Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Witschard, Daniel"'
Embeddings are powerful tools for transforming complex and unstructured data into numeric formats suitable for computational analysis tasks. In this work, we use multiple embeddings for similarity calculations to be applied in bibliometrics and scien
Externí odkaz:
http://arxiv.org/abs/2409.00478
We present a case study investigating feature descriptors in the context of the analysis of chemical multivariate ensemble data. The data of each ensemble member consists of three parts: the design parameters for each ensemble member, field data resu
Externí odkaz:
http://arxiv.org/abs/2212.03731
Autor:
Witschard, Daniel
The study of multivariate networks (MVNs, i.e., large data sets where datapoints have relations to other data points and both these relations and the pointsthemselves can have attributed data) is an important task in many different fields,such as soc
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-114998
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Natural language processing in combination with visualization can provide efficient ways to discover latent patterns of similarity which can be useful for exploring large sets of text documents. In this poster abstract, we describe the ongoing work o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28e0653133603ff3a82bd03df96feb19