Journals
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International Journal of Applied Machine Learning
The International Journal of Applied Machine Learning publishes leading-edge research and innovation on the practical applications of machine learning to a broad spectrum of domains. While placing emphasis on new methodologies, algorithms, and frameworks solving real-life problems, it has effectively closed the gap between the theoretical developments and implementation stages through use in such domains of industry, healthcare, finance, environmental science, among others.