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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 ...
Real time vision-based ice hockey player detection
(2021)
Diplomityö
Diplomityö
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 ...
Robot joint type recognition using machine learning
(2020)
Diplomityö
Diplomityö
Reconfigurable robots and mountable measurement systems face attraction due to significant changes in development of wireless networks and internet of things. This research benefits cross disciplinary viewpoints to build ...
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 ...
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 ...
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