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MLCC 2027: International Conference on Machine Learning and Cognitive Computing

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MLCC
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投稿締切日:
2026-09-30 残り 19 日
通知日:
2026-10-30
開催日:
2027-03-19
開催地:
Chongqing, China
閲覧: 963   フォロー: 0   参加: 0

会伴インデックス (CP-I)

43.6 / 100
全 5,680 件中 第 3,406 位 · 上位 60%

人工知能・機械学習 分野 739 件中 第 417 位

根拠が限られています：この会議は CCF / ICORE / QUALIS のいずれにも収録されておらず、採択率のデータもないため、スコアの大部分は中立の基準値に戻ります。
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%) データなし — 中立の基準値 50 点として算入 —
コミュニティの注目度 (10%)
8
公開情報の充実度 (15%)
35

使用した入力: 過去 24 か月にこのページを開いた研究者：2 人

公開情報で不足しているもの: 過去の採択率 (+4.5) · 過去の開催回 (+3.0) · 最優秀論文の記録 (+2.3)
主催者は会議を認証申請したうえで、このページから直接追加できます。スコアは毎晩再計算されます。このスコアを上げるには

信頼度 25% — 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 1.1 · 算出日 2026-09-11

論文募集

MLCC 2027 (International Conference on Machine Learning and Cognitive Computing) is an academic conference held in Chongqing, China on 2027-03-19. The paper submission deadline is 2026-09-30. Acceptance notifications are sent on 2026-10-30.

Prospective authors are invited to submit original technical papers for oral or poster presentations at MLCC and publication in the Conference Proceedings. The papers in communications, signal processing, and systems are solicited in the following topics, but are not limited to: (Fundamental Theories) * Fundamental Theories and Algorithms of Machine Learning * Data Mining and Big Data Analysis * Knowledge Discovery and Representations * Feature Engineering and Representation Learning * Traditional Machine Learning and Ensemble Learning * Deep Learning and Neural Networks * Generative Adversarial Networks and Generative Models * Reinforcement Learning and Adaptive Systems * Weak Supervision and Semi-supervised Learning * Transfer Learning and Knowledge Distillation * Active Learning * Meta-Learning * Adversarial Machine Learning * Trustworthy Computing and Explainable AI * Federated Learning and Distributed Machine Learning * Secure Computing and Privacy Protection * Knowledge Engineering and Knowledge Management * Incremental Learning and Dynamic Knowledge Acquisition * Probability, Statistics, and Stochastic Processes * Numerical Computation and Mathematical Optimization * Continuous Optimization and Combinatorial Optimization * Differential Equations and Dynamical Systems (Perception and Cognition) * Human-Machine Interaction * Neural Information Processing and Brain–machine Interfaces * Internet of Things and Intelligent Sensing * Intelligent Perception and Pattern Recognition * Multimodal Learning and Cross-Modal Analysis * Computer Vision and Image Understanding * Object Location and Object Detection * Natural Language Processing and Speech Recognition * Human-Computer Dialogues and Narrative Generation * Knowledge Graphs and Semantic Understanding * Automatic Reasoning and Decision Making * Cognitive Computing and Affective Intelligence * Affective Computing and Semantic Analysis (Application Systems) * Recommendation Systems and Personalized Services * Social Network Analysis * Anomaly Detection and Fault Diagnosis * Intelligent Control and Optimal Control * Robotic Learning and Autonomous Systems * Industrial Intelligence and Smart Manufacturing * Industrial Big Data Application Practice * Agriculture Intelligence and Smart Farming * Intelligent Transportation and Autonomous Driving * Smart City and Cognitive City * Environmental Big Data Analysis * Disaster Prediction and Management * Bioinformatics and Computational Biology * Biomedical Data Analysis and Biomedical AI * AI Medical Diagnosis and Intelligent Therapy * Financial Intelligence and Quantitative Analysis * Financial Mathematics and Risk Management * Financial data analysis and Investment Management * Computational Geometry and Topological Analysis (Computing Architecture) * Cloud Computing and Edge Computing * Distributed and High-Performance Computing * High-Performance Networking and Communications * Quantum Computing and Quantum Machine Learning * Neuromorphic Computing and Brain-Inspired Intelligence * In-Memory Computing and Near-Data Processing * Intelligent Chips and Hardware Acceleration * Novel Memory Architectures and Systems * Photonics Computing and Novel Computing Paradigms * Green Computing and Energy Efficiency Optimization (Emerging Paradigms) * Digital Twins and Virtual Simulation * Metaverse and Immersive Computing * Computational Modeling and Simulation * Blockchain and Trusted Computing * Granular Ball Computing (Data Processing) * Graph Data and Network Analysis * Matrix Computation and Tensor Analysis * Unstructured Data Processing * Data Visualization and Interaction * Time Series Analysis and Predictive Modeling * Spatial Data and Geo-Computation * Data Governance and Quality Management * Data Security and Privacy Protection
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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
Cognitive Processing1.4Springer1612-4782
BMachine Learning2.9Springer0885-6125
Cognitive Systems Research2.4Elsevier1389-0417
Cognitive Psychology3.0Elsevier0010-0285
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

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