0000000000441632

AUTHOR

Jenni Pulkkinen

showing 2 related works from this author

Classification and retrieval on macroinvertebrate image databases

2011

Aquatic ecosystems are continuously threatened by a growing number of human induced changes. Macroinvertebrate biomonitoring is particularly efficient in pinpointing the cause-effect structure between slow and subtle changes and their detrimental consequences in aquatic ecosystems. The greatest obstacle to implementing efficient biomonitoring is currently the cost-intensive human expert taxonomic identification of samples. While there is evidence that automated recognition techniques can match human taxa identification accuracy at greatly reduced costs, so far the development of automated identification techniques for aquatic organisms has been minimal. In this paper, we focus on advancing …

NymphAquatic OrganismsInsectaDatabases FactualComputer scienceBayesian probabilityta1172Health InformaticsMachine learningcomputer.software_genreData retrievalRiversSupport Vector MachinesImage Processing Computer-AssistedAnimalsMultilayer perceptronsEcosystemta113Network architectureBenthic macroinvertebrateta112Artificial neural networkta213business.industryBayesian networkBayes TheoremPerceptronClassificationRadial basis function networksComputer Science ApplicationsSupport vector machineBiomonitoringBayesian NetworksData miningArtificial intelligenceNeural Networks ComputerbusinesscomputerClassifier (UML)AlgorithmsEnvironmental MonitoringComputers in Biology and Medicine
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Cognitive skills, self-beliefs and task interest in children with low reading and/or arithmetic fluency

2022

This study examined the identifiability and early cognitive and motivational markers of low reading and arithmetic fluency. Comparisons of these characteristics between Finnish third graders (n = 197) with low fluency in reading, arithmetic, or both revealed, first, that the majority of third graders with low arithmetic fluency showed low arithmetic skills already at first-grade spring, whereas children with low reading fluency were identified from the second-grade fall onward. Second, all groups with low fluency showed low rapid automatized naming and counting skills across the primary school years, while in other cognitive skills these groups showed different patterns. Third, all groups w…

kognitiiviset taidotself-concept/self-efficacyminäpystyvyysSocial Psychology515 Psychologyarithmetic fluencyeducationalakoululaisetEducationreading fluencycomorbiditykielellinen kehitysDevelopmental and Educational Psychologycognitive processingmatemaattiset taidotlukihäiriötkomorbiditeetti
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