MLCI---Machine Learning and Computational Intelligence

Welcome to MLCI 2027

As the world rapidly moves towards the widespread implementation of automated machines, particularly smart robots, advances in technologies such as sensing, planning, perception, control, machine intelligence, and cloud computing are enabling the next generation of robots to excel at handling various tasks across industry and society. Consequently, it is essential to stay abreast of the rapid growth of theories and technologies that drive robotics and automation engineering forward.
In light of this, 2027 the 2nd International Conference on Machine Learning and Computational Intelligence (MLCI 2027) will be held in Okinawa, Japan from April 24 to 26, 2027.

Conference Proceedings

Submitted papers will be sent to around 2-3 reviewers for peer review. And accepted papers after proper registration and presentation, will be published into conference proceedings and submitted for indexing by Ei Compendex, Scopus, and other databases.

Journal Recommendation

International Journal of Machine Learning
E-ISSN: 2972-368X
DOI: 10.18178/IJML
Frequency: Quarterly
Editor-in-Chief: Dr. Lin Huang
Abstracing/Indexing: Google Scholar, Crossref, ProQuest, Electronic Journals Library, CNKI.

Submission Guideline | 投稿指示

Welcome you to submit your abstract or full paper by Electronic Submission System.
If you have any question, please feel free to contact us. (Email: mlci_secretary@163.com)
Only full paper will be published into conference proceedings.
Official language is English in paper writing and presenting.
Each paper should have no less than 8 pages normally, including all figures, tables, and references, extra page fee needs to be paid after 10 pages.

Full Paper Template (WORD) Full Paper Template (Latex) Abstract Template

Topics

Track 1: Foundations of Machine Learning

Supervised learning algorithms
Unsupervised learning techniques
Reinforcement learning frameworks and applications
Model selection, validation, and evaluation metrics
Probabilistic models and Bayesian methods
Optimization algorithms for machine learning

Track 2: Computational Intelligence Methods

Evolutionary computation
Fuzzy logic and fuzzy systems
Artificial neural networks
Swarm intelligence algorithms
Hybrid intelligent systems combining multiple computational intelligence techniques
Applications of computational intelligence in complex system modeling and optimization

Track 3: Advanced Machine Learning Systems

Deep learning architectures
Transfer learning and domain adaptation
Few-shot learning and meta-learning
Model deployment and scalability
Efficient training techniques
Applications in computer vision, natural language processing, and speech recognition

Track 4: Interdisciplinary Applications of ML and CI

Ethical considerations in AI and machine learning
Fairness, accountability, and transparency in algorithms
Explainable AI (XAI) and interpretability of machine learning models
Legal frameworks and regulations for AI
Future trends in machine learning and computational intelligence
Societal impact and sustainable development of AI technologies

University of the Ryukyus, Japan | Okinawa, Japan | April 24-26, 2027

Machine Learning and Computational Intelligence

Sub. Deadline

November 20, 2026

Not. Deadline

December 20, 2026

Reg. Deadline

January 10, 2027

Proposal

Welcome to MLCI 2027

Conference Proceedings

Journal Recommendation

Submission Guideline | 投稿指示

Topics

Co-sponsored by

Technical supported by