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Peer reviewed only Open Access

Revue d'Intelligence Artificielle (RIA)

Publisher : International Information and Engineering Technology Association (IIETA)
Artificial Intelligence Case-Based Reasoning Computer Vision
e-ISSN 1958-5748
p-ISSN 0992-499X
Issue Frequency Monthly
Est. Year 1987
Mobile 18254369306
DOI YES
Language English, French
APC YES
Impact Factor Assignee Google Scholar
Email editor.ria@iieta.org

Journal Descriptions

Revue d'Intelligence Artificielle (RIA) is a top-rated international journal that updates the latest advances in broad aspects of artificial intelligence (AI), ranging from case-based reasoning, computer vision, to intelligent robotics. The editorial board welcomes papers that deal with AI problems from new angles, and propose innovative and effective AI techniques. Authors are also encouraged to submit papers on AI applications. However, the application-centered papers should focus on novel AI techniques that truly promote application performance, rather than directly apply an existing AI technique. The submitted papers must meet strict standards on originality, rigor, and scientific quality, serving as working tools and privileged references for researchers in relevant fields. The RIA welcomes original research papers, technical notes, and review articles on various disciplines, including but not limited to: Automated reasoning and inference Case-based reasoning Cognition and AI Commonsense reasoning Computer vision Constraint processing Ethical AI Heuristic search Human interfaces Intelligent robotics Knowledge representation Knowledge engineering

Revue d'Intelligence Artificielle (RIA) is :-

  • International, Peer-Reviewed, Open Access, Refereed, Artificial Intelligence, Case-Based Reasoning, Computer Vision, Intelligent Robotics, Knowledge Representation, Heuristic Search, Commonsense Reasoning, Automated Inference, Ethical AI, Human-AI Interfaces, Cognitive Systems, Constraint Processing , Online or Print , Monthly Journal

  • UGC Approved, ISSN Approved: P-ISSN P-ISSN: 0992-499X, E-ISSN: 1958-5748, Established: 1987,
  • Provides Crossref DOI
  • Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE

Indexing