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On imbalanced classification of benthic macroinvertebrates: Metrics and loss-functions
(2020)
Kandidaatintyö
Kandidaatintyö
Aquatic biomonitoring is an integral part of assessing the state and quality of freshwater systems. An important part of biomonitoring is the identification and classification of benthic macroinvertebrates, a species group ...
Knowledge Discovery for Female Urinary Incontinence Expert System
(Tampere University PressTampereen yliopisto, 2001)
Väitöskirja
Väitöskirja
Asiantuntijajärjestelmät ovat tarkasti ongelma-alueelle rajattuja tietokoneohjelmia, joiden 'älykäs' ihmisasiantuntijan päättelyä jäljittelevä toiminta perustuu ongelmaa koskevaan tietämykseen. Tietämyksen voidaan ajatella ...
Event Classification from Video Sequence Data
(2019)
Diplomityö
Diplomityö
The process of identifying a specific event from a video is a relatively easy task for humans. However, it is challenging for a machine to perform the same task. Deep neural networks, trained on huge datasets with adequate ...
Neural networks in household investor behavior prediction
(2020)
Kandidaatintyö
Kandidaatintyö
Machine learning (ML) has been widely applied to various fields and areas, including the financial market. In this study, the behavior of active Finnish household investors is being predicted using three different neural ...
Constructing Automatic Customer Segmentation in an Institute of Higher Education
(2020)
Diplomityö
Diplomityö
Customer relationship management is practiced widely in different kind of organizations, in addition in institutes of higher educations. In this environment customer relationship management is useful even though it has its ...
Applications of machine learning in cellular base station supervision
(2020)
Diplomityö
Diplomityö
Existing research on cellular network optimization using machine learning can generally be divided into two different methodologies: Offline learning and online learning. Offline learning trains a machine learning agent ...
Online Detection of Change Points in Software Regression Test Case Execution Times
(2021)
Diplomityö
Diplomityö
In a world where the role of software has become ever more prominent in our daily lives, software testing has at the same time become an increasingly important practice. Although software testing typically involves verifying ...
Forecasting emergency department arrivals with neural networks
(2020)
Kandidaatintyö
Kandidaatintyö
Emergency departments often suffer from chronic overloading as well as seasonal spikes in number of arrivals. In this study three different Deep learning based models are used to try to predict the next days arrivals to ...
Three-factor model in deep neural networks
(2021)
Diplomityö
Diplomityö
Empirical asset pricing literature has widely recognised different factors and they are a well researched topic. The main approach in past research regarding factors in empirical asset pricing has been based on linear ...