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CAIML 2020 - International Conference on Artificial Intelligence and Machine Learning (CAIML 2020)

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Website https://itcse2020.org/caiml/index.html | Edit Freely

Category AI Algorithms; Bioinformatics; Computer Vision and Speech Understanding; Data Mining and Machine Learning Tools; Hybrid Intelligent Systems; Multimedia & Cognitive Informatics; Natural Language Processing; Robotics; Web Intelligence Applications & Search; Machine Learning

Deadline: February 29, 2020 | Date: May 30, 2020-May 31, 2020

Venue/Country: Vancouver, Canada, Canada

Updated: 2020-02-24 22:04:14 (GMT+9)

Call For Papers - CFP

May 30 ~ 31, 2020, Vancouver, Canada

https://itcse2020.org/caiml/index.html

Scope & Topics 

International Conference on Artificial Intelligence and Machine Learning (CAIML 2020) 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

Bioinformatics

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

Mechatronics

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

Robotics

Semantic Web Techniques and Technologies

Soft computing theory and Applications

Software & Hardware Architectures

Web Intelligence Applications & Search

Machine Learning

Applications

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 February 29, 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 2020, after further revisions, will be published in the special issue 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 : February 29, 2020 

Authors Notification : March 20, 2020

Registration & Camera-Ready Paper Due : March 30, 2020

Contact Us

Here’s where you can reach us: caiml@itcse2020.org (or) caimlconf@yahoo.com

For more details, please visit: https://itcse2020.org/caiml/index.html

Paper Submission Link: https://itcse2020.org/submission/index.php


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.