Research graph
References from Rapid literature mapping on the recent use of machine learning for wildlife imagery. Local targets link to admitted publications; unresolved targets remain external evidence.
Combining abbreviated literature searches with single-reviewer screening: three case studies of rapid reviews
10.1186/s13643-020-01413-7 · 2020 · External reference
Automated Bird Counting with Deep Learning for Regional Bird Distribution Mapping
10.3390/ani10071207 · 2020 · External reference
A Review on Computer Vision-Based Methods for Human Action Recognition
10.3390/jimaging6060046 · 2020 · External reference
Futurecasting ecological research: the rise of technoecology
10.1002/ecs2.2163 · 2018 · External reference
A real‐world dataset and data simulation algorithm for automated fish species identification
10.1002/gdj3.114 · 2021 · External reference
Decolonizing field ecology
10.1111/btp.12663 · 2019 · External reference
Recent trends in crowd analysis: A review
10.1016/j.mlwa.2021.100023 · 2021 · External reference
Towards the fully automated monitoring of ecological communities
10.1111/ele.14123 · 2022 · External reference
Taxonomic chauvinism
10.1016/s0169-5347(01)02381-3 · 2002 · External reference
Toward Using Citizen Scientists to Drive Automated Ecological Object Detection in Aerial Imagery
10.1109/escience.2017.22 · 2017 · External reference
Detecting Wildlife in Unmanned Aerial Systems Imagery Using Convolutional Neural Networks Trained with an Automated Feedback Loop
10.1007/978-3-319-93698-7_6 · 2018 · External reference
ggalluvial: Layered Grammar for Alluvial Plots
10.21105/joss.02017 · 2020 · External reference
On Safari with TensorFlow: Assisting Tourism in Rural Southern Africa Using Machine Learning
10.1109/icabcd.2018.8465441 · 2018 · External reference
Collaborating with our community to increase code sharing
10.1371/journal.pcbi.1008867 · 2021 · External reference
A review of camera trapping for conservation behaviour research
10.1002/rse2.48 · 2017 · External reference
Exploring Low-light Object Detection Techniques
10.48550/arxiv.2107.14382 · 2021 · External reference
Applications for deep learning in ecology
10.1111/2041-210x.13256 · 2019 · External reference
Science Mapping Software Tools: Review, Analysis, and Cooperative Study Among Tools
10.1002/asi.21525 · 2011 · External reference
Taxonomic bias and international biodiversity conservation research
10.1139/facets-2016-0011 · 2017 · External reference
Using very‐high‐resolution satellite imagery and deep learning to detect and count African elephants in heterogeneous landscapes
10.1002/rse2.195 · 2020 · External reference
Expediting systematic reviews: methods and implications of rapid reviews
10.1186/1748-5908-5-56 · 2010 · External reference
Review of machine learning uses for the analysis of images on wildlife
10.24072/pci.ecology.100513 · 2023 · External reference
Whale counting in satellite and aerial images with deep learning
10.1038/s41598-019-50795-9 · 2019 · External reference
GRADE guidelines: 2. Framing the question and deciding on important outcomes
10.1016/j.jclinepi.2010.09.012 · 2011 · External reference
Egg recognition: The importance of quantifying multiple repeatable features as visual identity signals
10.1371/journal.pone.0248021 · 2021 · External reference
What are the best methodologies for rapid reviews of the research evidence for evidence-informed decision making in health policy and practice: a rapid review
10.1186/s12961-016-0155-7 · 2016 · External reference
The benefits of systematic mapping to evidence-based environmental management
10.1007/s13280-016-0773-x · 2016 · External reference
ROSES RepOrting standards for Systematic Evidence Syntheses: pro forma, flow-diagram and descriptive summary of the plan and conduct of environmental systematic reviews and systematic maps
10.1186/s13750-018-0121-7 · 2018 · External reference
Deep learning and computer vision will transform entomology
10.1073/pnas.2002545117 · 2021 · External reference
Dawn of Drone Ecology: Low-Cost Autonomous Aerial Vehicles for Conservation
10.1177/194008291200500202 · 2012 · External reference
Data, statistical scripts, command lines and simulation code. mlagisz/SM_machine_learning_animals: first release updated (v1.0.1)
10.5281/zenodo.7502948 · 2023 · External reference
Rapid systematic reviews for synthesizing research on built environment
10.1016/j.envdev.2022.100730 · 2022 · External reference
Deep learning for environmental conservation
10.1016/j.cub.2019.08.016 · 2019 · External reference
Deep learning
10.1038/nature14539 · 2015 · External reference
A survey and performance evaluation of deep learning methods for small object detection
10.1016/j.eswa.2021.114602 · 2021 · External reference
Towards Automatic Detection of Animals in Camera-Trap Images
10.23919/eusipco.2018.8553439 · 2018 · External reference
A logical calculus of the ideas immanent in nervous activity
10.1016/s0092-8240(05)80006-0 · 1990 · External reference
10.1071/9781486300402
10.1071/9781486300402 · 2014 · External reference
rotl: an R package to interact with the Open Tree of Life data
10.1111/2041-210x.12593 · 2016 · External reference
Empathy and compassion toward other species decrease with evolutionary divergence time
10.1038/s41598-019-56006-9 · 2019 · External reference
Large-Scale Automatic Species Identification
10.1007/978-3-319-63004-5_24 · 2017 · External reference
Identifying the PECO: A framework for formulating good questions to explore the association of environmental and other exposures with health outcomes
10.1016/j.envint.2018.07.015 · 2018 · External reference
A Systematic Mapping of the Advancing Use of Machine Learning Techniques for Predictive Maintenance in the Manufacturing Sector
10.3390/app11062546 · 2021 · External reference
Research Weaving: Visualizing the Future of Research Synthesis
10.1016/j.tree.2018.11.007 · 2019 · External reference
Advances in image acquisition and processing technologies transforming animal ecological studies
10.1016/j.ecoinf.2021.101212 · 2021 · External reference
Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning
10.1073/pnas.1719367115 · 2018 · External reference
Rayyan—a web and mobile app for systematic reviews
10.1186/s13643-016-0384-4 · 2016 · External reference
The PRISMA 2020 statement: An updated guideline for reporting systematic reviews
10.1371/journal.pmed.1003583 · 2021 · External reference
The ARRIVE guidelines 2.0: Updated guidelines for reporting animal research
10.1371/journal.pbio.3000410 · 2020 · External reference
Overview of SnakeCLEF 2021: Automatic snake species identification with country-level focus
2021 · External reference
Taxonomic Chauvinism in Pesticide Ecotoxicology
10.1002/etc.5227 · 2021 · External reference
R: A language and environment for statistical computing
2022 · External reference
PakhiChini: Automatic Bird Species Identification Using Deep Learning
2020 · External reference
Detecting animals in African Savanna with UAVs and the crowds
10.1016/j.rse.2017.08.026 · 2017 · External reference
Taxonomic bias in animal behaviour publications
10.1016/j.anbehav.2017.02.017 · 2017 · External reference
An Automated Fish Species Identification System Based on Crow Search Algorithm
10.1007/978-3-319-74690-6_12 · 2018 · External reference
Reviews: Rapid! Rapid! Rapid! …and systematic
10.1186/2046-4053-4-4 · 2015 · External reference
rworldmap: a new R package for mapping global data
10.32614/rj-2011-006 · 2011 · External reference
Exploring reporting quality of systematic reviews and Meta-analyses on nursing interventions in patients with Alzheimer’s disease before and after PRISMA introduction
10.1186/s12874-018-0622-7 · 2018 · External reference
Machine learning to classify animal species in camera trap images: Applications in ecology
10.1111/2041-210x.13120 · 2018 · External reference
Quantifying research interests in 7,521 mammalian species with h-index: a case study
10.1093/gigascience/giac074 · 2022 · External reference
A scoping review of rapid review methods
10.1186/s12916-015-0465-6 · 2015 · External reference
Decoloniality and anti-oppressive practices for a more ethical ecology
10.1038/s41559-021-01460-w · 2021 · External reference
Taxonomic bias in biodiversity data and societal preferences
10.1038/s41598-017-09084-6 · 2017 · External reference
Perspectives in machine learning for wildlife conservation
10.1038/s41467-022-27980-y · 2022 · External reference
Towards automatic wild animal monitoring: Identification of animal species in camera-trap images using very deep convolutional neural networks
10.1016/j.ecoinf.2017.07.004 · 2017 · External reference
Deep learning for biology
10.1038/d41586-018-02174-z · 2018 · External reference
A computer vision for animal ecology
10.1111/1365-2656.12780 · 2017 · External reference
10.1007/978-3-319-24277-4
10.1007/978-3-319-24277-4 · 2016 · External reference
The FAIR Guiding Principles for scientific data management and stewardship
10.1038/sdata.2016.18 · 2016 · External reference
Identifying animal species in camera trap images using deep learning and citizen science
10.1111/2041-210x.13099 · 2018 · External reference
Deep learning analysis of nest camera video recordings reveals temperature-sensitive incubation behavior in the purple martin (Progne subis)
10.1007/s00265-019-2789-2 · 2019 · External reference
Image-Based Recognition of Individual Trouts in the Wild
10.1109/euvip47703.2019.8946137 · 2019 · External reference
