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Found 6 papers, 1 papers with code
Automated Computation of Therapies Using Failure Mode and Effects Analysis in the Medical Domain
Failure mode and effects analysis (FMEA) is a systematic approach to identify and analyse potential failures and their effects in a system or process.
Anatomy-guided domain adaptation for 3D in-bed human pose estimation
As a remedy, we present a novel domain adaptation method, adapting a model from a labeled source to a shifted unlabeled target domain.
A real-time GP based MPC for quadcopters with unknown disturbances
Unfortunately, the computational complexity of inference and learning on classical GPs scales cubically, which is intractable for real-time applications.
Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Challenges and Solutions
This survey provides an overview of the technical and procedural challenges involved in creating medical machine learning systems responsibly and in conformity with existing regulations, as well as possible solutions to address these challenges.
Scalable Gaussian Process Regression for Kernels with a Non-Stationary Phase
Our approach employs multiple sets of non-equidistant inducing points to account for the non-stationarity and retrieve Toeplitz and Kronecker structure in the kernel matrix allowing for efficient inference.
On Approximate Nonlinear Gaussian Message Passing On Factor Graphs
Factor graphs have recently gained increasing attention as a unified framework for representing and constructing algorithms for signal processing, estimation, and control.
