3rd International Conference on AI, Machine Learning and Applications (AIMLA 2023)
February 25 ~ 26, 2023, Vancouver, Canada
Scope
3rd International Conference on AI, Machine Learning and Applications (AIMLA 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
3rd International Conference on AI, Machine Learning and Applications (AIMLA 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 areas of AI, ML and Applications.
Topics of interest include, but are not limited to, the following
Unsupervised Machine Learning
Supervised Machine Learning
Reinforcement Learning
Predictive Learning
Neural Networks
Machine Learning Algorithms
Learning Problems
Learning Methods and analysis
Learning in knowledge-intensive systems
Deep Learning
Data mining
Computer Vision
Bayesian Network
Web Intelligence Applications & Search
Software & Hardware Architectures
Soft computing theory and Applications
Semantic Web Techniques and Technologies
Robotics
Recent Trends and Developments
Reasoning and Evolution
Artificial Intelligence Tools and Application
Programming Languages
Pervasive Computing and Ambient Intelligence
Pattern Recognition
Parallel Processing
Natural Language Processing
Multimedia & Cognitive Informatics
Mechatronics
Knowledge-based Systems
Knowledge Representation
Intelligent System Architecture
Information Retrieval
Hybrid Intelligent Systems
Heuristic and AI Planning Strategies and Tools
Fuzzy Logic
Data Mining and Machine Learning Tools
Computer Vision and Speech Understanding
Computational Theories of Learning
CAD Design and Testing
Bioinformatics
Automatic Control
AI Algorithms
Paper Submission
Authors are invited to submit papers through the conference Submission System by . 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 AIMLA 2023, after further revisions, will be published in the special issue of the following journal.
Invited Talk
Proceedings
Hard copy of the proceedings will be distributed during the Conference. The softcopy will be available on AIRCC Digital Library
Speakers
Kazuto Kakutani
Nagoya Institute of Technology
Japan
Amirali Baniasadi
University of Victoria
Canada
Shielanie S Dacumos
University of Rizal System - Binangonan Campus
Philippines
Catherine Hung
USA
Eric Xiong
USA
Ziaul Hossain
University of Fraser Valley
Canada
Suha Khalil Assayed
British University in Dubai- BUiD
UAE
Chenyu Zuo
USA
Yixin Liang
China
Thomas Musora
Chinhoyi university of technology
Zimbabwe
Sponsors
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