„Multi-task learning“
Suchergebnisse
614 Treffer
-
MGASM-Net: morphology-guided multi-task learning network with anatomic spatial mamba for 3D airway segmentation
-
Deep multi-task learning framework for gastrointestinal lesion-aided diagnosis and severity estimation
-
Multi-task learning for categorizing road accidents using social media data: a hybrid deep learning framework
-
MTMedFormer: multi-task vision transformer for medical imaging with federated learning
-
Multi-task reinforcement learning and explainable AI-Driven platform for personalized planning and clinical decision support in orthodontic-orthognathic treatment
-
An explainable multi-task deep learning framework for crash severity prediction using multi-source data
-
Multi objective reinforcement learning driven task offloading algorithm for satellite edge computing networks
-
stGRL: spatial domain identification, denoising, and imputation algorithm for spatial transcriptome data based on multi-task graph contrastive representation learning
-
An improved adaptive multi-tasking differential evolutionary algorithm with opposition-based learning
-
Catheter detection and segmentation in X-ray images via multi-task learning
-
Risk Classification of Low-Resolution Whole-Slide Thumbnail Images by Multi-dimensional Feature Reconstruction with Multi-task Deep Learning Network Helps Prioritize Pathology Case Registration
-
Enhancing Parameter Calibration in Land Surface Models Using a Multi-Task Surrogate Model within a Differentiable Parameter Learning Framework
-
Neural network-based multi-task learning to assist planning of posterior spinal fusion surgery for adolescent idiopathic scoliosis
-
Energy-Efficient Task Offloading in Multi-server Mobile Edge Computing Networks: A Deep Reinforcement Learning Approach
-
Task-oriented and attractor regularized multi-task learning for environmental spatial–temporal time series prediction
-
Harnessing multi-task learning to improve overlapping relation extraction
-
Geometry-aware multi-task learning network for outlier removal and denoising in scanned point clouds of aerospace thin-walled parts
-
FR-EAHTS: federated reinforcement learning for enhanced task scheduling with hierarchical load balancing and dynamic power adjustment in multi-core systems
-
Solving Large Scale Learning Tasks. Challenges and Algorithms – Essays Dedicated to Katharina Morik on the Occasion of Her 60th Birthday
-
UCP: a unified framework for code generation with pseudocode-based multi-task learning and reinforcement alignment