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  1. 2041
    A Generative Adversarial Network Structure for Learning with Small Numerical Data Sets
    “... is scarce. As a result, machine learning may not provide precise results. Obtaining more information from a...”
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  2. 2042
    CNN-Based Spectral Super-Resolution of Panchromatic Night-Time Light Imagery: City-Size-Associated Neighborhood Effects
    “... or on a commercial basis only. In our recent work, we examined several machine learning techniques...”
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  3. 2043
    Achieving Resilience and Business Sustainability during COVID-19: The Role of Lean Supply Chain Practices and Digitalization
    por Matteo Trabucco, Pietro De Giovanni
    Publicado 2021
    “... systems, and Big Data and Machine Learning enable firms’ resilience. We first explore the background...”
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  4. 2044
    Assessing predicted HIV-1 replicative capacity in a clinical setting.
    “... machine-learning tool, which predicts RC values from partial pol sequences with genotypic and clinical...”
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  5. 2045
    PseUdeep: RNA Pseudouridine Site Identification with Deep Learning Algorithm
    “... for disease mechanism and biological processes research in which machine learning algorithms are desirable...”
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  6. 2046
    Visually guided preprocessing of bioanalytical laboratory data using an interactive R notebook (pguIMP)
    “...Abstract The evaluation of pharmacological data using machine learning requires high data quality...”
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  7. 2047
    A genomic signature for accurate classification and prediction of clinical outcomes in cancer patients treated with immune checkpoint blockade immunotherapy
    “..., but application has been limited to a subset of cancer patients. We hypothesized that advanced machine-learning...”
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  8. 2048
    Lung adenocarcinoma and lung squamous cell carcinoma cancer classification, biomarker identification, and gene expression analysis using overlapping feature selection methods
    por Joe W. Chen, Joseph Dhahbi
    Publicado 2021
    “... machine learning algorithms or develop novel algorithms for biomarker discovery. However, few have used...”
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  9. 2049
    An interpretable multiple-instance approach for the detection of referable diabetic retinopathy in fundus images
    “... of treatment, thereby lowering their chances for a successful outcome. Machine learning systems...”
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  10. 2050
    Deep Learning for Improved Risk Prediction in Surgical Outcomes
    “... predict in-hospital mortality rates. We apply machine learning models to predict and calculate individual...”
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  11. 2051
    Genetic diversity associated with natural rubber quality in elite genotypes of the rubber tree
    “....) Müell. Arg.]. Multivariate analysis and machine learning techniques were used, targeting the selection...”
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  12. 2052
    Graph Embedding Based Novel Gene Discovery Associated With Diabetes Mellitus
    “... denoising and regeneration using stacked autoencoder; and disease-gene prediction based on machine learning...”
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  13. 2053
    The morphological mapping of lateral compression type 1 pelvic fracture and pelvic ring stability classification: a finite element analysis
    “... stability using machine learning for morphological mapping and classification of pelvic ring stability...”
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  14. 2054
    Virtual screening models for prediction of HIV-1 RT associated RNase H inhibition.
    “.... The methods used here include machine-learning algorithms (e.g. support vector machine, random forest...”
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  15. 2055
    Distributed fading memory for stimulus properties in the primary visual cortex.
    “... from machine learning in order to analyze the temporal evolution of stimulus-related information...”
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  16. 2056
    Fingerlings mass estimation: A comparison between deep and shallow learning algorithms
    “..., using machine learning techniques to support the fish production process. For this purpose, an image...”
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  17. 2057
    Malware detection based on semi-supervised learning with malware visualization
    por Tan Gao, Lan Zhao, Xudong Li, Wen Chen
    Publicado 2021
    “... generation and mutation of malware. Methods based on traditional machine learning often require a lot of time...”
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  18. 2058
    Diagnostic Accuracy of Delayed Phase Post Contrast Computed Tomographic Images in the Diagnosis of Focal Liver Lesions in Dogs: 69 Cases
    “... for each case. Lastly, a machine learning-based decision tree was developed to predict the lesion histotype...”
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  19. 2059
    Causality Mining in Natural Languages Using Machine and Deep Learning Techniques: A Survey
    “...The era of big textual corpora and machine learning technologies have paved the way for researchers...”
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  20. 2060
    Review on FPGA-Based Accelerators in Deep Learning
    “... technology of machine learning, deep learning which has been widely used in speech recognition, image...”
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