Results 121 to 130 of about 1,009,621 (180)

Bayesian selective scan for robust long-horizon action recognition via reliability-aware discretization. [PDF]

Front Robot AI
Wang C.
europepmc   +1 more source

Efficient Uncertainty Quantification in Medical Imaging via Mamba State Space Models. [PDF]

Tomography
Güneş A.
europepmc   +1 more source

SmartHisto: Bayesian active learning for histology images. [PDF]

PLoS Comput Biol
Vijendran S, Arruda B, Anderson TK, Eulenstein O.   +3 more
europepmc   +1 more source

Uncertainty Quantification with Domain Classification Models for Acetylcholinesterase Inhibition. [PDF]

J Chem Inf Model
Harris JS, Vignaux PA, Lane TR, Ekins S.
europepmc   +1 more source

Segmenting with confidence through uncertainty quantification for brain tumor imaging. [PDF]

NPJ Digit Med
Guennoun Y, Nedelec P, McArthur M, Bloch E, Wei J, Sugrue L, Calabrese E, Rauschecker AM.   +7 more
europepmc   +1 more source

Evaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric uncertainty

Uncertainty-aware deep learning (DL) models recently gained attention in fault diagnosis as a way to promote the reliable detection of faults when out-of-distribution (OOD) data arise from unseen faults (epistemic uncertainty) or the presence of noise ...
Orsenigo, Carlotta, Mor, Andrea, Vercellis, Carlo, Jalayer, Masoud, Jalayer, Reza   +4 more
core  

Bayesian Convolutional Neural Networks for Uncertainty-Aware Classification of Infrasound Events. [PDF]

Sensors (Basel)
Yin H, Zhang K, Lu Y, Chang Y, Wu Y, Yang F, Li X, Xu J, Pang X.   +8 more
europepmc   +1 more source

Information-Entropy-Guided Counterfactual Stability Modeling and Replay-Based Selective Override for Context-Fragile Branch Prediction. [PDF]

Entropy (Basel)
Cheng Y, Yin C, Tan Y, Yang X.
europepmc   +1 more source

Interval Prediction of Remaining Useful Life Based on Uncertainty Quantification with Bayesian Convolutional Neural Networks Featuring Dual-Output Units. [PDF]

Sensors (Basel)
Qu Z, He J, Liu Y, Mao S, Han X.
europepmc   +1 more source

Robust and Real-Time Occupancy Grid Map Prediction via Aleatoric Uncertainty and Neural Network Acceleration on Embedded Systems

This paper introduces a robust and real-time occupancy grid map (OGM) prediction algorithm that leverages aleatoric uncertainty and neural network acceleration algorithms.
Oh, Hyondong, Shin, Heejung, Kim, Seunghwan, Yim, Gaeun   +3 more
core