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Uncertainty-Aware Deep Ensembles for Reliable and Explainable
  Predictions of Clinical Time Series

Uncertainty-Aware Deep Ensembles for Reliable and Explainable Predictions of Clinical Time Series

16 October 2020
Kristoffer Wickstrøm
Karl Øyvind Mikalsen
Michael C. Kampffmeyer
A. Revhaug
Robert Jenssen
    AI4TS
ArXivPDFHTML

Papers citing "Uncertainty-Aware Deep Ensembles for Reliable and Explainable Predictions of Clinical Time Series"

13 / 13 papers shown
Title
The challenge of uncertainty quantification of large language models in medicine
The challenge of uncertainty quantification of large language models in medicine
Zahra Atf
Seyed Amir Ahmad Safavi-Naini
Peter Lewis
Aref Mahjoubfar
Nariman Naderi
Thomas Savage
Ali Soroush
21
0
0
07 Apr 2025
Easydiagnos: a framework for accurate feature selection for automatic
  diagnosis in smart healthcare
Easydiagnos: a framework for accurate feature selection for automatic diagnosis in smart healthcare
Prasenjit Maji
Amit Kumar Mondal
Hemanta Kumar Mondal
Saraju P. Mohanty
26
1
0
01 Oct 2024
A Reliable Framework for Human-in-the-Loop Anomaly Detection in Time
  Series
A Reliable Framework for Human-in-the-Loop Anomaly Detection in Time Series
Ziquan Deng
Xiwei Xuan
Kwan-Liu Ma
Zhaodan Kong
AI4TS
21
0
0
06 May 2024
Deep Ensembles Meets Quantile Regression: Uncertainty-aware Imputation
  for Time Series
Deep Ensembles Meets Quantile Regression: Uncertainty-aware Imputation for Time Series
Ying Liu
Peng Cui
Wenbo Hu
Richang Hong
DiffM
BDL
AI4TS
20
1
0
03 Dec 2023
Uncertainty Quantification for Local Model Explanations Without Model
  Access
Uncertainty Quantification for Local Model Explanations Without Model Access
Surin Ahn
J. Grana
Yafet Tamene
Kristian Holsheimer
FAtt
21
0
0
13 Jan 2023
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in
  Medicine
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine
A. Chaddad
Qizong Lu
Jiali Li
Y. Katib
R. Kateb
C. Tanougast
Ahmed Bouridane
Ahmed Abdulkadir
OOD
24
38
0
17 Nov 2022
Explainable AI for clinical and remote health applications: a survey on
  tabular and time series data
Explainable AI for clinical and remote health applications: a survey on tabular and time series data
Flavio Di Martino
Franca Delmastro
AI4TS
28
91
0
14 Sep 2022
A clinically motivated self-supervised approach for content-based image
  retrieval of CT liver images
A clinically motivated self-supervised approach for content-based image retrieval of CT liver images
Kristoffer Wickstrøm
Eirik Agnalt Ostmo
Keyur Radiya
Karl Øyvind Mikalsen
Michael C. Kampffmeyer
Robert Jenssen
SSL
23
13
0
11 Jul 2022
CATNet: Cross-event Attention-based Time-aware Network for Medical Event
  Prediction
CATNet: Cross-event Attention-based Time-aware Network for Medical Event Prediction
Sicen Liu
Xiaolong Wang
Yang Xiang
Huiqin Xu
Hui Wang
Buzhou Tang
AI4TS
12
10
0
29 Apr 2022
RELAX: Representation Learning Explainability
RELAX: Representation Learning Explainability
Kristoffer Wickstrøm
Daniel J. Trosten
Sigurd Løkse
Ahcène Boubekki
Karl Øyvind Mikalsen
Michael C. Kampffmeyer
Robert Jenssen
FAtt
6
14
0
19 Dec 2021
Uncertainty Quantification of Surrogate Explanations: an Ordinal
  Consensus Approach
Uncertainty Quantification of Surrogate Explanations: an Ordinal Consensus Approach
Jonas Schulz
Rafael Poyiadzi
Raúl Santos-Rodríguez
26
7
0
17 Nov 2021
InceptionTime: Finding AlexNet for Time Series Classification
InceptionTime: Finding AlexNet for Time Series Classification
Hassan Ismail Fawaz
Benjamin Lucas
Germain Forestier
Charlotte Pelletier
Daniel F. Schmidt
J. Weber
Geoffrey I. Webb
L. Idoumghar
Pierre-Alain Muller
Franccois Petitjean
AI4TS
87
1,072
0
11 Sep 2019
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,660
0
05 Dec 2016
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