Arkadiy Dushatskiy

23 papers A* 1A 3B 3C 1Journal 13Unranked 1
YearRankTypeTitle / Venue / Authors
2024 J jnl
Parameterless Gene-Pool Optimal Mixing Evolutionary Algorithms.
Evol. Comput.
Arkadiy Dushatskiy, Marco Virgolin, Anton Bouter, Dirk Thierens, Peter A. N. Bosman
2024 J jnl
Solving the Tree Containment Problem Using Graph Neural Networks.
CoRR
Arkadiy Dushatskiy, Esther Julien, Leo van Iersel, Leen Stougie
2024 J jnl
Solving the Tree Containment Problem Using Graph Neural Networks.
Trans. Mach. Learn. Res.
Arkadiy Dushatskiy, Esther Julien, Leen Stougie, Leo van Iersel
2023 — —
Expensive Optimization with Model-Based Evolutionary Algorithms Applied to Medical Image Segmentation Using Deep Learning.
Arkadiy Dushatskiy
2023 A* conf
Multi-Objective Population Based Training.
ICML
Arkadiy Dushatskiy, Alexander Chebykin, Tanja Alderliesten, Peter A. N. Bosman
2023 J jnl
Multi-Objective Population Based Training.
CoRR
Arkadiy Dushatskiy, Alexander Chebykin, Tanja Alderliesten, Peter A. N. Bosman
2023 A conf
Shrink-Perturb Improves Architecture Mixing During Population Based Training for Neural Architecture Search.
ECAI
Alexander Chebykin, Arkadiy Dushatskiy, Tanja Alderliesten, Peter A. N. Bosman
2023 J jnl
Shrink-Perturb Improves Architecture Mixing during Population Based Training for Neural Architecture Search.
CoRR
Alexander Chebykin, Arkadiy Dushatskiy, Tanja Alderliesten, Peter A. N. Bosman
2022 B conf
Data variation-aware medical image segmentation.
Image Processing
Arkadiy Dushatskiy, Gerry Lowe, Peter A. N. Bosman, Tanja Alderliesten
2022 J jnl
Data variation-aware medical image segmentation.
CoRR
Arkadiy Dushatskiy, Gerry Lowe, Peter A. N. Bosman, Tanja Alderliesten
2022 J jnl
Heed the Noise in Performance Evaluations in Neural Architecture Search.
CoRR
Arkadiy Dushatskiy, Tanja Alderliesten, Peter A. N. Bosman
2022 — conf
Heed the noise in performance evaluations in neural architecture search.
GECCO Companion
Arkadiy Dushatskiy, Tanja Alderliesten, Peter A. N. Bosman
2022 J jnl
Mixed-Block Neural Architecture Search for Medical Image Segmentation.
CoRR
Martijn M. A. Bosma, Arkadiy Dushatskiy, Monika Grewal, Tanja Alderliesten, Peter A. N. Bosman
2022 B conf
Mixed-block neural architecture search for medical image segmentation.
Image Processing
Martijn M. A. Bosma, Arkadiy Dushatskiy, Monika Grewal, Tanja Alderliesten, Peter A. N. Bosman
2021 J jnl
A Novel Approach to Designing Surrogate-assisted Genetic Algorithms by Combining Efficient Learning of Walsh Coefficients and Dependencies.
ACM Trans. Evol. Learn. Optim.
Arkadiy Dushatskiy, Tanja Alderliesten, Peter A. N. Bosman
2021 J jnl
A Novel Surrogate-assisted Evolutionary Algorithm Applied to Partition-based Ensemble Learning.
CoRR
Arkadiy Dushatskiy, Tanja Alderliesten, Peter A. N. Bosman
2021 A conf
A novel surrogate-assisted evolutionary algorithm applied to partition-based ensemble learning.
GECCO
Arkadiy Dushatskiy, Tanja Alderliesten, Peter A. N. Bosman
2021 C conf
Local Search is a Remarkably Strong Baseline for Neural Architecture Search.
EMO
Tom Den Ottelander, Arkadiy Dushatskiy, Marco Virgolin, Peter A. N. Bosman
2021 J jnl
Parameterless Gene-pool Optimal Mixing Evolutionary Algorithms.
CoRR
Arkadiy Dushatskiy, Marco Virgolin, Anton Bouter, Dirk Thierens, Peter A. N. Bosman
2020 J jnl
Local Search is a Remarkably Strong Baseline for Neural Architecture Search.
CoRR
Tom Den Ottelander, Arkadiy Dushatskiy, Marco Virgolin, Peter A. N. Bosman
2020 B conf
Observer variation-aware medical image segmentation by combining deep learning and surrogate-assisted genetic algorithms.
Image Processing
Arkadiy Dushatskiy, Adriënne M. Mendrik, Peter A. N. Bosman, Tanja Alderliesten
2020 J jnl
Observer variation-aware medical image segmentation by combining deep learning and surrogate-assisted genetic algorithms.
CoRR
Arkadiy Dushatskiy, Adriënne M. Mendrik, Peter A. N. Bosman, Tanja Alderliesten
2019 A conf
Convolutional neural network surrogate-assisted GOMEA.
GECCO
Arkadiy Dushatskiy, Adriënne M. Mendrik, Tanja Alderliesten, Peter A. N. Bosman