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Journal Photo for AI Open
Peer reviewed only Open Access

AI Open (AO)

Publisher : KeAi Communications Co
Human Brain Research Computer Science Artificial Intelligence
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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: 2020, Impact Factor: 22.5
  • Does Not Provide Crossref DOI

  • Indexed in: Scopus, DOAJ

  • Not indexed in WoS, PubMed, UGC CARE

Indexing

Publications of AO

MONEY: Ensemble learning for stock price movement prediction via a convolutional network with adversarial hypergraph model
Pietro Liò August, 2023
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...