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  1. 2161
    Predicting heterogeneous ice nucleation with a data-driven approach
    “... of a substrate is challenging. Here the authors develop a machine-learning data-driven approach...”
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  2. 2162
    Hotspot exons are common targets of splicing perturbations
    “...Splicing-disrupting mutations are linked to diseases. By employing a machine learning approach...”
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  3. 2163
    Towards a fully automated algorithm driven platform for biosystems design
    “... with machine learning algorithms to fully automate the DBTL cycle and apply it in optimizing the lycopene...”
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  4. 2164
    Clustering earthquake signals and background noises in continuous seismic data with unsupervised deep learning
    “... to be evaluated in a timely fashion. Seydoux and colleagues develop a machine learning framework that can detect...”
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  5. 2165
    Learning dominant physical processes with data-driven balance models
    “... processes. Callaham et al. propose a machine learning approach for the identification of dominant regimes...”
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  6. 2166
    Quantitative prediction of grain boundary thermal conductivities from local atomic environments
    “... in materials analysis and design. Here the authors develop a physical model combined with a machine-learning...”
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  7. 2167
    Enhancing materials property prediction by leveraging computational and experimental data using deep transfer learning
    “...Machine-learning approaches based on DFT computations can greatly enhance materials discovery. Here...”
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  8. 2168
    Predicting mammalian hosts in which novel coronaviruses can be generated
    “..., Wardeh et al. develop a machine learning approach to predict associations between mammals and multiple...”
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  9. 2169
    Emergent vulnerability to climate-driven disturbances in European forests
    “... scales is challenging. Here the authors apply machine learning to disturbance records and satellite data...”
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  10. 2170
    Simulating the ghost: quantum dynamics of the solvated electron
    “... the authors use a machine-learning model trained on MP2 data to achieve an accurate determination...”
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  11. 2171
    Spatiotemporal prediction of COVID-19 cases using inter- and intra-county proxies of human interactions
    “... spatiotemporal machine learning model to predict county level new cases in the US using a variety of predictive...”
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  12. 2172
    Between peace and hate: Framing the 2014 Colombian presidential election on Twitter
    por García-Perdomo,Víctor
    Publicado 2017
    “... analysis platform that applies supervised, machine-learning algorithms, this study collected and analyzed...”
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  13. 2173
    Systems biology informed neural networks (SBINN) predict response and novel combinations for PD-1 checkpoint blockade
    “...Michelle Przedborski et al. report an integrative systems biology and machine learning method...”
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  14. 2174
    An interpretable approach for social network formation among heterogeneous agents
    “... use game theory to establish a network model and then use a machine learning approach to characterize...”
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  15. 2175
    Quantum algorithms for topological and geometric analysis of data
    “... the efficient extraction of useful information. Here, the authors propose a quantum machine learning algorithm...”
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  16. 2176
    A geometric-information-enhanced crystal graph network for predicting properties of materials
    “...Graph neural networks are an accurate machine learning-based approach for property prediction. Here...”
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  17. 2177
    Prediction of organic homolytic bond dissociation enthalpies at near chemical accuracy with sub-second computational cost
    “..., their computations with quantum mechanical methods being highly demanding. Here the authors develop a machine...”
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  18. 2178
    Signal and noise extraction from analog memory elements for neuromorphic computing
    “... the impact of a broad range of device switching mechanisms using machine learning regression techniques....”
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  19. 2179
    Using centrality measures to improve the classification performance of tweets during natural disasters
    “... to the current disaster from the whole streaming. To address this problem, machine learning allows to classify...”
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  20. 2180
    Understanding the diversity of the metal-organic framework ecosystem
    “... a machine-learning based approach to quantify the structural and chemical diversity in common MOF...”
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