Article-Journal

Leveraging pretrained transformers for efficient segmentation and lesion detection in cone-beam computed tomography scans
Leveraging pretrained transformers for efficient segmentation and lesion detection in cone-beam computed tomography scans
Optimizing Multiple Condition Policy Based on Real-time Degradation Signals via Model-based Reinforcement Learning
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Power generation forecasting for solar plants based on Dynamic Bayesian networks by fusing multi-source information
PV generation forecasting by fusing multi-source information with dynamic Bayesian networks.
Project DOI
Thompson sampling-based partially observable online change detection for exponential families
Thompson sampling for partially observable online change detection.
Project
Uncertainty-based active learning by bayesian U-Net for multi-label cone-beam CT segmentation
Uncertainty-based active learning by bayesian U-Net for multi-label cone-beam CT segmentation
A Bayesian partially observable online change detection approach with Thompson sampling
A Bayesian partially observable online change detection approach with Thompson sampling
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Adaptive resources allocation CUSUM for binomial count data monitoring with application to COVID-19 hotspot detection
Adaptive resources allocation CUSUM for binomial count data monitoring with application to COVID-19 hotspot detection
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ANTLER: Bayesian nonlinear tensor learning and modeler for unstructured, varying-size point cloud data
Bayesian nonlinear tensor learning for unstructured point cloud data (ANTLER).
Project
ANTLER: Bayesian Nonlinear Tensor Learning and Modeler for Unstructured, Varying-Size Point Cloud Data
Unstructured point clouds of varying sizes are increasingly acquired in a variety of environments through laser triangulation or Light …
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Posterior Regularized Bayesian Neural Network incorporating soft and hard knowledge constraints
Posterior Regularized Bayesian Neural Network incorporating soft and hard knowledge constraints
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