification Using Residual Network Combined With Long Short-Term Memory. IEEE Trans. Instrum. Meas. 71: 1-17 (2022) - 2021
- [j10]Hee Seok Song, Young Ae Kim:
A dog food recommendation system based on nutrient suitability. Expert Syst. J. Knowl. Eng. 38(2) (2021) - [j9]Soonil Kwon, So-Ryoung Lee, Eue-Keun Choi, Hyo-Jeong Ahn, Hee-Seok Song, Young-Shin Lee, Seil Oh:
Validation of Adhesive Single-Lead ECG Device Compared with Holter Monitoring among Non-Atrial Fibrillation Patients. Sensors 21(9): 3122 (2021)
2010 – 2019
- 2011
- [j8]Young Ae Kim, Hee Seok Song:
Strategies for predicting local trust based on trust propagation in social networks. Knowl. Based Syst. 24(8): 1360-1371 (2011)
2000 – 2009
- 2009
- [j7]Shaneth A. Estrada, Hee Seok Song, Young Ae Kim, Su Hyeon Namn, Shin Cheol Kang:
A method of stepwise benchmarking for inefficient DMUs based on the proximity-based target selection. Expert Syst. Appl. 36(9): 11595-11604 (2009) - [j6]Young Ae Kim, Hee Seok Song, Soung Hie Kim:
A new marketing strategy map for direct marketing. Knowl. Based Syst. 22(5): 327-335 (2009) - 2007
- [j5]Joon Yeon Choi, Hee Seok Song, Soung Hie Kim:
MCORE: a context-sensitive recommendation system for the mobile Web. Expert Syst. J. Knowl. Eng. 24(1): 32-46 (2007) - [c3]Young Ae Kim, Soung Hie Kim, Hee Seok Song:
Sequential Decision Making for Profit Maximization Under the Defection Probability Constraint in Direct Marketing. ICIS 2007: 29 - 2005
- [j4]Jae Kyeong Kim, Hee Seok Song, Tae Seong Kim, Hyea Kyeong Kim:
Detecting the change of customer behavior based on decision tree analysis. Expert Syst. J. Knowl. Eng. 22(4): 193-205 (2005) - [j3]Young Ae Kim, Hee Seok Song, Soung Hie Kim:
Strategies for preventing defection based on the mean time to defection and their implementations on a self-organizing map. Expert Syst. J. Knowl. Eng. 22(5): 265-278 (2005) - 2004
- [j2]Hee Seok Song, Jae Kyeong Kim, Yeong Bin Cho, Soung Hie Kim:
A Personalized Defection Detection and Prevention Procedure based on the Self-Organizing Map and Association Rule Mining: Applied to Online Game Site. Artif. Intell. Rev. 21(2): 161-184 (2004) - [c2]Kyunghee Chae, Heeseok Song, Juchoel Choi:
A Defection Detection Procedure Using SOM and Markov Chain: A Case of On-line Game Providers. ICEB 2004: 233-238 - 2001
- [j1]Hee Seok Song, Jae Kyeong Kim, Soung Hie Kim:
Mining the change of customer behavior in an internet shopping mall. Expert Syst. Appl. 21(3): 157-168 (2001) - [c1]Hee-Seok Song, Soung Kim, Jae-Kyeong Kim:
A Methodology for Detecting the Change of Customer Behavior based on Association Rule Mining. PACIS 2001: 61
Coauthor Index
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