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Papers matching “structural identifiability” 263

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How Does Bayesian Causal Discovery Fail? Characterising Structural Consequences in Linear Gaussian Networks under Latent Confounding
2026 arXiv (Cornell University) preprint Computer Science Bayesian Modeling and Causal Inference Open access

Debargha Ghosh, Silja Renooij, Anna Kononova

0

citations
BIAS: A Toolbox for Benchmarking Structural Bias in the Continuous Domain
2021 preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Diederick Vermetten, Bas van Stein, Fabio Caraffini, Leandro Lei Minku, Anna V. Kononova

1

citations
BIAS: A Toolbox for Benchmarking Structural Bias in the Continuous Domain
2021 preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Diederick Vermetten, Bas van Stein, Fabio Caraffini, Leandro Lei Minku, Anna V. Kononova

1

citations
A Deep Dive Into Effects of Structural Bias on CMA-ES Performance Along Affine Trajectories
2024 Lecture notes in computer science conference-paper Computer Science Metaheuristic Optimization Algorithms Research Open access

Bas van Stein, Sarah L. Thomson, Anna V. Kononova

4

citations
A Deep Dive into Effects of Structural Bias on CMA-ES Performance along Affine Trajectories
2024 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Bas van Stein, Sarah L. Thomson, Anna V. Kononova

0

citations
Deep BIAS: Detecting Structural Bias using Explainable AI
2023 conference-paper Computer Science Metaheuristic Optimization Algorithms Research Open access

Bas van Stein, Diederick Vermetten, Fabio Caraffini, Anna V. Kononova

13

citations
Deep-BIAS: Detecting Structural Bias using Explainable AI
2023 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Bas van Stein, Diederick Vermetten, Fabio Caraffini, Anna V. Kononova

1

citations
BIAS: A Toolbox for Benchmarking Structural Bias in the Continuous Domain
2022 IEEE Transactions on Evolutionary Computation article Computer Science Metaheuristic Optimization Algorithms Research Open access

Diederick Vermetten, Bas van Stein, Fabio Caraffini, Leandro Lei Minku, Anna V. Kononova

34

citations
Learning Unknown Intervention Targets in Structural Causal Models from Heterogeneous Data
2023 arXiv (Cornell University) preprint Computer Science Bayesian Modeling and Causal Inference Open access

Yuqin Yang, Saber Salehkaleybar, Negar Kiyavash

0

citations
LLaMEA-SAGE: Guiding Automated Algorithm Design with Structural Feedback from Explainable AI
2026 arXiv (Cornell University) preprint Computer Science Evolutionary Algorithms and Applications Open access

Niki van Stein, Anna V. Kononova, Lars Kotthoff, Thomas Bäck

0

citations
Sign Identifiability of Causal Effects in Stationary Stochastic Dynamical Systems
2026 arXiv (Cornell University) preprint Computer Science Bayesian Modeling and Causal Inference Open access

Gijs van Seeventer, Saber Salehkaleybar

0

citations
Structural Determinants of Mac1 Inhibition: Lessons from Ligand Binding Patterns
2026 Zenodo (CERN European Organization for Nuclear Research) article Computer Science Computational Drug Discovery Methods Open access

Verena Weber, Giulia Rossetti, Bernhard Lüscher, Patricia Korn, Sarah Knapp

0

citations
Structural Determinants of Mac1 Inhibition: Lessons from Ligand Binding Patterns
2026 Zenodo (CERN European Organization for Nuclear Research) article Computer Science Computational Drug Discovery Methods Open access

Verena Weber, Giulia Rossetti, Bernhard Lüscher, Patricia Korn, Sarah Knapp

0

citations
Semi-Structured Distributional Regression -- Extending Structured Additive Models by Arbitrary Deep Neural Networks and Data Modalities
2020 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

David Rügamer, Chris Kolb, Nadja Klein

2

citations
RAwR: Role-Aware Rewiring via Approximate Equitable Partition
2026 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Riccardo Porcedda, Giuseppe Squillace, Bastian Epping, Andrea Vandin, Michael Schaub, Mirco Tribastone, +1 more

0

citations
A multicomponent similarity approach to identify potential substances of very high concern
2025 Computational Toxicology article Computer Science Computational Drug Discovery Methods Open access

Emiel Rorije, Jordi Minnema, Thimo Schotman, Willie J.G.M. Peijnenburg, Pim N.H. Wassenaar

1

citations
Differentiable Learning of Lifted Action Schemas for Classical Planning
2026 arXiv (Cornell University) preprint Computer Science AI-based Problem Solving and Planning Open access

Jonas Reiter, Jakob Elias Gebler, Hector Geffner

0

citations
How does Heterophily Impact the Robustness of Graph Neural Networks?
2022 ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) conference-paper Computer Science Adversarial Robustness in Machine Learning Open access

Jiong Zhu, Junchen Jin, Michael T. Schaub, Danai Koutra

31

citations
Minor-obstructions for apex sub-unicyclic graphs
2020 Discrete Applied Mathematics article Computer Science Advanced Graph Theory Research Open access

Alexandros Leivaditis, Alexandros Singh, Giannos Stamoulis, Dimitrios M. Thilikos, Konstantinos Tsatsanis, Vasiliki Velona

4

citations
On the Relationship between Heterophily and Robustness of Graph Neural Networks.
2021 arXiv (Cornell University) preprint Computer Science Adversarial Robustness in Machine Learning Open access

Jiong Zhu, Junchen Jin, Michael T. Schaub, Danai Koutra

2

citations
Illuminating the Diversity-Fitness Trade-Off in Black-Box Optimization
2025 Evolutionary Computation article Computer Science Metaheuristic Optimization Algorithms Research Open access

Maria Laura Santoni, Elena Raponi, Aneta Neumann, Frank Neumann, Mike Preuß, Carola Doerr

1

citations
Graphs Identified by Logics with Counting
2021 ACM Transactions on Computational Logic article Computer Science Advanced Graph Theory Research Open access

Sandra Kiefer, Pascal Schweitzer, Erkal Selman

5

citations
Evaluating chemical similarity as a measure to identify potential substances of very high concern
2020 Regulatory Toxicology and Pharmacology article Computer Science Computational Drug Discovery Methods Open access

Pim N.H. Wassenaar, Emiel Rorije, Martina G. Vijver, Willie J.G.M. Peijnenburg

19

citations
The Comparative Anatomy of Nanopublications and FAIR Digital Objects
2022 Research Ideas and Outcomes article Computer Science Research Data Management Practices Open access

Erik Schultes, Barbara Magagna, Tobias Kuhn, Marek Suchánek, Luiz Olavo Bonino da Silva Santos, Barend Mons

8

citations
MolBar: A Molecular Identifier for Inorganic and Organic Molecules with Full Support of Stereoisomerism
2024 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Nils van Staalduinen, Christoph Bannwarth

3

citations