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Johanna Ärje
Johanna Ärje
Tampere University
Verified email at tuni.fi
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Deep learning and computer vision will transform entomology
TT Høye, J Ärje, K Bjerge, OLP Hansen, A Iosifidis, F Leese, HMR Mann, ...
Proceedings of the National Academy of Sciences 118 (2), e2002545117, 2021
3092021
Automatic image‐based identification and biomass estimation of invertebrates
J Ärje, C Melvad, MR Jeppesen, SA Madsen, J Raitoharju, ...
Methods in Ecology and Evolution 11 (8), 922-931, 2020
862020
Tieto-ja viestintätekniikan merkitys ja käyttömahdollisuudet koulun arjessa
M Kankaanranta, T Palonen, T Kejonen, J Ärje
Teoksessa M. Kankaanranta (toim.) Opetusteknologia koulun arjessa …, 2011
592011
Classification and retrieval on macroinvertebrate image databases
S Kiranyaz, T Ince, J Pulkkinen, M Gabbouj, J Ärje, S Kärkkäinen, ...
Computers in biology and medicine 41 (7), 463-472, 2011
492011
Benchmark database for fine-grained image classification of benthic macroinvertebrates
J Raitoharju, E Riabchenko, I Ahmad, A Iosifidis, M Gabbouj, S Kiranyaz, ...
Image and Vision Computing 78, 73-83, 2018
342018
Evaluating the performance of artificial neural networks for the classification of freshwater benthic macroinvertebrates
H Joutsijoki, K Meissner, M Gabbouj, S Kiranyaz, J Raitoharju, J Ärje, ...
Ecological Informatics 20, 1-12, 2014
342014
Human experts vs. machines in taxa recognition
J Ärje, J Raitoharju, A Iosifidis, V Tirronen, K Meissner, M Gabbouj, ...
Signal Processing: Image Communication 87, 115917, 2020
242020
Statistical classification and proportion estimation-an application to a macroinvertebrate image database
J Ärje, S Kärkkäinen, K Meissner, T Turpeinen
2010 IEEE International Workshop on Machine Learning for Signal Processing …, 2010
122010
Automatic flower detection and classification system using a light-weight convolutional neural network
J Ärje, D Milioris, DT Tran, JU Jepsen, J Raitoharju, M Gabbouj, A Iosifidis, ...
EUSIPCO Workshop on Signal Processing, Computer Vision and Deep Learning for …, 2019
112019
Understanding the statistical properties of the percent model affinity index can improve biomonitoring related decision making
J Ärje, KP Choi, F Divino, K Meissner, S Kärkkäinen
Stochastic Environmental Research and Risk Assessment 30, 1981-2008, 2016
102016
Dynamics and temporal changes in suspended sediment transport in northern Finland: transport of very fine particulate matter
H Marttila, ML Nieminen, J Ärje, K Meissner, T Tuukkanen, J Saukkoriipi, ...
Boreal Environment Research 21 (5-6), 541, 2016
102016
Breaking the curse of dimensionality in quadratic discriminant analysis models with a novel variant of a Bayes classifier enhances automated taxa identification of freshwater …
J Ärje, S Kärkkäinen, T Turpeinen, K Meissner
Environmetrics 24 (4), 248-259, 2013
102013
The effect of automated taxa identification errors on biological indices
J Ärje, S Kärkkäinen, K Meissner, A Iosifidis, T Ince, M Gabbouj, ...
Expert systems with applications 72, 108-120, 2017
82017
This is an electronic reprint of the original article. This reprint may differ from the original in pagination and typographic detail.
J Äystö, BS Chang, T Kalliokoski, DJ Kim, J Kral, F Krizek, K Loo, ...
Journal of Physics G: Nuclear and Particle Physics 41 (8), 087001, 2014
62014
Yliopistojen tutkintokoulutuksen ja tutkimuksen rahoitus ja tulokset vuosina 2000-2004 ja 2005-2009
P Neittaanmäki, T Tiihonen, J Ärje, R Neittaanmäki
Tutkimusselosteita/Koulutuksen tutkimuslaitos, 2010
32010
Climate sensitivity of tundra plant-pollinator interactions tracked by computer vision
HMR Mann, J Ärje, A Iosifidis, TT Høye
Entomology 2019, 2019
12019
Empirical Bayes improves assessments of diversity and similarity when overdispersion prevails in taxonomic counts with no covariates
F Divino, J Ärje, A Penttinen, K Meissner, S Kärkkäinen
Ecological Indicators 106, 105413, 2019
12019
Can humans be replaced by computers in taxarecognition
J Arje, V Tirronen, J Raitoharju, K Meissner, SK Ainen
Eur. Young Stat. Meet, 27-34, 2017
12017
Improving statistical classification methods and ecological status assessment for river macroinvertebrates
J Ärje
Report/University of Jyväskylä. Department of Mathematics and Statistics, 2016
12016
Automatic identification of arctic arthropods
J Ärje, A Iosifidis, K Meissner, J Raitoharju, SA Madsen, MR Jeppesen, ...
Entomology 2019, 2019
2019
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Articles 1–20