Time series classification is an increasing research topic due to the vast amount of time
series data that is being created over a wide variety of fields. The particularity of the data …

Poultry farms are an important contributor to the human food chain. Worldwide, humankind
keeps an enormous number of domesticated birds (eg chickens) for their eggs and their …

Online streaming platforms have become the most important method of music consumption.
Most streaming platforms provide tools to assess the popularity of a song by means of …

In several real-world classification problems it can be impractical to collect samples from
classes other than the one of interest, hence the need for classifiers trained on a single …

Poultry farming is crucial to feeding the world's growing population. Birds' abnormal
behaviour can harm the birds, and disease detection relies on poultry behaviour. Integrating …

Ten years ago, linear models were applied in various domains. Before application of the
algorithms, several current studies extracted features presumed to represent parochial …

Online streaming platforms have become one of the most important forms of music
consumption. Most streaming platforms provide tools to assess the popularity of a song in …

Seismic monitoring systems sift through seismograms in real-time, searching for target
events, such as underground explosions. In this monitoring system, a burst of aftershocks …

Abstract Deep Convolutional Neural Networks (CNNs) have been successfully used in
different applications, including image recognition. Time series data, which are generated in …

This thesis includes 3 contributions of different types to the area of supervised time series
classification, a growing field of research due to the amount of time series collected daily in a …