| A wide & deep learning sharing input data for regression analysis M Kim, S Lee, J Kim 2020 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2020 | 29 | 2020 |
| Early prediction of mortality for septic patients visiting emergency room based on explainable machine learning: a real-world multicenter study SW Park, NY Yeo, S Kang, T Ha, TH Kim, DH Lee, D Kim, S Choi, M Kim, ... Journal of Korean Medical Science 39 (5), 2024 | 10 | 2024 |
| Higher-order neural additive models: An interpretable machine learning model with feature interactions M Kim, HS Choi, J Kim arXiv preprint arXiv:2209.15409, 2022 | 7 | 2022 |
| Explicit Feature Interaction-Aware Graph Neural Network M Kim, HS Choi, J Kim IEEE Access, 2024 | 6 | 2024 |
| A Deep Learning–Based Approach for Prediction of Vancomycin Treatment Monitoring: Retrospective Study Among Patients With Critical Illness D Kim, HS Choi, DH Lee, M Kim, Y Kim, SS Han, Y Heo, JH Park, J Park JMIR Formative Research 8, e45202, 2024 | 5* | 2024 |
| Predicting Revenues of Seoul Commercial Alley using Neural Tensor Factorization M Kim, S Lee 2021 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2021 | 4 | 2021 |
| Combining multiple implicit-explicit interactions for regression analysis M Kim, S Lee, J Kim 2020 IEEE International Conference on Big Data (Big Data), 74-83, 2020 | 4 | 2020 |
| 자유학기제 운영계획서에 대한 텍스트 빅데이터 분석 및 요약 이수안， 박범준， 김민규， 신혜숙， 김진호 컴퓨터교육학회 논문지 22 (3), 135-146, 2019 | 3* | 2019 |
| Collaborative filtering on bipartite graphs using graph convolutional networks M Kim, J Kim 2022 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2022 | 2 | 2022 |
| In-Advance Prediction of Pressure Ulcers via Deep-Learning-Based Robust Missing Value Imputation on Real-Time Intensive Care Variables M Kim, TH Kim, D Kim, D Lee, D Kim, J Heo, S Kang, T Ha, J Kim, ... Journal of Clinical Medicine 13 (1), 36, 2023 | 1 | 2023 |
| Improving Interpretable Models based on Knowledge Distillation for ICU Mortality Prediction using Electronic Health Record J Byun, M Kim, J Kim Proceedings of the 2023 7th International Conference on Medical and Health …, 2023 | 1 | 2023 |
| Transparent Networks for Multivariate Time Series M Kim, S Lee, J Kim arXiv preprint arXiv:2410.10535, 2024 | | 2024 |
| Explainable Neural Tensor Factorization for Commercial Alley Revenues Prediction M Kim, S Lee, J Kim Electronics 13 (16), 3279, 2024 | | 2024 |
| Deep Learning Model for Traffic Accident Prediction Using Multiple Feature Interactions N Kim, S Ko, M Kim, S Lee 2024 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2024 | | 2024 |
| A Comprehensive Study on a Deep-Learning-Based Electrocardiography Analysis for Estimating the Apnea-Hypopnea Index S Kim, HS Choi, D Kim, M Kim, SY Lee, JK Kim, Y Kim, WH Lee Diagnostics 14 (11), 1134, 2024 | | 2024 |
| Method of preventing Pressure Ulcer and EMR data preprocess HSC Dowon Kim, Minkyu Kim, Yoon Kim, Seon-Sook Han, Jungwon Heo Journal of The Korea Society of Computer and Information 27 (12), 69-76, 2022 | | 2022 |
| 9. 기상자료를 고려한 사일리지용 옥수수의 수량 예측에서 기계학습모델 FM 과 DeepFM 의 적합도 비교 조현욱， 김민규， 이수안， 김지융， 김문주， 김병완， 성경일 한국초지조사료학회 학술대회논문집, 150-151, 2020 | | 2020 |
| 효율적인 회귀분석을 위한 Shared Wide & Deep 모델 김민규， 이수안， 김진호， 박지형 한국정보과학회 학술발표논문집, 1806-1808, 2019 | | 2019 |
| 빅데이터 기반의 통합적 트래픽 분석 플랫폼을 위한 저장구조 설계 장종원， 김희상， 김민규， 이수안， 김진호 한국정보과학회 학술발표논문집, 216-218, 2018 | | 2018 |
| 빅데이터 기술을 이용한 자유학기제 운영 실태 보고서 문서 분석 김민규， 이수안， 김진호， 신혜숙 한국정보과학회 학술발표논문집, 1534-1536, 2018 | | 2018 |
Jinho KimProfessor of Department of Computer Science, Kangwon National UniversityVerified email at kangwon.ac.kr
