Welcome to CAIML 2023
4th International Conference on Artificial Intelligence and Machine Learning (CAIML 2023)
July 29 ~ 30, 2023, London, United Kingdom
Hybrid--Registered authors can present their work online or face to face New
Accepted Papers
Program Committee
Scope Call for Participation Program Schedule
4th International Conference on Artificial Intelligence and Machine Learning (CAIML 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Artificial Intelligence and Machine Learning.
Call for Papers
4th International Conference on Artificial Intelligence and Machine Learning (CAIML 2023) 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 following areas, but are not limited to:
Topics of interest include, but are not limited to, the following
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 Closed. 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 2023, after further revisions, will be published in the special issue of the following journal.
Machine Learning and Applications: An International Journal (MLAIJ)
International Journal of Artificial Intelligence & Applications (IJAIA)
International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI)
Advances in Vision Computing: An International Journal (AVC)
International Journal of Network Security & Its Applications (IJNSA) - ERA, WJCI Indexed
Invited Talk
Sevil Şen
Hacettepe University, Turkey
Proceedings
Hard copy of the proceedings will be distributed during the Conference. The softcopy will be available on AIRCC Digital Library
Speakers
Bilel Ben Romdhanne Amadeus SAS
Sophia Antipolis
France
Zhenrui Guo
USA
Tengjie Qiu
USA
Dan Wu
University of Windsor
Canada
Rundong Wang
United States of America
Xiyang Sun
Tsinghua University
China
Jing Zhao
Qingdao University
China
Nick Kalsi
Cardiff Metropolitan University
United Kingdom
Matthew Ciolino
PeopleTec
United States of America
Nagla Osman Mohamed
Yanbu Industrial College-KSA
Saudi Arabia
Jose Moreno
Microsoft
Germany
Hung-Ju Wang
Bureau of Standards, Metrology, and Inspection
Taiwan
Jevon Mao
USA
Ziqi Liu
The Governor’s Academy
USA
Edward Zhu
Hong Kong
Chung-Li Wang
Alibaba, Inc
USA
Yuetpang Chen
California State Polytechnic University
USA
Audrey Chen
USA
In Ho Cho
Iowa State University
USA
Leon Huang
California State Polytechnic University
USA
Mohammed Saad Alaydaa
Cranfield university
UK
Rasheed Mohammad
Birmingham City University ,UK
Sponsors
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