We live in a time when digitalization is taking place in all sectors. Yet for chess tournament organisers and participants, there is no modern software to satisfy their requirements. In this thesis we will analyze the ...

Statistical and computational authorship attribution is a widely researched topic in literary science, but few works deal with solving the problem when the classified text does not belong to any of the authors the model ...

This work compares two approaches to automatic preannotation of semantic class to verbs in a sentence for the purpose of adding a new language to the SynSemClass ontology. Both approaches rely on a multilingual deep learning ...

The exponential growth of genomic data calls for novel space-efficient algorithms for compression and search. State-of-the-art approaches often rely on tokenization of the data into k-mers, which are substrings of a fixed ...

When developing software, unit tests are commonly used. This thesis proposes Perf- Eval, a tool that performs performance testing in a similar way. The PerfEval tool is designed to compare the performance measurement results ...