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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 ...
Estimating the performance of a multiradar tracker using machine learning
(2021)
Diplomityö
Diplomityö
Multiradar tracking of aircraft is a sensor fusion problem including complicated measurement and object motion models. The accuracy of radar measurements differs significantly between bearing and range. The transformation ...
Robust Multi-Class Decision Trees
(2021)
Diplomityö
Diplomityö
As machine learning is getting deployed more and more in security critical applications, the subject of robustness of machine learning algorithms, i.e. how vulnerable a given algorithm is to inputs that are designed to ...
Image coding for machines : Deep learning based post-processing filters
(2021)
Diplomityö
Diplomityö
Machine vision tasks such as object detection and instance segmentation are becoming more and more popular these days due to the quickly increasing performance of deep neural networks. Consequently, more and more multimedia ...
Automated machine learning: Evaluating AutoML frameworks
(2021)
Diplomityö
Diplomityö
Custom Object Detection with Deep Learning and Synthetic Datasets
(2021)
Diplomityö
Diplomityö
Detecting and localizing tree trunks is a necessary component for automatic harvesting machines. This task can be split into two sub-tasks: object detection and depth estimation. Object detection is a crucial problem that ...
Applying Machine Learning Algorithms to Psychiatric Patient Data
(2021)
Pro gradu -tutkielma
Pro gradu -tutkielma
The purpose of this work is to classify data in the field of psychiatry and neurology by applying different supervised machine learning algorithms.
The work is divided into two parts. The methodogical part represents all ...
Continual Learning In Automated Audio Captioning
(2021)
Pro gradu -tutkielma
Pro gradu -tutkielma
Teaching neural network models to classify new tasks and old tasks on new domains is a process, where a common problem is the forgetting of previous tasks and/or domains. This problem is referred to as catastrophic forgetting. ...
Accurate and Fast Degradation Function Estimation for Single Image Super-Resolution
(2021)
Diplomityö
Diplomityö
Single image super-resolution is a long-lasting ill-posed problem which seeks attention from both academia and industry. The up-scaling the low-resolution images by digging out high-frequency details is still yet to be ...
Detecting Match State Changes in Ice Hockey From Positional Data
(2021)
Diplomityö
Diplomityö
This thesis aims to determine whether it is possible to utilize machine learning techniques to determine whether an ice hockey match is in a state of active play or not. As an additional requirement, the match state ...