Using flow cytometry and multistage machine learning to discover label-free signatures of algal lipid accumulation
Tanhaemami, Alizadeh, Sanders et al
Phys Biol (2019)
A systematic review on machine learning in sellar region diseases: quality and reporting items
Endocr Connect (2019)
Decoding electroencephalographic signals for direction in brain-computer interface using echo state network and Gaussian readouts
Kim, Jeong
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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Behav Res Ther (2019) 120, 103412
Novel Machine Learning Application for Prediction of Membrane Insertion Potential of Cell-Penetrating Peptides
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Int J Pharm (2019)
Objectively Measured Chronic Lung Injury on Chest Computed Tomography
Harmouche, Ash, Putman et al
Chest (2019)
Selection at behavioral, developmental and metabolic genes is associated with the northward expansion of a successful tropical colonizer
Bourgeois, Boissinot
Mol. Ecol. (2019)
Artificial intelligence, machine learning & deep learning: Definitions and differences
Jakhar, Kaur
Clin. Exp. Dermatol. (2019)
ML-Net: multi-label classification of biomedical texts with deep neural networks
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J Am Med Inform Assoc (2019)
Clinical pharmacology of old age
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Expert Rev Clin Pharmacol (2019)
[A review on brain age prediction in brain ageing]
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[Automatic classification method of arrhythmia based on discriminative deep belief networks]
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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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Sheng Wu Yi Xue Gong Cheng Xue Za Zhi (2019) 36, 435-443
Exploring spatiotemporal neural dynamics of the human visual cortex
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Hum Brain Mapp (2019)
A machine learning approach to calibrate generic Raman models for real-time monitoring of cell culture processes
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Biotechnol. Bioeng. (2019)
Multi-Institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation
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Brainlesion (2016) (2019) 11383, 92-104
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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