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  1. 3201
    Sea Ice Monitoring with CFOSAT Scatterometer Measurements Using Random Forest Classifier
    “... of CSCAT in monitoring polar sea ice using a machine learning-aided random forest classifier...”
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  2. 3202
    Feature Importance of Acute Rejection among Black Kidney Transplant Recipients by Utilizing Random Forest Analysis: An Analysis of the UNOS Database
    “... to White recipients. The feature importance and feature interaction network analysis framework of machine...”
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  3. 3203
    Hierarchical genetic structure in an evolving species complex: Insights from genome wide ddRAD data in Sebastes mentella.
    “... based on a machine-learning algorithm. This first SNP based investigation clarifies the population...”
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  4. 3204
    Simple Detection of Epilepsy From EEG Signal Using Local Binary Pattern Transition Histogram
    “... EEG signals for machine learning classification of epilepsy, achieving high classification accuracy...”
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  5. 3205
    Unravelling a black box: an open-source methodology for the field calibration of small air quality sensors
    “... in an urban environment using both multiple linear regression (MLR) and the random forest (RF) machine...”
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  6. 3206
    A Scatter-and-Gather Spiking Convolutional Neural Network on a Reconfigurable Neuromorphic Hardware
    “... the state-of-the-art results for many machine learning tasks. However, inference with large-scale full...”
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  7. 3207
    Improved Prediction of Bacterial Genotype-Phenotype Associations Using Interpretable Pangenome-Spanning Regressions
    “... to popular machine learning methods, while retaining both interpretability and computational efficiency...”
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  8. 3208
    Eastern Black Rail detection using semi-automated analysis of long-duration acoustic recordings
    “.... Second, we used a machine learning model (Random Forest in regression mode) to automate the scanning...”
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  9. 3209
    Transcriptional regulation of lineage commitment--a stochastic model of cell fate decisions.
    “... commitment. We define putative regulators of commitment and probabilistic rules of transition through machine...”
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  10. 3210
    Multivariable Case Adaptation Method of Case-Based Reasoning Based on Multi-Case Clusters and Multi-Output Support Vector Machine for Equipment Maintenance Cost Prediction
    por Mingchi Lin, Dubo He, Shengxiang Sun
    Publicado 2021
    “... with traditional statistical-based and machine learning-based methods. Empirical comparison results indicated...”
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  11. 3211
    Identifying Black Corals and Octocorals From Deep-Sea Imagery for Ecological Assessments: Trade-Offs Between Morphology and Taxonomy
    “... inventory, change detection (monitoring) – and to develop automated annotation using machine learning....”
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  12. 3212
    Influence of stroke infarct location on quality of life assessed in a multivariate lesion-symptom mapping study
    “... were completed 90 days after stroke. Lesion symptom mapping was performed using a multivariate machine...”
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  13. 3213
    A new strategy to map landslides with a generalized convolutional neural network
    “... pixel-based and object-based methods exploiting data-intensive machine learning algorithms. Recent works...”
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  14. 3214
    A cost-effective method to monitor vegetation changes in steppes ecosystems: A case study on remote sensing of fire and infrastructure effects in eastern Mongolia
    “... are integrated to satellite data. Here, we studied the spatial distribution of PFG using machine learning and a...”
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  15. 3215
    Determining the contribution of environmental factors in controlling dust pollution during cold and warm months of western Iran using different data mining algorithms and game theory
    “... DSI (CMDSI) and warm months DSI (WMDSI) were higher compared to other traditional machine learning...”
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  16. 3216
    Remote sensing inversion of grassland aboveground biomass based on high accuracy surface modeling
    “...-River Source Region (TRSR) of China. Three machine learning models were used to simulate the grassland...”
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  17. 3217
    Using sentinel-2 satellite imagery to develop microphytobenthos-based water quality indices in estuaries
    por Simon Oiry, Laurent Barillé
    Publicado 2021
    “... water quality in transitional waters using Sentinel-2 (S2) satellite imagery. A Random Forest machine...”
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  18. 3218
    A method for the identification of COVID-19 biomarkers in human breath using Proton Transfer Reaction Time-of-Flight Mass Spectrometry
    “...-MS). The produced mass spectra were introduced to a series of machine learning models. 70...”
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  19. 3219
    DroidEnsemble: Detecting Android Malicious Applications With Ensemble of String and Structural Static Features
    “... graph. We then use three machine learning algorithms, namely, support vector machine, k-nearest neighbor...”
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  20. 3220
    In silico approach for predicting toxicity of peptides and proteins.
    “... based on machine learning technique and quantitative matrix using various properties of peptides...”
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