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Found 5 papers, 1 papers with code
Credal Wrapper of Model Averaging for Uncertainty Estimation on Out-Of-Distribution Detection
This paper presents an innovative approach, called credal wrapper, to formulating a credal set representation of model averaging for Bayesian neural networks (BNNs) and deep ensembles, capable of improving uncertainty estimation in classification tasks.
CreINNs: Credal-Set Interval Neural Networks for Uncertainty Estimation in Classification Tasks
Uncertainty estimation is increasingly attractive for improving the reliability of neural networks.
Eating Speed Measurement Using Wrist-Worn IMU Sensors in Free-Living Environments
Experimental results shows that the proposed approach achieves a mean absolute percentage error (MAPE) of 0. 110 and 0. 146 in the FD-I and FD-II datasets, respectively, showcasing the feasibility of automated eating speed measurement.
An introduction to optimization under uncertainty -- A short survey
The goal of this survey paper is to briefly touch upon the state of the art in a variety of different methods and refer the reader to other literature for more in-depth treatments of the topics discussed here.
Eat-Radar: Continuous Fine-Grained Intake Gesture Detection Using FMCW Radar and 3D Temporal Convolutional Network with Attention
The results of the proposed approach indicate the feasibility of using radar for fine-grained eating and drinking gesture detection and segmentation in meal sessions.
