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  1. 1961
    Deep forest model for diagnosing COVID-19 from routine blood tests
    “... for combating the disease. To help with the limited quantity of swab tests, we propose a machine learning...”
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  2. 1962
    Early prognosis of respiratory virus shedding in humans
    “...-symptomatic infections from uninfected individuals. Our machine learning experiments are conducted on publicly...”
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  3. 1963
    Framework for evaluating statistical models in physics education research
    “... and machine learning techniques. In physics education research (PER), this increased focus has recently been...”
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  4. 1964
    Predictive modeling of clinical trial terminations using feature engineering and embedding learning
    por Magdalyn E. Elkin, Xingquan Zhu
    Publicado 2021
    “...Abstract In this study, we propose to use machine learning to understand terminated clinical trials...”
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  5. 1965
    Learning fine-grained estimation of physiological states from coarse-grained labels by distribution restoration
    “...., the severity of pathological tremor) has aroused growing interest in machine learning community. While...”
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  6. 1966
    Uporaba metod strojnega učenja za preučevanje odnosov med značilnostmi branik in okoljem
    “..., (multiple) linear regression (MLR) with four nonlinear machine learning methods are compared: artificial...”
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  7. 1967
    Heat demand forecasting in District Heating Network using XGBoost algorithm
    “... of the machine learning method based on the historical data. The XGBoost (Extreme Gradient Boosting) algorithm...”
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  8. 1968
    Matheuristics and Column Generation for a Basic Technician Routing Problem
    “... by using previous matheuristics and machine learning techniques to stabilize and speed up the convergence...”
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  9. 1969
    Predicting seismic-induced liquefaction through ensemble learning frameworks
    “... uncertainty of ensembles, compared with single machine learning models....”
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  10. 1970
    In silico design and optimization of selective membranolytic anticancer peptides
    “... the rational design of potent and selective anticancer peptides. This machine learning model distinguishes...”
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  11. 1971
    Experimental quantum kernel trick with nuclear spins in a solid
    “...Abstract The kernel trick allows us to employ high-dimensional feature space for a machine learning...”
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  12. 1972
    User adaptation in Myoelectric Man-Machine Interfaces
    “... to lack of reliability. In this study, we analyse two conceptually different machine learning approaches...”
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  13. 1973
    Accurate prediction of birth implementing a statistical model through the determination of steroid hormones in saliva
    “... for the first time machine learning algorithms for the prediction of whether spontaneous labour will occur from...”
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  14. 1974
    Comparison of dissimilarity measures for cluster analysis of X-ray diffraction data from combinatorial libraries
    “...Machine learning: Spying enhanced materials with x-ray vision Using algorithms to automatically...”
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  15. 1975
    Soft Computing Methodology to Optimize the Integrated Dynamic Models of Cellular Manufacturing Systems in a Robust Environment
    “...Machine learning, neural networks, and metaheuristic algorithms are relatively new subjects...”
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  16. 1976
    Approaches to Multi-Objective Feature Selection: A Systematic Literature Review
    “... learning and data mining in recent years. Feature selection is a popular problem in Machine learning...”
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  17. 1977
    Optimization of running-in surface morphology parameters based on the AutoML model.
    por Guangyuan Ge, Fenfen Liu, Gengpei Zhang
    Publicado 2021
    “.... Black-box models based on machine learning have robust complex object simulation performance...”
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  18. 1978
    Toward the accurate estimation of elliptical side orifice discharge coefficient applying two rigorous kernel-based data-intelligence paradigms
    “.... The results showed that the machine learning models used in this study had shown good performance compared...”
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  19. 1979
    Quantum generative adversarial networks with multiple superconducting qubits
    “... in machine learning, which have achieved dramatic success in a number of challenging tasks including image...”
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  20. 1980
    HealthTEC Innovation Design - a proposal for a novel Master degree program based on Unmet Clinical Need, global Healthcare Challenges, and 21st century skills
    por Friebe Michael
    Publicado 2020
    “... by revenue and profit motivations. The 4th industrial revolution - the machine learning age - with data...”
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