会议信息

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

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截稿日期:
2026-10-10 已截稿
通知日期:
2026-11-26
会议日期:
2026-12-18
会议地点:
Nanning, China
届数:
浏览: 5489   关注: 0   参加: 0
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MLAIA
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会伴指数 (CP-I)

43.4 / 100
全站第 3,663 名 / 共 5,721 个会议 · 前 65%

人工智能与机器学习 第 466 / 743

学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
30
社区关注 (10%)
17
资料公开度 (15%)
55

用到的输入: 有据可查的届次：2 · 过去 24 个月打开过本页的研究者：9 人

公开资料里还缺: 历年录用率 (+4.5) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 45% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.2 · 算于 2026-10-18

征稿

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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相关期刊

CCF全称影响因子出版商ISSN
BMachine Learning2.9Springer0885-6125
CMachine Vision and Applications2.3Springer0932-8092
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
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