Arkadiy Dushatskiy

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 21

Top Topics

Medical Image Segmentation

Neural Architecture

Hierarchical Data Structure

Genetic Algorithm

Top Venues

Medical Imaging: Image Processing

ACM Trans. Evol. Learn. Optim.

Publications

Arkadiy Dushatskiy, Esther Julien, Leen Stougie, Leo van Iersel
Solving the Tree Containment Problem Using Graph Neural Networks. Trans. Mach. Learn. Res. 2024 (2024)
Arkadiy Dushatskiy, Esther Julien, Leo van Iersel, Leen Stougie
Solving the Tree Containment Problem Using Graph Neural Networks. CoRR (2024)
Alexander Chebykin, Arkadiy Dushatskiy, Tanja Alderliesten, Peter A. N. Bosman
Shrink-Perturb Improves Architecture Mixing During Population Based Training for Neural Architecture Search. ECAI (2023)
Alexander Chebykin, Arkadiy Dushatskiy, Tanja Alderliesten, Peter A. N. Bosman
Shrink-Perturb Improves Architecture Mixing during Population Based Training for Neural Architecture Search. CoRR (2023)
Arkadiy Dushatskiy, Alexander Chebykin, Tanja Alderliesten, Peter A. N. Bosman
Multi-Objective Population Based Training. ICML (2023)
Arkadiy Dushatskiy, Alexander Chebykin, Tanja Alderliesten, Peter A. N. Bosman
Multi-Objective Population Based Training. CoRR (2023)
Arkadiy Dushatskiy, Gerry Lowe, Peter A. N. Bosman, Tanja Alderliesten
Data variation-aware medical image segmentation. Medical Imaging: Image Processing (2022)
Arkadiy Dushatskiy, Gerry Lowe, Peter A. N. Bosman, Tanja Alderliesten
Data variation-aware medical image segmentation. CoRR (2022)
Martijn M. A. Bosma, Arkadiy Dushatskiy, Monika Grewal, Tanja Alderliesten, Peter A. N. Bosman
Mixed-block neural architecture search for medical image segmentation. Medical Imaging: Image Processing (2022)
Martijn M. A. Bosma, Arkadiy Dushatskiy, Monika Grewal, Tanja Alderliesten, Peter A. N. Bosman
Mixed-Block Neural Architecture Search for Medical Image Segmentation. CoRR (2022)
Arkadiy Dushatskiy, Tanja Alderliesten, Peter A. N. Bosman
Heed the noise in performance evaluations in neural architecture search. GECCO Companion (2022)
Arkadiy Dushatskiy, Tanja Alderliesten, Peter A. N. Bosman
Heed the Noise in Performance Evaluations in Neural Architecture Search. CoRR (2022)
Arkadiy Dushatskiy, Tanja Alderliesten, Peter A. N. Bosman
A Novel Surrogate-assisted Evolutionary Algorithm Applied to Partition-based Ensemble Learning. CoRR (2021)
Tom Den Ottelander, Arkadiy Dushatskiy, Marco Virgolin, Peter A. N. Bosman
Local Search is a Remarkably Strong Baseline for Neural Architecture Search. EMO (2021)
Arkadiy Dushatskiy, Marco Virgolin, Anton Bouter, Dirk Thierens, Peter A. N. Bosman
Parameterless Gene-pool Optimal Mixing Evolutionary Algorithms. CoRR (2021)
Arkadiy Dushatskiy, Tanja Alderliesten, Peter A. N. Bosman
A Novel Approach to Designing Surrogate-assisted Genetic Algorithms by Combining Efficient Learning of Walsh Coefficients and Dependencies. ACM Trans. Evol. Learn. Optim. 1 (2) (2021)
Arkadiy Dushatskiy, Tanja Alderliesten, Peter A. N. Bosman
A novel surrogate-assisted evolutionary algorithm applied to partition-based ensemble learning. GECCO (2021)
Arkadiy Dushatskiy, Adriënne M. Mendrik, Peter A. N. Bosman, Tanja Alderliesten
Observer variation-aware medical image segmentation by combining deep learning and surrogate-assisted genetic algorithms. CoRR (2020)
Arkadiy Dushatskiy, Adriënne M. Mendrik, Peter A. N. Bosman, Tanja Alderliesten
Observer variation-aware medical image segmentation by combining deep learning and surrogate-assisted genetic algorithms. Medical Imaging: Image Processing (2020)
Tom Den Ottelander, Arkadiy Dushatskiy, Marco Virgolin, Peter A. N. Bosman
Local Search is a Remarkably Strong Baseline for Neural Architecture Search. CoRR (2020)
Arkadiy Dushatskiy, Adriënne M. Mendrik, Tanja Alderliesten, Peter A. N. Bosman
Convolutional neural network surrogate-assisted GOMEA. GECCO (2019)