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  1. 2181
    Using supervised learning to develop BaRAD, a 40-year monthly bias-adjusted global gridded radiation dataset
    por T. C. Chakraborty, Xuhui Lee
    Publicado 2021
    “...Measurement(s) radiation components at the surface Technology Type(s) machine learning Factor Type...”
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  2. 2182
    High resolution global spatiotemporal assessment of rooftop solar photovoltaics potential for renewable electricity generation
    “..., the authors report a machine learning method to realize a high-resolution global assessment of RTSPV potential....”
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  3. 2183
    Advancing diagnostic performance and clinical usability of neural networks via adversarial training and dual batch normalization
    “...Unmasking the decision making process of machine learning models is essential for implementing...”
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  4. 2184
    ECNet is an evolutionary context-integrated deep learning framework for protein engineering
    “...Protein engineering is an active area of research in which machine learning has proven quite...”
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  5. 2185
    Quantitating the epigenetic transformation contributing to cholesterol homeostasis using Gaussian process
    “... Variation Spatial Profiling strategy and machine learning, the authors map HDAC impact on a full set...”
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  6. 2186
    Correlator convolutional neural networks as an interpretable architecture for image-like quantum matter data
    “...Physical principles underlying machine learning analysis of quantum gas microscopy data...”
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  7. 2187
    Revealing the intrinsic nature of the mid-gap defects in amorphous Ge2Sb2Te5
    “... in phase-change materials is still under debate. Here the authors use machine learning and density...”
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  8. 2188
    Brain age prediction using deep learning uncovers associated sequence variants
    “...Machine learning algorithms can be trained to estimate age from brain structural MRI. Here...”
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  9. 2189
    Dynamic network coding of working-memory domains and working-memory processes
    por Eyal Soreq, Robert Leech, Adam Hampshire
    Publicado 2019
    “...) are exclusively associated with specific brain areas. Here, the authors show, using machine-learning analysis...”
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  10. 2190
    Ranking of non-coding pathogenic variants and putative essential regions of the human genome
    “... exome sequencing did not provide a genetic diagnosis. Here, Wells et al. report a supervised machine...”
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  11. 2191
    Integrating multiple materials science projects in a single neural network
    por Kan Hatakeyama-Sato, Kenichi Oyaizu
    Publicado 2020
    “...Traditionally, machine learning for materials science is based on database-specific models...”
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  12. 2192
    Data-science driven autonomous process optimization
    “...An automated closed-loop system optimizes a stereoselective Suzuki-Miyaura reaction using a machine...”
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  13. 2193
    Gaussian states of continuous-variable quantum systems provide universal and versatile reservoir computing
    “...Most attempts to delineate quantum machine-learning-related computing capabilities of continuous...”
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  14. 2194
    The molecular basis of socially mediated phenotypic plasticity in a eusocial paper wasp
    “...Connecting genotypes to complex social behaviour is challenging. Taylor et al. use machine learning...”
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  15. 2195
    DLBCL-Morph: Morphological features computed using deep learning for an annotated digital DLBCL image set
    “...Measurement(s) B-cell lymphoma • histology Technology Type(s) machine learning Factor Type...”
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  16. 2196
    Molecular-level similarity search brings computing to DNA data storage
    “... the authors use machine learning-based encoding and hybridization probes to execute similarity searches in a...”
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  17. 2197
    Realising and compressing quantum circuits with quantum reservoir computing
    “... computing and machine learning to realize efficient quantum operations without resorting to full...”
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  18. 2198
    Ion mobility collision cross-section atlas for known and unknown metabolite annotation in untargeted metabolomics
    “..., the authors optimize the machine-learning based prediction of metabolite CCS values and curate a 1.6 million...”
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  19. 2199
    Unsupervised vector-based classification of single-molecule charge transport data
    “... data sets to capture their full complexity. Here, the authors adopt strategies from machine learning...”
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  20. 2200
    Designing accurate emulators for scientific processes using calibration-driven deep models
    “...The success of machine learning for scientific discovery normally depends on how well the inherent...”
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