서울시립대학교 UNIVERSITY OF SEOUL
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전종준

  • 연구분야Probability model for ranking
  • 교수연구실미래관 712호
  • 전화번호02-6490-2637
  • HOMEPAGE http://ranking.uos.ac.kr
  • EMAILjj.jeon@uos.ac.kr

학력사항

1997. 03. ~ 2005. 08. 서울대학교 경영학 학사
2005. 03. ~ 2012. 08. 서울대학교 통계학 박사

경력사항

2012. 09. ~ 2013. 12. 서울대학교 연구연구원
2014. 03. ~ 현 재 서울시립대학교 통계학과 교수

연구실적

논문 및 저서

#Statistics and Computation
- Regularized boxplot via convex clustering, H Choi, JC Poythress, C Park, JJ Jeon, C Park, Journal of Statistical Computation and Simulation, 89 (7), 1227-1247, (2019).

- Primal path algorithm for compositional data analysis, JJ Jeon, Y Kim, S Won, H Choi, arXiv preprint arXiv:1812.08954, (2018)

- The sparse Luce model, JJ Jeon, H Choi, Applied Intelligence, 48 (8), 1953-1964, (2018).

- Homogeneity detection for the high-dimensional generalized linear model, JJ Jeon, S Kwon, H Choi, Computational Statistics & Data Analysis, 114, 61-74, (2017).

- Portfolio credit risk model with extremal dependence of defaults and random recovery, JJ Jeon, S. Kim, Y. Kim, Journal of credit risk, 13(2), 1-32, (2017).

- Adaptive stochastic gradient method under two mixing heterogenous models, SJ Moon, JJ Jeon, The Korean Data & Information Science Society, 28 (6), 1245-1255, (2017)

- Consistent model selection criteria for quadratically supported risks, Y Kim, JJ Jeon, The Annals of Statistics, 44 (6), 2467-2496, (2016)

- A Necessary Condition for the Strong Oracle Property. Y Kim, JJ Jeon, S Han., Scandinavian Journal of Statistics, 43 (2), 610-624, (2015)

- Revisiting the Bradley-Terry model and its application to information retrieval, JJ Jeon, Y Kim, Journal of the Korean Data and Information Science Society 24 (5), 1089-1099 (2013).

- The Unified Framework for AUC Maximizer, Communications of the Korean Statistical Society, Jeon J., Kim Y., Han S., Kang H.,Choi H., 16(6), 1005–1012, (2009).

#Application to Climate Science
- A Projection of Extreme Precipitation Based on a Selection of CMIP5 GCMs over North Korea, JH Sung, M Kwon, JJ Jeon, SB Seo, Sustainability 11 (7), (2019).

- Application of distribution-free nonstationary regional frequency analysis based on L-moments, JH Sung, YO Kim, JJ Jeon, Theoretical and applied climatology 133 (3-4), 1219-1233, (2017).

- Bayesian analysis to detect abrupt changes in extreme hydrological processes. S Jo, G Kim, JJ Jeon, Journal of Hydrology, 538, 63-7, (2016).

- Abrupt change point detection of annual maximum precipitation using fused lasso, JJ Jeon, JH Sung, ES Chung, Journal of Hydrology, 538, 831-841, (2016).

- Expected probability weighted moment estimator for censored flood data, Jeon J., Kim Y, Kim Y., Advances in Water Resources, 34, 933-945, (2011).


#Medical Statistics
- Low-dose (2-mSv) computed tomography for suspected appendicitis: Applicability in an emergency department, JH Woo, JJ Jeon, SJ Choi, JY Choi, YS Jang, YS Lim, YS Shim, SJ Ahn, The American journal of emergency medicine 36 (12), 2139-2143, (2018).

- Diagnostic Yield and False-Referral Rate of Staging Chest CT in Patients with Colon Cancer, KH Lee, JH Park, YH Kim, KW Lee, JW Kim, HK Oh, JJ Jeon, H Yoon, Radiology, 289 (2), 535-545, (2018).

- Can we perform CT of the appendix with less than 1 mSv? A de-escalating dose-simulation stud, JH Park, JJ Jeon, SS Lee, AC Dhanantwari, JY Sim, HY Kim, KH Lee, European radiology, 28 (5), 1826-1834, (2018).

- Systematic review and meta-analysis of CT features for differentiating complicated and uncomplicated appendicitis, HY Kim, JH Park, YJ Lee, SS Lee, JJ Jeon, KH Lee, Radiology 287 (1), 104-115, (2017).

- A comparison of logistic regression analysis and an artificial neural network using the BI-RADS lexicon for ultrasonography in conjunction with introbserver variability, SM Kim, H Han, JM Park, YJ Choi, HS Yoon, JH Sohn, MH Baek, YN Kim…, Journal of digital imaging 25 (5), 599-606, (2012).

- Evaluation of Tumor Angiogenesis in a Mouse PC‐3 Prostate Cancer Model Using Dynamic Contrast‐Enhanced Sonography, HJ Lee, SI Hwang, JH Chung, JJ Jeon, JH Choi, HS Jung, Journal of ultrasound in medicine 31 (8), 1223-1231, (2012).

- Predicting the fidelity of JPEG2000 compressed CT images using DICOM header information, KJ Kim, B Kim, H Lee, H Choi, JJ Jeon, JH Ahn, KH Lee, Medical physics 38 (12), 6449-6457, (2011).


#Others
- Analysis of relationship between road traffic noise and urban form indicators through machine learning method, P Kim, H Ryu, J Jeon, S Chang, INTER-NOISE and NOISE-CON Congress and Conference Proceedings, 255 (3), 4838-4843, (2017).

- Artificial neural network model for optimizing operation of a seawater reverse osmosis desalination plant, Lee Y., Lee Y., Jeon J., Lee S.,Yang D., Kim S. Kim J., Desalination, 247 180–189, (2009).

주요특강영역

#R프로그래밍과 시각화
- 네이버, 시각화와 스토리텔링,
- SK, R프로그래밍과 시각화
- 서울대 빅데이터 연구소, R프로그래밍과 시각화

#머신러닝
- SAS, 기계학습 특강

사회활동

프로젝트
- 한국은행, 경제용어사전 구축을 위한 감성단어 추출 연구, (2019).
- 네이버시스템, C-ITS 빅데이터 분석, (2019).
- 쥬비스, 쥬비스 AI 다이어트 컨설팅, (2018-2019).
- 국방기술품질원, 텍스트 마이닝을 이용한 미래기술조사방법론 연구, (2017).