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Papers matching “decision uncertainty” 58

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Uncertainty, probability and causality in hepatology
2026 npj gut and liver. article Computer Science Bayesian Modeling and Causal Inference Open access

Benjamin P. M. Laevens, F. P. Pijpers, Carolin V. Schneider

0

citations
An Oracle-Guided Approach to Constrained Policy Synthesis Under Uncertainty
2025 Journal of Artificial Intelligence Research article Computer Science Formal Methods in Verification Open access

Roman Andriushchenko, Milan Češka, Filip Macák, Sebastian Junges, Joost-Pieter Katoen

5

citations
A Bayesian approach to predictive uncertainty in chemotherapy patients at risk of acute care utilization
2023 EBioMedicine article Computer Science Machine Learning in Healthcare Open access

Claudio Fanconi, Anne de Hond, Dylan Joseph Peterson, Angelo Capodici, Tina Hernandez‐Boussard

11

citations
Inner approximations of coherent lower probabilities and their application to decision making problems
2023 Annals of Operations Research article Computer Science Bayesian Modeling and Causal Inference Open access

Enrique Miranda, Ignacio Montes, Andrés Presa

6

citations
Polyoracle - Assessing Multi-criteria Regional Climate Uncertainty through Agent-assisted Visual Analysis
2026 RWTH Publications (RWTH Aachen) book-chapter Computer Science Data Visualization and Analytics Open access

Tim Gerrits

0

citations
Learning Functions and Uncertainty Sets Using Geometrically Constrained Kernel Regression
2022 Proceedings of the IEEE Conference on Decision & Control, including the Symposium on Adaptive Processes conference-paper Computer Science Gaussian Processes and Bayesian Inference

Christian Fiedler, Carsten W. Scherer, Sebastian Trimpe

0

citations
Facing Uncertainty in AI: From Formal Verification To Synthesis
2025 Lecture notes in computer science conference-paper Computer Science Formal Methods in Verification Open access

0

citations
Structure-exploiting uncertainty quantification and control : Bayesian inference and Itô SDE methods from MRI segmentation to autonomous sensing
2025 RWTH Publications (RWTH Aachen) dissertation Computer Science Medical Image Segmentation Techniques Open access

Felix Terhag

0

citations
Discovering uncertainty: Bayesian constitutive artificial neural networks
2024 Computer Methods in Applied Mechanics and Engineering article Computer Science Gaussian Processes and Bayesian Inference Open access

Kevin Linka, Gerhard A. Holzapfel, Ellen Kuhl

37

citations
Discovering uncertainty: Bayesian constitutive artificial neural networks
2024 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Kevin Linka, Gerhard A. Holzapfel, Ellen Kuhl

6

citations
Combining Bayesian and Evidential Uncertainty Quantification for Improved Bioactivity Modeling
2025 Journal of Chemical Information and Modeling article Computer Science Computational Drug Discovery Methods Open access

Kajetan Schweighofer, Natalia Dyubankova, Gerard J. P. van Westen, Herman van Vlijmen

8

citations
Quantifying Model Uncertainty with AutoML and Rashomon Partial Dependence Profiles: Enabling Trustworthy and Human-centered XAI
2026 Information Systems Frontiers article Computer Science Explainable Artificial Intelligence (XAI) Open access

Mustafa Çavuş, Jan N. van Rijn, Przemysław Biecek

0

citations
Model-based Reinforcement Learning: A Survey
2020 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Thomas M. Moerland, Joost Broekens, Aske Plaat, Catholijn M. Jonker

82

citations
Artifact for "Probabilistic Model Checking Taken by Storm"
2026 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science Formal Methods in Verification Open access

Matthias Volk, Linus Heck, Sebastian Junges, Joost-Pieter Katoen, Tim Quatmann

0

citations
Artifact for "Probabilistic Model Checking Taken by Storm"
2026 Radboud Repository (Radboud University) dataset Computer Science Formal Methods in Verification Open access

Matthias Volk, Linus Heck, Sebastian Junges, Joost-Pieter Katoen, Tim Quatmann

0

citations
Probabilistic Model Checking Taken by Storm
2026 Lecture notes in computer science conference-paper Computer Science Formal Methods in Verification Open access

Matthias Volk, Linus Heck, Sebastian Junges, Joost-Pieter Katoen, Tim Quatmann

0

citations
Probabilistic Model Checking Taken by Storm
2026 arXiv (Cornell University) preprint Computer Science Formal Methods in Verification Open access

Matthias Volk, Linus Heck, Sebastian Junges, Joost-Pieter Katoen, Tim Quatmann

0

citations
Probabilistic Model Checking Taken by Storm
2026 arXiv (Cornell University) preprint Computer Science Formal Methods in Verification Open access

Matthias Volk, Linus Heck, Sebastian Junges, Joost-Pieter Katoen, Tim Quatmann

0

citations
Optimistic NAUTILUS navigator for multiobjective optimization with costly function evaluations
2022 Journal of Global Optimization article Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Bhupinder Singh Saini, Michael Emmerich, Atanu Mazumdar, Bekir Afşar, Babooshka Shavazipour, Kaisa Miettinen

5

citations
Computational complexity of graph orientation, bilevel and robust optimization problems
2026 RWTH Publications (RWTH Aachen) dissertation Computer Science Advanced Graph Theory Research Open access

Komal Muluk

0

citations
Search and Explore: Symbiotic Policy Synthesis in POMDPs
2023 Lecture notes in computer science conference-paper Computer Science Formal Methods in Verification Open access

Roman Andriushchenko, Alexander Bork, Milan Češka, Sebastian Junges, Joost-Pieter Katoen, Filip Macák

7

citations
Search and explore: symbiotic policy synthesis in POMDPs
2026 Formal Methods in System Design article Computer Science Formal Methods in Verification Open access

Roman Andriushchenko, Alexander Bork, Milan Češka, Sebastian Junges, Joost-Pieter Katoen, Filip Macák

1

citations
Search and Explore: Symbiotic Policy Synthesis in POMDPs
2023 RWTH Publications (RWTH Aachen) conference-paper Computer Science Formal Methods in Verification Open access

Roman Andriushchenko, Alexander Bork, Milan Češka, Sebastian Junges, Joost-Pieter Katoen, Filip Macák

0

citations
An Architecture for Experiments in Networked Control Systems
2022 preprint Computer Science Distributed Control Multi-Agent Systems Open access

Maximilian Kloock, Patrick Scheffe, Ole Greß, Bassam Alrifaee

7

citations
Deep Model-Based Reinforcement Learning for High-Dimensional Problems, a Survey
2020 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Aske Plaat, Walter A. Kosters, Mike Preuß

6

citations