相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Digital data sources and methods for conservation culturomics
Ricardo A. Correia et al.
CONSERVATION BIOLOGY (2021)
How to address data privacy concerns when using social media data in conservation science
Enrico Di Minin et al.
CONSERVATION BIOLOGY (2021)
Online sentiment towards iconic species
Christoph Fink et al.
BIOLOGICAL CONSERVATION (2020)
It's in the news: Characterising Indonesia's wild bird trade network from media-reported seizure incidents
Karlina Indraswari et al.
BIOLOGICAL CONSERVATION (2020)
iEcology: Harnessing Large Online Resources to Generate Ecological Insights
Ivan Jaric et al.
TRENDS IN ECOLOGY & EVOLUTION (2020)
Expanding the Role of Biodiversity in Laypeople's Lives: The View of Communicators
Michiel J. D. Hooykaas et al.
SUSTAINABILITY (2020)
Illegal trade in wild cats and its link to Chinese-led development in Central and South America
Thais Q. Morcatty et al.
CONSERVATION BIOLOGY (2020)
A content analysis from 153 years of print and online media shows positive perceptions of the hellbender salamander follow the conservation biology
Shem D. Unger et al.
BIOLOGICAL CONSERVATION (2020)
Thousands of reptile species threatened by under-regulated global trade
Benjamin M. Marshall et al.
NATURE COMMUNICATIONS (2020)
A framework for investigating illegal wildlife trade on social media with machine learning
Enrico Di Minin et al.
CONSERVATION BIOLOGY (2019)
Social media data for conservation science: A methodological overview
Tuuli Toivonen et al.
BIOLOGICAL CONSERVATION (2019)
Deep learning for environmental conservation
Aakash Lamba et al.
CURRENT BIOLOGY (2019)
Text Classification Algorithms: A Survey
Kamran Kowsari et al.
INFORMATION (2019)
Content Analysis of Media Reports on Predator Attacks on Humans: Toward an Understanding of Human Risk Perception and Predator Acceptance
Giulia Bombieri et al.
BIOSCIENCE (2018)
Deconstructing Cross-Entropy for Probabilistic Binary Classifiers
Daniel Ramos et al.
ENTROPY (2018)
Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning
Mohammad Sadegh Norouzzadeh et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2018)
Machine learning for tracking illegal wildlife trade on social media
Enrico Di Minin et al.
NATURE ECOLOGY & EVOLUTION (2018)
Changing trends and persisting biases in three decades of conservation science
Moreno Di Marco et al.
GLOBAL ECOLOGY AND CONSERVATION (2017)
Conservation culturomics
Richard J. Ladle et al.
FRONTIERS IN ECOLOGY AND THE ENVIRONMENT (2016)
The ravages of guns, nets and bulldozers
Sean Maxwell et al.
NATURE (2016)
Analysis of the Capacity of Google Trends to Measure Interest in Conservation Topics and the Role of Online News
Le T. P. Nghiem et al.
PLOS ONE (2016)
Emerging Technologies to Conserve Biodiversity
Stuart L. Pimm et al.
TRENDS IN ECOLOGY & EVOLUTION (2015)
Automatic detection of potentially illegal online sales of elephant ivory via data mining
Julio Hernandez-Castro et al.
PEERJ COMPUTER SCIENCE (2015)
Prospects and challenges for social media data in conservation science
Enrico Di Minin et al.
FRONTIERS IN ENVIRONMENTAL SCIENCE (2015)
Global Biodiversity: Indicators of Recent Declines
Stuart H. M. Butchart et al.
SCIENCE (2010)
But the data is already public: on the ethics of research in Facebook
Michael Zimmer
ETHICS AND INFORMATION TECHNOLOGY (2010)