Learning unlabeled samples without deteriorating performance is a challenge in semi-
supervised learning. In this paper, we propose a safe intuitionistic fuzzy twin support vector …

Over the past years, an increasing number of publications in information visualization,
especially within the field of visual analytics, have mentioned the term “embedding” when …

Comparing text documents is an essential task for a variety of applications within diverse
research fields, and several different methods have been developed for this. However …

Detecting references and similarities in music lyrics can be a difficult task. Crowdsourced
knowledge platforms such as Genius. can help in this process through user-annotated …

This paper describes ongoing work to quantitatively analyse the development of the Finnish
national epic Kalevala. The analysis targets both the oral poetry sources used and the …

This article presents a study of several parallel corpora of historical languages and their
translations. The aligned corpora are the result of a large crowdsourcing project, named …

Engaging in interdisciplinary projects on the intersection between visualization and
humanities research can be a challenging endeavor. Challenges can be finding valuable …

Distant viewing approaches have typically used image datasets close to the contemporary
image data used to train machine learning models. To work with images from other historical …

Qualitative thematic exploration of data by hand does not scale and researchers create and
update a personalized point of view as they explore data. As a result, machine learning (ML) …

Historical Finnic oral poetry–called runolaulu, regilaul, or Kalevalaic poetry–makes a
versatile corpus across several related languages, representing numerous genres from epic …