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

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投稿締切日:
2026-10-10 締切済み
通知日:
2026-11-26
開催日:
2026-12-18
開催地:
Nanning, China
開催回数:
閲覧: 5485   フォロー: 0   参加: 0
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MLAIA
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会伴インデックス (CP-I)

43.4 / 100
全 5,721 件中 第 3,663 位 · 上位 65%

人工知能・機械学習 分野 743 件中 第 466 位

学術的評価 (35%) データなし — 中立の基準値 50 点として算入 —
投稿の選択性 (20%) データなし — 中立の基準値 50 点として算入 —
開催回数 (20%)
30
コミュニティの注目度 (10%)
17
公開情報の充実度 (15%)
55

使用した入力: 確認できる開催回数：2 · 過去 24 か月にこのページを開いた研究者：9 人

公開情報で不足しているもの: 過去の採択率 (+4.5) · 最優秀論文の記録 (+2.3)
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信頼度 45% — スコアのうち、中立の基準値ではなく実際に観測されたデータに基づく割合。 このスコアの算出方法 · ランキングを見る · アルゴリズム版 1.2 · 算出日 2026-10-18

論文募集

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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関連ジャーナル

CCF正式名称インパクトファクター出版社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
BPattern Recognition7.6Elsevier0031-3203

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