Información de la conferencia
MLNN 2025: International Conference on Machine Learning and Neural Networks
https://www.icmlnn.org/Día de Entrega: |
2025-03-31 |
Fecha de Notificación: |
|
Fecha de Conferencia: |
2025-04-18 |
Ubicación: |
Suzhou, China |
Años: |
2 |
Vistas: 2482 Seguidores: 0 Asistentes: 0
Solicitud de Artículos
The topics of interest for submission include, but are not limited to: ◕ Neural Network · Deep Neural Network · Convolutional Neural Network · Generative Adversarial Network · Recurrent Neural Networks · Neural Network Structure · Neural Symbol Mixing Model · Interpretability and Visualization Methods of Neural Networks · Neural Network Snalysis and Research in Medical, Financial, Energy and other fields ◕ Machine Learning · Width Learning System · Deep Learning · Reinforcement Learning · Learning Transfer · Knowledge Graph · Path Planning · Transfer Learning · Generative Adversarial Network · Adversarial Learning · Dual Learning · Distributed Learning · Meta-learning ◕ Deep Learning Algorithms and Applications · Convolutional Neural Networks (CNN) in Image Processing · Recurrent Neural Networks (RNN) and their application to sequential data · Self-Encoders and Generative Models · Application of Neural Networks in Natural Language Processing (NLP) · Neural Networks in Medical Image Analysis · Neural Networks in Bioinformatics · Neural Networks in Intelligent Transportation Systems · Application of Neural Networks in Robot Control · Application of Neural Networks in Recommender Systems · Application of Neural Networks in Anomaly Detection and Early Warning · Federated Learning and Distributed Neural Networks · Hardware acceleration of neural networks · Neural Networks in the Internet of Things (IoT) · Neural Networks in Edge Computing
Última Actualización Por Dou Sun en 2024-11-12
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Nombre Completo | Factor de Impacto | Editor |
---|---|---|
Publications | MDPI | |
Entertainment Computing | 2.800 | Elsevier |
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Inverse Problems in Science and Engineering | 1.100 | Taylor & Francis |
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Molecular Simulation | 1.900 | Taylor & Francis |
IEEE Transactions on Big Data | 5.7 | IEEE |
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