Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery

International Conference on Artificial Intelligence and Statistics (AISTATS), 2020

3 March 2020

Papers citing "Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery"

6 / 6 papers shown

Conformal Prediction in Multi-User Settings: An Evaluation

Enrique Garcia-Ceja

Luciano Garcia-Banuelos

Nicolas Jourdan

180

08 Dec 2023

DynImp: Dynamic Imputation for Wearable Sensing Data Through Sensory and Temporal RelatednessIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022

193

26 Sep 2022

Density-Aware Personalized Training for Risk Prediction in Imbalanced Medical DataMachine Learning in Health Care (MLHC), 2022

295

23 Jul 2022

An Uncertainty-aware Loss Function for Training Neural Networks with Calibrated Predictions

341

07 Oct 2021

Description of Structural Biases and Associated Data in Sensor-Rich Environments

Massinissa Hamidi

A. Osmani

125

11 Apr 2021

BayReL: Bayesian Relational Learning for Multi-omics Data Integration

228

12 Oct 2020