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ZENODO
Software . 2023
License: https://opensource.org/licenses/MIT
Data sources: Datacite
ZENODO
Software . 2024
License: https://opensource.org/licenses/MIT
Data sources: Datacite
ZENODO
Software . 2024
License: https://opensource.org/licenses/MIT
Data sources: Datacite
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TrackSegNet: a tool for trajectory segmentation into diffusive states using supervised deep learning

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 24 Mar 2023Publisher:Zenodo
Authors: Kabbech, Hélène; Smal, Ihor;

doi: 10.5281/zenodo.11448567 , 10.5281/zenodo.7767749 , 10.5281/zenodo.7767750

TrackSegNet: a tool for trajectory segmentation into diffusive states using supervised deep learning

Abstract

What's Changed Update paper.md by @hkabbech in https://github.com/hkabbech/TrackSegNet/pull/4 Bump fonttools from 4.38.0 to 4.43.0 by @dependabot in https://github.com/hkabbech/TrackSegNet/pull/12 Test readthedocs on Pull Request by @hkabbech in https://github.com/hkabbech/TrackSegNet/pull/13 Test readthedocs on Pull Request by @hkabbech in https://github.com/hkabbech/TrackSegNet/pull/14 Test readthedocs on Pull Request by @hkabbech in https://github.com/hkabbech/TrackSegNet/pull/15 Test readthedocs on Pull Request by @hkabbech in https://github.com/hkabbech/TrackSegNet/pull/16 Test readthedocs on PR by @hkabbech in https://github.com/hkabbech/TrackSegNet/pull/17 Write docstrings by @hkabbech in https://github.com/hkabbech/TrackSegNet/pull/18 merge Dev by @hkabbech in https://github.com/hkabbech/TrackSegNet/pull/19 Improve API documentation #11 by @hkabbech in https://github.com/hkabbech/TrackSegNet/pull/20 Fix minor issues with python packaging #9 by @hkabbech in https://github.com/hkabbech/TrackSegNet/pull/21 Minor revisions for JOSS paper by @hkabbech in https://github.com/hkabbech/TrackSegNet/pull/25 Minor changes before publication in JOSS by @hkabbech in https://github.com/hkabbech/TrackSegNet/pull/26 Full Changelog: https://github.com/hkabbech/TrackSegNet/compare/v1.0.0...v1.3.0

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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impulse
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