This is the final version. Available from Wiley via the DOI in this record. National Institute for Health ResearchScience for Nature and People Partnershi
Technologies and methods to speed up the production of systematic reviews by reducing the manual lab...
The concepts and methodologies of machine learning are increasingly used to create semi-autonomous p...
The rapid increase in both the quantity and complexity of data that are being generated daily in the...
Recent advances in computing power have enabled the application of machine learning (ML) across all ...
Ecological research is central to efforts to ensure the provision of critical societal needs such as...
The popularity of machine learning (ML), deep learning (DL) and artificial intelligence (AI) has ris...
Progress in key social-ecological challenges of the global environmental agenda (e.g., climate chang...
The amount of scientific literature on climate change has reached unmanageable proportions. This pos...
The natural sciences, such as ecology and earth science, study complex interactions between biotic a...
1. As resources for conservation are limited, gathering and analysing information from digital platf...
Technology drives advances in science. Giving scientists access to more powerful tools for collectin...
International audienceHumanity is facing existential, societal challenges related to food security, ...
Climate change is already affecting health in populations around the world, threatening to undermine...
What do citation screening for evidence-based medicineand generating land-cover maps of the Earth ha...
Artificial intelligence (AI) promises to be an invaluable tool for nature conservation, but its misu...
Technologies and methods to speed up the production of systematic reviews by reducing the manual lab...
The concepts and methodologies of machine learning are increasingly used to create semi-autonomous p...
The rapid increase in both the quantity and complexity of data that are being generated daily in the...
Recent advances in computing power have enabled the application of machine learning (ML) across all ...
Ecological research is central to efforts to ensure the provision of critical societal needs such as...
The popularity of machine learning (ML), deep learning (DL) and artificial intelligence (AI) has ris...
Progress in key social-ecological challenges of the global environmental agenda (e.g., climate chang...
The amount of scientific literature on climate change has reached unmanageable proportions. This pos...
The natural sciences, such as ecology and earth science, study complex interactions between biotic a...
1. As resources for conservation are limited, gathering and analysing information from digital platf...
Technology drives advances in science. Giving scientists access to more powerful tools for collectin...
International audienceHumanity is facing existential, societal challenges related to food security, ...
Climate change is already affecting health in populations around the world, threatening to undermine...
What do citation screening for evidence-based medicineand generating land-cover maps of the Earth ha...
Artificial intelligence (AI) promises to be an invaluable tool for nature conservation, but its misu...
Technologies and methods to speed up the production of systematic reviews by reducing the manual lab...
The concepts and methodologies of machine learning are increasingly used to create semi-autonomous p...
The rapid increase in both the quantity and complexity of data that are being generated daily in the...