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2001.00893
Cited By
Aleatoric and Epistemic Uncertainty with Random Forests
International Symposium on Intelligent Data Analysis (IDA), 2020
3 January 2020
M. Shaker
Eyke Hüllermeier
BDL
UD
PER
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Papers citing
"Aleatoric and Epistemic Uncertainty with Random Forests"
36 / 36 papers shown
Deterministic Legal Agents: A Canonical Primitive API for Auditable Reasoning over Temporal Knowledge Graphs
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189
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DoublyAware: Dual Planning and Policy Awareness for Temporal Difference Learning in Humanoid Locomotion
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An T. Le
Jan Peters
Minh Nhat Vu
271
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0
12 Jun 2025
Integral Imprecise Probability Metrics
Siu Lun Chau
Michele Caprio
Krikamol Muandet
592
12
0
22 May 2025
Exploring the Impact of Explainable AI and Cognitive Capabilities on Users' Decisions
Federico Maria Cau
Lucio Davide Spano
309
2
0
02 May 2025
Robustness quantification: a new method for assessing the reliability of the predictions of a classifier
International Symposium on Imprecise Probabilities and Their Applications (ISIPTA), 2025
Adrián Detavernier
Jasper De Bock
UQCV
OOD
376
0
0
28 Mar 2025
Conceptualizing Uncertainty: A Concept-based Approach to Explaining Uncertainty
Isaac Roberts
Alexander Schulz
Sarah Schroeder
Fabian Hinder
Barbara Hammer
UD
483
0
0
05 Mar 2025
Reducing Aleatoric and Epistemic Uncertainty through Multi-modal Data Acquisition
Arthur Hoarau
Benjamin Quost
Sébastien Destercke
Willem Waegeman
PER
UQCV
UD
470
3
0
30 Jan 2025
Ensured: Explanations for Decreasing the Epistemic Uncertainty in Predictions
Helena Lofstrom
Tuwe Löfström
Johan Hallberg Szabadvary
265
1
0
07 Oct 2024
Explainability through uncertainty: Trustworthy decision-making with neural networks
European Journal of Operational Research (EJOR), 2023
Arthur Thuy
Dries F. Benoit
334
41
0
15 Mar 2024
Evaluation of Predictive Reliability to Foster Trust in Artificial Intelligence. A case study in Multiple Sclerosis
Lorenzo Peracchio
G. Nicora
Enea Parimbelli
T. M. Buonocore
Roberto Bergamaschi
Eleonora Tavazzi
A. Dagliati
Riccardo Bellazzi
300
3
0
27 Feb 2024
Conformalized Credal Set Predictors
Alireza Javanmardi
David Stutz
Eyke Hüllermeier
310
23
0
16 Feb 2024
Uncertainty quantification for probabilistic machine learning in earth observation using conformal prediction
Scientific Reports (Sci Rep), 2024
Geethen Singh
Glenn Moncrieff
Zander Venter
Kerry Cawse-Nicholson
Jasper Slingsby
Tamara B. Robinson
348
31
0
12 Jan 2024
Model Uncertainty based Active Learning on Tabular Data using Boosted Trees
International Conference on AI-ML-Systems (ICA), 2023
Sharath M Shankaranarayana
359
2
0
30 Oct 2023
Model-agnostic variable importance for predictive uncertainty: an entropy-based approach
Danny Wood
Theodore Papamarkou
Matt Benatan
Richard Allmendinger
FAtt
UD
327
28
0
19 Oct 2023
Evidential Deep Learning: Enhancing Predictive Uncertainty Estimation for Earth System Science Applications
Artificial Intelligence for the Earth Systems (AI4ES), 2023
John S. Schreck
D. Gagne
Charlie Becker
William E. Chapman
K. Elmore
...
Vanessa M. Pryzbylo
Jacob T. Radford
B. Saavedra
Justin Willson
Christopher D. Wirz
BDL
UD
OOD
UQCV
EDL
432
26
0
22 Sep 2023
Enhancing Trustworthiness in ML-Based Network Intrusion Detection with Uncertainty Quantification
Journal of Reliable Intelligent Environments (JRIE), 2023
Jacopo Talpini
Fabio Sartori
Marco Savi
364
17
0
05 Sep 2023
Predicting small molecules solubilities on endpoint devices using deep ensemble neural networks
Digital Discovery (DD), 2023
Mayk Caldas Ramos
Andrew D. White
289
2
0
11 Jul 2023
Is the Volume of a Credal Set a Good Measure for Epistemic Uncertainty?
Conference on Uncertainty in Artificial Intelligence (UAI), 2023
Yusuf Sale
Michele Caprio
Eyke Hüllermeier
UD
284
40
0
16 Jun 2023
Explaining Predictive Uncertainty with Information Theoretic Shapley Values
Neural Information Processing Systems (NeurIPS), 2023
David S. Watson
Joshua O'Hara
Niek Tax
Richard Mudd
Ido Guy
TDI
FAtt
357
43
0
09 Jun 2023
U-PASS: an Uncertainty-guided deep learning Pipeline for Automated Sleep Staging
E. Heremans
Nabeel Seedat
B. Buyse
D. Testelmans
M. Schaar
Marina De Vos
219
9
0
07 Jun 2023
A Meta-heuristic Approach to Estimate and Explain Classifier Uncertainty
A. Houston
Georgina Cosma
229
2
0
20 Apr 2023
Online Learning Models for Vehicle Usage Prediction During COVID-19
Tobias Lindroth
Axel Svensson
Niklas Åkerblom
Mitra Pourabdollah
M. Chehreghani
123
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
284
0
0
18 Oct 2022
Combining Predictions under Uncertainty: The Case of Random Decision Trees
IFIP Working Conference on Database Semantics (IWDS), 2022
Florian Busch
Moritz Kulessa
E. Mencía
Hendrik Blockeel
UD
UQCV
310
1
0
15 Aug 2022
Towards Clear Expectations for Uncertainty Estimation
Victor Bouvier
Simona Maggio
A. Abraham
L. Dreyfus-Schmidt
UQCV
274
2
0
27 Jul 2022
Uncertainty-Aware Mixed-Variable Machine Learning for Materials Design
Scientific Reports (Sci Rep), 2022
Hengrui Zhang
WeiWayneChen
Akshay Iyer
D. Apley
Wei Chen
AI4CE
284
22
0
11 Jul 2022
On the Calibration of Probabilistic Classifier Sets
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Thomas Mortier
Viktor Bengs
Eyke Hüllermeier
Stijn Luca
Willem Waegeman
UQCV
282
8
0
20 May 2022
Pitfalls of Epistemic Uncertainty Quantification through Loss Minimisation
Neural Information Processing Systems (NeurIPS), 2022
Viktor Bengs
Eyke Hüllermeier
Willem Waegeman
EDL
UQCV
UD
362
58
0
11 Mar 2022
GOSH: Task Scheduling Using Deep Surrogate Models in Fog Computing Environments
Shreshth Tuli
G. Casale
N. Jennings
188
26
0
16 Dec 2021
Dense Uncertainty Estimation
Jing Zhang
Yuchao Dai
Mochu Xiang
Deng-Ping Fan
Peyman Moghadam
Mingyi He
Christian J. Walder
Kaihao Zhang
Mehrtash Harandi
Nick Barnes
UQCV
BDL
365
12
0
13 Oct 2021
Detecting and Mitigating Test-time Failure Risks via Model-agnostic Uncertainty Learning
Industrial Conference on Data Mining (IDM), 2021
Preethi Lahoti
Krishna P. Gummadi
Gerhard Weikum
228
4
0
09 Sep 2021
Active learning for imbalanced data under cold start
International Conference on AI in Finance (ICAF), 2021
R. Barata
Miguel Leite
R. Pacheco
Marco O. P. Sampaio
João Tiago Ascensão
P. Bizarro
AI4CE
161
10
0
16 Jul 2021
Uncertainty-Aware Boosted Ensembling in Multi-Modal Settings
IEEE International Joint Conference on Neural Network (IJCNN), 2021
U. Sarawgi
Rishab Khincha
W. Zulfikar
Satrajit S. Ghosh
Pattie Maes
UQCV
258
7
0
21 Apr 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
751
116
0
16 Feb 2021
Towards Robust Classification with Deep Generative Forests
Alvaro H. C. Correia
Robert Peharz
Cassio de Campos
TPM
274
5
0
11 Jul 2020
Aleatoric and Epistemic Uncertainty in Machine Learning: An Introduction to Concepts and Methods
Machine-mediated learning (ML), 2019
Eyke Hüllermeier
Willem Waegeman
PER
UD
951
1,913
0
21 Oct 2019
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