Search results for "luokitus"

showing 10 items of 48 documents

A classification of C-Fuchsian subgroups of Picard modular groups

2017

Picar modular groupsluokitus (toiminta)matematiikkaC-Fuchsian subgroupsalgebra
researchProduct

Dysfasiakuntoutuksen muutos kahden tapausselosteen valossa

1998

Rapinin ja Allenin dysfasialuokitusdysfasiakuntoutusdysfasia ja oppimisvaikeudetdysfasia/kielihäiriöt
researchProduct

Semantic place recognition for context aware services

2012

Extracting the meaning of the most significant places, which are frequently visited by a mobile user, is a relevant problem in mobile computing. Predicting semantic meaning of such places is useful in many areas. The problem of place semantic annotation of a user location can be challenging for service providers. Awareness of user activities is very important for development of personalized applications, which can be used in health care systems, living systems, etc. Predicting location of mobile users not only enables development of high quality location-based services and applications, but also improves resource reservation in wireless networks. In this research several solutions for seman…

classificationsemantic place predictionlocation-based servicespaikkatiedotmobile computingdata mininglangaton tekniikkasemantic locationtiedonlouhintaluokitus
researchProduct

Osallistavaan ohjaukseen osallistuminen : oppilaiden ja huoltajien toiveet ohjaukselle

2016

Pro gradu –tutkielmassani selvitän Tervareitti –hankkeeseen osallistuvien oppilaiden ja heidän huoltajien toiveita hankkeesta saatavalle ohjaukselle. Tervareitti –hanke toimii Valteri -koulu Tervaväylän alaisuudessa ja sen tavoitteena on kehittää osallistava toimintamalli yläkouluikäisten ohjaukseen peruskoulun siirtymävaiheeseen. Tutkimukseni taustateoria muodostuu Tervareitti –hankkeessa käytettävän ICF-toimintakykyluokituksen pohjalta muodostetuista f-sanoista. Nämä f-sanat ovat 1) function eli toiminta, 2) family eli perhe, 3) fitness eli kunto, 4) fun eli hauskanpito, 5) friends eli ystävät ja 6) future eli tulevaisuus. Tutkimukseni aineistonkeruu tapahtui teemahaastattelujen avulla. H…

erityistä tukea tarvitseva oppilastoimintakykyluokitusICFosallisuuserityisoppilaatohjaus
researchProduct

Comparison of feature importance measures as explanations for classification models

2021

AbstractExplainable artificial intelligence is an emerging research direction helping the user or developer of machine learning models understand why models behave the way they do. The most popular explanation technique is feature importance. However, there are several different approaches how feature importances are being measured, most notably global and local. In this study we compare different feature importance measures using both linear (logistic regression with L1 penalization) and non-linear (random forest) methods and local interpretable model-agnostic explanations on top of them. These methods are applied to two datasets from the medical domain, the openly available breast cancer …

feature importanceComputer scienceGeneral Chemical EngineeringGeneral Physics and Astronomy02 engineering and technologyinterpretable modelstekoälyMachine learningcomputer.software_genreLogistic regressionDomain (software engineering)020204 information systems0202 electrical engineering electronic engineering information engineeringFeature (machine learning)General Materials ScienceGeneral Environmental Scienceluokitus (toiminta)explainable artificial intelligencebusiness.industrylogistic regressionGeneral EngineeringRandom forestkoneoppiminenTrustworthinessInjury dataGeneral Earth and Planetary Sciences020201 artificial intelligence & image processingArtificial intelligencebusinesscomputerrandom forestSN Applied Sciences
researchProduct

Euclid preparation : XXII. Selection of quiescent galaxies from mock photometry using machine learning

2023

The Euclid Space Telescope will provide deep imaging at optical and near-infrared wavelengths, along with slitless near-infrared spectroscopy, across ~15 000deg2 of the sky. Euclid is expected to detect ~12 billion astronomical sources, facilitating new insights into cosmology, galaxy evolution, and various other topics. In order to optimally exploit the expected very large dataset, appropriate methods and software tools need to be developed. Here we present a novel machine-learning-based methodology for the selection of quiescent galaxies using broadband Euclid IE, YE, JE, and HE photometry, in combination with multi-wavelength photometry from other large surveys (e.g. the Rubin LSST). The…

galaksitluokitus (toiminta)koneoppiminenphotometrygalaxiesevolutionfotometriastatisticalgeneral methodshigh-redshift
researchProduct

HRM models of online labor platforms : Strategies of market and corporate logics

2023

Studies on online labor platforms (OLPs) have revealed that OLPs can have extensive managerial control over independent workers, which affects their autonomy and precariousness. The permeability of the management makes some OLPs' roles as neutral intermediaries in labor exchanges questionable. While there are several platform work studies on the effects of human resource management (HRM) activities, earlier studies have focused more on certain types of OLP companies. Earlier OLP classifications did not make systematic distinctions between HRM activities either. This paper offers a classification to view how HRM activities manifest in OLPs. The study utilizes terms of service and webpage dat…

governance principlesluokitus (toiminta)classificationmarket logiccorporation logicGeneral Social Sciencesinstitutional logicshenkilöstöhallintoonline labor platformshuman resource (HR) managementplatform workhenkilöstöjohtaminen
researchProduct

Description of movement sensor dataset for dog behavior classification

2022

The description and results of the original investigation are found in: Dog behaviour classification with movement sensors placed on the harness and the collar, Kumpulainen, P., Valldeoriola Cardó, A., Somppi, S., Törnqvist, H., Väätäjä, H., Majaranta, P., Gizatdinova, Y., Antink, C. H., Surakka, V., V. Kujala, M., Vainio, O. & Vehkaoja, A., Aug 2021, In: Applied Animal Behaviour Science. 241, 7 p., 105393. Movement sensor data from seven static and dynamic dog behaviors (sitting, standing, lying down, trotting, walking, playing, and (treat) searching i.e. sniffing) was collected from 45 middle to large sized dogs with six degree-of-freedom movement sensors attached to the collar and the ha…

gyroscopeScience (General)Computer applications to medicine. Medical informaticsR858-859.7behavior classificationliikkeenkaappaus413 Veterinary scienceeläinten käyttäytyminenkoiradog activity classificationQ1-390mittauslaitteetMachine learningDog activity classificationData Articleluokitus (toiminta)MultidisciplinaryMovement sensor113 Computer and information sciencesGyroscopeAccelerometermovement sensoraccelerometermachine learningkoneoppiminenBehavior classificationData in Brief
researchProduct

Dangerous relationships : biases in freshwater bioassessment based on observed to expected ratios

2018

Copyright by the Ecological Society of America The ecological assessment of freshwaters is currently primarily based on biological communities and the reference condition approach (RCA). In the RCA, the communities in streams and lakes disturbed by humans are compared with communities in reference conditions with no or minimal anthropogenic influence. The currently favored rationale is using selected community metrics for which the expected values (E) for each site are typically estimated from environmental variables using a predictive model based on the reference data. The proportional differences between the observed values (O) and E are then derived, and the decision rules for status ass…

inland waters0106 biological sciencesPercentilepäätöksentekomodelling (creation related to information)010501 environmental sciencesExpected value01 natural sciencescase studylakesStatisticsviitearvotfreshwatersMathematicsevaluationEcologyEcologyBiodiversityVariance (accounting)reference valuessimulationpredictive modelsekologia6. Clean waterreference condition approachmathematical modelsEnvironmental Monitoringmallintaminenecological statusCorrection methodta1172järvetdecision makingtapaustutkimusRiversAnimalssimulointiekologinen tila0105 earth and related environmental sciencesta112bioassessmentluokitus (toiminta)010604 marine biology & hydrobiologyEcological assessmentDecision rulesisävedetInvertebratesReference data13. Climate actionta1181classification errormatemaattiset mallitarviointiQuantileEcological Applications
researchProduct

Tiedon luokittelu osana organisaation kokonaisarkkitehtuurin riskienhallintaprosessia

2017

TIIVISTELMÄ Simi, Jarmo Juhani Tiedon luokittelu osana organisaation kokonaisarkkitehtuurin riskienhallintaprosessia Jyväskylä: Jyväskylän yliopisto, 2017, 85 s. Tietojenkäsittelytiede, pro gradu -tutkielma Ohjaaja: Seppänen, Ville Tutkimuksen tavoitteena oli kehittää menetelmä, jonka avulla voidaan tunnistaa organisaation kokonaisarkkitehtuuri- tai tietojärjestelmäprojektien tietoturvallisuusvaatimukset. Menetelmän tulisi tukea liiketoimintajohdon, tietojärjestelmäarkkitehtien ja -asiantuntijoiden välistä kommunikaatiota. Menetelmän tulisi myös tukea organisaatioiden välisen viestinnän turvallisuusvaatimusten tunnistamista. Menetelmän kehitys perustui kohdejärjestelmissä käsiteltävän tiedo…

johtaminenriskienhallintakokonaisarkkitehtuuritietoturvaluokitustietojärjestelmät
researchProduct