Applications for deep learning in ecology
S Christin, É Hervet, N Lecomte - Methods in Ecology and …, 2019 - Wiley Online Library
A lot of hype has recently been generated around deep learning, a novel group of artificial
intelligence approaches able to break accuracy records in pattern recognition. Over the …
intelligence approaches able to break accuracy records in pattern recognition. Over the …
Deep learning and computer vision will transform entomology
Most animal species on Earth are insects, and recent reports suggest that their abundance is
in drastic decline. Although these reports come from a wide range of insect taxa and regions …
in drastic decline. Although these reports come from a wide range of insect taxa and regions …
Overview of lifeclef 2022: an evaluation of machine-learning based species identification and species distribution prediction
Building accurate knowledge of the identity, the geographic distribution and the evolution of
species is essential for the sustainable development of humanity, as well as for biodiversity …
species is essential for the sustainable development of humanity, as well as for biodiversity …
Overview of lifeclef 2023: evaluation of ai models for the identification and prediction of birds, plants, snakes and fungi
Biodiversity monitoring through AI approaches is essential, as it enables the efficient
analysis of vast amounts of data, providing comprehensive insights into species distribution …
analysis of vast amounts of data, providing comprehensive insights into species distribution …
Plant recognition by AI: Deep neural nets, transformers, and kNN in deep embeddings
The article reviews and benchmarks machine learning methods for automatic image-based
plant species recognition and proposes a novel retrieval-based method for recognition by …
plant species recognition and proposes a novel retrieval-based method for recognition by …
Automatic acoustic identification of individuals in multiple species: improving identification across recording conditions
Many animals emit vocal sounds which, independently from the sounds' function, contain
some individually distinctive signature. Thus the automatic recognition of individuals by …
some individually distinctive signature. Thus the automatic recognition of individuals by …
AI recommendation service acceptance: Assessing the effects of perceived empathy and need for cognition
N Yoon, HK Lee - Journal of Theoretical and Applied Electronic …, 2021 - mdpi.com
This study investigated the effect of perceived technology quality and personalization quality
on behavioral intentions, mediated by perceived empathy in using an artificial intelligence …
on behavioral intentions, mediated by perceived empathy in using an artificial intelligence …
[PDF][PDF] Audio-based Bird Species Identification with Deep Convolutional Neural Networks.
M Lasseck - CLEF (working notes), 2018 - researchgate.net
This paper presents deep learning techniques for audio-based bird identification at very
large scale. Deep Convolutional Neural Networks (DCNNs) are fine-tuned to classify 1500 …
large scale. Deep Convolutional Neural Networks (DCNNs) are fine-tuned to classify 1500 …
Overview of lifeclef 2020: a system-oriented evaluation of automated species identification and species distribution prediction
Building accurate knowledge of the identity, the geographic distribution and the evolution of
species is essential for the sustainable development of humanity, as well as for biodiversity …
species is essential for the sustainable development of humanity, as well as for biodiversity …
[PDF][PDF] Acoustic bird detection with deep convolutional neural networks.
M Lasseck - DCASE, 2018 - dcase.community
This paper presents deep learning techniques for acoustic bird detection. Deep
Convolutional Neural Networks (DCNNs), originally designed for image classification, are …
Convolutional Neural Networks (DCNNs), originally designed for image classification, are …