| 2018-06 | A Hybrid Framework Combining Background Subtraction and Deep Neural Networks for Rapid Person Detection | 김영민 |
| 2015-08 | Design of Marketing Scenario Planning Based on Business Big Data Analysis | 김영민 |
| 2014-10 | Dynamic Hilbert curve-based B+-Tree to manage frequently updated data in big data applications | 김영민 |
| 2016-12 | Entity Resolution Approach of Data Stream Management Systems | 김영민 |
| 2019-06 | Feature Visualization in Comic Artist Classification using Deep Neural Networks | 김영민 |
| 2019-10 | A Holonic-Based Self-Learning Mechanism for Energy-Predictive Planning in Machining Processes | 김영민 |
| 2015-01 | Inspecting Retrieval Engines Based on Term’s Weight | 김영민 |
| 2014-05 | Investigating the Image of Entities in Social Media: Dataset Design and First Results | 김영민 |
| 2020-09 | Korean Clinical Entity Recognition from Diagnosis Text using BERT | 김영민 |
| 2014-01 | Large scale text mining approaches for information retrieval and extraction | 김영민 |
| 2015-01 | On Designing an Effective Training Set for Information Extraction | 김영민 |
| 2020-10 | Pitch Processing Can Indicate Cognitive Alterations in Chronic Liver Disease: An fNIRS Study | 김영민 |
| 2019-08 | Training Set Expansion Using Word Embeddings for Korean Medical Information Extraction | 김영민 |
| 2018-07 | What Makes the Difference in Visual Styles of Comics: from Classification to Style Transfer | 김영민 |
| 2018-06 | YOLO를 이용한 CCTV 영상에서의 쓰러짐 검출 | 김영민 |
| 2018-03 | 배경 차분과 CNN 기반의 CCTV 객체 검출 | 김영민 |
| 2020-07 | 의료 조언을 위한 질문 의도 인식: 학습 데이터 구축 및 의도 분류 | 김영민 |
| 2015-09 | 자연재해 분석을 위한 빅데이터 마이닝 기술 | 김영민 |
| 2020-04 | 전이학습 기반 가공동력 예측 모델링 방법 | 김영민 |
