„multi-task learning“
Suchergebnisse
614 Treffer
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Radiogenomics based survival prediction of small-sample glioblastoma patients by multi-task DFFSP model
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RI-PCGrad: Optimizing multi-task learning with rescaling and impartial projecting conflict gradients
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Learning the weights using attribute order information for multi-criteria decision making tasks
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A multi-task deep learning approach for real-time view classification and quality assessment of echocardiographic images
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Multi‐Task Multi‐Fidelity Learning of Properties for Energetic Materials
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Fault-MTL: A Multi-task Deep Learning Approach for Simultaneous Fault Classification and Localization in Power Systems
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An improved multi-task approach for SHM missing data reconstruction using attentive neural process and meta-learning
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Leveraging multiplexed metasurfaces for multi-task learning with all-optical diffractive processors
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Real-time estimation of the optimal coil placement in transcranial magnetic stimulation using multi-task deep learning
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Biologically interpretable multi-task deep learning pipeline predicts molecular alterations, grade, and prognosis in glioma patients
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Gas permeability, diffusivity, and solubility in polymers: Simulation-experiment data fusion and multi-task machine learning
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A multi-task effectiveness metric and an adaptive co-training method for enhancing learning performance with few samples
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A comprehensive multi-task deep learning approach for predicting metabolic syndrome with genetic, nutritional, and clinical data
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A novel multitask learning algorithm for tasks with distinct chemical space: zebrafish toxicity prediction as an example
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Journeys/Viaggi: Intertwined multi-university English L2 and Italian L2 courses for bilingual and intercultural growth
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Multilingual and multicultural task-based learning scenarios: A pilot study from the MAGGIC project
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A multi-Task Learning based applicable AI model simultaneously predicts stage, histology, grade and LNM for cervical cancer before surgery
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Multi-task learning for medical foundation models
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Mobile computing power trading decision-making method for vehicle-mounted devices in multi-task edge federated learning
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A multi-task learning strategy to pretrain models for medical image analysis