| Wybrane publikacje |
| 1 | Referat konferencyjny 2025
Michał B Prusik, Bartosz Frej, Michał W Przewoźniczek,| Availability of perfect decomposition in statistical linkage learning for unitation-based function concatenations. W: FOGA '25 : Proceedings of the 18th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, August 27-29, 2025, Leiden, The Netherlands. New York, NY : ACM, cop. 2025. s. 226-237. ISBN: 979-8-4007-1859-5 | | Zasoby:DOI |  |
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| 2 | Artykuł 2025
Michał W Przewoźniczek, Bartosz Frej, Marcin M Komarnicki,| From direct to directional variable dependencies - nonsymmetrical dependencies discovery in real-world and theoretical problems. IEEE Transactions on Evolutionary Computation. 2025, vol. 29, nr 2, s. 490-504. ISSN: 1089-778X; 1941-0026 | | Zasoby:DOIURLSFX |     |
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| 3 | Referat konferencyjny 2022
Michał W Przewoźniczek, Renato Tinós, Bartosz Frej, Marcin M Komarnicki,| On turning black - into dark gray-optimization with the direct empirical linkage discovery and partition crossover. W: GECCO '22 : Proceedings of the 2022 Genetic and Evolutionary Computation Conference, July 9-13, 2022, Boston, Massachusetts / ed. Jonathan E. Fieldsend. New York, NY : ACM, cop. 2022. s. 269-277. ISBN: 978-1-4503-9237-2 | | Zasoby:DOIURL | |
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| 4 | Referat konferencyjny 2021
Michał W Przewoźniczek, Marcin M Komarnicki, Dirk Thierens, Bartosz Frej, Ngoc Hoang Luong,| Hybrid linkage learning for permutation optimization with Gene-pool optimal mixing evolutionary algorithms. W: GECCO’21 Companion : Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion, July 10-14, 2021 Lille, France / eds. Francisco Chicano, Krzysztof Krawiec. New York, NY : ACM, cop. 2021. s. 1442-1450. ISBN: 978-1-4503-8351-6 | | Zasoby:DOI | |
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| 5 | Referat konferencyjny 2021
Michał W Przewoźniczek, Marcin M Komarnicki, Bartosz Frej,| Direct linkage discovery with empirical linkage learning. W: GECCO’21 Companion : Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion, July 10-14, 2021 Lille, France / eds. Francisco Chicano, Krzysztof Krawiec. New York, NY : ACM, cop. 2021. s. 609-617. ISBN: 978-1-4503-8351-6 | | Zasoby:DOI | |
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| 6 | Referat konferencyjny 2020
Michał W Przewoźniczek, Bartosz Frej, Marcin M Komarnicki,| On measuring and improving the quality of linkage learning in modern evolutionary algorithms applied to solve partially additively separable problems. W: GECCO '20 : Proceedings of the Genetic and Evolutionary Computation Conference, Cancún, Mexico, July 08-12, 2020 / ed. Jose A. Lozano. New York, NY : ACM, cop. 2020. s. 742-750. ISBN: 978-1-4503-7128-5 | | Zasoby:DOIURL | |
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| 7 | Artykuł 2020
Bartosz Frej, Dawid Huczek,| Extensions of full shifts with group actions. Colloquium Mathematicum. 2020, vol. 160, nr 1, s. 65-70. ISSN: 0010-1354; 1730-6302 | | Zasoby:DOISFX |    |
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| 8 | Artykuł 2020
Bartosz Frej,| Exploding Markov operators. Positivity. 2020, vol. 24, nr 5, s. 1435-1447. ISSN: 1385-1292 | | Zasoby:DOISFX |     |
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| 9 | Artykuł 2020
Bartosz Frej, Dawid Huczek,| A comment on ergodic theorem for amenable groups. Canadian Mathematical Bulletin. 2020, vol. 63, nr 2, s. 257-261. ISSN: 0008-4395; 1496-4287 | | Zasoby:DOISFX |    |
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| 10 | Artykuł 2019
Bartosz Frej, Dawid Huczek,| Doubly stochastic operators with zero entropy. Annals of Functional Analysis. 2019, vol. 10, nr 1, s. 144-156. ISSN: 2008-8752 | | Zasoby:DOIURLSFX |    |
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