Arkadiy Dushatskiy

According to our database, Arkadiy Dushatskiy authored at least 13 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Solving the Tree Containment Problem Using Graph Neural Networks.

Arkadiy Dushatskiy, Esther Julien, Leen Stougie, Leo van Iersel

Trans. Mach. Learn. Res., 2024

2023

Expensive Optimization with Model-Based Evolutionary Algorithms Applied to Medical Image Segmentation Using Deep Learning.

Arkadiy Dushatskiy

PhD thesis, 2023

Multi-Objective Population Based Training.

Arkadiy Dushatskiy, Alexander Chebykin, Tanja Alderliesten, Peter A. N. Bosman

Proceedings of the International Conference on Machine Learning, 2023

Shrink-Perturb Improves Architecture Mixing During Population Based Training for Neural Architecture Search.

Alexander Chebykin, Arkadiy Dushatskiy, Tanja Alderliesten, Peter A. N. Bosman

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022

Data variation-aware medical image segmentation.

Arkadiy Dushatskiy, Gerry Lowe, Peter A. N. Bosman, Tanja Alderliesten

Proceedings of the Medical Imaging 2022: Image Processing, 2022

Mixed-block neural architecture search for medical image segmentation.

Martijn M. A. Bosma, Arkadiy Dushatskiy, Monika Grewal, Tanja Alderliesten, Peter A. N. Bosman

Proceedings of the Medical Imaging 2022: Image Processing, 2022

Heed the noise in performance evaluations in neural architecture search.

Arkadiy Dushatskiy, Tanja Alderliesten, Peter A. N. Bosman

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

2021

A Novel Approach to Designing Surrogate-assisted Genetic Algorithms by Combining Efficient Learning of Walsh Coefficients and Dependencies.

Arkadiy Dushatskiy, Tanja Alderliesten, Peter A. N. Bosman

ACM Trans. Evol. Learn. Optim., 2021

Parameterless Gene-pool Optimal Mixing Evolutionary Algorithms.

Arkadiy Dushatskiy, Marco Virgolin, Anton Bouter, Dirk Thierens, Peter A. N. Bosman

CoRR, 2021

A novel surrogate-assisted evolutionary algorithm applied to partition-based ensemble learning.

Arkadiy Dushatskiy, Tanja Alderliesten, Peter A. N. Bosman

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Local Search is a Remarkably Strong Baseline for Neural Architecture Search.

Tom Den Ottelander, Arkadiy Dushatskiy, Marco Virgolin, Peter A. N. Bosman

Proceedings of the Evolutionary Multi-Criterion Optimization, 2021

2020

Observer variation-aware medical image segmentation by combining deep learning and surrogate-assisted genetic algorithms.

Arkadiy Dushatskiy, Adriënne M. Mendrik, Peter A. N. Bosman, Tanja Alderliesten

Proceedings of the Medical Imaging 2020: Image Processing, 2020

2019

Convolutional neural network surrogate-assisted GOMEA.

Arkadiy Dushatskiy, Adriënne M. Mendrik, Tanja Alderliesten, Peter A. N. Bosman

Proceedings of the Genetic and Evolutionary Computation Conference, 2019