★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

★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

★★Contact us

Ms. Elisha Chen (Conference Secretary)

Email: mlci_secretary163.com