Invitation to Submit
제출 안내
The International Conference on Financial Applications of Machine Learning , organized by the Korean Society for Academic Advancement (KSAA), invites original and high-quality research contributions from researchers, academicians, and professionals across all disciplines. Submissions are accepted in the form of research papers, case studies, and review articles aligned with the conference themes and academic focus areas.
International Conference on Financial Applications of Machine Learning , 한국학술진흥학회(KSAA)가 주최하는 본 학술대회는 다양한 분야의 연구자, 학자 및 전문가들로부터 우수한 연구 논문을 모집합니다. 논문, 사례 연구 및 리뷰 논문 등 학술대회 주제에 부합하는 연구 결과를 제출할 수 있습니다.
Research Papers
연구 논문
Case Studies
사례 연구
Review Articles
리뷰 논문
Research Areas
연구 분야
Financial Forecasting Using Machine Learning
Risk Assessment Models In Finance
Algorithmic Trading Strategies With Ml
Fraud Detection Techniques In Banking
Portfolio Optimization Using Ai Methods
Sentiment Analysis For Stock Market Prediction
Credit Scoring Models With Machine Learning
Impact Of Ml On Financial Regulations
Predictive Maintenance In Financial Services
Customer Segmentation Using Machine Learning
Time Series Analysis In Finance
Blockchain Technology And Machine Learning
Ethics Of Ai In Financial Applications
Automated Financial Reporting Systems
Machine Learning In Insurance Underwriting
Market Trend Analysis Using Ai
Behavioral Finance And Machine Learning
Investment Strategies Driven By Ai
Data Privacy In Financial Machine Learning
Real-time Analytics In Financial Markets
Review & Acceptance
심사 및 채택
All submissions will undergo a peer review process. Accepted papers may be presented at the conference and considered for further academic dissemination.
모든 제출 논문은 동료 심사 과정을 거치며, 채택된 논문은 학술대회 발표 및 추가 학술 확산의 기회를 갖게 됩니다.