| Local search is a remarkably strong baseline for neural architecture search T Den Ottelander, A Dushatskiy, M Virgolin, PAN Bosman 🏆 International Conference on Evolutionary Multi-Criterion Optimization, 465-479, 2021 | 46 | 2021 |
| Convolutional neural network surrogate-assisted GOMEA A Dushatskiy, AM Mendrik, T Alderliesten, PAN Bosman Proceedings of the genetic and evolutionary computation conference, 753-761, 2019 | 20 | 2019 |
| A novel surrogate-assisted evolutionary algorithm applied to partition-based ensemble learning A Dushatskiy, T Alderliesten, PAN Bosman 🏆 Proceedings of the Genetic and Evolutionary Computation Conference, 583-591, 2021 | 9 | 2021 |
| Parameterless gene-pool optimal mixing evolutionary algorithms A Dushatskiy, M Virgolin, A Bouter, D Thierens, PAN Bosman Evolutionary Computation, 1-28, 2023 | 8 | 2023 |
| Mixed-block neural architecture search for medical image segmentation MMA Bosma, A Dushatskiy, M Grewal, T Alderliesten, P Bosman Medical Imaging 2022: Image Processing 12032, 193-199, 2022 | 8 | 2022 |
| A novel approach to designing surrogate-assisted genetic algorithms by combining efficient learning of Walsh coefficients and dependencies A Dushatskiy, T Alderliesten, PAN Bosman ACM Transactions on Evolutionary Learning and Optimization 1 (2), 1-23, 2021 | 8 | 2021 |
| Observer variation-aware medical image segmentation by combining deep learning and surrogate-assisted genetic algorithms A Dushatskiy, AM Mendrik, PAN Bosman, T Alderliesten Medical Imaging 2020: Image Processing 11313, 296-306, 2020 | 4 | 2020 |
| Multi-objective population based training A Dushatskiy, A Chebykin, T Alderliesten, P Bosman International Conference on Machine Learning, 8969-8989, 2023 | 2 | 2023 |
| Heed the noise in performance evaluations in neural architecture search A Dushatskiy, T Alderliesten, PAN Bosman Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2022 | 2 | 2022 |
| Solving the Tree Containment Problem Using Graph Neural Networks A Dushatskiy, E Julien, L van Iersel, L Stougie arXiv preprint arXiv:2404.09812, 2024 | | 2024 |
| Shrink-Perturb Improves Architecture Mixing During Population Based Training for Neural Architecture Search A Chebykin, A Dushatskiy, T Alderliesten, PAN Bosman arXiv preprint arXiv:2307.15621, 2023 | | 2023 |
| Deep learning-based segmentation considering observer variation - evaluation in prostate MRI for BT A Dushatskiy, PAN Bosman, KA Hinnen, J Wiersma, H Westerveld, ... Radiotherapy and Oncology 182, 406-407, 2023 | | 2023 |
| Expensive Optimization with Model-Based Evolutionary Algorithms Applied to Medical Image Segmentation Using Deep Learning A Dushatskiy Delft University of Technology, 2023 | | 2023 |
| Data variation-aware medical image segmentation A Dushatskiy, G Lowe, PAN Bosman, T Alderliesten Medical Imaging 2022: Image Processing 12032, 759-765, 2022 | | 2022 |
| Estimation of Convolutional Neural Net forward Pass Time on GPU AV Dushatskiy, DY Buryak Параллельные вычислительные технологии (ПаВТ'2018), 65-72, 2018 | | 2018 |
Peter A.N. BosmanCentrum Wiskunde & Informatica (CWI)Email verificata su cwi.nl
