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Papers matching “test optimization” 23

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Benchmark Instances for Robust Combinatorial Optimization with Budgeted Uncertainty
2022 Zenodo (CERN European Organization for Nuclear Research) dataset Decision Sciences Risk and Portfolio Optimization Open access

Timo Gersing, Christina Büsing, Arie M. C. A. Koster

0

citations
Lipschitz Safe Bayesian Optimization for Automotive Control
2024 Proceedings of the IEEE Conference on Decision & Control, including the Symposium on Adaptive Processes conference-paper Decision Sciences Advanced Bandit Algorithms Research

Johanna Menn, Pietro Pelizzari, Michael Fleps-Dezasse, Sebastian Trimpe

1

citations
Lipschitz Safe Bayesian Optimization for Automotive Control
2025 arXiv (Cornell University) preprint Decision Sciences Advanced Bandit Algorithms Research Open access

Johanna Menn, Pietro Pelizzari, Michael Fleps-Dezasse, Sebastian Trimpe

0

citations
High Dimensional Bayesian Optimization with Kernel Principal Component Analysis
2022 arXiv (Cornell University) preprint Decision Sciences Advanced Bandit Algorithms Research Open access

Kirill Antonov, Elena Raponi, Hao Wang, Carola Doerr

2

citations
Stock price prediction with optimized deep LSTM network with artificial rabbits optimization algorithm
2023 Expert Systems with Applications article Decision Sciences Stock Market Forecasting Methods Open access

Burak Gülmez

321

citations
A new acquisition function for robust Bayesian optimization of unconstrained problems
2021 Genetic and Evolutionary Computation Conference Companion (GECCO Companion) conference-paper Decision Sciences Advanced Bandit Algorithms Research Open access

Sibghat Ullah, Hao Wang, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck

1

citations
Feasibility-Driven Trust Region Bayesian Optimization
2025 arXiv (Cornell University) preprint Decision Sciences Advanced Bandit Algorithms Research Open access

Paolo Ascia, Elena Raponi, Thomas Bäck, Fabian M. E. Duddeck

0

citations
A branch and bound algorithm for robust binary optimization with budget uncertainty
2023 Mathematical Programming Computation article Decision Sciences Risk and Portfolio Optimization Open access

Christina Büsing, Timo Gersing, Arie M. C. A. Koster

9

citations
Benchmark Instances for Robust Combinatorial Optimization with Budgeted Uncertainty
2022 Zenodo (CERN European Organization for Nuclear Research) dataset Decision Sciences Risk and Portfolio Optimization Open access

Timo Gersing, Christina Büsing, Arie M. C. A. Koster

0

citations
Oracle-based algorithms for binary two-stage robust optimization
2020 Computational Optimization and Applications article Decision Sciences Risk and Portfolio Optimization Open access

Nicolas Kämmerling, Jannis Kurtz

19

citations
Benchmark Instances for Robust Combinatorial Optimization with Budgeted Uncertainty
2022 Zenodo (CERN European Organization for Nuclear Research) dataset Decision Sciences Risk and Portfolio Optimization Open access

Timo Gersing, Christina Büsing, Arie M. C. A. Koster

3

citations
Benchmark Instances for Robust Combinatorial Optimization with Budgeted Uncertainty
2022 Zenodo (CERN European Organization for Nuclear Research) dataset Decision Sciences Risk and Portfolio Optimization Open access

Timo Gersing, Christina Büsing, Arie M. C. A. Koster

0

citations
Benchmark Instances for Robust Combinatorial Optimization with Budgeted Uncertainty
2022 Zenodo (CERN European Organization for Nuclear Research) dataset Decision Sciences Risk and Portfolio Optimization Open access

Timo Gersing, Christina Büsing, Arie M. C. A. Koster

0

citations
Benchmark Instances for Robust Combinatorial Optimization with Budgeted Uncertainty
2022 Zenodo (CERN European Organization for Nuclear Research) dataset Decision Sciences Risk and Portfolio Optimization Open access

Timo Gersing, Christina Büsing, Arie M. C. A. Koster

0

citations
Benchmark Instances for Robust Combinatorial Optimization with Budgeted Uncertainty
2022 Zenodo (CERN European Organization for Nuclear Research) dataset Decision Sciences Risk and Portfolio Optimization Open access

Timo Gersing, Christina Büsing, Arie M. C. A. Koster

0

citations
To Correct or Not To Correct? Reliability of Psychological Tests and Incremental Predictive Validity from a Statistical Learning Perspective. (This paper was recently published in Behaviometrika: "An out-of-sample perspective on the assessment of incremental predictive validity")
2022 preprint Decision Sciences Psychometric Methodologies and Testing Open access

Bunga Citra Pratiwi, Elise Dusseldorp, Mark de Rooij

0

citations
A direct and analytical method for inverse problems under uncertainty in energy system design: combining inverse simulation and Polynomial Chaos theory
2024 Energy Informatics article Decision Sciences Probabilistic and Robust Engineering Design Open access

Sebastian Schwarz, Daniele Carta, Antonello Monti, Andrea Benigni

3

citations
Linking Discrete-Event Simulation with Artificial Intelligence: A Literature-Based Analysis of Existing Approaches in the Context of Manufacturing Planning and Control
2023 conference-paper Decision Sciences Simulation Techniques and Applications

Verena Nitsch, Susanne Mütze‐Niewöhner

7

citations
Finding Needles in Haystack: Formal Generative Models for Efficient Massive Parallel Simulations
2023 RWTH Publications (RWTH Aachen) conference-paper Decision Sciences Simulation Techniques and Applications Open access

Osama Maqbool, Jürgen Roßmann

0

citations
Finding Needles in Haystack: Formal Generative Models for Efficient Massive Parallel Simulations
2023 IEEE Vehicular Technology Conference conference-paper Decision Sciences Simulation Techniques and Applications

Osama Maqbool, Jürgen Roßmann

0

citations
Data-Driven Cutoff Selection for the Patient Health Questionnaire-9 Depression Screening Tool
2024 JAMA Network Open article Decision Sciences Meta-analysis and systematic reviews Open access

Brooke Levis, Parash Mani Bhandari, Dipika Neupane, Suiqiong Fan, Ying B Sun, Chen He, +94 more

27

citations
Statistical Process Control Benchmark Dataset
2023 Zenodo (CERN European Organization for Nuclear Research) dataset Decision Sciences Advanced Statistical Process Monitoring Open access

Tobias Schulze, Huebser Louis

0

citations
QUANTIFYING UNCERTAIN SYSTEM OUTPUTS VIA THE MULTI-LEVEL MONTE CARLO METHOD-DISTRIBUTION AND ROBUSTNESS MEASURES
2023 International Journal for Uncertainty Quantification article Decision Sciences Probabilistic and Robust Engineering Design Open access

Q. Ayoul-Guilmard, Sebastian Krumscheid, Fabio Nobile

9

citations

23 results