International Conference on Artificial Intelligence and
Machine Learning (CAIML 2020)
May 30~31, 2020, Vancouver, Canada
SCOPE
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
SAMPLE TEMPLATE
OTHER CONFERENCES
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 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, Artificial Intelligence and Applications (IJSCAI)
CONFERENCE PROCEEDINGS
Hard copy of the proceedings will be distributed during the Conference. The softcopy will be available on AIRCC digital library.
INVITED TALK
Rituparna Datta
University of South Alabama, USA
COURTESY
CALL FOR PARTICIPATION
SPEAKERS
Mashael Sulaiman Maashi
King Saud University,
Kingdom of Saudi Arabia
Amir Farzad
University of Victoria,
Canada
Xiang AO
City University of Hong Kong,
Hong Kong
Grace Kobusinge
Gothenburg University,
Sweden
Nitin Khosla
Department of Home Affairs,
Australia
Tao Yan
Putian University,
China
Jacob Danovitch
Carleton University,
Canada
Rajeev Kanth
Savonia University of Applied Sciences,
Finland
Haider Khalid
University of Dublin,
Ireland
Alaidine Ben Ayed
UQAM : Montreal,
Canada
Mustapha Hedabou
VI Polytechnic University,
Morocco
Sukhwan Jung
University of South Alabama
USA
Shaodi Li
University of Science and Technology of China,
China
Courtney Foots
University of South Alabama,
USA
Krikor Maroukian
Microsoft Greece,
Greece
Salah Harb
Concordia University,
Canada
Emilia Apostolova
Language.ai,
USA
Faïza Tabbana
Military Academy,
Tunisia
Ngan-Khanh CHAU
An Giang University & Vietnam National University,
Vietnam