19th International Conference on Machine Learning and Computing (ICMLC 2027)

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 icmlc@vip.126.com
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: icmlc@vip.126.com
Tel: +86-13709044746

Ms. Allison Fung
In charge of Invited Speech/Track/Special Session Information
Email: allison_fung@outlook.com
Working time: Monday to Friday from 10 am to 5:30 pm