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Henrik Seckler

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cond-mat.stat-mech2
  • nlin.AO1
ORCID 0000-0002-7729-433X

identity via Semantic Scholar / OpenAlex

most citedMachine-Learning Solutions for the Analysis of Single-Particle Diffusion Trajectories

52 citations · 52 across the 3 of their papers we have counts for

collaborators

3 papers

nlin.AO2024

Multifractal-spectral features enhance classification of anomalous diffusion

Henrik Seckler, Ralf Metzler, Damian G. Kelty-Stephen +1

Anomalous diffusion processes pose a unique challenge in classification and characterization. Previously (Mangalam et al., 2023, Physical Review Research 5, 023144), we established…

cond-mat.stat-mech2023★ 52 cited

Machine-Learning Solutions for the Analysis of Single-Particle Diffusion Trajectories

Henrik Seckler, Janusz Szwabinski, Ralf Metzler

Single-particle traces of the diffusive motion of molecules, cells, or animals are by-now routinely measured, similar to stochastic records of stock prices or weather data. Deciphe…

cond-mat.stat-mech2023

Directedeness, correlations, and daily cycles in springbok motion: from data over stochastic models to movement prediction

P. G. Meyer, A. G. Cherstvy, H. Seckler +4

How predictable is the next move of an animal? Specifically, which factors govern the short- and long-term motion patterns and the overall dynamics of landbound, plant-eating anima…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.