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Methodologies of Multi-Omics Data Integration and Data Mining: Techniques and Applications
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Latent Factor Analysis for High-dimensional and Sparse Matrices: A particle swarm optimization-based approach
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Machine Learning Applied to Composite Materials
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Large-Scale Structure of the Universe: Cosmological Simulations and Machine Learning
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Evolutionary Multi-Task Optimization: Foundations and Methodologies
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Mathematical Theory of Uniformity and its Applications in Ecology and Chaos
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Data Science: 8th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2022, Chengdu, China, August 19–22, 2022, Proceedings, Part II
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Hyperparameter Tuning for Machine and Deep Learning with R: A Practical Guide
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Hyperparameter Tuning for Machine and Deep Learning with R: A Practical Guide
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Bringing Machine Learning to Software-Defined Networks
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Bayesian Statistical Modeling with Stan, R, and Python
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Data Analytics Applications in Emerging Markets
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