„Supervised Learning“
Suchergebnisse
2.377 Treffer
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Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology
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A supervised contrastive learning-based model for image emotion classification
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ConsInstancy: learning instance representations for semi-supervised panoptic segmentation of concrete aggregate particles
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Some Aspects of Combining Data and Models in Process Engineering
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Supervised Contrastive Learning for RFF Identification With Limited Samples
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The predictive value of supervised machine learning models for insomnia symptoms through smartphone usage behavior
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Finding the semantic similarity in single-particle diffraction images using self-supervised contrastive projection learning
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Multi-modal representation learning in retinal imaging using self-supervised learning for enhanced clinical predictions
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Application of Semi-supervised Fuzzy Clustering Based on Knowledge Weighting and Cluster Center Learning to Mammary Molybdenum Target Image Segmentation
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Evaluation of semi-supervised learning using sparse labeling to segment cell nuclei
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Radial basis function networks for convolutional neural networks to learn similarity distance metric and improve interpretability
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Towards label-free defect detection in additive manufacturing via dual-classifier semi-supervised learning for vision-language models
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Self-Supervised Learning for Near-Wild Cognitive Workload Estimation
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Diversified Ensemble of Independent Sub-networks for Robust Self-supervised Representation Learning
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Computational tissue staining of non-linear multimodal imaging using supervised and unsupervised deep learning
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Prediction of bubble sizes in bubble columns with machine learning methods
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Confidence-aware self-supervised learning for dense monocular depth estimation in dynamic laparoscopic scene
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Data-based ensemble approach for semi-supervised anomaly detection in machine tool condition monitoring
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Prediction of persistent post-surgery pain by preoperative cold pain sensitivity : biomarker development with machine-learning-derived analysis
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Exploiting the potential of unlabeled endoscopic video data with self-supervised learning