Johanna Ärje
Johanna Ärje
Tampere University
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Tieto-ja viestintätekniikan merkitys ja käyttömahdollisuudet koulun arjessa
M Kankaanranta, T Palonen, T Kejonen, J Ärje
Teoksessa M. Kankaanranta (toim.) Opetusteknologia koulun arjessa …, 2011
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
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
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
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), 2021
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
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
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
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
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
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 (7), 1981-2008, 2016
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 Publishing Board, 2016
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
Automatic flower detection and classification system using a light-weight convolutional neural network
J Ärje, D Milioris, D Tran, A Iosifidis, J Raitoharju
EUSIPCO workshop on “Signal Processing, Computer Vision and Deep Learning …, 2019
Improving statistical classification methods and ecological status assessment for river macroinvertebrates
J Ärje
Report/University of Jyväskylä. Department of Mathematics and Statistics, 2016
Climate sensitivity of tundra plant-pollinator interactions tracked by computer vision
HMR Mann, J Ärje, A Iosifidis, TT Høye
Entomology 2019, 2019
Automatic identification of arctic arthropods
J Ärje, A Iosifidis, K Meissner, J Raitoharju, SA Madsen, MR Jeppesen, ...
Entomology 2019, 2019
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
Empirical Bayes to assess ecological diversity and similarity with overdispersion in multivariate counts
F Divino, J Ärje, A Penttinen, K Meissner, S Kärkkäinen
arXiv preprint arXiv:1810.04748, 2018
Can humans be replaced by computers in taxa recognition?
J Arje, V Tirronen, J Raitoharju, K Meissner, S Kärkkäinen
European Young Statisticians Meeting, 27, 2017
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