Arctic HARE. A Machine Learning-based System for Performance Analysis of Cross-country Skiers

• Based on the outcomes of our experimentation and analysis of the DLP data under study, we develop an intelligent machine learning model that is able to predict legitimate data

In this paper, we demonstrate a data poisoning attack towards classification method of machine learning models and we also proposed a defense algorithm which makes machine

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This chapter presents the laboratory testing performed in June at Kjeller. The test environment had excellent radio conditions without terminal mobility. We used a pre-release

While the goal of the traditional machine learning classification task is to train a classifier that is able to handle out-of-sample data points, e.g., tasks such as the

The field of genomics have traditionally used some machine learning methods for the analysis of raw sequencing data (e.g. sequence clustering, annotation using HMMs and

The goal with this thesis is to explore machine learning and the possibilities of using machine learning to create a model that can predict the effect of

When the focus ceases to be comprehensive health care to the whole population living within an area and becomes instead risk allocation to individuals, members, enrollees or