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Objective comparison of methods to decode anomalous diffusion.
Nat Commun. 2021 Oct 29;12(1):6253. doi: 10.1038/s41467-021-26320-w.
Nat Commun. 2021.
PMID: 34716305
Free PMC article.
Classification of particle trajectories in living cells: Machine learning versus statistical testing hypothesis for fractional anomalous diffusion.
Janczura J, Kowalek P, Loch-Olszewska H, Szwabiński J, Weron A.
Janczura J, et al. Among authors: loch olszewska h.
Phys Rev E. 2020 Sep;102(3-1):032402. doi: 10.1103/PhysRevE.102.032402.
Phys Rev E. 2020.
PMID: 33076015
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Detection of ε-ergodicity breaking in experimental data-A study of the dynamical functional sensibility.
Loch-Olszewska H, Szwabiński J.
Loch-Olszewska H, et al.
J Chem Phys. 2018 May 28;148(20):204105. doi: 10.1063/1.5025941.
J Chem Phys. 2018.
PMID: 29865829
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Impact of Feature Choice on Machine Learning Classification of Fractional Anomalous Diffusion.
Loch-Olszewska H, Szwabiński J.
Loch-Olszewska H, et al.
Entropy (Basel). 2020 Dec 19;22(12):1436. doi: 10.3390/e22121436.
Entropy (Basel). 2020.
PMID: 33352694
Free PMC article.
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Classification of diffusion modes in single-particle tracking data: Feature-based versus deep-learning approach.
Kowalek P, Loch-Olszewska H, Szwabiński J.
Kowalek P, et al. Among authors: loch olszewska h.
Phys Rev E. 2019 Sep;100(3-1):032410. doi: 10.1103/PhysRevE.100.032410.
Phys Rev E. 2019.
PMID: 31640019
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Inhomogeneous membrane receptor diffusion explained by a fractional heteroscedastic time series model.
Balcerek M , Loch-Olszewska H , Torreno-Pina JA , Garcia-Parajo MF , Weron A , Manzo C , Burnecki K .
Balcerek M , et al. Among authors: loch olszewska h.
Phys Chem Chem Phys. 2019 Feb 6;21(6):3114-3121. doi: 10.1039/c8cp06781c.
Phys Chem Chem Phys. 2019.
PMID: 30672913
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Identifying ergodicity breaking for fractional anomalous diffusion: Criteria for minimal trajectory length.
Loch-Olszewska H, Sikora G, Janczura J, Weron A.
Loch-Olszewska H, et al.
Phys Rev E. 2016 Nov;94(5-1):052136. doi: 10.1103/PhysRevE.94.052136. Epub 2016 Nov 22.
Phys Rev E. 2016.
PMID: 27967179
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