Papers matching “black-box machine learning” 40
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Interpreting Black-box Machine Learning Models for High Dimensional Datasets2023 IEEE International Conference on Data Science and Advanced Analytics (DSAA) conference-paper Computer Science Explainable Artificial Intelligence (XAI) Open access
Md Shajalal, Alexander Graß, Till Döhmen, Sisay Adugna Chala, Alexander Boden, Christian Beecks, +1 more
19citations -
Impact of Training Instance Selection on Automated Algorithm Selection Models for Numerical Black-box Optimization2024 Genetic and Evolutionary Computation Conference (GECCO) conference-paper Computer Science Metaheuristic Optimization Algorithms Research Open access
Konstantin Dietrich, Diederick Vermetten, Carola Doerr, Pascal Kerschke
9citations -
Optimizing With Low Budgets: A Comparison on the Black-Box Optimization Benchmarking Suite and OpenAI Gym2023 IEEE Transactions on Evolutionary Computation article Computer Science Metaheuristic Optimization Algorithms Research Open access
Elena Raponi, Nathanaël Carraz Rakotonirina, Jérémy Rapin, Carola Doerr, Olivier Teytaud
10citations -
GPT-4o and the quest for machine learning interpretability in ICU risk of death prediction2025 BMC Medical Informatics and Decision Making article Computer Science Machine Learning in Healthcare Open access
Moein E. Samadi, Kateryna Nikulina, Sebastian Johannes Fritsch, Andreas Schuppert
6citations -
A survey of features used for representing black-box single-objective continuous optimization2026 Swarm and Evolutionary Computation article Computer Science Metaheuristic Optimization Algorithms Research Open access
Gjorgjina Cenikj, Ana Nikolikj, Gašper Petelin, Bas van Stein, Carola Doerr, Tome Eftimov
4citations -
Comparison of Low-budget Black-box Optimization Algorithms on BBOB2023 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science Metaheuristic Optimization Algorithms Research Open access
Elena Raponi, Carraz Nathanael Rakotonirina, Rapin Jérémy, Carola Doerr, Olivier Teytaud
1citations -
Comparison of Low-budget Black-box Optimization Algorithms on BBOB2023 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science Metaheuristic Optimization Algorithms Research Open access
Elena Raponi, Carraz Nathanael Rakotonirina, Rapin Jérémy, Carola Doerr, Olivier Teytaud
0citations -
An interpretable machine learning framework with data-informed imaging biomarkers for diagnosis and prediction of Alzheimer’s disease2026 Computerized Medical Imaging and Graphics article Medicine Dementia and Cognitive Impairment Research Open access
Wenjie Kang, Bo Li, Lize Corrine Jiskoot, Peter Paul De Deyn, Geert Jan Biessels, Huiberdina L. Koek, +6 more
7citations -
Hybrid quantum ResNet for car classification and its hyperparameter optimization2023 Quantum Machine Intelligence article Computer Science Quantum Computing Algorithms and Architecture Open access
Asel Sagingalieva, Mohammad Kordzanganeh, Andrii Kurkin, Artem Melnikov, Daniil Kuhmistrov, Michael Romanovich Perelshtein, +2 more
42citations -
Using Machine Learning Methods to Assess Module Performance Contribution in Modular Optimization Frameworks2024 Evolutionary Computation article Computer Science Metaheuristic Optimization Algorithms Research Open access
Ana Kostovska, Diederick Vermetten, Peter Korošec, Sašo Džeroski, Carola Doerr, Tome Eftimov
6citations -
Meta-learning for symbolic hyperparameter defaults2021 Genetic and Evolutionary Computation Conference Companion (GECCO Companion) conference-paper Computer Science Machine Learning and Data Classification Open access cited by 2 patents
Pieter Gijsbers, Florian Pfisterer, Jan N. van Rijn, Bernd Bischl, Joaquin Vanschoren
6citations -
Adversarial attacks and adversarial robustness in computational pathology2022 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Adversarial Robustness in Machine Learning Open access
Narmin Ghaffari Laleh, Daniel Truhn, Gregory Patrick Veldhuizen, Tianyu Han, Marko van Treeck, Roman David Buelow, +5 more
14citations -
Finding Patterns in Ambiguity: Interpretable Stress Testing in the Decision Boundary2024 Zenodo (CERN European Organization for Nuclear Research) conference-paper Computer Science Explainable Artificial Intelligence (XAI) Open access
I. L. V. GOMES, Luís Filipe Teixeira, Jan N. van Rijn, Carlos Soares, André Restivo, Moisés Santos
0citations -
Finding Patterns in Ambiguity: Interpretable Stress Testing in the Decision Boundary2024 Zenodo (CERN European Organization for Nuclear Research) conference-paper Computer Science Explainable Artificial Intelligence (XAI) Open access
I. L. V. GOMES, Luís Filipe Teixeira, Jan N. van Rijn, Carlos Soares, André Restivo, Moisés Santos
0citations