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ICAMLDS 2020 : 2020 2nd International Conference on Applied Machine Learning and Data Science | |||||||||||||
Link: http://www.icamlds.com/ | |||||||||||||
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Call For Papers | |||||||||||||
Welcome to the official website of 2020 2nd International Conference on Applied Machine Learning and Data Science (ICAMLDS 2020). The conference will be held on 21-23 August, 2020 in Chengdu, China with support from by Chengdu University of Technology and Xijing University.
The purpose of the 2020 2nd International Conference on Applied Machine Learning and Data Science is to bring together researchers, engineers and practitioners interested on databases, big data, data mining, applied machine learning, and other aspects of information systems and technology involving advanced applications of artificial intelligence and data. Contributions describing machine learning techniques applied to real-world problems and interdisciplinary research involving machine learning, in fields like medicine, healthcare, biology, industry, manufacturing, security, education, virtual environments, games, are especially encouraged. presentation or poster: Session 1 Artificial Intelligence Algorithmic, experimental, prototyping and implementation Big Data Algorithms, Applications and Services Biometric Identification Biocomputing and Bioinformatics Computational Intelligence Cognitive Processing Computer Vision Deep learning Document Recognition and Understanding Humanoid Robot Space Robot Chatbots Intelligent Information Processing Intelligent Modeling and Control Theory Intelligent Vehicle Intelligent Video Surveillance Mass Information Processing Multimedia Information Processing Nature Language Processing Nonlinear System Pattern Recognition Quantum Computation and Quantum Information Speech and Character Recognition Signal Processing Unmanned Aircraft Word Recognition Session 2 Applications of Machine Learning Machine learning in medicine and healthcare Machine learning in bioinformatics and systems biology Machine learning in industrial and engineering applications Machine learning in security applications Machine learning in smart cities Machine learning in game playing and problem solving Machine learning in intelligent virtual environments Machine learning in economics, business and forecasting applications, etc. Session 3 Data Sciences Algorithms Big Data & Analytics Data integration Distributed architecture Automating machine learning Data visualization Dashboards and bi Data engineering Deployment in production mode Automated, data-driven decisions |
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