J. Ärje

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Evaluating the performance of artificial neural networks for the classification of freshwater benthic macroinvertebrates

Martti Juhola, Moncef Gabbouj, Jenni Raitoharju, 2014, Ecol. Informatics.

Breaking the curse of dimensionality in quadratic discriminant analysis models with a novel variant of a Bayes classifier enhances automated taxa identification of freshwater macroinvertebrates

K. Meissner, J. Ärje, S. Kärkkäinen, 2013 .

Classification and retrieval on macroinvertebrate image databases

Martti Juhola, Moncef Gabbouj, Serkan Kiranyaz, 2011, Comput. Biol. Medicine.

The effect of magnetic field strength on the time evolution of high energy bremsstrahlung radiation created by an electron cyclotron resonance ion source

J. Ärje, T. Ropponen, O. Tarvainen, 2009 .

J. Ärje, J. Komppula, T. Ropponen, 2010 .

Empirical Bayes improves assessments of diversity and similarity when overdispersion prevails in taxonomic counts with no covariates

A. Penttinen, K. Meissner, J. Ärje, 2019, Ecological Indicators.

Improving statistical classification methods and ecological status assessment for river macroinvertebrates

J. Ärje, 2016 .

Automatic image‐based identification and biomass estimation of invertebrates pdf

Alexandros Iosifidis, Jenni Raitoharju, Ville Tirronen, 2020, Methods in Ecology and Evolution.

A study of a helium-jet ion guide for an on-line isotope separator

J. Ärje, J. Äystö, J. Honkanen, 1981 .

Beta decay of Tz = −12 nuclides 51Fe and 55Ni: A new approach to on-line isotope separation

J. Ärje, J. Äystö, P. Taskinen, 1984 .

The ion guide isotope separator on-line, IGISOL

J. Ärje, J. Äystö, J. Honkanen, 1986 .

The IGISOL technique—three decades of developments

J. Ärje, P. Dendooven, I. Moore, 2014 .

Automatic Flower Detection and Classification System Using a Light-Weight Convolutional Neural Network

M. Gabbouj, Jenni Raitoharju, Alexandros Iosifidis, 2019 .

Diagnostics of plasma decay and afterglow transient of an electron cyclotron resonance ion source

J. Ärje, T. Ropponen, O. Tarvainen, 2010 .

Ion guide method for on-line isotope separation

J. Ärje, J. Äystö, J. Honkanen, 1987 .

Charge Creation and Reset Mechanisms in an Ion Guide Isotope Separator (IGIS)

J. Ärje, 1983 .

The IGISOL technique—three decades of developments

J. Ärje, P. Dendooven, I. Moore, 2013, Hyperfine Interactions.

Separation of fission products by the ion guide fed isotope separator, IGISOL

J. Ärje, J. Äystö, J. Honkanen, 1987 .

Helium-jet ion guide for an on-line isotope separator

J. Ärje, K. Valli, 1981 .

Half-life and configuration of the 1/2+ intruder state in203Bi

J. Ärje, J. Äystö, J. Honkanen, 1984 .

The effects of beam line pressure on the beam quality of an electron cyclotron resonance ion source

J. Ärje, T. Ropponen, O. Tarvainen, 2010 .

Understanding the statistical properties of the percent model affinity index can improve biomonitoring related decision making

Salme Kärkkäinen, Kristian Meissner, Fabio Divino, 2016, Stochastic Environmental Research and Risk Assessment.

The ion-guide isotope separator on-line at the Tohoku University Cyclotron

J. Ärje, M. Yoshii, H. Hama, 1987 .

Status report of the SARA IGISOL used in the study of the 238U(α 40 MeV, ƒ) reaction

J. Ärje, N. Redon, R. Duffait, 1992 .

Discovery of New Fission Product Activities in the A=110–118 Mass Region

J. Ärje, J. Äystö, J. Honkanen, 1986 .

Production of titanium ion beams in an ECR ion source

J. Ärje, H. Koivisto, M. Nurmia, 2002 .

First intense isotopic titanium-50 beam using MIVOC method

J. Ärje, A. Ouadi, B. Gall, 2012 .

The first results with the new JYFL 14 GHz ECR ion source

J. Ärje, H. Koivisto, J. Pakarinen, 2001 .

Production of intense beams of highly charged metallic ions from RIKEN 18 GHz electron cyclotron resonance ion source

J. Ärje, N. Inabe, M. Kase, 1998 .

Metal ion beams from an ECR ion source using volatile compounds

H. Koivisto, J. Ärje, H. Koivisto, 1994 .

J. Ärje, R., J. Komppula, 2014 .

Metal ions from the volatile compounds method for the production of metal ion beams

J. Ärje, H. Koivisto, M. Nurmia, 1998 .

Production of a magnesium ion beam using the MIVOC method

J. Ärje, H. Koivisto, E. Kolehmainen, 1996 .

Low cost upgrade of 6.4 GHz ECRIS and recent results with 14 GHz ECRIS at JYFL

J. Ärje, H. Koivisto, E. Liukkonen, 2002 .

Plasma breakdown diagnostics with the biased disc of electron cyclotron resonance ion source

J. Ärje, T. Ropponen, O. Tarvainen, 2009 .

Dynamics and temporal changes in suspended sediment transport in northern Finland: transport of very fine particulate matter

K. Meissner, J. Ärje, B. Kløve, 2016 .

Deep learning and computer vision will transform entomology

Alexandros Iosifidis, Jenni Raitoharju, Johanna Ärje, 2020, Proceedings of the National Academy of Sciences.

Benchmark database for fine-grained image classification of benthic macroinvertebrates

Alexandros Iosifidis, Moncef Gabbouj, Iftikhar Ahmad, 2018, Image Vis. Comput..

A high intensity dc H− source for low energy injection

R. Baartman, J. Ärje, E. Liukkonen, 2002 .

An improved extraction for the multicusp-type light ion-ion source apparatus

J. Ärje, J. Reijonen, E. Liukkonen, 1998 .

Production of highly charged metal ion beams from organic metal compounds at RIKEN 18 GHz ECRIS

J. Ärje, Y. Yano, N. Inabe, 1997 .

Application of 3D Code IBSimu for Designing an H−/D− Extraction System for the Texas A&M Facility Upgrade

J. Ärje, O. Tarvainen, T. Kalvas, 2011 .

The effect of automated taxa identification errors on biological indices

Alexandros Iosifidis, Moncef Gabbouj, Serkan Kiranyaz, 2017, Expert Syst. Appl..

Human experts vs. machines in taxa recognition pdf

Moncef Gabbouj, Jenni Raitoharju, Serkan Kiranyaz, 2017, Signal Process. Image Commun..

The effect of automated taxa identification errors on biological indices

M. Gabbouj, S. Kiranyaz, T. Ince, 2017, Expert Syst. Appl..