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    CAIML 2021 - 2nd International Conference on Artificial Intelligence and Machine Learning (CAIML 2021)

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    Category AI Algorithms; Artificial Intelligence Tools and Application; Automatic Control; Bioinformatics; CAD Design and Testing; Computational Theories of Learning; Computer Vision and Speech Understanding; Data Mining and Machine Learning Tools; Fuzzy Logic;

    Deadline: October 24, 2020 | Date: June 26, 2021-June 27, 2021

    Venue/Country: Sydney, Australia, Australia

    Updated: 2020-10-15 14:01:27 (GMT+9)

    Call For Papers - CFP

    June 26~27, 2021, Sydney, Australia


    2nd International Conference on Artificial Intelligence and Machine Learning (CAIML 2021) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Artificial Intelligence and Machine Learning. The Conference looks for significant contributions to all major fields of the Artificial Intelligence, Machine Learning in theoretical and practical aspects. The aim of the Conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.

    Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of AI and Machine Learning.

    Topics of Interest

    Artificial Intelligence

    AI Algorithms

    Artificial Intelligence Tools and Application

    Automatic Control


    CAD Design and Testing

    Computational Theories of Learning

    Computer Vision and Speech Understanding

    Data Mining and Machine Learning Tools

    Fuzzy Logic

    Heuristic and AI Planning Strategies and Tools

    Hybrid Intelligent Systems

    Information Retrieval

    Intelligent System Architecture

    Knowledge Representation

    Knowledge-based Systems


    Multimedia & Cognitive Informatics

    Natural Language Processing

    Neural Networks

    Parallel Processing

    Pattern Recognition

    Pervasive Computing and Ambient Intelligence

    Programming Languages

    Reasoning and Evolution

    Recent Trends and Developments


    Semantic Web Techniques and Technologies

    Soft computing theory and Applications

    Software & Hardware Architectures

    Web Intelligence Applications & Search

    Machine Learning


    Learning in knowledge-intensive systems

    Learning Methods and analysis

    Learning Problems

    Paper Submission

    Authors are invited to submit papers through the conference Submission System by October 24, 2020. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed).

    Selected papers from CAIML 2021, after further revisions, will be published in the special issues of the following journals

    Machine Learning and Applications: An International Journal (MLAIJ)

    International Journal of Artificial Intelligence & Applications (IJAIA)

    International Journal on Soft Computing (IJSC)

    International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI)

    Important Dates

    Submission Deadline : October 24, 2020

    Authors Notification : December 26, 2020

    Registration & Camera-Ready Paper Due : January 10, 2021

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    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
    Disclaimer: ourGlocal is an open academical resource system, which anyone can edit or update. Usually, journal information updated by us, journal managers or others. So the information is old or wrong now. Specially, impact factor is changing every year. Even it was correct when updated, it may have been changed now. So please go to Thomson Reuters to confirm latest value about Journal impact factor.