학회 정보

CIFEr 2026: IEEE Computational Intelligence in Financial Engineering and Economics

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투고 마감일:
2026-05-15
통보일:
2026-07-15
개최일:
2026-09-10
개최지:
Tokyo, Japan
ICORE: C   조회: 3491   팔로우: 0   참가: 0
마감 카운트다운 배지 삽입
CIFEr
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회반 지수 (CP-I)

46.9 / 100
전체 5,694개 중 2,355위 · 상위 42%

경영·사회과학 분야 73개 중 21위 인공지능·기계학습 분야 742개 중 257위

학술적 인정 (35%)
58
투고 선별성 (20%) 데이터 없음 — 중립 기준값 50점으로 계산 —
개최 횟수 (20%) 데이터 없음 — 중립 기준값 50점으로 계산 —
커뮤니티 관심도 (10%)
13
공개 자료 충실도 (15%)
35

사용한 입력: 수록 등급: ICORE C · 지난 24개월 동안 이 페이지를 연 연구자: 5명

공개 자료에서 빠진 항목: 역대 게재율 (+4.5) · 역대 회차 (+3.0) · 최우수 논문 기록 (+2.3)
주최자는 학회를 인증 신청한 뒤 이 페이지에서 바로 추가할 수 있습니다. 점수는 매일 밤 다시 계산됩니다. 이 점수를 올리는 방법

신뢰도 60% — 점수 중 중립 기준값이 아니라 실제 관측된 데이터에 근거한 비율. 이 점수는 어떻게 계산되나 · 전체 순위 보기 · 알고리즘 버전 1.1 · 산출일 2026-10-07

논문 모집

CIFEr 2026 (IEEE Computational Intelligence in Financial Engineering and Economics) is a ICORE C conference held in Tokyo, Japan on 2026-09-10. The paper submission deadline is 2026-05-15. Acceptance notifications are sent on 2026-07-15.

In recent years, the popularity of generative AI, including ChatGPT, has had a huge impact on machine learning and the fields that use it. The field most affected is undoubtedly natural language processing, but the ripple effect is spreading to other fields that deal with data. For example, in robot control research, generative AI is used to generate commands for robots. Generative AI is also becoming a presence that cannot be ignored in the fields of finance and economics. In particular, in recent years, there has been an increase in economic analysis research targeting text, and language models such as BERT have begun to be used in these studies. Given this, it is only a matter of time before generative AI is used as the next trend. CIFEr is an international conference that has long focused on the application of information technology to finance and economics. Given this technological trend, we expect a large number of research papers on the application of these new technologies to finance to be presented at CIFEr. In addition, there are an increasing number of cases where alternative data, data that have not been used before, are applied to financial economics, and new technologies are required to process these data. We expect the papers presented at the conference to include research on the use of data that has yet to be used before, as well as research on the application of new computer intelligence technologies, including generative AI, to the fields of finance and economics. In addition, there is a growing body of research that combines generative AI with long-standing technologies, such as multi-agent combinations, and we look forward to this type of challenging research. Topics of Interest Computational Intelligence Areas, Models, and Applications: Machine Learning in Finance Large Language Model Big Data Finance and Economics Neural Networks Deep Learning Models in Finance Data Mining Text Mining Probabilistic Modeling/Inference Fuzzy Sets, Rough Sets, & Granular Computing Intelligent Trading Agents Trading Room Simulation Time Series Analysis Non-linear Dynamics Financial Analytics Financial Data Mining Evolutionary Computation Digital Financial Reporting Semantic Web and Linked Data Multi-objective Optimisation Agent Based Modelling and Simulation Co-evolutionary Techniques Artificial Life Evolutionary Game Theory Particle Swarm Optimisation Cognitive Systems Recommendation Modelling and Problem Representations Operators Application Areas: Finance: Asset allocation strategies Trading systems Algorithmic trading Trade execution systems Risk management Pricing of structured securities Behavioural finance Evolutionary finance Portfolio optimisation Arbitrage Exotic options Cryptocurrencies Blockchain and applications Front and back office operations Financial prediction and forecasting Application Areas: Economics: Agent based computational economics Market modelling Energy and electricity markets Blockchain economics Application Areas: Business: Business analytics Recommender systems E-commerce Advertising and marketing Crowds and market models Demand forecasting Distribution and supply chain
최종 수정: Dou Sun ()

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CCFICORECP-I약칭정식 명칭투고 마감개최일
AA*92.6SIGIRInternational Conference on Research and Development in Information Retrieval2026-01-152026-07-20
AA*97.8AAAIAAAI Conference on Artificial Intelligence2026-07-212027-02-16
AA*94.4CVPRIEEE Conference on Computer Vision and Pattern Recognition2026-11-102027-06-20
BA*89.7ICRAInternational Conference on Robotics and Automation2026-09-152027-05-24
BA*94.1IJCAIInternational Joint Conference on Artificial Intelligence2026-01-312026-08-15
AA*92.6STOCACM Symposium on Theory of Computing2026-11-022027-06-06
C87.5ICCInternational Conference on Communications2026-10-022027-05-30
CB62.8IJCNNInternational Joint Conference on Neural Networks2027-01-312027-06-14
B91.2ICASSPInternational Conference on Acoustics, Speech and Signal Processing2026-09-162027-05-16
BA*79.6PODSACM SIGMOD Conference on Principles of DB Systems2026-12-032027-06-13

관련 저널

CCF정식 명칭영향력 지수출판사ISSN
Computational Economics2.2Springer0927-7099
IEEE Computational Intelligence Magazine11.2IEEE1556-603X
IEEE Transactions on Emerging Topics in Computational Intelligence6.5IEEE2471-285X
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655

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