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) | Springerlink: 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

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

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

Contact
Ms. Doris Ge (Conference Secretary)
In charge of Paper Submission & Publication/Conference Registration & Participation
Email: [email protected]
Tel: +86-13709044746

Ms. Allison Fung
In charge of Invited Speech/Track/Special Session Information
Email: [email protected]
Working time: Monday to Friday from 10 am to 5:30 pm