„Meta-Learning“
Suchergebnisse
4.366 Treffer
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DeepARG: a deep learning approach for predicting antibiotic resistance genes from metagenomic data
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Effectiveness of problem-based learning in Chinese pharmacy education: a meta-analysis
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Biologically Inspired Cognitive Architectures (BICA) for Young Scientists – Proceedings of the First International Early Research Career Enhancement School on BICA and Cybersecurity (FIERCES 2017)
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Oxidation Driven Thin‐Film Solid‐State Metal Dealloying Forming Bicontinuous Nanostructures (Adv. Mater. Interfaces 35/2023)
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Cellular Automata Inspired Multistable Origami Metamaterials for Mechanical Learning (Adv. Sci. 34/2023)
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A Colorimetric Label‐Free Sensor Array of Metal–Organic‐Framework‐Based Fabry–Pérot Films for Detecting Volatile Organic Compounds and Food Spoilage (Adv. Mater. Interfaces 28/2023)
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Deep‐Learning‐Enabled Intelligent Design of Thermal Metamaterials (Adv. Mater. 33/2023)
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Theory‐Guided Machine Learning to Predict the Performance of Noble Metal Catalysts in the Water‐Gas Shift Reaction
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Cover Picture: Data Curation can Improve the Prediction Accuracy of Metabolic Intrinsic Clearance (Mol. Inf. 1‐2/2019)
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Accelerating Auxetic Metamaterial Design with Deep Learning
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Searching for an Optimal Multi‐Metallic Alloy Catalyst by Active Learning Combined with Experiments (Adv. Mater. 19/2022)
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The Dawn of Metamaterial Engineering Predicted via Hyperdimensional Keyword Pool and Memory Learning (Advanced Optical Materials 8/2022)
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Automatic Prediction of Metal–Oxide–Semiconductor Field‐Effect Transistor Threshold Voltage Using Machine Learning Algorithm
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Monitoring Retinoblastoma by Machine Learning of Aqueous Humor Metabolic Fingerprinting (Small Methods 1/2022)
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Global Inverse Design across Multiple Photonic Structure Classes Using Generative Deep Learning (Advanced Optical Materials 20/2021)
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Machine Learning: Machine Learning Method Reveals Hidden Strong Metal‐Support Interaction in Microscopy Datasets (Small Methods 5/2021)
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Biosensors: Infrared Metasurface Augmented by Deep Learning for Monitoring Dynamics between All Major Classes of Biomolecules (Adv. Mater. 14/2021)
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Multifunctional Metasurface Design with a Generative Adversarial Network (Advanced Optical Materials 5/2021)
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Machine Learning: TCO‐Based Active Dielectric Metasurfaces Design by Conditional Generative Adversarial Networks (Adv. Theory Simul. 2/2021)
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Predicting the martensite content of metastable austenitic steels after cryogenic turning using machine learning