Katerina Gkirtzou

TL;DR: A novel algorithm for identifying the start position of mature miRNA(s) produced by miRNA precursors is described, which has significantly better performance than two existing approaches and provides new insights about the potential use of specific sequence/structural information as recognition signals for Dicer processing.

TL;DR: This work combines both analytical and experimental techniques to show that SSCprofiler is a highly accurate tool which can be used to identify novel miRNA gene candidates in the human genome.

TL;DR: The European Language Grid (ELG) project addresses this fragmentation by establishing the ELG as the primary platform for LT in Europe and will boost the Multilingual Digital Single Market towards a thriving European LT community, creating new jobs and opportunities.

TL;DR: ELG-SHARE is presented, a rich metadata schema catering for the description of Language Resources and Technologies (processing and generation services and tools, models, corpora, term lists, etc.), as well as related entities (e.g., organizations, projects, supporting documents, etc.).

TL;DR: This work considers sparse regularization in both the regression and classification settings and shows that in many cases, use of the k-support norm leads to better predictive performance, solution stability, and interpretability as compared to other standard approaches.