Artificial Intelligence
Search result(s): 27
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Radiomics of computed tomography and magnetic resonance imaging in renal cell carcinoma—a systematic review and meta-analysis
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A systematic machine learning and data type comparison yields metagenomic predictors of infant age, sex, breastfeeding, antibiotic usage, country of origin, and delivery type
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Beyond safety drivers: Applying air traffic control principles to support the deployment of driverless vehicles
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Robust two-stage influenza prediction model considering regular and irregular trends
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Machine learning provides evidence that stroke risk is not linear: The non-linear Framingham stroke risk score
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Osteoporotic hip fracture prediction from risk factors available in administrative claims data – A machine learning approach
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BioConceptVec: Creating and evaluating literature-based biomedical concept embeddings on a large scale
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The impact of knowledge transfer performance on the artificial intelligence industry innovation network: An empirical study of Chinese firms
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ToyArchitecture: Unsupervised learning of interpretable models of the environment
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OtoMatch: Content-based eardrum image retrieval using deep learning
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Innovative machine learning approach and evaluation campaign for predicting the subjective feeling of work-life balance among employees
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Neural networks for open and closed Literature-based Discovery
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Deep learning assisted detection of glaucomatous optic neuropathy and potential designs for a generalizable model
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Prediction of hypertension, hyperglycemia and dyslipidemia from retinal fundus photographs via deep learning: A cross-sectional study of chronic diseases in central China
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Disentangling sequential from hierarchical learning in Artificial Grammar Learning: Evidence from a modified Simon Task
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ECG-based prediction algorithm for imminent malignant ventricular arrhythmias using decision tree
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Inference on dengue epidemics with Bayesian regime switching models
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Improvement of electrocardiographic diagnostic accuracy of left ventricular hypertrophy using a Machine Learning approach
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Insight into the protein solubility driving forces with neural attention
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Scedar: A scalable Python package for single-cell RNA-seq exploratory data analysis
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