Información de la conferencia

MLAIA 2026: International Conference on Machine Learning and Artificial Intelligence Applications

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Día de Entrega:
2026-10-10 Cerrado
Fecha de Notificación:
2026-11-26
Fecha de conferencia:
2026-12-18
Ubicación:
Nanning, China
Ediciones:
Vistas: 5482   Seguidores: 0   Asistentes: 0
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Índice Conference Partner (CP-I)

43,4 / 100
Puesto n.º 3.663 de 5.721 congresos · 65% superior

N.º 466 de 743 en Inteligencia artificial y aprendizaje automático

Reconocimiento académico (35%) Sin datos: se puntúa con la línea base neutra de 50 —
Selectividad en la revisión (20%) Sin datos: se puntúa con la línea base neutra de 50 —
Ediciones celebradas (20%)
30
Atención de la comunidad (10%)
17
Integridad del registro público (15%)
55

Datos utilizados: Ediciones documentadas: 2 · Investigadores que abrieron esta página en los últimos 24 meses: 9

Falta en el registro público: Tasas de aceptación históricas (+4,5) · Premios al mejor artículo (+2,3)
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Solicitud de Artículos

MLAIA 2026 (International Conference on Machine Learning and Artificial Intelligence Applications) is an academic conference held in Nanning, China on 2026-12-18. The paper submission deadline is 2026-10-10. Acceptance notifications are sent on 2026-11-26.

The 2nd International Conference on Machine Learning and Artificial Intelligence Applications (MLAIA 2026) aims to the promote the exchange of ideas in Machine Learning and Artificial Intelligence Applications. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas but are not limited to: Machine Learning Algorithms and Models Development of novel machine learning algorithms. Advances in supervised, unsupervised, and reinforcement learning models. Deep learning architectures and innovations. ML for Optical Data Analysis Transfer learning and domain adaptation techniques. Optimization and Training Optimization methods for machine learning. Efficient training strategies and scalability. Hyperparameter tuning and optimization. Regularization techniques and generalization. Applications and Case Studies Machine learning in healthcare: diagnostics, drug discovery, medical imaging. Natural language processing: text classification, sentiment analysis, machine translation. Computer vision: object detection, image segmentation, facial recognition. Ethics and Fairness Intelligent Fiber Systems. Fairness and bias in machine learning models. Ethical considerations in algorithm design and deployment. Transparency and interpretability of machine learning systems. Privacy-preserving machine learning. Theoretical Foundations Statistical learning theory. Probabilistic graphical models. Information theory and its applications in machine learning. Convergence analysis and theoretical guarantees. Artificial Intelligence Applications Intelligent Systems and Agent Development of intelligent agents and autonomous systems. Multi-agent systems and cooperation. Robotics and AI integration. AI in Optical System Design and Optimization Human-agent interaction and collaboration. Knowledge Representation and Reasoning Knowledge graphs and semantic web. Logical reasoning and inference engines. Ontologies and knowledge bases. Commonsense reasoning and cognitive architectures. AI in healthcare Intelligent diagnosis . Clinical decision-making. Intelligent medical devices and robots. Medical big data and artificial intelligence technologies​ . AI in Industry Quantum Photonics and AI AI-driven supply chain optimization. Intelligent manufacturing and Industry 4.0. AI in environmental monitoring and sustainability. AI in disaster response and humanitarian aid. AI and Human-Computer Interaction User interface design for AI systems. Voice assistants and natural language interfaces. Gesture recognition and multimodal interaction. Accessibility and AI for people with disabilities. Virtual and augmented reality applications. Game development and Al.
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