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  1. 3221
    The Feasibility of Conducting Safe Objective Structured Clinical Exams (OSCEs) During the COVID-19 Era
    por Alshaya A, Alowais S, Alharbi S, Albekairy A
    Publicado 2021
    “... for coordination to ensure students’ and staff safety while adopting machine learning applications as a public...”
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  2. 3222
    Unsupervised eye pupil localization through differential geometry and local self-similarity matching.
    “... are, unfortunately, based on supervised machine learning algorithms which require initial sessions to set the working...”
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  3. 3223
    Entretien
    por Dominique Boullier
    Publicado 2021
    “... des algorithmes et de leur puissance prédictive supposée grâce au Machine Learning »....”
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  4. 3224
    Prediction models for child and adolescent mental health: A systematic review of methodology and reporting in recent research
    “... predicting ADHD diagnosis in an external validation sample to 0.99 for a machine learning model predicting...”
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  5. 3225
    Геморрагический инсульт: нейрофизиологические предикторы острого периода
    “... of hemorrhagic stroke upon admission.Conclusion. Machine learning methods allow creating algorithms...”
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  6. 3226
    Predicting Di-2-Ethylhexyl Phthalate Toxicity: Hybrid Integrated Harris Hawks Optimization With Support Vector Machines
    “..., the proposed SGLHHO-SVM is also compared with other machine learning algorithms on a real-life DEHP sampled...”
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  7. 3227
    DETECTION AND SPATIAL ANALYSIS OF LAND-USE: A CASE OF BUTUAN CITY WITH HISTORY OF MAJOR INFORMAL SETTLEMENTS
    “... the growth rate in 15 years with the given five-year interval. Machine learning algorithms and spatial...”
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  8. 3228
    Feature engineering and a proposed decision-support system for systematic reviewers of medical evidence.
    “... machine learning classifier. Based on our findings, we propose an automated system to reduce screeing...”
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  9. 3229
    Curated microRNAs in urine and blood fail to validate as predictive biomarkers for high-risk prostate cancer.
    “... radical prostatectomy. A machine learning approach was applied to test the predictive ability of all...”
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  10. 3230
    Unsupervised Anomaly Approach to Pedestrian Age Classification from Surveillance Cameras Using an Adversarial Model with Skip-Connections
    “...Anomaly detection is an active research area within the machine learning and scene understanding...”
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  11. 3231
    A neural network for glomerulus classification based on histological images of kidney biopsy
    “... techniques and machine learning, whose objective was to classify the condition affecting renal corpuscles...”
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  12. 3232
    Applications of neural networks for crack initiation and propagation monitoring in aircraft structures
    “... technically false equipment. Unlike the detection methods of other machine learning detection systems...”
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  13. 3233
    Microbial source tracking of fecal contamination in Laguna Lake, Philippines using the library-dependent method, rep-PCR
    “... DNA fingerprinting of E. coli, coupled with machine learning algorithms, can be used to discriminate...”
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  14. 3234
    Prognostic models of diabetic microvascular complications: a systematic review and meta-analysis
    “..., otherwise machine learning. In cohorts, the discriminative performance in derived-logit was pooled with C...”
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  15. 3235
    An Advanced Methodology to Enhance Energy Efficiency and Performance in a Hospital Cooling-Water System
    por Dulce Chamorro, Eduardo
    Publicado 2021
    “... problems in this type of facility. By applying Machine Learning (ML) models to predict cooling demand...”
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  16. 3236
    Editorial introduction to J.UCS special issue Challenges for Smart Environments – Human-Centered Computing, Data Science, and Ambient Intelligence I
    por Nelson Baloian, José Pino
    Publicado 2021
    “... is related to the concept of explainability of the machine learning models. It refers to the ability...”
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  17. 3237
    Quantitative nuclear phenotype signatures predict nodal disease in oral squamous cell carcinoma.
    “...-treatment and under-treatment. We present a machine-learning-based model using the quantitative nuclear...”
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  18. 3238
    Association of <named-content content-type="genus-species">Flavonifractor plautii</named-content>, a Flavonoid-Degrading Bacterium, with the Gut Microbiome of Colorectal Cancer Patients in India
    “... healthy microbiomes with high accuracy based on machine learning approaches. IMPORTANCE This study...”
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  19. 3239
    Predicting sensitivity of recently harvested tomatoes and tomato sepals to future fungal infections
    “.... This paper investigates Near-infrared (NIR) hyperspectral imaging (1000–1700 nm) and machine learning...”
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  20. 3240
    Understanding the complexity of sepsis mortality prediction via rule discovery and analysis: a pilot study
    por Ying Wu, Shuai Huang, Xiangyu Chang
    Publicado 2021
    “...., commonly used medical scoring system and benchmark machine learning models). External validation...”
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