Papers Using This Method
HANS-Net: Hyperbolic Convolution and Adaptive Temporal Attention for Accurate and Generalizable Liver and Tumor Segmentation in CT Imaging2025-07-15A Simple Approximate Bayesian Inference Neural Surrogate for Stochastic Petri Net Models2025-07-14Uncertainty-Aware Deep Learning for Automated Skin Cancer Classification: A Comprehensive Evaluation2025-06-12Next-Generation Conflict Forecasting: Unleashing Predictive Patterns through Spatiotemporal Learning2025-06-08Uncertainty-Aware Genomic Classification of Alzheimer's Disease: A Transformer-Based Ensemble Approach with Monte Carlo Dropout2025-05-31Enhancing Monte Carlo Dropout Performance for Uncertainty Quantification2025-05-21Uncertainty quantification with approximate variational learning for wearable photoplethysmography prediction tasks2025-05-16QoSBERT: An Uncertainty-Aware Approach based on Pre-trained Language Models for Service Quality Prediction2025-05-09UPMAD-Net: A Brain Tumor Segmentation Network with Uncertainty Guidance and Adaptive Multimodal Feature Fusion2025-05-06Hesitation is defeat? Connecting Linguistic and Predictive Uncertainty2025-05-06A Deep Bayesian Convolutional Spiking Neural Network-based CAD system with Uncertainty Quantification for Medical Images Classification2025-04-23Last-layer committee machines for uncertainty estimations of benthic imagery2025-04-22Uncertainty Estimation for Trust Attribution to Speed-of-Sound Reconstruction with Variational Networks2025-04-15The challenge of uncertainty quantification of large language models in medicine2025-04-07Quantifying the uncertainty of model-based synthetic image quality metrics2025-04-04ConfEviSurrogate: A Conformalized Evidential Surrogate Model for Uncertainty Quantification2025-04-03Probabilistic Segmentation for Robust Field of View Estimation2025-03-10Weakly Supervised Pixel-Level Annotation with Visual Interpretability2025-02-25Epistemic Uncertainty in Conformal Scores: A Unified Approach2025-02-10AL-PINN: Active Learning-Driven Physics-Informed Neural Networks for Efficient Sample Selection in Solving Partial Differential Equations2025-02-06