Haku
Viitteet 1-10 / 19
Dynamic Topic Modeling and Clustering : Dynamic Topic Modeling and Clustering of Occupational Health and Safety Publications
(2022)
Pro gradu -tutkielma
Pro gradu -tutkielma
In recent years, natural language processing has advanced by creating new ways of modeling text using deep neural networks. These new models have demonstrated state of-the-art performance in several natural language ...
Longitudinal Mixture Modeling With Box-Cox Transformation : The Effects of Box-Cox Transformation on Latent Class Identification in Trajectory Analysis
(2022)
Pro gradu -tutkielma
Pro gradu -tutkielma
This thesis examined Box-Cox transformation as a method to improve the performance of longitudinal mixture models with non-normal data. Mixture models are know to over-estimate the number of classes when the assumption of ...
Koneoppimisen tulevaisuus vakuutusyhtiöiden työvälineenä
(2021)
Pro gradu -tutkielma
Pro gradu -tutkielma
Vahinkovakuuttamisen perusperiaate on kattaa vakuutusmaksutuotoilla liiketoiminnan harjoittamisesta muodostuneiden kulujen lisäksi asiakkaille sattuvista vahinkotapahtumista koituneet kustannukset. Saavuttaakseen vakuutusten ...
Improving time series forecasting accuracy by ensemble methods and time series features
(2021)
Pro gradu -tutkielma
Pro gradu -tutkielma
Ensemble methods can improve prediction accuracy of machine learning models, but applying ensemble methods in time series analysis is not feasible due to high dimensionality of time series. Augmenting time series data with ...
Predicting the Building Envelope in BIM Models Using Graph Convolutional Neural Networks
(2022)
Pro gradu -tutkielma
Pro gradu -tutkielma
In recent years, Building Information Modeling (BIM) has become one of the leading techniques to maintain data from the lifespan of the building in the Architecture, Engineering and Construction industry. Compared to the ...
Modelling of a health attribute for grocery data with Bradley-Terry model
(2022)
Pro gradu -tutkielma
Pro gradu -tutkielma
A healthiness attribute for grocery data is needed for recommending healthier food choices for customers. Providing healthier choices encourages people to eat more healthily and may also put pressure on the food suppliers. ...
Fraudulent Respondent Recognition in Adolescents’ Health Survey Data : Comparison of Data Analysis Methods
(2021)
Pro gradu -tutkielma
Pro gradu -tutkielma
When responding a pseudonymous survey, the participants are supposed to answer truthfully. Nevertheless, a setting with no personal connection to the researchers opens a possibility to give false answers, if a respondent ...
Geospatial Analysis of The Spreading of COVID-19 In The United States
(2021)
Pro gradu -tutkielma
Pro gradu -tutkielma
The COVID-19 pandemic has been a big threat to public health and there is an increasing need for efficient modelling of pathogens, predicting the daily infection rates to reduce the spread of COVID-19.
The Moran’s and ...
Applying Machine Learning Methods to Analyse Articulatory Dependency of Bone Conduction Transfer Functions
(2022)
Pro gradu -tutkielma
Pro gradu -tutkielma
The bone conduction (BC) refers to the sound that propagates to the inner ear through the human tissue and especially the skull instead of the air conduction (AC) pathway through outer- and middle-ears. The BC sound is a ...
Korrespondenssianalyysin käyttö puuttuvia tietoja sisältävässä pitkittäisaineistossa
(2023)
Pro gradu -tutkielma
Pro gradu -tutkielma
Tässä työssä tutkittiin korrespondenssianalyysin käyttöä pitkittäisaineistossa, joka oli kerätty laajasta väestötutkimuksesta liittyen miesten eturauhasen terveydentilaan liittyen ja aineisto sisälsi puuttuvia tietoja. ...