„supervised learning“
Suchergebnisse
2.377 Treffer
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On Paradox of Fuzzy Modeling: Supervised Learning for Rectifying Fuzzy Membership Function
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Deceiving supervised machine learning models via adversarial data poisoning attacks: a case study with USB keyboards
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Flow starvation during square-flow assisted ventilation detected by supervised deep learning techniques
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Weakly Supervised Learning Method for Semantic Segmentation of Large-Scale 3D Point Cloud Based on Transformers
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Semi‐Supervised Learning Leveraging Denoising Diffusion Probabilistic Models for the Characterization of Nanophotonic Devices
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Semi-supervised fuzzy broad learning system based on mean-teacher model
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How to track and segment fish without human annotations: a self-supervised deep learning approach
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Improving image classification of gastrointestinal endoscopy using curriculum self-supervised learning
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Deep self-supervised machine learning algorithms with a novel feature elimination and selection approaches for blood test-based multi-dimensional health risks classification
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Evaluation of Effectiveness of Self-Supervised Learning in Chest X-Ray Imaging to Reduce Annotated Images
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DeepETPicker: Fast and accurate 3D particle picking for cryo-electron tomography using weakly supervised deep learning
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Mutual character dialogue generation with semi-supervised multitask learners and awareness
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Enabling large-scale screening of Barrett’s esophagus using weakly supervised deep learning in histopathology
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Monitoring the coastal-offshore water interactions in the Levantine Sea using ocean color and deep supervised learning
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Expressive quantum supervised machine learning using Kerr-nonlinear parametric oscillators
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Differentiation of Occlusal Discolorations and Carious Lesions with Hyperspectral Imaging In Vitro
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Synthesising large, low cost and diverse datasets for robust semantic segmentation in self-driving tasks
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Automated segmentation of lesions and organs at risk on [68Ga]Ga-PSMA-11 PET/CT images using self-supervised learning with Swin UNETR
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Self-supervised CondenseNet for feature learning to increase the accuracy in image classification
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Online semi-supervised learning of composite event rules by combining structure and mass-based predicate similarity