Using flow cytometry and multistage machine learning to discover label-free signatures of algal lipid accumulation
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Phys Biol (2019)
A systematic review on machine learning in sellar region diseases: quality and reporting items
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Endocr Connect (2019)
Decoding electroencephalographic signals for direction in brain-computer interface using echo state network and Gaussian readouts
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Comput. Biol. Med. (2019) 110, 254-264
Mammogram segmentation using multi-atlas deformable registration
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Machine learning methods for developing precision treatment rules with observational data
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Novel Machine Learning Application for Prediction of Membrane Insertion Potential of Cell-Penetrating Peptides
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Objectively Measured Chronic Lung Injury on Chest Computed Tomography
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Selection at behavioral, developmental and metabolic genes is associated with the northward expansion of a successful tropical colonizer
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Mol. Ecol. (2019)
Artificial intelligence, machine learning & deep learning: Definitions and differences
Jakhar, Kaur
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ML-Net: multi-label classification of biomedical texts with deep neural networks
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J Am Med Inform Assoc (2019)
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[A review on brain age prediction in brain ageing]
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[Research on algorithms for identifying the severity of acute respiratory distress syndrome patients based on noninvasive parameters]
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Exploring spatiotemporal neural dynamics of the human visual cortex
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A machine learning approach to calibrate generic Raman models for real-time monitoring of cell culture processes
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Multi-Institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation
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Empirical Analysis of Weapons of Influence, Life Domains, and Demographic-Targeting in Modern Spam - An Age-Comparative Perspective
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Crime Sci (2019) 8,
Combining computer vision and deep learning to enable ultra-scale aerial phenotyping and precision agriculture: A case study of lettuce production
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Hortic Res (2019) 6, 70
Automatic steel labeling on certain microstructural constituents with image processing and machine learning tools
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