교수소개

신유현 사진

교수

신유현
직위(직급)
교수
전화번호
032-835-8426
이메일
yhshin@inu.ac.kr
사이트
https://sites.google.com/view/inudi
연구분야
인공지능, 자연어처리
세부내용

연구실적

 

<논문>

- 계층적 표현 및 레이블 임베딩을 활용한 국내 논문 문장 의미 분류 모델,정보과학회논문지 ,51() ,1,PP.41~48 ,2024.01.15

- An Efficient Document Retrieval for Korean Open-Domain Question Answering Based on ColBERT,Applied Sciences-Basel ,2023.12.11

- Gradual OCR: An Effective OCR Approach Based on Gradual Detection of Texts,Mathematics ,11() ,22,2023.11.09

- Applying Object Detection and Embedding Techniques to One-Shot Class-Incremental Multi-Label Image Classification,Applied Sciences-Basel ,13() ,18,2023.09.19

- 효과적인 개인화 결합 방식 및 BERT를 활용한 리뷰 기반 개인화 추천시스템,정보과학회논문지 ,50() ,8,2023.08.15

- Multi-Encoder Transformer for Korean Abstractive Text Summarization,IEEE Access ,11,PP.48768~48782 ,2023.05.18

- Using Multiple Monolingual Models for Efficiently Embedding Korean and English Conversational Sentences,Applied Sciences-Basel ,13() ,9,2023.05.07

- Text Processing Education Using a Block-Based Programming Language,IEEE Access ,2022.12.08

- A Block-Based Interactive Programming Environment for Large-Scale Machine Learning Education,Applied Sciences-Basel ,12() ,24,2022.12.01

- Novel Scratch Programming Blocks for Web Scraping,Electronics ,11() ,16,2022.08.01

- 이미지 분류를 위한 대화형 인공지능 블록 개발,정보교육학회논문지 ,25() ,6,PP.1015~1024 ,2021.12.31

- Tooee: A Novel Scratch Extension for K-12 Big Data and Artificial Intelligence Education Using Text-Based Visual Blocks,IEEE Access ,9() ,PP.149630~149646 ,2021.11.02

- Learning Context Using Segment-Level LSTM for Neural Sequence Labeling,IEEE-ACM Transactions on Audio Speech and Language Processing ,28() ,PP.105~115 ,2020.01.01

- Comparing the Effectiveness of Scratch and App Inventor with Regard to Learning Computational Thinking Concepts,Electronics ,8() ,11,2019.11.01

- Utterance Generation With Variational Auto-Encoder for Slot Filling in Spoken Language Understanding,IEEE SIGNAL PROCESSING LETTERS ,26() ,3,PP.505~509 ,2019.01.24

- Improving the integrated experience of in-class activities and fine-grained data collection for analysis in a blended learning class,INTERACTIVE LEARNING ENVIRONMENTS ,26() ,5,PP.597~612 ,2018.07.04