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 [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