International Conference on Machine Learning and Computational Intelligence (MLCI 2026)

The International Conference on Machine Learning and Computational Intelligence (MLCI 2026) explores cutting-edge techniques and real-world applications in machine learning and computational intelligence, emphasizing ethical AI, advanced algorithms, and interdisciplinary innovation.

Key Topics

• Supervised learning algorithms
• Track 1: Foundations of Machine Learning
• Reinforcement learning frameworks and applications
• Unsupervised learning techniques
• Probabilistic models and Bayesian methods
• Model selection, validation, and evaluation metrics
• Track 2: Computational Intelligence Methods
• Optimization algorithms for machine learning
• Fuzzy logic and fuzzy systems
• Evolutionary computation
• Swarm intelligence algorithms
• Artificial neural networks
• Applications of computational intelligence in complex system modeling and optimization
• Hybrid intelligent systems combining multiple computational intelligence techniques
• Deep learning architectures
• Track 3: Advanced Machine Learning Systems
• Few-shot learning and meta-learning
• Transfer learning and domain adaptation
• Efficient training techniques
• Model deployment and scalability
• Track 4: Interdisciplinary Applications of ML and CI
• Applications in computer vision, natural language processing, and speech recognition
• Fairness, accountability, and transparency in algorithms
• Ethical considerations in AI and machine learning
• Legal frameworks and regulations for AI
• Explainable AI (XAI) and interpretability of machine learning models
• Societal impact and sustainable development of AI technologies
• Future trends in machine learning and computational intelligence