International Conference on Machine Learning and Computational Intelligence on April 18-20, 2026 in Ho Chi Minh City, Vietnam

International Conference on Machine Learning and Computational Intelligence on April 18-20, 2026 in Ho Chi Minh City, Vietnam

Publication:

Accepted papers will be published by MLCI 2026 Conference Proceedings, indexed by Ei compendex and Scopus.

 

Submission:

1. Each paper should have no less than 4 pages normally, including all figures, tables, and references, extra page fee needs to be paid after 5 pages.

2. The submitted paper is requested to be written in complete English.

Full Paper Template: https://www.icmlci.com/Docx+Latex.zip

Abstract Template: https://www.icmlci.com/Abstract-Template.doc

 

Electronic Submission System Link:

https://www.zmeeting.org/submission/MLCI2026

 

Conference Venue:

Industrial University of Ho Chi Minh City, Vietnam

Address: 12 Nguyen Van Bao Street, Ward 4, Go Vap District, HCMC

 

Contact us:

Ms. Elisha Chen (Conference Secretary)

Email: [email protected]

 

Call for papers:

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

 

Name: The Asia Society of Researchers
Website: http://www.asr.org/

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