International Conference on Machine Learning and Computing ICMLC on February 26-March 01, 2027 in Shenzhen, China
- Short Name: ICMLC
- Event Type: Conference
- Website URL: http://www.icmlc.org
- Program URL: https://www.icmlc.org/program.html
- Contact URL: https://www.icmlc.org/contact.html
- Contact E-mail: [email protected]
- Location: Shenzhen, China
- Date: February 26-March 01, 2027
- Final Submission: January 15, 2027
- Organization: The Asia Society of Researchers
- Conference Tags: computing machine intelligence machine learning machine vision business computing
Publication:
All accepted and presented papers will be published in the ICMLC 2027 Conference Proceedings.
All the accepted papers in ICMLC 2017-2025 have been indexed by Ei Compendex and Scopus successfully.
ICMLC 2025 Conference Proceedings (ISBN: 978-3-031-94898-5) | Springer link: Volume 1 & Volume 2 | Ei Compendex & Scopus
ICMLC 2024 Conference Proceedings (ISBN: 979-8-4007-0923-4) | ACM Digital Library | Ei Compendex & Scopus
ICMLC 2023 Conference Proceedings (ISBN: 978-1-4503-9841-1) | ACM Digital Library | Ei Compendex & Scopus
ICMLC 2022 Conference Proceedings (ISBN: 978-1-4503-9570-0) | ACM Digital Library | Ei Compendex & Scopus
ICMLC 2021 Conference Proceedings (ISBN: 978-1-4503-8931-0) | ACM Digital Library | Ei Compendex & Scopus
ICMLC 2020 Conference Proceedings (ISBN: 978-1-4503-7642-6) | ACM Digital Library | Ei Compendex & Scopus
ICMLC 2019 Conference Proceedings (ISBN: 978-1-4503-6600-7) | ACM Digital Library | Ei Compendex & Scopus
ICMLC 2018 Conference Proceedings (ISBN: 978-1-4503-6353-2) | ACM Digital Library | Ei Compendex & Scopus
ICMLC 2017 Conference Proceedings (ISBN: 978-1-4503-4817-1) | ACM Digital Library | Ei Compendex & Scopus
Submission:
1. Full paper (publication and presentation)
2. Abstract (presentation only)
Please submit your paper by Electronic Submission System: https://www.easychair.org/conferences/?conf=icmlc2027
Send your enquiry to [email protected]
More details about submission, please visit at https://www.icmlc.org/submission.html
Conference Schedule:
February 26, 2027 | Conference Materials Collection & Welcome Reception
February 27, 2027 | Opening Remarks & Keynote Speeches & Invited Speeches & Parallel Sessions for Authors' Presentation
February 28, 2027 | Keynote Speeches & Invited Speeches & Parallel Sessions for Authors' Presentation
March 01, 2027 | Parallel Sessions for Authors' Presentations
Contact:
Ms. Doris Ge (Conference Secretary)
In charge of Paper Submission & Publication/Conference Registration & Participation
Email: [email protected]
Tel: +86-13709044746
WeChat No.: asr2020217 (Please note: ICMLC 2027)
Ms. Allison Fung
In charge of Invited Speech/Track/Special Session Information
Email: [email protected]
Call for papers:
Topics of interest for submission include, but are not limited to:
Track 1: Theoretical Foundations of Machine Learning
Computational Learning Theory
Statistical Learning Theory
PAC Learning
VC Dimension
Track 2: Supervised Learning
Linear Regression
Logistic Regression
Decision Trees
Support Vector Machines
Track 3: Unsupervised Learning
Clustering Analysis
Association Rule Mining
Principal Component Analysis
Track 4: Reinforcement Learning
Q-Learning
Policy Gradient Methods
Applications in Robotics and Game AI
Track 5: Deep Learning
Convolutional Neural Networks
Recurrent Neural Networks
Transformer Architecture
Track 6: Applications of Machine Learning
Computer Vision
Natural Language Processing
Bioinformatics
Business Intelligence and Data Analytics
Track 7: Data Management and Processing
Big Data Processing
Data Mining and Knowledge Discovery
Data Cleaning and Integration
Track 8: Natural Language Processing (NLP)
Large Language Models (LLMs)
Multimodal NLP (Text+Vision/Audio)
Low-Resource/Domain-Specific NLP
Track 9: Human-Computer Interaction in Machine Learning
User-Friendly Machine Learning Interfaces
Human-Machine Collaboration
Visualization of Machine Learning Processes
More Topics, please visit at https://www.icmlc.org/topic.html
Name: The Asia Society of Researchers
Website: http://www.asr.org/
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