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2001.00893
Cited By
Aleatoric and Epistemic Uncertainty with Random Forests
3 January 2020
M. Shaker
Eyke Hüllermeier
BDL
UD
PER
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Papers citing
"Aleatoric and Epistemic Uncertainty with Random Forests"
15 / 15 papers shown
Title
Exploring the Impact of Explainable AI and Cognitive Capabilities on Users' Decisions
Federico Maria Cau
Lucio Davide Spano
31
0
0
02 May 2025
Reducing Aleatoric and Epistemic Uncertainty through Multi-modal Data Acquisition
Arthur Hoarau
Benjamin Quost
Sébastien Destercke
Willem Waegeman
UQCV
UD
PER
82
0
0
30 Jan 2025
Uncertainty quantification for probabilistic machine learning in earth observation using conformal prediction
Geethen Singh
Glenn Moncrieff
Zander Venter
Kerry Cawse-Nicholson
Jasper Slingsby
Tamara B. Robinson
36
14
0
12 Jan 2024
Online Learning Models for Vehicle Usage Prediction During COVID-19
Tobias Lindroth
Axel Svensson
Niklas Åkerblom
Mitra Pourabdollah
M. Chehreghani
17
0
0
28 Oct 2022
Uncertainty in Extreme Multi-label Classification
Jyun-Yu Jiang
Wei-Cheng Chang
Jiong Zhong
Cho-Jui Hsieh
Hsiang-Fu Yu
UQCV
21
0
0
18 Oct 2022
Combining Predictions under Uncertainty: The Case of Random Decision Trees
Florian Busch
Moritz Kulessa
E. Mencía
Hendrik Blockeel
UD
UQCV
25
1
0
15 Aug 2022
Uncertainty-Aware Mixed-Variable Machine Learning for Materials Design
Hengrui Zhang
WeiWayneChen
Akshay Iyer
D. Apley
Wei Chen
AI4CE
41
11
0
11 Jul 2022
Pitfalls of Epistemic Uncertainty Quantification through Loss Minimisation
Viktor Bengs
Eyke Hüllermeier
Willem Waegeman
EDL
UQCV
UD
31
36
0
11 Mar 2022
GOSH: Task Scheduling Using Deep Surrogate Models in Fog Computing Environments
Shreshth Tuli
G. Casale
N. Jennings
32
21
0
16 Dec 2021
Detecting and Mitigating Test-time Failure Risks via Model-agnostic Uncertainty Learning
Preethi Lahoti
Krishna P. Gummadi
Gerhard Weikum
34
3
0
09 Sep 2021
Active learning for imbalanced data under cold start
R. Barata
Miguel Leite
R. Pacheco
Marco O. P. Sampaio
João Tiago Ascensão
P. Bizarro
AI4CE
27
8
0
16 Jul 2021
DEUP: Direct Epistemic Uncertainty Prediction
Salem Lahlou
Moksh Jain
Hadi Nekoei
V. Butoi
Paul Bertin
Jarrid Rector-Brooks
Maksym Korablyov
Yoshua Bengio
PER
UQLM
UQCV
UD
212
81
0
16 Feb 2021
Aleatoric and Epistemic Uncertainty in Machine Learning: An Introduction to Concepts and Methods
Eyke Hüllermeier
Willem Waegeman
PER
UD
87
1,359
0
21 Oct 2019
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
278
5,695
0
05 Dec 2016
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference
Y. Gal
Zoubin Ghahramani
UQCV
BDL
213
745
0
06 Jun 2015
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