Información de la conferencia

MLCI 2026: International Conference on Machine Learning and Computational Intelligence

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MLCI
Día de Entrega:
2026-03-15 Extended
Fecha de Notificación:
2026-03-25
Fecha de conferencia:
2026-04-18
Ubicación:
Ho Chi Minh City, Vietnam
Vistas: 4517   Seguidores: 0   Asistentes: 0

Solicitud de Artículos

MLCI 2026 (International Conference on Machine Learning and Computational Intelligence) is an academic conference held in Ho Chi Minh City, Vietnam on 2026-04-18. The paper submission deadline is 2026-03-15 (extended). Acceptance notifications are sent on 2026-03-25.

MLCI conference seeks original, high-quality submissions which improve and further the knowledge related to all aspects of Machine Learning and Computational Intelligence, with an emphasis on implementations and experimental results. 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
Última actualización por Dunn Carl el

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