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교수소개

전임교수

  • 부교수 빅데이터처리&자연어처리&인공지능
  • 오하영 홈페이지 바로가기

관심분야

소셜정보망 분석, 추천시스템, 데이터분석 및 인공지능

학력

  • 서울대학교 컴퓨터공학과 (Ph.D)

약력/경력

  • 숭실대학교 조교수(2013.09-2016.08), 아주대학교 조교수(2016.09-2020.02), U.C.Berkeley 방문연구원(2010.04-2010.10)

학술지 논문

  • (2023)  Dynamic Automated Labeling System for Real-Time User Intention Analysis.  IEEE ACCESS.  11,  1
  • (2023)  Topic Modeling-Based Framework for Extracting Marketing Information From E-Commerce Reviews.  IEEE ACCESS.  11,  1
  • (2023)  Marketing Insights from Reviews Using Topic Modeling with BERTopic and Deep Clustering Network.  APPLIED SCIENCES-BASEL.  13,  16
  • (2023)  Depression Emotion Multi-Label Classification Using Everytime Platform With DSM-5 Diagnostic Criteria.  IEEE ACCESS.  11,  1
  • (2023)  Which Influencers Can Maximize PCR of E-Commerce?.  ELECTRONICS.  12,  12
  • (2023)  멀티모달 딥러닝을 이용한 우울증 진단 모델.  한국정보통신학회논문지.  27,  5
  • (2023)  우울 증상 완화를 위한 공감형 챗봇 개발에 관한 연구.  한국정보통신학회논문지.  27,  5
  • (2023)  Are You Depressed? Analyze User Utterances to Detect Depressive Emotions Using DistilBERT.  APPLIED SCIENCES-BASEL.  13,  10
  • (2023)  AI-Based Degradation Index from the Microstructure Image and Life Prediction Models Based on Bayesian Inference.  SUSTAINABILITY.  15,  9
  • (2023)  Generalized Image Captioning for Multilingual Support.  APPLIED SCIENCES-BASEL.  13,  4
  • (2021)  Low-complexity sparse-aware multiuser detection for large-scale MIMO systems.  EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING.  2021,  1
  • (2020)  Security-aware fair transmission scheme for 802.11 based cognitive IoT.  International Journal of Electrical and Computer Engineering.  10,  3
  • (2019)  Q2YouTube: Quantitative and Qualitative Information Analysis based Influencer-aware YouTube Channel Ranking Scheme.  Advances in Science, Technology and Engineering Systems.  4,  6
  • (2018)  Influence Maximization Scheme against Various Social Adversaries.  J. lnf. Commun. Converg. Eng.  16,  4
  • (2018)  Power Users Are Not Always Powerful: the Effect of Social Trust Clusters in Recommender Systems.  INFORMATION SCIENCES.  1,  15
  • (2018)  Trustor Clustering with an Improved Recommender System Based on Social Relationships.  INFORMATION SYSTEMS.  77,  1

학술회의논문

  • (2023)  Can a chatbot be useful in childhood cancer survivorship? Development of a chatbot for survivors of childhood cancer.  ACM Conference on Information and Knowledge Management.  영국