Author

Elizaveta Kozlova

École Polytechnique Fédérale de LausanneORCID 0000-0001-5566-9316Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Animal Behavior & Cognition· 1 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Assay:behavioral assay· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Alexander MathisiD· 1 shared Andy BonnettoiD· 1 shared Aous KhadhraouiiD· 1 shared Arthur ValentiniD· 1 shared Daniel Nakhaee-Zadeh GutierreziD· 1 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 4 mutual co-author links

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1 shared paperAnimal Behavior & Cognition

Alexander MathisORCID

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2 papers

Recent·Most cited

Animal Behavior & CognitionbioRxivPreprintSep 27, 2025

DLC2Action: A Multimodal Deep Learning-based Toolbox for Automated Behavior Segmentation

Elizaveta Kozlova, Andy Bonnetto, Alexander Mathis

DLC2Action automates behavior segmentation using video, audio, and pose data, achieving strong performance across diverse datasets and supporting self-supervised learning and extensibility.

1 citation

mousehuman

𝕏 PostBluesky

BioinformaticsbioRxivPreprintSep 25, 2023

ProteinFlow: a Python Library to Pre-Process Protein Structure Data for Deep Learning Applications

Elizaveta Kozlova, Arthur Valentin, Aous Khadhraoui, Daniel Nakhaee-Zadeh Gutierrez

ProteinFlow is a Python library that preprocesses protein structure data for deep learning, offering a configurable pipeline and benchmarking dataset.

4 citations

protein structureexperimental assay

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