Ekaterina Borisova

ORCID: 0000-0002-3447-9860
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About
Contact & Profiles
Research Areas
  • Management and Reproducibility of Scientific Workflows
  • Process Fault Detection and Diagnosis in Industries
  • Natural Language Processing
  • Automatic Keyword Extraction from Textual Data
  • Biomedical Ontologies and Text Mining
  • Mathematical Information Retrieval and Search
  • Multi-label Text Classification in Machine Learning
  • Data Sharing and Stewardship in Science
  • Digital Humanities in Literary Studies
  • Data Quality Assessment and Improvement
  • Formation of Common Digital Space of Scientific Knowledge

Deutsches Forschungsnetz
2024

German Research Centre for Artificial Intelligence
2023-2024

Aarhus University
2023

We present novel insights into trade in amphorae-borne products over a 550-year period Germania along the frontier of Roman Empire, derived through probabilistic aoristic methods to study temporal changes archaeological materials. Our data analysis reveals highly detailed differential patterns consumption and production within German market. show how connections far-flung regions such as Eastern Mediterranean or Iberian Peninsula wax wane time, local producers start compete with these...

10.1371/journal.pone.0279382 article EN cc-by PLoS ONE 2023-01-11

<title>Abstract</title> This paper presents novel insights into the long-term chronological patterns related to distribution and consumption of amphora-borne foodstuffs in Italy. The study specifically focuses on wine, olive oil, fish sauces, both produced locally imported from provinces. Notably, it contributes significantly our understanding Roman economy by revealing significant changes these over time a scale that was previously unknown. One key findings analysis is demonstration...

10.21203/rs.3.rs-4748698/v1 preprint EN cc-by Research Square (Research Square) 2024-08-12

In the past years, scientific research in Data Science and Artificial Intelligence has witnessed vast progress. The number of published papers digital objects (data, code, models) is growing exponentially. However, not all these artifacts are findable, accessible, interoperable reusable (FAIR), contributing to a rather low level reproducibility experimental findings reported scholarly publications (reproducibility crisis). this paper, we focus on Open best practices, i.e., set...

10.52825/cordi.v1i.299 article EN cc-by Proceedings of the Conference on Research Data Infrastructure 2023-09-07

The article summarizes the twenty years of development library legislation Federal subjects Russian Federation and assesses its contemporary state.

10.25281/0869-608x-2014-0-6-28-32 article EN Bibliotekovedenie [Russian Journal of Library Science] 2014-12-28
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