„supervised learning“
Suchergebnisse
2.377 Treffer
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Semi-Supervised Learning for Model Robustness Improvement and Annotation Cost Reduction
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Self-Supervised Adversarial Shape Completion
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Metabolites as predictive biomarkers for Trypanosoma cruzi exposure in triatomine bugs
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Comparing linear discriminant analysis and supervised learning algorithms for binary classification - a method comparison study
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Visual summary identification from scientific publications via self-supervised learning
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Assessing the self-reported honesty threshold in adolescent epidemiological research: comparing supervised machine learning and inferential statistical techniques
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Opportunities and challenges of supervised machine learning for the classification of motor evoked potentials according to muscles
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A supervised learning regression method for the analysis of oral sensitivity of healthy individuals and patients with chemosensory loss
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Supervised machine learning classification of psychosis biotypes based on brain structure: findings from the Bipolar-Schizophrenia network for intermediate phenotypes (B-SNIP)
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Early prediction of heart disease with data analysis using supervised learning with stochastic gradient boosting
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macJNet: weakly-supervised multimodal image deformable registration using joint learning framework and multi-sampling cascaded MIND
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Weakly supervised deep learning for diagnosis of multiple vertebral compression fractures in CT
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A self-supervised deep learning method for data-efficient training in genomics
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Machine learning augmented multi-sensor data fusion to detect aero engine fan rotor blade flutter
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Contrastive self-supervised representation learning framework for metal surface defect detection
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Supervised machine learning to validate a novel scoring system for the prediction of disease remission of functional pituitary adenomas following transsphenoidal surgery
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Self-Supervised Learning for Industrial Image Anomaly Detection by Simulating Anomalous Samples
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Sentence-level sentiment analysis based on supervised gradual machine learning
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Combining unsupervised, supervised and rule-based learning: the case of detecting patient allergies in electronic health records
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Self-supervised learning with application for infant cerebellum segmentation and analysis