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Automated monitoring of animal behaviour with barcodes and convolutional neural networks

https://doi.org/10.1101/2020.11.27.401760
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-10590-1_53openalex-snapshot
Visualizing and Understanding Convolutional Networks
inferredcites →https://doi.org/10.1007/pl00001791openalex-snapshot
Thermographic recordings show that honeybees may receive nectar from foragers even during short trophallactic contacts
inferredcites →https://doi.org/10.1016/j.neunet.2018.07.011openalex-snapshot
A systematic study of the class imbalance problem in convolutional neural networks
inferredcites →https://doi.org/10.1016/j.tree.2013.06.002openalex-snapshot
Reality mining of animal social systems
inferredcites →https://doi.org/10.1038/nature14539openalex-snapshot
Deep learning
inferredcites →https://doi.org/10.1038/s41467-018-03561-wopenalex-snapshot
Spatial fidelity of workers predicts collective response to disturbance in a social insect
inferredcites →https://doi.org/10.1038/s41592-018-0234-5openalex-snapshot
Fast animal pose estimation using deep neural networks
inferredcites →https://doi.org/10.1038/s41593-018-0209-yopenalex-snapshot
DeepLabCut: markerless pose estimation of user-defined body parts with deep learning
inferredcites →https://doi.org/10.1038/s41598-017-17863-4openalex-snapshot
Automated computer-based detection of encounter behaviours in groups of honeybees
inferredcites →https://doi.org/10.1038/s41598-017-18450-3openalex-snapshot
Lifetime-preserving reference models for characterizing spreading dynamics on temporal networks
inferredcites →https://doi.org/10.1073/pnas.1713568115openalex-snapshot
Automated monitoring of behavior reveals bursty interaction patterns and rapid spreading dynamics in honeybee social networks
inferredcites →https://doi.org/10.1073/pnas.2002268117openalex-snapshot
Honey bee virus causes context-dependent changes in host social behavior
inferredcites →https://doi.org/10.1109/jproc.2023.3238524openalex-snapshot
Object Detection in 20 Years: A Survey
inferredcites →https://doi.org/10.1111/2041-210x.13005openalex-snapshot
An automated barcode tracking system for behavioural studies in birds
inferredcites →https://doi.org/10.1126/science.1234316openalex-snapshot
Tracking Individuals Shows Spatial Fidelity Is a Key Regulator of Ant Social Organization
inferredcites →https://doi.org/10.1126/science.aat1598openalex-snapshot
Neonicotinoid exposure disrupts bumblebee nest behavior, social networks, and thermoregulation
inferredcites →https://doi.org/10.1126/science.aat4793openalex-snapshot
Social network plasticity decreases disease transmission in a eusocial insect
inferredcites →https://doi.org/10.1371/journal.pone.0131080openalex-snapshot
Biodiversity on the Rocks: Macrofauna Inhabiting Authigenic Carbonate at Costa Rica Methane Seeps
inferredcites →https://doi.org/10.2307/3495099openalex-snapshot
Body Size and the Functional Length of the Proboscis of Honey Bees
inferredcites →https://doi.org/10.3389/fevo.2015.00103openalex-snapshot
Automatic methods for long-term tracking and the detection and decoding of communication dances in honeybees
inferredcites →https://doi.org/10.4230/oasics.dx.2026.15openalex-snapshot
AutoResearch Lite: a reproducible paper-inspired experiment runner (Adam mechanism reproduction and convergence-speed comparison)
inferredcites →https://doi.org/10.7554/elife.20375openalex-snapshot
Oral transfer of chemical cues, growth proteins and hormones in social insects
inferredcites →https://doi.org/10.7554/elife.39324openalex-snapshot
Consolidation alters motor sequence-specific distributed representations
inferredcites →https://doi.org/10.7554/elife.47994openalex-snapshot
DeepPoseKit, a software toolkit for fast and robust animal pose estimation using deep learning

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1016/j.compag.2025.111236openalex-snapshot
Api-TRACE: A system for honey bee tracking in a constrained environment to study bee learning process and the effect of lithium on learning
inferred← citeshttps://doi.org/10.1016/j.isci.2022.104842openalex-snapshot
Behavioral variation across the days and lives of honey bees
inferred← citeshttps://doi.org/10.1093/biomethods/bpac005openalex-snapshot
Semi-automatic detection of honeybee brood hygiene—an example of artificial learning to facilitate ethological studies on social insects
inferred← citeshttps://doi.org/10.1098/rsos.202033openalex-snapshot
Integrating real-time data analysis into automatic tracking of social insects
inferred← citeshttps://doi.org/10.1101/2020.09.09.289272openalex-snapshot
Individual differences in honey bee behavior enabled by plasticity in brain gene regulatory networks
inferred← citeshttps://doi.org/10.1242/jeb.243738openalex-snapshot
Context-dependent influence of threat on honey bee social network dynamics and brain gene expression
inferred← citeshttps://doi.org/10.3390/ani12131711openalex-snapshot
The Future of Artificial Intelligence in Monitoring Animal Identification, Health, and Behaviour
inferred← citeshttps://doi.org/10.7554/elife.62850openalex-snapshot
Individual differences in honey bee behavior enabled by plasticity in brain gene regulatory networks
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