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AI Open (AO)

Publisher :

KeAi Communications Co

Scopus Profile
Peer reviewed only
Scopus Profile
Open Access
  • Human Brain Research
  • Computer Science
  • Artificial Intelligence
e-ISSN :

2666-6510

Issue Frequency :

Monthly

Impact Factor :

22.5

Est. Year :

2020

Mobile :

860164015921

Country :

China

Language :

English

APC :

YES

Impact Factor Assignee :

Google Scholar

Email :

huanguo@keaipublishing.com

Journal Descriptions

AI Open is a freely accessible platform to share actionable knowledge and forward-thinking perspectives on the theory of artificial intelligence and its applications. The journal welcomes research articles, review papers, perspectives, short communications and technical notes on all aspects of artificial intelligence and its applications. Topics covered include, but are not limited to: Deep learning and representation learning Graph theory and graph mining Constraints, satisfiability, and search Knowledge representation, reasoning, and logic Machine learning and data mining Knowledge graph and applications Agent-based and multi-agent systems Web and knowledge-based information systems Natural language processing Image processing and analysis Uncertainty Brain-based Learning Implicit Cognition and Learning


AI Open (AO) is :

International, Peer-Reviewed, Open Access, Refereed, Human Brain Research, Computer Science, Artificial Intelligence , Online Monthly Journal

UGC Approved, ISSN Approved: P-ISSN , E-ISSN - 2666-6510, Established in - 2020, Impact Factor - 22.5

Not Provide Crossref DOI

Indexed in Scopus, DOAJ

Not indexed in WoS, PubMed, UGC CARE

Indexing

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Publications of AO

  • dott image August, 2023

MONEY: Ensemble learning for stock price movement prediction via a convolutional network with adversarial hypergraph model

Stock price prediction is challenging in financial investment, with the AI boom leading to increased interest from researchers. Despite these recent advances, many studies are limited to cap...

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