Arkadiy Dushatskiy

According to our database, Arkadiy Dushatskiy authored at least 12 papers between 2019 and 2023.

Collaborative distances:

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

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