사람들

  • 교수
    • 교수
    • 명예교수
    • 초빙/겸임교수
  • 직원

교수

교수정보의 상세 화면
신현정
이름
신현정
학력
박사
전공
산업공학전공(과)
정보
연구실 :
팔달관 8층 818

연구실번호 :
2417

이메일 :
shin@ajou.ac.kr

연구관심분야 :
Machine Learning (기계학습), Data Mining (데이터마이닝), BioMedical Informatics (바이오메디컬인포매틱스)

홈페이지 :
http://www.alphaminers.net
학력
졸업연도/학교/학위
2005.02 서울대학교 박사
경력 [2006-현 재] 아주대학교 공과대학 산업공학과 교수
[2006-2006] 서울대학교 의과대학 연구교수
[2004-2006] 독일 막스플랑크(Max-Planck-Institute) 수석연구원

인공지능소사이어티 교육부 회장
한국정보과학회 기계학습연구회 회장
국민건강보험 심사평가원 (HIRA) 청구소프트웨어 검사심의 위원회 부위원장
한국 BI 데이터마이닝 학회 등기이사
한국 생물정보시스템생물학회(KSBSB) 교육이사
Pattern Recognition ad Machine Learning School (PRML) 강의 및 운영위원 
보건복지부 Health Technology 포럼 위원회 위원
대한의료정보학회 정보의학인증의 (CPBMI/CSBMI)강사
한국 정보과학회 교육이사
국제 경영정보학회(INFORMS), 국제 신경망학회(INNS) 회원
국제 생물정보학회(ISCB) 회원
대한산업공학회, 대한의료정보학회 등 회원 
기타
연구분야 Machine Learning, Data Mining, Big Data Analysis, Network Analytics
[Algorithm] Semi-Supervised Learning, Statistical Learning, Kernel Learning. Deep Learning, etc 
[BioMedical] Disease Scoring, Multi-Omics Data Integration, Protein Function Prediction, Cancer Genotype-Phenotype Prediction. etc 
논문 및 연구활동
연구활동(주요논문)
  • [논문] 신현정, 박성홍, 이동기, Network Mirroring for Drug Repositioning , BMC MEDICAL INFORMATICS AND DECISION MAKING , Vol.1 , No.55 , pp.1 -11 (May, 2017)
  • [논문] 신현정, 방선주, 김재훈, Causality modeling for directed disease network , BIOINFORMATICS , Vol.32 , No.17 (Sep, 2016)
  • [논문] 신현정, 서용원, 박찬규, An optimization approach to resolving circular shareholding in large business groups , JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY , Vol.66 , pp.1454 -1470 (Oct, 2015)
  • [논문] 신현정, 남용현, A Coupling Approach of a Predictor and a Descriptor for Breast Cancer Prognosis , BMC MEDICAL GENOMICS , Vol.7 , No.4 , pp.1 -12 (May, 2014)
  • [논문] 신현정, 김주현, Breast Cancer Survivability Prediction using Labeled, Unlabeled, and Pseudo-Labeled Patient Data , JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION , Vol.20 , No.4 , pp.613 -618 (Mar, 2013)
국제학술논문지
  • [논문] 신현정, 김재훈, 방선주, 김주한, 남용현, 이동기, The translational network for metabolic disease – from protein interaction to disease co-occurrence , BMC BIOINFORMATICS , Vol.576 , pp.1 -12 (Nov, 2019)
  • [논문] 신현정, 이동기, 김명준, Semi-supervised learning for hierarchically structured networks , PATTERN RECOGNITION , pp.191 -200 (Nov, 2019)
  • [논문] 이경원, 이지혜, 신현정, 배성윤, 손상준, 홍창형, 하효지, 한현우, Dementia Patient Segmentation Using EMR Data Visualization: A Design Study , INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH , pp.1 -16 (Sep, 2019)
  • [논문] 신현정, 김명준, 장항석, 남용현, Drug repurposing with network reinforcement , BMC BIOINFORMATICS , Vol.13 , pp.1 -10 (Jul, 2019)
  • [논문] 신현정, 김명준, 이동기, Inference on chains of disease progression based on disease networks , PLoS ONE , Vol.14 , No.6 , pp.1 -20 (Jun, 2019)
  • [논문] 신현정, 손상준, 김수영, 방선주, Disease Pathway Cut for Multi-Target drugs , BMC BIOINFORMATICS , Vol.20 , pp.1 -12 (Feb, 2019)
  • [논문] 신현정, 김수영, 김석모, 장호진, 박정수, 이용상, 권순선, 장항석, 김법우, Cost for treatment and follow-up of thyroid cancer increases according to the severity of disease , HEAD AND NECK-JOURNAL FOR THE SCIENCES AND SPECIALTIES OF THE HEAD AND NECK , Vol.41 , No.7 , pp.1 -4 (Jan, 2019)
  • [논문] 신현정, 이지현, 조준희, 남용현, 지종호, Disease gene identification based on generic and disease-specific genome networks , BIOINFORMATICS , pp.1 -8 (Oct, 2018)
  • [논문] 신현정, 이동기, 김명준, 이상국, Historical inference based on semi-supervised learning , EXPERT SYSTEMS WITH APPLICATIONS , Vol.106 , pp.121 -131 (Sep, 2018)
  • [논문] 신현정, 방선주, 이동기, 지종호, Comorbidity Scoring with Causal Disease Networks , IEEE/ACM Transactions on Computational Biology and Bioinformatics , pp.1 -8 (Mar, 2018)
  • [논문] 신현정, 김명준, 남용현, An Inference Method from Multi-Layered Structure of Biomedical Data , BMC MEDICAL INFORMATICS AND DECISION MAKING , Vol.1 , No.52 , pp.1 -10 (May, 2017)
  • [논문] 신현정, 이동기, Disease Causality Extraction based on Lexical Semantics and Clause Frequency from Biomedical Literature , BMC MEDICAL INFORMATICS AND DECISION MAKING , Vol.1 , No.53 , pp.1 -9 (May, 2017)
  • [논문] 신현정, 이경원, 방선주, 이지혜, 노현웅, 손상준, 홍창형, 배성윤, Quad-phased Data Mining Modeling for Dementia Diagnosis , BMC MEDICAL INFORMATICS AND DECISION MAKING , Vol.17 , pp.60 -60 (May, 2017)
  • [논문] 신현정, 남용현, 추옥성, 정연훈, 이유리, Cascade Recurring Deep Networks for Audible Range Prediction , BMC MEDICAL INFORMATICS AND DECISION MAKING , Vol.17 , pp.56 -56 (May, 2017)
  • [논문] 신현정, 박성홍, 이동기, Network Mirroring for Drug Repositioning , BMC MEDICAL INFORMATICS AND DECISION MAKING , Vol.1 , No.55 , pp.1 -11 (May, 2017)
  • [논문] 신현정, 방선주, 김재훈, Causality modeling for directed disease network , BIOINFORMATICS , Vol.32 , No.17 (Sep, 2016)
  • [논문] 신현정, 이경원, 김명준, 남용현, CLASH: Complementary Linkage with Anchoring and Scoring for Heterogeneous biomolecular and clinical data , BMC MEDICAL INFORMATICS AND DECISION MAKING , Vol.3 , pp.72 -72 (Jul, 2016)
  • [논문] 신현정, 서용원, 박찬규, An optimization approach to resolving circular shareholding in large business groups , JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY , Vol.66 , pp.1454 -1470 (Oct, 2015)
  • [논문] 김주한, 정제근, 손경아, Marylin D. Richie, 김도균, 신현정, 박유랑, Knowledge Boosting: A graph-based integration with multi-omics data and genomic knowledge for cancer clinical outcome prediction , JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION , pp.1 -10 (Jul, 2014)
  • [논문] 김주한, 김도균, Marylyn D. Ritchie, Anurag Verma, 손경아, 신현정, Incorporating inter-relationships between different levels of genomic data into cancer clinical outcome prediction , METHODS , Vol.67 , No.3 , pp.344 -353 (Jun, 2014)
  • [논문] 신현정, 남용현, A Coupling Approach of a Predictor and a Descriptor for Breast Cancer Prognosis , BMC MEDICAL GENOMICS , Vol.7 , No.4 , pp.1 -12 (May, 2014)
  • [논문] 신현정, 김주한, 이수연, 김도균, 정제균, Intra-relation Reconstruction from Inter-relation: miRNA to Gene Expression , BMC SYSTEMS BIOLOGY , Vol.7 , pp.1 -11 (Dec, 2013)
  • [논문] 신현정, 김민구, Ali Amna, 안열우, 박강희, 김도균, Robust Predictive Model for Evaluating Breast Cancer Survivability , ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE , Vol.26 , No.9 , pp.2194 -2205 (Oct, 2013)
  • [논문] 정명철, 신현정, 황재진, Joint motion pattern classification by cluster analysis of kinematic, demographic, and subjective variables , APPLIED ERGONOMICS , Vol.44 , No.4 , pp.636 -642 (Jul, 2013)
  • [논문] 신현정, 박강희, Stock Price Prediction based on a Complex Interrelation Network of Economic Factors , ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE , Vol.26 , No.5-6 , pp.1550 -1561 (May, 2013)
  • [논문] 신현정, 박강희, 최인애, Sharpened graph ensemble for semi-supervised learning , INTELLIGENT DATA ANALYSIS , Vol.17 , No.3 , pp.387 -398 (May, 2013)
  • [논문] 신현정, 최성희, 박찬규, Hou Tianya, 박강희, Prediction of movement direction in crude oil prices based on semi-supervised learning , DECISION SUPPORT SYSTEMS , Vol.55 , No.1 , pp.348 -358 (Apr, 2013)
  • [논문] 신현정, 김주현, Breast Cancer Survivability Prediction using Labeled, Unlabeled, and Pseudo-Labeled Patient Data , JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION , Vol.20 , No.4 , pp.613 -618 (Mar, 2013)
  • [논문] 신현정, 김도균, 김주한, 송영수, Synergistic effect of different levels of genomic data for cancer clinical outcome prediction , JOURNAL OF BIOMEDICAL INFORMATICS , pp.1191 -1198 (Aug, 2012)
  • [논문] 신현정, 지원철, 박하영, 이준우, A scoring model to detect abusive billing patterns in health insurance claims , EXPERT SYSTEMS WITH APPLICATIONS , Vol.39 , No.8 , pp.7441 -7450 (Jun, 2012)
  • [논문] 김주한, 김민구, 정제균, 신현정, 정태수, Extracting Regulatory Modules from Gene Expression Data by Sequential Pattern Mining , BMC GENOMICS , pp.1 -10 (Nov, 2011)
  • [논문] 김주한, 송영수, 정희준, 김지훈, 신현정, 박찬희, Semantically enabled and statistically supported biological hypothesis testing with tissue microarray databases , BMC BIOINFORMATICS , Vol.12 , No.1 , pp.51 -62 (Feb, 2011)
  • [논문] 신현정, Andreas Martin Lisewski, 박준상, N. Jeremy Hill, Graph Sharpening , EXPERT SYSTEMS WITH APPLICATIONS , Vol.59 , No.2010 , pp.100 -110 (Jun, 2010)
  • [논문] 이경석, 홍만표, 신현정, Ahmed, Irfan, Content-based File-type Identification using Cosine Similarity and a Divide-and-Conquer Approach , IETE TECHNICAL REVIEW , Vol.27 , No.6 , pp.465 -477 (Jun, 2010)
  • [논문] 조성준, 이형주, Douglas MacLachlan, 신현정, 황성섭, Semi-Supervised Response Modeling , JOURNAL OF INTERACTIVE MARKETING , Vol.2010 , pp.42 -54 (Feb, 2010)
  • [논문] 신현정, Koji Tsuda, Bernhard Schoelkopf, Protein functional class prediction with a combined graph , Expert Systems with Applications , Vol.36 , No.2009 , pp.3284 -3292 (Nov, 2008)
  • [논문] 신현정, Olivier Lichtarge, Martin Lisewski, Graph Sharpening plus Graph Integration: A Synergy that Improves Protein Functional Classification , Bioinformatics (Oxford University Press) , Vol.23 , No.23 , pp.3217 -3224 (Dec, 2007)
  • [논문] 신현정, 조성준, Neighborhood Property based Pattern Selection for Support Vector Machines , Neural Computation (MIT Press) , Vol.19 , No.3 , pp.816 -855 (Mar, 2007)
  • [논문] 신현정, N. Jeremy Hill, Gunar Raetsch, Graph-based Semi-Supervised Learning with Sharper Edges , Lecture Notes in Artificial Intelligence (Springer-Verlag) , Vol.4212 , pp.402 -413 (Sep, 2006)
국내학술논문지
  • [논문] 이경원, 한현우, 신현정, 이지혜, 손상준, 홍창형, 하효지, 배성윤, 다차원 데이터의 의미적 군집 분석을 위한 시각화 방법에 관한 연구 , 정보과학회지 , Vol.34 , No.11 , pp.51 -61 (Nov, 2016)
  • [논문] Gwan-Su Yi, Kimin Oh, Min-Sung Kim, 신현정, Kihoon Cha, Drug similarity search based on combined signatures in gene expression profiles , HEALTHCARE INFORMATICS RESEARCH(대한의료정보학회지) , Vol.20 , No.1 , pp.52 -60 (Jan, 2014)
  • [논문] 신현정, 박강희, 포트폴리오 최적화와 주가예측을 이용한 투자 모형 , 대한산업공학회지(JOURNAL OF THE KOREAN INSTITUTE OF INDUSTRIAL ENGINEERS) , Vol.39 , No.6 , pp.535 -545 (Dec, 2013)
  • [논문] 신현정, 김항석, 준지도 학습 및 신경망 알고리즘을 이용한 전기가격 예측 , 대한산업공학회지(JOURNAL OF THE KOREAN INSTITUTE OF INDUSTRIAL ENGINEERS) , Vol.39 , No.1 , pp.30 -45 (Feb, 2013)
  • [논문] 신현정, 이형로, Electricity Demand Forecasting based on Support Vector Regression , 산업공학(IE Interfaces) , Vol.24 , No.4 , pp.1 -11 (Dec, 2011)
  • [논문] 신현정, 박강희, Stock Price Prediction based on Time Series Network , 한국경영과학회지 , Vol.28 , No.1 , pp.107 -114 (Mar, 2011)
  • [논문] 신현정, Hou Tianya, 박강희, Oil Price Forecasting based on Machine Learning Techniques , 대한산업공학회지 , Vol.37 , No.1 , pp.64 -73 (Mar, 2011)
국제학술발표
  • [학술회의] 신현정, 박강희, 박성홍, Machine Learning based Enterprise Prospect Evaluation , International Joint Conference on AI & Data Science: Mathematics and Applications (Nov, 2019)
  • [학술회의] 신현정, 지종호, Gromov-Wasserstein Distance on graphs with Heat Kernel , International Joint Conference on AI & Data Science: Mathematics and Applications (Nov, 2019)
  • [학술회의] 신현정, Machine Learning on Graphs , International Joint Conference on AI & Data Science: Mathematics and Applications (Nov, 2019)
  • [학술회의] 신현정, 이상국, 김명준, Inference on Historical Factions by Parallel and Layered Integration of Human Network , International Joint Conference on AI & Data Science: Mathematics and Applications (Nov, 2019)
  • [학술회의] 신현정, 조준희, Learning deep neural network with active weights , International Joint Conference on AI & Data Science: Mathematics and Applications (Nov, 2019)
  • [학술회의] 신현정, 신현진, 김수영, 방선주, Prognosis and recurrence prediction of thyroid cancer using machine learning models , International Joint Conference on AI & Data Science: Mathematics and Applications (Nov, 2019)
  • [학술회의] 신현정, 김명준, 손상준, 이동기, Key Gene Prediction for Dementia using Multi-layered Network of Biobank Data , International Joint Conference on AI & Data Science: Mathematics and Applications (Nov, 2019)
  • [학술회의] 신현정, 김명준, 손상준, 이동기, Key Gene Ranking for Dementia based on Multi-layered Biobank Data with Semi-Supervised Learning , The 15th International Conference on Bioinformatics (BIOINFO 2019) (Aug, 2019)
  • [학술회의] 신현정, Graph-based Semi-Supervised Learning for Genome, Diseasome, and Drugome , The Second Korea-Japan Machine Learning Workshop (Feb, 2019)
  • [학술회의] 신현정, 이근호, 이상국, 김명준, 이동기, Inference on Political Factions based on Hierarchical Structure of Genealogy: Three Major Purges in Medieval Joseon Korea , 43rd Annual Meeting of the Social Science History Association (SSHA 2018) (Nov, 2018)
  • [학술회의] 신현정, 김명준, 남용현, Drug Repurposing with Network Reinforcement , The 8th Annual Translational Bioinformatics Conference (2018 TBC/BIOINFO) (Nov, 2018)
  • [학술회의] 신현정, Graph based Machine Learning Algorithms for Genome, Diseasome and Drugome Networks , The 8th Annual Translational Bioinformatics Conference (2018 TBC/BIOINFO) (Nov, 2018)
  • [학술회의] 신현정, 이지현, 지종호, 남용현, 조준희, Priorization of Potential Disease-Genes using Generic and Disease-Specific Genome Networks , The 8th Annual Translational Bioinformatics Conference (2018 TBC/BIOINFO) (Nov, 2018)
  • [학술회의] 신현정, 손상준, 방선주, Disease Gene Identification using Graph Cut Algorithm , The 8th Annual Translational Bioinformatics Conference (2018 TBC/BIOINFO) (Nov, 2018)
  • [학술회의] 신현정, 김명준, 이동기, Disease Network to Causal Disease Chains: Identifying a series of disease causalities , The 8th Annual Translational Bioinformatics Conference (2018 TBC/BIOINFO) (Nov, 2018)
  • [학술회의] 신현정, 김명준, 박성홍, 이동기, Causal Disease Chains from Various Biomedical data , 17th European Conference on Computational Biology 2018 (ECCB 2018) (Sep, 2018)
  • [학술회의] 신현정, 손상준, 방선주, Min-cut on disease pathway for target protein identification , 17th European Conference on Computational Biology 2018 (ECCB 2018) (Sep, 2018)
  • [학술회의] 신현정, 이지현, 조준희, 남용현, 지종호, Immune disease gene ranker , 17th European Conference on Computational Biology 2018 (ECCB 2018) (Sep, 2018)
  • [학술회의] 신현정, 남용현, 조준희, Prediction for orphan drugs using the hierarchical structure of biomedical networks , 17th European Conference on Computational Biology 2018 (ECCB 2018) (Sep, 2018)
  • [학술회의] 신현정, Network based ML Algorithms of Intra-relation, Integration, and Inter-relation for Disease-Drug , The 28th International Conference on Genome Informatics Workshop/ BIOINFO (Nov, 2017)
  • [학술회의] 신현정, 방선주, 이동기, 지종호, Comorbidity Scoring with Causal Disease Networks , The 28th International Conference on Genome Informatics Workshop/ BIOINFO (Oct, 2017)
  • [학술회의] 이경원, 신현정, 손상준, 홍창형, GUO WEN JUN, 김승욱, Data-driven Dementia Diagnosis Record Visualization System , The 10th International Symposium on Visual Information Communication and Interaction (VINCI 2017) (Aug, 2017)
  • [학술회의] 이경원, 이지혜, 한현우, 신현정, 임수현, 손상준, 홍창형, 하효지, 배성윤, A Visualization System to subdivide Dementia Diagnosis Stages , ISMB/ECCB 2017 (Jul, 2017)
  • [학술회의] 이경원, 문성민, 최경철, 신현정, 방선주, 손상준, 홍창형, 배성윤, 임수현, Visualization of Decision Trees that Analyze Medical Data , Computer Graphics International 2017 (Jun, 2017)
  • [학술회의] 이경원, 하효지, 신현정, 배성윤, 손상준, 홍창형, 이지혜, 한현우, Visual Analytics for Biomedical Cluster Subdivision: A Design Study with Psychiatrists , Computer Graphics International 2017 (Jun, 2017)
  • [학술회의] 신현정, 이상국, 이동기, Quantitative Inference on Power Mechanism based on Genealogy Network in Medieval Joseon Korea , 41st Annual Meeting of the Social Science History Association (Nov, 2016)
  • [학술회의] 이경원, 한현우, 배성윤, 신현정, 방선주, 손상준, 홍창형, 하효지, 이지혜, A Visualization System for Clustering Dementia Patients based on Automated Similarity Analysis , IEEE VIS 2016 (Oct, 2016)
  • [학술회의] 신현정, 이동기, 박성홍, Network Mirroring for Drug Repositioning , The 6th Annual Translational Bioinformatics Conference 2016 (TBC 2016) (Oct, 2016)
  • [학술회의] 신현정, 정연훈, 이유리, 남용현, 추옥성, Cascade Recurrent Deep Networks for Audible Range Prediction , Translational Bioinformatics Conference (TBC 2016) (Oct, 2016)
  • [학술회의] 신현정, 이동기, Disease Causality Extraction based on Lexical Semantics and Clause Frequency from Biomedical Literature , Translational Bioinformatics Conference (TBC 2016) (Oct, 2016)
  • [학술회의] 신현정, 남용현, 김명준, An Inference Method from Multi-Layered Structure of Omics , Translational Bioinformatics Conference (TBC 2016) (Oct, 2016)
  • [학술회의] 신현정, 노현웅, 손상준, 배성윤, 이경원, 홍창형, 방선주, 이지혜, Quad-phased Data Mining Modeling for Dementia Diagnosis , Translational Bioinformatics Conference (TBC 2016) (Oct, 2016)
  • [학술회의] 신현정, Machine Learning in Bioinformatics and Translational Disease Network Analysis , Translational Bioinformatics Conference (TBC 2016) (Oct, 2016)
  • [학술회의] 신현정, 남용현, 김명준, Prediction algorithm for multi-layered structure of omics , The 15th European Conference on Computational Biology 2016 (ECCB 2016) (Sep, 2016)
  • [학술회의] 신현정, 이동기, Disease Causality Extraction from PubMed Literatures , The 15th European Conference on Computational Biology 2016 (ECCB 2016) (Sep, 2016)
  • [학술회의] 신현정, 방선주, 김재훈, Causality Modeling for Directed Disease Network , 15th European Conference on Computational Biology 2016 (ECCB 2016) , pp.1 -16 (Sep, 2016)
  • [학술회의] 신현정, 이동기, 방선주, 남용현, Disease Co-occurrence Scoring with Semi-Supervised Learning , The 15th European Conference on Computational Biology 2016 (ECCB 2016) (Sep, 2016)
  • [학술회의] 신현정, A Bit More of Network based ML Algorithms:Intra-relation, Inter-relation, and Integration of Multiple Data and Multiple Layers , The First Korea-Japan Machine Learning Symposium , Vol.2 , No.1 , pp.10 -40 (Jun, 2016)
  • [학술회의] 신현정, 김명준, 남용현, CLASH: Complementary Linkage with Anchoring and Scoring for Heterogeneous BioMolecular and Clinical Data , Proc. of Translational Bioinformatics Conference 2015 (TBC2015) (Nov, 2015)
  • [학술회의] 신현정, 이동기, Human Disease network Comparison: Which is similar with which? , Bio-IT World Conference & Expo'15 , Vol.1 , No.2 , pp.3 -8 (Apr, 2015)
  • [학술회의] 신현정, The Human Disease Network from Bench to Bedside , Bio-IT World Conference & Expo'15 , Vol.1 , No.1 , pp.30 -35 (Apr, 2015)
  • [학술회의] 신현정, 남용현, Increasing connectivity of the human disease network , Bio-IT World Conference & Expo'15 , Vol.1 , No.1 , pp.8 -13 (Apr, 2015)
  • [학술회의] 신현정, 방선주, Disease Causality Network Construction based on Metabolic Pathway , Bio-IT World Conference & Expo'15 , Vol.1 , No.3 , pp.15 -18 (Apr, 2015)
  • [학술회의] 신현정, 이동기, 방선주, 남용현, The Translational Disease Network-from protein interaction to Disease Co-occurrence , The 4th Translational Bioinformatics Conference 2014 (TBC2014) (Oct, 2014)
  • [학술회의] 신현정, 남용현, A Hybrid Cancer Prognosis System based on Semi-Supervised Learning and Decision Trees , The 20th International Conference on Neural Information Processing (Nov, 2013)
  • [학술회의] 신현정, 박강희, Stock Price Prediction based on Hierarchical Structure of Financial Networks , The 20th International Conference on Neural Information Processing (Nov, 2013)
  • [학술회의] 신현정, 남용현, A Coupling Approach of a Predictor and a Descriptor for Breast Cancer Prognosis , The 3rd Annual Translational Bioinformatics Conference (TBC 2013) , pp.18 -19 (Oct, 2013)
  • [학술회의] 손경아, 김도균, 김주한, 신현정, Marylyn D. Ritchie, 정제균, Knowledge Boosting: A graph-based integration with multi-omics data and genomic knowledge for cancer clinical outcome prediction , The 3rd Annual Translational Bioinformatics Conference (TBC/ISCB-Asia 2013) (Oct, 2013)
  • [학술회의] 김도균, 김주한, Marylyn D. Ritchie, 손경아, 신현정, 정제균, Knowledge Boosting: A graph-based integration with multi-omics data and genomic knowledge for cancer clinical outcome prediction , The 3rd Annual Translational Bioinformatics Conference (TBC 2013) , pp.24 -24 (Oct, 2013)
  • [학술회의] 신현정, 김주한, 이수연, 김도균, 정제균, Intra-relation Reconstruction from Inter-relation: miRNA to Gene Expression , 12th International Conference on Bioinformatics (InCoB 2013) (Sep, 2013)
  • [학술회의] 신현정, Computational Biology through Intra-relation, Inter-relation, and Integration of Diverse Genomic Data , The Asian Young Researcher Conference on Computational and Omics Biology (AYRCOB2012) (Dec, 2012)
  • [학술회의] 신현정, 김주현, Breast Cancer Survivability Prediction with Labeled, Unlabeled, and Pseudo-Labeled Patient Data , Proc. of the Translational Bioinformatics Conference 2012 (Oct, 2012)
  • [학술회의] 신현정, 김주현, 이준우, Fraudulent Bill-Claim Detection in Health Insurance , Proc. of the 8th International Conference on Data Mining (ICDM 2012) , pp.50 -56 (Jul, 2012)
  • [학술회의] 신현정, 박강희, Forecasting Stock Price Movement with Semi-Supervised Learning , Proc. of the 8th International Conference on Data Mining (ICDM 2012) , pp.31 -36 (Jul, 2012)
  • [학술회의] 신현정, Machine Learning in Bio-Medical Informatics: Support Vector Machines and Semi-Supervised Learning , Proc. of the 3rd International Workshop on eHealth Data and Knowledge (Mar, 2012)
  • [학술회의] 신현정, 박강희, 이형로, Electricity Demand Forecasting Based on Data Mining Algorithms , Annual Meeting of Institute for Operations Research and the Management Sciences (INFORMS 2011) , Vol.1 , No.1 , pp.314 -314 (Nov, 2011)
  • [학술회의] 신현정, 박강희, 김항석, A Hybrid Model Development for Electricity Energy Price Prediction , Annual Meeting of Institute for Operations Research and the Management Sciences (INFORMS 2011) , Vol.1 , No.1 , pp.337 -337 (Nov, 2011)
  • [학술회의] 신현정, Knowledge Enhancement through Intra-relation, Inter-relation, and Integration of Different Levels of Genomic Data , Translational Bioinformatics Conference 2011(TBC2011) , Vol.1 , No.1 , pp.16 -16 (Nov, 2011)
  • [학술회의] 신현정, 박강희, Ali Amna, 김도균, Breast Cancer Survivability Prediction with Surveillance, Epidemiology, and End Results Database , Translational Bioinformatics Conference 2011(TBC2011) , Vol.1 , No.1 , pp.38 -38 (Nov, 2011)
  • [학술회의] 신현정, 이수연, 김주한, 김도균, Intra-relation Reconstruction from Inter-relation: miRNA to Gene Expression , Translational Bioinformatics Conference 2011(TBC2011) , Vol.1 , pp.35 -35 (Nov, 2011)
  • [학술회의] 홍만표, Ahmed, Irfan, 신현정, 이경석, Fast content-based file-type identification , the Seventh IFIP WG 11.9 International Conferenceon Digital Forensics , Vol.1 , No.1 , pp.334 -343 (Feb, 2011)
  • [학술회의] 신현정, 김주한, 정희준, 송영수, 박찬희, Semantically enabled and statistically supported biological hypothesis testing with tissue microarray databases , 9th Asia Pacific Bioinformatics Conference , Vol.1 , No.1 , pp.118 -164 (Jan, 2011)
  • [학술회의] 신현정, Heterogeneous Multiple Genomic Data Integration for Translational Bioinformatics:the TCGA , 9th Asia Pacific Bioinformatics Conference , Vol.1 , No.1 , pp.173 -188 (Jan, 2011)
  • [학술회의] 신현정, 안열우, Machine Committee Review for Medical Bill-Claim Abuser Detection , International Conference on Internet (ICONI 2010) , Vol.1 , No.1 , pp.174 -178 (Dec, 2010)
  • [학술회의] 신현정, 송영수, 김주한, 김도균, Genomic Data Comparison: Which Data is More Informative? , International Conference on Internet (ICONI 2010) , Vol.1 , No.1 , pp.233 -237 (Dec, 2010)
  • [학술회의] 신현정, 송영수, 김주환, 김도균, Empirical comparison on heterogeneous genomic data: Copy NumberVariation, Methylation, miRNA, and Gene Expression , Proc. of Annual Meeting of Institute for Operations Research and the Management Sciences (INFORMS 2010) (Nov, 2010)
  • [학술회의] 신현정, 안열우, Health-Care Fraud Detection with Machine Committee , Proc. of Annual Meeting of Institute for Operations Research and the Management Sciences (INFORMS 2010) , pp.1 -44 (Nov, 2010)
  • [학술회의] 신현정, 이형로, 박강희, Stock Price Prediction using Hierarchical Network Structure , Proc. of Annual Meeting of Institute for Operations Research and the Management Sciences (INFORMS 2010) (Nov, 2010)
  • [학술회의] 신현정, Recent Trends on Semi-Supervised Learning with Kernels , International Workshop on Recent Trends in Learning, Computation, and Finance (LCF 2010) , Vol.1 , No.1 , pp.71 -84 (Aug, 2010)
  • [학술회의] 이경석, Ahmed, Irfan, 홍만표, 신현정, Fast File-type Identification , The 25th ACM Symposium On Applied Computing (ACM SAC) , Vol.1 , No.1 , pp.10 -11 (Mar, 2010)
  • [학술회의] 신현정, Machine Learning and Applications in Biology , 10th CBI-KSBSB International Joint Conference (CBI-KSBSB 2009) , Vol.1 , No.1 , pp.123 -160 (Nov, 2009)
  • [학술회의] 신현정, 이준우, How to Integrate the Diverse Measures for Hospital Fraud Detection ? , Annual Meeting of Institute for Operations Research and the Management Sciences (INFORMS 2009) , Vol.1 , No.1 , pp.59 -69 (Oct, 2009)
  • [학술회의] 신현정, 박강희, Hou Tianya, Oil Price Prediction From Influence Propagation , Annual Meeting of Institute for Operations Research and the Management Sciences (INFORMS 2009) , Vol.1 , No.1 , pp.370 -380 (Oct, 2009)
  • [학술회의] 김동윤, Anberbir Tadesse, 신현정, Decision Tree Based Segmental Duration Prediction for Amharic TTS system , The IEEE 9th International Symposium on Communication and Information Technologies (ISCIT 2009) , Vol.1 , No.1 , pp.425 -426 (Sep, 2009)
  • [학술회의] 신현정, Hou Tianya, Influence of Noisy and High-Dimensional Data on Semi-Supervised Learning , The 5th International Conference on Data Mining (ICDM 2009) , Vol.1 , No.1 , pp.267 -273 (Jul, 2009)
  • [학술회의] 이경석, 홍만표, Ahmed, Irfan, 신현정, On Improving the Accuracy and Performance of Content-Based File Type Identification , Australasian Conference on Information Security and Privacy (LNCS) , Vol.5594 , pp.44 -59 (Jul, 2009)
  • [학술회의] 김민구, 최종필, Khan,Muhammad Umer, 신현정, “wFDT - Weighted Fuzzy Decision Trees for Prognosis of Breast Cancer Survivability , The seventh Australasian Data Mining Conference , Vol.87 , No.1 , pp.141 -152 (Nov, 2008)
  • [학술회의] 신현정, 최인애, Semi-supervised Learning with Ensemble Learning and Graph Sharpening , The IEEE 9th International Conference on Automated Learning (IEEE IDEAL 2008) , Vol.5326 , No.1 , pp.172 -179 (Nov, 2008)
  • [학술회의] 김민구, 최종필, Khan,Muhammad Umer, 신현정, Predicting breast cancer survivability using fuzzy decision trees for personalized healthcare , 30th Annual International IEEE EMBS Conference , Vol.1815 , No.2 , pp.5148 -5151 (Aug, 2008)
  • [학술회의] 신현정, 황성섭, 이형주, Douglas MacLachlan, 조성준, Semi-Supervised Learning for Response Modeling , 2008 INFORMS Marketing Science Conference , Vol.1 , No.1 , pp.1010 -1031 (Jun, 2008)
  • [학술회의] 신현정, Machine Learning and Applications in Biology , BIOKOREA2007 Conference & Exibition , Vol.3 , No.1 , pp.337 -366 (Sep, 2007)
  • [학술회의] 신현정, A.M. Lisewski, O. Lichtarge, Graph-based Protein Functional Classification , BIOCOMP2007 (International Conference on Bioinformatics & Computational Biology) , Vol.1 , No.1 , pp.342 -348 (Jun, 2007)
국내학술발표
  • [학술회의] 신현정, 신현진, 김수영, 방선주, 기계학습 알고리즘을 활용한 갑상선암 재발의 위험요소 추출 및 예측모델 개발 , 2019 대한산업공학회 추계학술대회 (Nov, 2019)
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  • [학술회의] 신현정, ML Fundamentals and Beyond: Algorithms for Graph Types of Data , AI KOREA 2019 (Jul, 2019)
  • [학술회의] 신현정, 유전체(Genome), 질병네트워크(Diseasome) 및 의약 네트워크(Drugome)를 위한 최적의 AI 알고리즘 개발 동향과 주요과제 및 기대효과 , 바이오헬스 육성을 위한- AI 신약개발 최신 분석과 실증사례 세미나 (Jul, 2019)
  • [학술회의] 신현정, 김수영, 조은성, 방선주, 신현진, 머신러닝을 활용한 갑상선암 예후 및 재발 예측 , 2019 한국데이터마이닝학회 춘계학술대회 (KDMS 2019 Spring) (Apr, 2019)
  • [학술회의] 신현정, 김명준, Error Analysis for Hierarchical Semi-Supervised Learning , 2019 한국데이터마이닝학회 춘계학술대회 (KDMS 2019 Spring) (Apr, 2019)
  • [학술회의] 신현정, 이동기, 김명준, Historical Faction Identification based on Multi-Layered Genealogy Network in Medieval Joseon Korea , 2018 한국소프트웨어종합학술대회 Korea Software Congress 2018 (KSC2018) (Dec, 2018)
  • [학술회의] 신현정, 지종호, Wasserstein 거리를 이용한 feature selection , 2018 한국소프트웨어종합학술대회 Korea Software Congress 2018 (KSC2018) (Dec, 2018)
  • [학술회의] 신현정, 신현준, 신유경, 결측치 대체를 위한 상관성 그래프 기반 속성값 전파 , 2018 한국소프트웨어종합학술대회 Korea Software Congress 2018 (KSC2018) (Dec, 2018)
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  • [학술회의] 신현정, 박성홍, 박강희, 재무정보를 활용한 기계학습 기반 기업평가 모델 설계 , 2018 한국소프트웨어종합학술대회 Korea Software Congress 2018 (KSC2018) (Dec, 2018)
  • [학술회의] 신현정, Artificial Intelligence and Machine Learning for Genome, Diseasome and Drugome , 3rd ARTEC Symposium | 제3회 난치성갑상선내분비암연구회 심포지엄 및 2018년도 4차산업과 수학 콜로퀴엄 (Dec, 2018)
  • [학술회의] 신현정, Machine Learning Algorithms for Genome, Diseasome and Drugome Networks , Drug Discovery with AI & Machine learning 2018 (Dec, 2018)
  • [학술회의] 신현정, 김명준, 이동기, 다양한 바이오메디컬 데이터를 활용한 질병 인과관계 체인 탐색 , 한국데이터마이닝학회 2018 추계학술대회 (Nov, 2018)
  • [학술회의] 신현정, 신현준, 신유경, Missing Value Imputation with Correlation Graph based Attribute Value Propagation , 한국데이터마이닝학회 2018 추계학술대회 (Nov, 2018)
  • [학술회의] 신현정, 이동기, 박성홍, 준지도학습을 활용한 SentiWordNet기반 한글 감성사전 구축 , 한국데이터마이닝학회 2018 추계학술대회 (Nov, 2018)
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  • [학술회의] 신현정, 손상준, 이동기, SNP-유전자-질병 계층적 네트워크를 이용한 치매 관련 핵심 유전자 순위화 , 한국데이터마이닝학회 2018 추계학술대회 (Nov, 2018)
  • [학술회의] 신현정, 박성홍, 이동기, k-최단 경로 탐색 알고리즘을 이용한 질병 인과관계 체인 탐색 방법 , 2018 한국컴퓨터종합학술대회 Korea Computer Congress 2018 (KCC2018) (Jun, 2018)
  • [학술회의] 신현정, 이동기, 박성홍, SentiWordNet을 활용한 기계학습 기반 한글 감성사전 구축 , 2018 한국컴퓨터종합학술대회 Korea Computer Congress 2018 (KCC2018) (Jun, 2018)
  • [학술회의] 신현정, 김명준, 의사역행렬을 활용한 오토인코더 가중치 학습 , 2018 한국컴퓨터종합학술대회 Korea Computer Congress 2018 (KCC2018) (Jun, 2018)
  • [학술회의] 신현정, 방선주, Min-cut 알고리즘을 활용한 질병 대사경로 분석 방법 , 2018 한국컴퓨터종합학술대회 Korea Computer Congress 2018 (KCC2018) (Jun, 2018)
  • [학술회의] 신현정, 남용현, 유전체 네트워크의 일반성과 특이성을 반영한 질환-유전자 예측 , 2018 한국컴퓨터종합학술대회 Korea Computer Congress 2018 (KCC2018) (Jun, 2018)
  • [학술회의] 신현정, 남용현, 조준희, 바이오메디컬 네트워크의 계층구조를 활용한 희귀질환 약물 예측 , 2018 한국컴퓨터종합학술대회 Korea Computer Congress 2018 (KCC2018) (Jun, 2018)
  • [학술회의] 신현정, 지종호, Wasserstein Loss를 이용한 모델 파라미터 학습 , 2018 한국컴퓨터종합학술대회 Korea Computer Congress 2018 (KCC2018) (Jun, 2018)
  • [학술회의] 신현정, 조준희, 박성홍, 기계학습을 통한 감성사전 구축 및 고객 평가분석 , the Business Intelligence and Data Mining Conference (BIDM 2018 Spring) (Apr, 2018)
  • [학술회의] 신현정, 이동기, 혼합 텍스트 클러스터를 통한 매칭 조합 공간 축소 , 한국정보과학회 KSC 2017 (Dec, 2017)
  • [학술회의] 신현정, 김명준, 다계층 네트워크 준지도학습 근사해에 대한 에러분석 , 한국정보과학회 KSC 2017 (Dec, 2017)
  • [학술회의] 신현정, 박성홍, 감성분석에서의 단어의 극성확장 및 감정유발요소 분석 , 한국정보과학회 KSC 2017 (Dec, 2017)
  • [학술회의] 신현정, 남용현, 이질적 데이터를 활용한 네트워크 강화 , 한국정보과학회 KSC 2017 (Dec, 2017)
  • [학술회의] 신현정, Network based Machine Learning Inference on Diseases and Drugs , 난치성갑상선내분비암연구회 심포지엄 ARTEX 1st Symposium (Dec, 2017)
  • [학술회의] 신현정, ML Optimization , 2017 Pattern Recognition & Machine Learnig School (PRML Summer) (Jul, 2017)
  • [학술회의] 신현정, 이동기, 박성홍, Mirroring Disease Networks for Drug Repositioning , the Korean Society for Cognitive Science (KSCS 2017) (May, 2017)
  • [학술회의] 신현정, 이동기, Disease Causality Extraction with Text Mining from PubMed Abstracts , the Korean Society for Cognitive Science (KSCS 2017) (May, 2017)
  • [학술회의] 신현정, 지종호, Predicting the changes of financial and economic indicators based on the causal network model , the Korean Society for Cognitive Science (KSCS 2017) (May, 2017)
  • [학술회의] 신현정, 남용현, Complementation for disease network using Heterogeneous data , the Korean Society for Cognitive Science (KSCS 2017) (May, 2017)
  • [학술회의] 신현정, 남용현, 김명준, Prediction Algorithm for Multi-Layered Structure of Biomedical Data , the Korean Society for Cognitive Science (KSCS 2017) (May, 2017)
  • [학술회의] 신현정, 노현웅, 이지혜, 배성윤, 홍창형, 손상준, 방선주, 이경원, Dementia diagnosis with quad-phased data mining , the Korean Society for Cognitive Science (KSCS 2017) (May, 2017)
  • [학술회의] 신현정, 김명준, 이상국, 이동기, 기계학습을 통한 조선시대 훈구파와 사림파의 대립 양상 추론 , 제14회 2017 Buisiness Intelligence Conference (BIDM 2017 Spring) (Apr, 2017)
  • [학술회의] 신현정, 지종호, 인과관계 네트워크 모델에 기반한 금융경제 지표의 등락 예측 , 제14회 2017 Buisiness Intelligence Conference (BIDM 2017 Spring) (Apr, 2017)
  • [학술회의] 신현정, 김명준, 이상국, 이동기, Historical Big Data Analysis with Machine Learning: Quantitative Inference on Power Mechanism in Medieval Joseon Korea , The AHIRG (Ajou History-oriented Interdisciplinary Research Group) Conference From Qualitative Research To Quantitative Research: Diffusion of Digital History and Comparative Research (Mar, 2017)
  • [학술회의] 신현정, AI Applications: BioMedical Domain , The Korean Institute of Communications and Information Sciences(KICS) (Mar, 2017)
  • [학술회의] 신현정, Convex Optimization for Machine Learners , Software Convergence Symposium 2017 (SWCS 2017) (Jan, 2017)
  • [학술회의] 신현정, 신윤정, 방선주, 유전자, 임상, 대사경로 데이터를 활용한 질병간 인과관계 분석방법 , 2016 한국BI데이터마이닝학회 추계학술대회 (Nov, 2016)
  • [학술회의] 신현정, 이동기, 박성홍, 신약재창출을 위한 기계학습 네트워크 알고리즘 , 2016 한국BI데이터마이닝학회 추계학술대회 (Nov, 2016)
  • [학술회의] 신현정, 남용현, 김명준, An inference algorithm using inter-connectivity in multi-layered structure of omics , 한국생물정보시스템생물학회 정기학술대회 (BIOINFO 2016) (Aug, 2016)
  • [학술회의] 신현정, 이유리, 정연훈, 남용현, 추옥성, Audible range prediction for hearing aids using neural networks , 한국생물정보시스템생물학회 정기학술대회 (BIOINFO 2016) (Aug, 2016)
  • [학술회의] 신현정, 김재훈, 방선주, Directed Network for Causalities between Diseases using Biomedical Data , 한국생물정보시스템생물학회 정기학술대회 (BIOINFO 2016) (Aug, 2016)
  • [학술회의] 신현정, 이동기, Causal Disease Network via Biomedical Literature Mining , 한국생물정보시스템생물학회 정기학술대회 (BIOINFO 2016) (Aug, 2016)
  • [학술회의] 신현정, Diverse Machine Learning Applications based on Disease Networks , 한국생물정보시스템생물학회 정기학술대회 (BIOINFO 2016) (Aug, 2016)
  • [학술회의] 신현정, 이동기, 박성홍, Drug Repositioning with Disease Network Reflection , 한국생물정보시스템생물학회 정기학술대회 (BIOINFO 2016) (Aug, 2016)
  • [학술회의] 신현정, 김명준, 남용현, Complementation for Disease Network using Semi-Supervised Learning , 한국생물정보시스템생물학회 정기학술대회 (BIOINFO 2016) (Aug, 2016)
  • [학술회의] 신현정, 손상준, 홍창형, 방선주, Tri-phase Data Mining Modeling for Dementia Diagnosis , 대한산업공학회 2016 춘계공동학술대회 (Apr, 2016)
  • [학술회의] 신현정, 김강윤, 방선주, 정윤호, 엄은형, 김소담, 유제훈, 드론을 이용한 도서지역의 효율적인 운송시스템 구축을 위한 데이터 분석 , 대한산업공학회 2016 춘계공동학술대회 (Apr, 2016)
  • [학술회의] 신현정, 남용현, 김명준, 이상국, Semi-Supervised Learning for Stratified Networks , 대한산업공학회 2016 춘계공동학술대회 (Apr, 2016)
  • [학술회의] 신현정, 정연훈, 추옥성, 남용현, Audible range prediction for hearing aids using cascade recurrent neural networks , 대한산업공학회 2016 춘계공동학술대회 (Apr, 2016)
  • [학술회의] 신현정, 김연수, 이동기, 고영환, 경동환, 신윤정, 박찬민, 미래 과수 재배 및 재배지 추천을 위한 데이터 분석 , 대한산업공학회 2016 춘계공동학술대회 (Apr, 2016)
  • [학술회의] 신현정, 이상국, 이동기, Inference on Power Mechanism in Historical Data with Semi-Supervised Learning , Proc. of Joint Conference on Management Science and Industrial Engineering (MSIE 2016) (Apr, 2016)
  • [학술회의] 신현정, 신강식, 박성홍, 김경혜, 김민수, 한지우, 이길용, 성공적인 동계올림픽 개최를 위한 평창 발전방안 제시 , 대한산업공학회 2016 춘계공동학술대회 (Apr, 2016)
  • [학술회의] 신현정, 이상국, 김명준, 남용현, Semi-Supervised Learning using inter-connectivity in a Hierarchical Network , The Business Intelligence and Data Mining Conference (BIDM 2016 Spring) (Apr, 2016)
  • [학술회의] 신현정, 손상준, 홍창형, 방선주, 임상데이터를 활용한 치매진단 모델링 , The Business Intelligence and Data Mining Conference (BIDM 2016 Spring) (Apr, 2016)
  • [학술회의] 신현정, 추옥성, 정연훈, 남용현, Cascade recurrent neural network for audible range prediction , The Business Intelligence and Data Mining Conference (BIDM 2016 Spring) (Apr, 2016)
  • [학술회의] 신현정, 이상국, 이동기, 기계학습을 활용한 조선시대 권력구조 추론: 조선왕조실록과 성화보 중심사례 , The Business Intelligence and Data Mining Conference (BIDM 2016 Spring) (Apr, 2016)
  • [학술회의] 신현정, 이동기, Causal Relation Extraction between Diseases from Biomedical Literatures , Proc. of the Business Intelligence and Data Mining Conference (BIDM 2015 Fall) (Nov, 2015)
  • [학술회의] 신현정, 방선주, Causality Modeling for Directed Disease Network: Pathway based Causality Mode , Proc. of the Business Intelligence and Data Mining Conference (BIDM 2015 Fall) (Nov, 2015)
  • [학술회의] 신현정, 박성홍, 방선주, 외부정보를 활용한 무방향성 그래프의 방향성 부여 방법 , 2015년 춘계공동학술대회 Korea Institute of Industrial Engineers , Vol.2 , No.1 , pp.10 -15 (Apr, 2015)
  • [학술회의] 신현정, 이동기, 다양한 네트워크 비교를 위한 척도 , 2015년 춘계공동학술대회 Korea Institute of Industrial Engineers , Vol.8 , No.1 , pp.15 -19 (Apr, 2015)
  • [학술회의] 신현정, 남용현, 이종정보를활용한질병네트워크상의결측노드연결방법 , 2015년 춘계공동학술대회 Korea Institute of Industrial Engineers , Vol.1 , No.1 , pp.8 -15 (Apr, 2015)
  • [학술회의] 신현정, 김승빈, 유태준, 정혜두, 최영빈, 제주도 관광열차 도입 제안을 위한 데이터 분석 , 2015년 춘계공동학술대회 Korea Institute of Industrial Engineers , Vol.1 , No.3 , pp.33 -37 (Apr, 2015)
  • [학술회의] 신현정, 심무진, 안용균, 박승민, 탄소배출량 예측 및 거래 방안에 관한 분석 , 2015년 춘계공동학술대회 Korea Institute of Industrial Engineers , Vol.2 , No.1 , pp.15 -20 (Apr, 2015)
  • [학술회의] 신현정, 이준명, 정희수, 장근철, 임병호, 자연재해는 과연 自然의 영역인가? , 2015년 춘계공동학술대회 Korea Institute of Industrial Engineers , Vol.1 , No.2 , pp.16 -20 (Apr, 2015)
  • [학술회의] 신현정, 이동기, 다양한 질병 네트워크 비교를 위한 세분화된 척도 , 한국 BI 데이터마이닝학회 2015 춘계학술대회 Data Analysis for Healthcare , Vol.1 , No.5 , pp.5 -9 (Apr, 2015)
  • [학술회의] 신현정, 방선주, 질병간 인과관계 분석을 위한 방향성 네트워크 구축 , 한국 BI 데이터마이닝학회 2015 춘계학술대회 Data Analysis for Healthcare , Vol.2 , No.1 , pp.10 -15 (Apr, 2015)
  • [학술회의] 신현정, 이동기, 방선주, 남용현, Disease Association and Scoring System based on BioMedical Big Data , 한국BI데이터마이닝학회 2014 추계학술대회 (Nov, 2014)
  • [학술회의] 신현정, 박찬규, 남용현, 신재생에너지 발전원 및 에너지 저장장치 조합에 관한 최적화 모형 , 2014 Business Intelligence & Data Mining Conference (Apr, 2014)
  • [학술회의] 신현정, 박찬규, 이동기, 대기업 계열사 순환출자 해소를 위한 최적화 모형 , 2014 Business Intelligence & Data Mining Conference (Apr, 2014)
  • [학술회의] 신현정, 남용현, Breast Cancer Survivability Prediction System based on Semi-supervised learning and Decision Tree , 2013 대한의료정보학회 및 한국생물정보시스템생물학회 추계학술대회 (Nov, 2013)
  • [학술회의] 신현정, 김주현, Enhancing the Performance of Semi Supervised Learning with Pseudo-Labeled Data , Business Intelligence and Data Mining Conference (Dec, 2012)
  • [학술회의] 신현정, 박강희, Portfolio Selection with Dissimilar Stocks & Price Prediction from Similar Stocks , Business Intelligence and Data Mining Conference (Nov, 2012)
  • [학술회의] 신현정, Data Mining on BioMedical Big Data , The Korean Society of Medical Informatics (KOSMI) , pp.115 -161 (Jun, 2012)
  • [학술회의] 신현정, 노희용, 김병섭, Disease World-Map based on Climate and Socio-Economic Indices , Proc. of Joint Conference on Management Science and Industrial Engineering (May, 2012)
  • [학술회의] 신현정, 박강희, Stock Price Prediction with Sigmoidal Labels and Similarities , Proc. of Joint Conference on Management Science and Industrial Engineering (May, 2012)
  • [학술회의] 신현정, 박강희, Stock Price Prediction with SSL: Comparison on Diverse Similarity Measures , Proc. of the Business Intelligence and Data Mining Conference (Apr, 2012)
  • [학술회의] 신현정, 김주현, Fraudulent Bill claim Abuser Detection in Health care with Boosted Samples from Co-training , Proc. of the Business Intelligence and Data Mining Conference (Apr, 2012)
  • [학술회의] 신현정, Semi-Supervised Learning , 2012 Pattern Recognition and Machine Learning Winter School (Feb, 2012)
  • [학술회의] 신현정, 박강희, Stock Price Prediction within Bounds , Conference on Business Intelligence & Data Mining (BIDM 2011) , Vol.1 , No.1 , pp.239 -264 (Dec, 2011)
  • [학술회의] 신현정, 이형로, A Study on Medium and Long-term Electricity Demand Forecasting using SVR , Conference on Business Intelligence & Data Mining (BIDM 2011) , Vol.1 , No.1 , pp.175 -193 (Dec, 2011)
  • [학술회의] 신현정, 김도균, 김주한, Cancer clinical outcome prediction based on inter-relationship between miRNA and gene expression , Conference on Business Intelligence & Data Mining (BIDM 2011) , Vol.1 , No.1 , pp.277 -298 (Dec, 2011)
  • [학술회의] 신현정, 박강희, 김항석, EEPP-SSLANN: 전기에너지-가격예측을 위한 하이브리드 모델 개발 , Joint Conference on Management Science and Industrial Engineering (MSIE 2011) , Vol.1 , No.1 , pp.10 -26 (Jul, 2011)
  • [학술회의] 신현정, Large Scale Medical Database Mining: Abuse and Fraud Detection , Conference on The Korean Society of Health Information & Health Statistics Conference (KOSHIS 2011) , Vol.1 , No.1 , pp.79 -106 (Jun, 2011)
  • [학술회의] 신현정, 박강희, 이형로, 기계학습 알고리즘에 기반한 전력 수요 예측 , Joint Conference on Management Science and Industrial Engineering (MSIE 2011) , Vol.1 , No.1 , pp.92 -118 (May, 2011)
  • [학술회의] 신현정, 박강희, 김항석, Semi-Supervised Learning과 Neural Network을 이용한 전기가격 예측 , Conference on Business Intelligence & Data Mining (BIDM 2011 Spring) , Vol.1 , No.1 , pp.20 -55 (Apr, 2011)
  • [학술회의] 김주한, 김도균, 신현정, 송영수, Integrative Molecular-based Classification of Clinical Outcomes in Cancer , Business Intelligence and Data Mining Conference(BIDM 2010 Fall) , pp.34 -58 (Dec, 2010)
  • [학술회의] 신현정, 김민구, 안열우, 김도균, Ali Amna, 박강희, Prediction of Breast Cancer Survivability: To Alleviate Oncologists in Decision Making , Business Intelligence and Data Mining Conference(BIDM 2010 Fall) , pp.80 -92 (Dec, 2010)
  • [학술회의] 신현정, 이형로, Preliminary Study on Energy Demand Forecasting for District Heating System , Business Intelligence and Data Mining Conference(BIDM 2010 Fall) , pp.110 -127 (Dec, 2010)
  • [학술회의] 신현정, 박강희, Stock Price Forecasting based on Hierarchical and Causal Relation , Business Intelligence and Data Mining Conference(BIDM 2010 Fall) , pp.40 -55 (Dec, 2010)
  • [학술회의] 신현정, Data Mining for BioMedical Informatics , Korean Operations Research and Management Science Society Conference (KORMS 2010) , pp.507 -531 (Oct, 2010)
  • [학술회의] 신현정, 박강희, Stock Price Forecasting using Semi-Supervised Learning , Korean Operations Research and Management Science Society Conference (KORMS 2010) , pp.110 -116 (Oct, 2010)
  • [학술회의] 신현정, 안열우, Medical Bill-Claim Review & Assessment with ‘Machine’ Committee , Proc. of the Korean Institute of Industrial Engineers Conference (Jun, 2010)
  • [학술회의] 신현정, 송영수, 김주환, 김도균, Cancer Recurrence Prediction using Machine Learning , Proc. of the Korean Institute of Industrial Engineers Conference (Jun, 2010)
  • [학술회의] 신현정, 박강희, Stock Price Prediction using Global Economic-Financial Indicators , Proc. of the Korean Institute of Industrial Engineers Conference (Jun, 2010)
  • [학술회의] 신현정, 이경석, Ahmed, Irfan, 홍만표, Computer Forensics with Data Mining: File-Type Identification , Proc. of the Business Intelligence and Data Mining Conference (BIDM 2010) , pp.110 -123 (Apr, 2010)
  • [학술회의] 이성주, 신현정, 조영란, HMM based Patent Trend Clustering , Proc. of the Business Intelligence and Data Mining Conference (BIDM 2010) , pp.124 -136 (Apr, 2010)
  • [학술회의] 신현정, Large Scale Medical Database Mining: Abuse and Fraud Detection , Proc. of 2010 4th Conference on Biomedical Informatics: Clinical Research Informatics and Bio?Bank (CRIBB 2010) , pp.117 -197 (Mar, 2010)
  • [학술회의] 신현정, 안열우, Novelty Detection Adaptive To Concept Drift , Business Intelligence and Data Mining Conference (BIDM 2009 Fall) , Vol.1 , No.1 , pp.11 -22 (Nov, 2009)
  • [학술회의] 신현정, 이준우, Medical Bill-Claim Abuser Detection , Business Intelligence and Data Mining Conference (BIDM 2009 Fall) , Vol.1 , No.1 , pp.50 -65 (Nov, 2009)
  • [학술회의] 신현정, 박강희, Hou Tianya, 박찬규, 최성희, Time Series Prediction with Semi-Supervised Learning: West Texas Oil Price Forecasting , Conference on Management Science and Industrial Engineering (MSIE 2009) , Vol.1 , No.1 , pp.34 -49 (May, 2009)
  • [학술회의] 신현정, 지원철, 이준우, 박하영, Medical Fraud Detection System Using Data Mining , Conference on Korea IT Service (KSIT 2009 spring) , Vol.1 , No.1 , pp.28 -42 (May, 2009)
  • [학술회의] 신현정, 박강희, Hou Tianya, Crude Oil Price Prediction based on Semi-Supervised Learning , Conference on Business Intelligence and Data Mining Conference (BIDM 2009 Spring) , Vol.1 , No.1 , pp.417 -436 (Apr, 2009)
  • [학술회의] 신현정, 이준우, 박강희, 박하영, 지원철, A Composite Index for Hospital Fraud Detection , Business Intelligence and Data Mining , Vol.1 , No.1 , pp.55 -64 (Nov, 2008)
  • [학술회의] 신현정, 최인애, Response Modeling with Ensemble of Sharpened Graphs , Business Intelligence and Data Mining , Vol.1 , No.1 , pp.10 -25 (Nov, 2008)
  • [학술회의] 신현정, 최인애, Hou Tianya, How Robust Semi-Supervised Learning against Noise and High Dimensionality , Business Intelligence and Data Mining Conference , Vol.1 , No.1 , pp.31 -39 (Nov, 2008)
  • [학술회의] 신현정, 이준우, 박강희, 박하영, 지원철, Chronic Fraud Detection for Health Insurance Review , Business Intelligence and Data Mining , Vol.1 , No.1 , pp.65 -74 (Nov, 2008)
  • [학술회의] 신현정, 최인애, 박강희, 이준우, 박하영, 지원철, A Composite Index for Anomaly Detection from Hospital Bill Claim , Korean Society of Medical Informatics Conference (KOSMI) , Vol.1 , No.1 , pp.10 -15 (Nov, 2008)
  • [학술회의] 신현정, 최인애, 박강희, 이준우, 박하영, 지원철, Fraud Detection from Serial Patterns of Hospital Bill Claims , Korean Society of Medical Informatics Conference (KOSMI) , Vol.1 , No.1 , pp.5 -9 (Nov, 2008)
  • [학술회의] 신현정, 최인애, 이준우, 박하영, 지원철, A Quantitative Measure Integrating the Diverse Degrees of Anomaly for Hospital Bill Claim , Korean Institute of Industrial Engineers Conference , Vol.1 , No.1 , pp.25 -33 (Nov, 2008)
  • [학술회의] 신현정, 최인애, 박강희, 박하영, 지원철, Chronic Delinquency Index for Hospital Bill Claim , Korean Institute of Industrial Engineers Conference , Vol.1 , No.1 , pp.34 -44 (Nov, 2008)
  • [학술회의] 신현정, 황성섭, 이형주, Douglas MacLachlan, 조성준, Response Modeling with Latent Respondents , Korean Business Intelligence and Data Mining , Vol.1 , No.1 , pp.20 -45 (Apr, 2008)
  • [학술회의] 신현정, 최인애, 앙상블기법과 그래프샤프닝을 이용한 Semi-supervised Learning의 학습 성능 향상 및 안정화 , 한국데이터마이닝학회 추계학술대회 , Vol.1 , No.1 , pp.251 -262 (Nov, 2007)
저서 및 번역
  • [저서] 조성준, 조재희, 이성임, 김성범, 신현정, 조성배, Data Mining for Business Analytics: Concepts, Techniques, and Applications in R (Sep, 2018)
  • [저서] 조성준, 김성범, 조성배, 이성임, 신현정, 조재희, (비즈니스 애널리틱스를 위한) 데이터마이닝 (Aug, 2017)
  • [저서] 신현정, 조재희, 조성배, 이성임, 조성준, 김성범, 비즈니스 인텔리전스를 위한 데이터마이닝 , pp.145-308 (Jun, 2012)
특허 및 기타
  • [특허] 신현정, 질병 네트워크로부터 동반 발병 확률을 제공하는 방법 (등록) (10,297,349) (R0420US) (May, 2019)
  • [특허] 이경원, 한현우, 신현정, 이지혜, 홍창형, 손상준, 하효지, 배성윤, 다차원 데이터를 위한 시각화 방법 및 장치 (등록) (10-1955421) (Feb, 2019)
  • [특허] 신현정, 이지현, 질병 관련 유전자 순위정보 제공 방법 (출원) (10-2018-0050153) (Apr, 2018)
  • [특허] 이경원, 손상준, 배성윤, 하효지, 한현우, 이지혜, 홍창형, 신현정, VISUALIZATION METHOD AND DEVICE FOR MULTI-DIMENSIONAL DATA ANALYSIS (출원) (15/821,981) (R0420US) (Nov, 2017)
  • [특허] 신현정, 단백질-단백질 상호작용 네트워크로부터 질병 네트워크를 구성하는 방법 (등록) (10-1767142) (Aug, 2017)
  • [특허] 신현정, 질병 네트워크로부터 동반 발병 확률을 제공하는 방법 (등록) (10-1721528) (Mar, 2017)
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