default search action
Arkadiy Dushatskiy
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j2]Arkadiy Dushatskiy, Esther Julien, Leen Stougie, Leo van Iersel:
Solving the Tree Containment Problem Using Graph Neural Networks. Trans. Mach. Learn. Res. 2024 (2024) - [i10]Arkadiy Dushatskiy, Esther Julien, Leo van Iersel, Leen Stougie:
Solving the Tree Containment Problem Using Graph Neural Networks. CoRR abs/2404.09812 (2024) - 2023
- [b1]Arkadiy Dushatskiy:
Expensive Optimization with Model-Based Evolutionary Algorithms Applied to Medical Image Segmentation Using Deep Learning. Delft University of Technology, Netherlands, 2023 - [c9]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: 381-388 - [c8]Arkadiy Dushatskiy, Alexander Chebykin, Tanja Alderliesten, Peter A. N. Bosman:
Multi-Objective Population Based Training. ICML 2023: 8969-8989 - [i9]Arkadiy Dushatskiy, Alexander Chebykin, Tanja Alderliesten, Peter A. N. Bosman:
Multi-Objective Population Based Training. CoRR abs/2306.01436 (2023) - [i8]Alexander Chebykin, Arkadiy Dushatskiy, Tanja Alderliesten, Peter A. N. Bosman:
Shrink-Perturb Improves Architecture Mixing during Population Based Training for Neural Architecture Search. CoRR abs/2307.15621 (2023) - 2022
- [c7]Arkadiy Dushatskiy, Tanja Alderliesten, Peter A. N. Bosman:
Heed the noise in performance evaluations in neural architecture search. GECCO Companion 2022: 2104-2112 - [c6]Martijn M. A. Bosma, Arkadiy Dushatskiy, Monika Grewal, Tanja Alderliesten, Peter A. N. Bosman:
Mixed-block neural architecture search for medical image segmentation. Image Processing 2022 - [c5]Arkadiy Dushatskiy, Gerry Lowe, Peter A. N. Bosman, Tanja Alderliesten:
Data variation-aware medical image segmentation. Image Processing 2022 - [i7]Arkadiy Dushatskiy, Tanja Alderliesten, Peter A. N. Bosman:
Heed the Noise in Performance Evaluations in Neural Architecture Search. CoRR abs/2202.02078 (2022) - [i6]Martijn M. A. Bosma, Arkadiy Dushatskiy, Monika Grewal, Tanja Alderliesten, Peter A. N. Bosman:
Mixed-Block Neural Architecture Search for Medical Image Segmentation. CoRR abs/2202.11401 (2022) - [i5]Arkadiy Dushatskiy, Gerry Lowe, Peter A. N. Bosman, Tanja Alderliesten:
Data variation-aware medical image segmentation. CoRR abs/2202.12099 (2022) - 2021
- [j1]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): 5:1-5:23 (2021) - [c4]Tom Den Ottelander, Arkadiy Dushatskiy, Marco Virgolin, Peter A. N. Bosman:
Local Search is a Remarkably Strong Baseline for Neural Architecture Search. EMO 2021: 465-479 - [c3]Arkadiy Dushatskiy, Tanja Alderliesten, Peter A. N. Bosman:
A novel surrogate-assisted evolutionary algorithm applied to partition-based ensemble learning. GECCO 2021: 583-591 - [i4]Arkadiy Dushatskiy, Tanja Alderliesten, Peter A. N. Bosman:
A Novel Surrogate-assisted Evolutionary Algorithm Applied to Partition-based Ensemble Learning. CoRR abs/2104.08048 (2021) - [i3]Arkadiy Dushatskiy, Marco Virgolin, Anton Bouter, Dirk Thierens, Peter A. N. Bosman:
Parameterless Gene-pool Optimal Mixing Evolutionary Algorithms. CoRR abs/2109.05259 (2021) - 2020
- [c2]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. Image Processing 2020: 113131B - [i2]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 abs/2001.08552 (2020) - [i1]Tom Den Ottelander, Arkadiy Dushatskiy, Marco Virgolin, Peter A. N. Bosman:
Local Search is a Remarkably Strong Baseline for Neural Architecture Search. CoRR abs/2004.08996 (2020)
2010 – 2019
- 2019
- [c1]Arkadiy Dushatskiy, Adriënne M. Mendrik, Tanja Alderliesten, Peter A. N. Bosman:
Convolutional neural network surrogate-assisted GOMEA. GECCO 2019: 753-761
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-28 20:32 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint