Salme Kärkkäinen

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Kustannustehokkaamman ja tarkemman biologisen seurannan toteuttamiseksi kehitämme konelähtöistä lajien tunnistusta ja erityisesti vertaamme ihmis- ja konelähtöisen tunnistamisen eroja tuloksista laskettuihin indekseihin, joiden perusteella päätellään esim. vesistön puhtaus.

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Julkaisut ja muut tuotokset

  

  

  

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• The politics–administration dichotomy in support for national sport guidelines in local government : The views of Finnish municipal top decision-makers on child and youth physical activity guidelines (2023) Lee, Anna; et al.; A1; OA
• A Bayesian stable isotope mixing model for coping with multiple isotopes, multiple trophic steps and small sample sizes (2022) Heikkinen, Risto; et al.; A1; OA
• Attentional modulation of interhemispheric (a)symmetry in children with developmental language disorder (2022) Hernández, Doris; et al.; A1; OA
• Estimating mean lifetime from partially observed events in nuclear physics (2022) Karvanen, Juha; et al.; A1; OA
• A nonlinear mixed model approach to predict energy expenditure from heart rate (2021) Kortelainen, Lauri; et al.; A1; OA
• Human experts vs. machines in taxa recognition (2020) Ärje, Johanna; et al.; A1; OA
• The value of perfect and imperfect information in lake monitoring and management (2020) Koski, Vilja; et al.; A1; OA
• Empirical Bayes improves assessments of diversity and similarity when overdispersion prevails in taxonomic counts with no covariates (2019) Divino, Fabio; et al.; A1
• Left hemisphere enhancement of auditory activation in language impaired children (2019) van Bijnen, Sam; et al.; A1; OA
• Benchmark Database for Fine-Grained Image Classification of Benthic Macroinvertebrates (2018) Raitoharju, Jenni; et al.; A1; OA
• Dangerous relationships : biases in freshwater bioassessment based on observed to expected ratios (2018) Hämäläinen, Heikki; et al.; A1; OA
• The effect of automated taxa identification errors on biological indices (2017) Ärje, Johanna; et al.; A1; OA
• Understanding the statistical properties of the percent model affinity index can improve biomonitoring related decision making (2016) Ärje, Johanna; et al.; A1
• EMG, heart rate and accelerometer as estimators of energy expenditure in locomotion (2014) Tikkanen, Olli; et al.; A1
• Evaluating the performance of artificial neural networks for the classification of freshwater benthic macroinvertebrates (2014) Joutsijoki, Henry; et al.; A1