E-LIB Suche - Ergebnisse für: Ärje, Johanna

1

Deep learning and computer vision will transform entomology:

Høye, Toke T. ; Ärje, Johanna ; Bjerge, Kim...
Proceedings of the National Academy of Sciences. 118 (2021) 2 - p. , 2021

Link: https://doi.org/10.1073/..

2

Human experts vs. machines in taxa recognition:

Ärje, Johanna ; Raitoharju, Jenni ; Iosifidis, Alexandros...
Signal Processing: Image Communication. 87 (2020) - p. 115917 , 2020

Link: https://doi.org/10.1016/..

3

Automatic image‐based identification and biomass estimation..:

Ärje, Johanna ; Melvad, Claus ; Jeppesen, Mads Rosenhøj...
Methods in Ecology and Evolution. 11 (2020) 8 - p. 922-931 , 2020

Link: https://doi.org/10.1111/..

4

Empirical Bayes improves assessments of diversity and simil..:

Divino, Fabio ; Ärje, Johanna ; Penttinen, Antti..
Ecological Indicators. 106 (2019) - p. 105413 , 2019

Link: https://doi.org/10.1016/..

5

Benchmark database for fine-grained image classification of..:

Raitoharju, Jenni ; Riabchenko, Ekaterina ; Ahmad, Iftikhar...
Image and Vision Computing. 78 (2018) - p. 73-83 , 2018

Link: https://doi.org/10.1016/..

6

The effect of automated taxa identification errors on biolo..:

Ärje, Johanna ; Kärkkäinen, Salme ; Meissner, Kristian...
Expert Systems with Applications. 72 (2017) - p. 108-120 , 2017

Link: https://doi.org/10.1016/..

7

Understanding the statistical properties of the percent mod..:

Ärje, Johanna ; Choi, Kwok-Pui ; Divino, Fabio..
Stochastic Environmental Research and Risk Assessment. 30 (2016) 7 - p. 1981-2008 , 2016

Link: https://doi.org/10.1007/..

8

Evaluating the performance of artificial neural networks fo..:

Joutsijoki, Henry ; Meissner, Kristian ; Gabbouj, Moncef...
Ecological Informatics. 20 (2014) - p. 1-12 , 2014

Link: https://doi.org/10.1016/..

9

Classification and retrieval on macroinvertebrate image dat..:

Kiranyaz, Serkan ; Ince, Turker ; Pulkkinen, Jenni...
Computers in Biology and Medicine. 41 (2011) 7 - p. 463-472 , 2011

Link: https://doi.org/10.1016/..

10

Deep learning and computer vision will transform entomology:

Høye, Toke T ; Ärje, Johanna ; Bjerge, Kim...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7812775/. , 2021

Link: http://www.ncbi.nlm.nih...

11

Automatic image-based identification and biomass estimation..:

Ärje, Johanna ; Melvad, Claus ; Jeppesen, Mads Rosenhoj...
Methods in Ecology and Evolution. , 2021

Link: http://hdl.handle.net/10..

12

Deep learning and computer vision will transform entomology:

Høye, Toke Thomas ; Ärje, Johanna ; Bjerge, Kim...
Høye , T T , Ärje , J , Bjerge , K , Hansen , O L P , Iosifidis , A , Leese , F , Mann , H M R , Meissner , K , Melvad , C & Raitoharju , J 2021 , ' Deep learning and computer vision will transform entomology ' , Proceedings of the National Academy of Sciences , vol. 118 , no. 2 , e2002545117 . https://doi.org/10.1073/pnas.2002545117. , 2021

Link: https://pure.au.dk/porta..

13

Automatic image‐based identification and biomass estimation..:

Ärje, Johanna ; Melvad, Claus ; Jeppesen, Mads Rosenhøj...
Methods in Ecology and Evolution. , 2020

Link: http://urn.fi/URN:NBN:fi..

14

Automatic image-based identification and biomass estimation..:

Ärje, Johanna ; Melvad, Claus ; Jeppesen, Mads Rosenhøj...
https://pure.au.dk/portal/da/publications/automatic-imagebased-identification-and-biomass-estimation-of-invertebrates(730d0e94-08bd-45d5-8f4b-85981741d310).html. , 2020

Link: https://pure.au.dk/porta..

15

Automatic image-based identification and biomass estimation..:

Ärje, Johanna ; Melvad, Claus ; Jeppesen, Mads Rosenhøj...
http://arxiv.org/abs/2002.03807. , 2020

Link: http://arxiv.org/abs/200..