2001 | A case-based approach using inductive indexing for corporate bond rating | 신경식 | Article |
2022 | A CNN and LSTM-based hybrid deep learning model for Twitter Sentiment Analysis | NIEMEYER, OLIVIA | Master's Thesis |
2007 | A framework for workgroup collaboration in a virtual environment: Theoretical synthesis and empirical exploration | 신경식; 서아영 | Conference Paper |
2004 | A GA-based fuzzy decision tree approach for corporate bond rating | 신경식; 김현정 | Conference Paper |
2011 | A GA-based Input Vector Normalization Approach in Back-Propagation Neural Network Modeling for Bankruptcy Prediction | 태추월 | Doctoral Thesis |
2002 | A genetic algorithm application in bankruptcy prediction modeling | 이용주; 신경식 | Article |
2007 | A hybrid approach based on neural networks and genetic algorithms for detecting temporal patterns in stock markets | 신경식 | Article |
2003 | A hybrid approach using case-based reasoning and fuzzy logic for corporate bond rating | 신경식; 김현정 | Conference Paper |
2018 | A performance comparison between the two language versions of the Affective Go/No-Go test: A randomised crossover study | 신경식; 김지은; 윤수정; 김정윤 | Article |
2019 | A Study of Hyperparameter Optimization Algorithms Applied to LSTM in Financial Time Series Forecasting | Effa Yahyaoui | Master's Thesis |
2013 | A Study on the Effectiveness of a Confidence-based Selection Approach in Ensemble Modeling for Bankruptcy Prediction | 김나라 | Doctoral Thesis |
2019 | A Study on the Imbalanced Data Problem for Bankruptcy Prediction Modeling | YIN MENGQING | Doctoral Thesis |
2023 | A Study on Weighted Random Choice Techniques to Improve Diversity in Recommender Systems | 신현섭 | Doctoral Thesis |
2005 | An application of support vector machines for customer churn analysis: Credit card case | 신경식; 박경도 | Conference Paper |
2005 | An application of support vector machines in bankruptcy prediction model | 신경식; 김현정 | Article |
2018 | An Undersampling Approach based on Clustering for Imbalanced Data in Bankruptcy Prediction Model | 김예슬 | Master's Thesis |
2019 | Aspect-Based Sentiment Analysis Using Deep Neural Networks and Embedding Learning | 송민채 | Doctoral Thesis |
2019 | Attention-based long short-term memory network using sentiment lexicon embedding for aspect-level sentiment analysis in Korean | 신경식; 박현정 | Article |
2004 | Bankruptcy prediction modeling using multiple neural network models | 신경식 | Article |
2015 | Bankruptcy Prediction Modeling Using Qualitative Information Based on Big Data Analytics | 조남옥 | Doctoral Thesis |
2023 | BERT 감성분석과 LSTM 모델을 활용한 코스피지수 방향성 예측 연구 | 장서희 | Master's Thesis |
2003 | BSC를 이용한 정보시스템 성과평가 모형 적용에 관한 연구 | 원인복 | Master's Thesis |
2022 | CNN-LSTM Hybrid Approach for Aspect-based Sentiment Analysis | DIOUF, CATHY | Master's Thesis |
2021 | Conditional Generative Adversarial Network(CGAN) 기반 협업 필터링 추천 시스템 | 강소이 | Master's Thesis |
2020 | Deep learning models and datasets for aspect term sentiment classification: Implementing holistic recurrent attention on target-dependent memories | 신경식; 박현정; 송민채 | Article |
2010 | Discrepancy between actual self and virtual self: Theoretical extensions, measurement and relation to contribution in virtual communities | 신경식; 서아영 | Conference Paper |
2007 | Does virtuality increase social capital within an organization? | 신경식; 서아영 | Conference Paper |
2019 | Evolutionary Deep Learning Approaches for Financial Prediction | 정혜정 | Doctoral Thesis |
2012 | Evolving profitable trading rules with genetic algorithms | 신경식 | Article |
2010 | Exploring the effects of online social ties on knowledge sharing: A comparative analysis of collocated vs dispersed teams | 신경식; 서아영 | Article |