Conference Information

MLCIPR 2025: International Conference on Machine Learning, Computational Intelligence and Pattern Recognition

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Submission Date:
2025-09-19
Notification Date:
2025-09-30
Conference Date:
2025-12-19
Location:
Nanjing, China
Years:
2
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Call For Papers

MLCIPR 2025 (International Conference on Machine Learning, Computational Intelligence and Pattern Recognition) is an academic conference held in Nanjing, China on 2025-12-19. The paper submission deadline is 2025-09-19. Acceptance notifications are sent on 2025-09-30.

The 2025 2nd International Conference on Machine Learning, Computational Intelligence and Pattern Recognition (MLCIPR 2025) [第二届机器学习、计算智能与模式识别国际学术会议] is scheduled to take place in Nanjing, China from December 19-21, 2025. Machine Learning, Computational Intelligence and Pattern Recognition is an interdisciplinary field that has emerged through the integration of various sciences such as computer science, cybernetics, neurophysiology, psychology, etc. It encompasses diverse areas including natural language understanding, machine theorem proving, automatic programming, game theory and decision making, artificial neural networks among others. This conference aims to bring together experts and scholars in this field to discuss current advancements, key challenges and future trends in Machine Learning, Computational Intelligence and Pattern Recognition. We cordially invite you to participate or contribute to this esteemed conference! MLCIPR is an annual conference and we welcome experts and scholars from all over the world to participate and exchange ideas. PUBLICATION All papers will be reviewed by two or three expert reviewers from the conference committees. After a careful reviewing process, all accepted papers will be published in the Conference Proceedings by IEEE (ISBN：979-8-3315-7797-1), and submitted to IEEE Xplore, EI Compendex, Scopus for indexing. CALL FOR PAPERS Topics of interests are in the broad areas of advances in machine learning, computational intelligence and pattern recognition, including but not limited to: · Machine Learning Supervised Learning and Algorithm Optimization Unsupervised and Self Supervised Learning Deep Learning and Neural Networks Transfer and Reinforcement Learning Reinforcement Learning and Decision Systems Big Data and Distributed Learning Robustness and Interpretability Multimedia Design and Generation Network Security · Computational Intelligence Evolutionary Computation and Optimization Group Intelligence and Collaboration System Fuzzy Systems and Uncertainty Handling Natural Inspired Algorithm quantum computing Intelligent optimization and decision-making Neuromorphic computation Intelligent optimization AI and Robotics Virtual reality · Pattern Recognition Image recognition and processing Video Analysis and Understanding target detection and tracking Biometric and Behavioral Recognition Document and Text Analysis multilingual processing Speech and Signal Processing 3D and Dynamic Pattern Recognition Multi-sensor data fusion Intelligent security and monitoring medical imaging Autonomous driving perception system Smart Home and Human Computer Interaction
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