Product
Help
Pricing
About
Jobs
Log in
Get started
Author
Add to collection
Kwangtek Na
Observed names:
Kwang-Tek Na,
KwangTek Na,
Na kwang tek,
Na, KwangTek
Institution:
Inha University
Observed institution:
Inha University
ORCID:
0000-0002-2529-4880
Observed ORCID:
0000-0002-2529-4880
OpenAlex ID:
A5093724023
SHOMY: Detection of Small Hazardous Objects using the You Only Look Once Algorithm
2022
·
Eunchan Kim
, Jinyoung Lee
, et al.
·
KSII Transactions on Internet and Information Systems
·
44
PDF
A Securities Company's Customer Churn Prediction Model and Causal Inference with SHAP Value
2020
·
Kwangtek Na
, Jin-Young Lee
, et al.
·
Seoul National University Open Repository (Seoul National University)
·
38
LF-Transformer: Latent Factorizer Transformer for Tabular Learning
2024
·
Kwangtek Na
, Ju-Hong Lee
, et al.
·
IEEE Access
·
9
PDF
Augmented ELBO regularization for enhanced clustering in variational autoencoders
2024
·
Kwangtek Na
, Ju-Hong Lee
, et al.
·
Neurocomputing
·
7
Primary Determinants and Strategic Implications for Customer Loyalty in Pet-Related Vertical E-Commerce: A Machine Learning Approach
2025
·
YongHyun Lee
, Kwangtek Na
, et al.
·
Systems
·
3
Enhancing Portfolio Performance through Financial Time-Series Decomposition-Based Variational Encoder-Decoder Data Augmentation
2024
·
Bayartsetseg Kalina
, Ju-Hong Lee
, et al.
·
Symmetry
·
3
PDF
Market-Adaptive Ratio for Portfolio Management
2023
·
Lee, Ju-Hong
, Kalina, Bayartsetseg
, et al.
·
RePEc: Research Papers in Economics
PDF
Merchant Recommender System using Double DNN
2020
·
Bayartsetseg Kalina
, KwangTek Na
, et al.
·
Journal of Korean institute of intelligent systems
이중 DNN을 이용한 가맹점 추천 시스템 (DoubleDNN)
2020
·
Bayartsetseg Kalina
, Na kwang tek
, et al.
Collaborative Filtering using Co‐Occurrence and Similarity information
2017
·
Na kwang tek
, Ju-Hong Lee
·
Journal of Internet Computing and services
상품 동시 발생 정보와 유사도 정보를 이용한 협업적 필터링
2017
·
Na kwang tek
, Juhong Lee
Show more works
View as search
Works count:
11
Citation count:
104
H-index:
4
I10-index:
2
Year
Topic
Type