• AMiner Citation-Data Preprocessing for Recommender Systems on Scientific Publications 

      Stergiopoulos V., Tsianaka T., Tousidou E. (2021)
      Recommender Systems (RS) are used to find user's interested items among a huge amount of digital information, recently called Big Data, with the purpose of making valuable personalized recommendations. These systems use ...
    • MirPub v2: Towards ranking and refining miRNA publication search results 

      Kanellos I., Vlachokyriakou V., Vergoulis T., Georgakilas G., Vassiliou Y., Hatzigeorgiou A.K., Dalamagas T. (2015)
      In recent years, many articles studying microRNA (miRNA) molecules and their connection to diseases have been published. However, the wide range of literature in life sciences, raises a barrier in extracting useful information ...
    • Skyline-Based University Rankings 

      Stoupas G., Sidiropoulos A., Katsaros D., Manolopoulos Y. (2020)
      University rankings comprise a significant tool in making decisions in our modern educational process. In this paper, we propose a novel university ranking method based on the skyline operator, which is used on multi-dimensional ...
    • Solon: A holistic approach for modelling, managing and mining legal sources 

      Koniaris M., Papastefanatos G., Anagnostopoulos I. (2018)
      Recently there has been an exponential growth of the number of publicly available legal resources. Portals allowing users to search legal documents, through keyword queries, are now widespread. However, legal documents are ...
    • A supervised machine learning classification algorithm for research articles 

      Akritidis, L.; Bozanis, P. (2013)
      The issue of the automatic classification of research articles into one or more fields of science is of primary importance for scientific databases and digital libraries. A sophisticated classification strategy renders ...
    • Supervised papers classification on large-scale high-dimensional data with apache spark 

      Akritidis L., Bozanis P., Fevgas A. (2018)
      The problem of classifying a research article into one or more fields of science is of particular importance for the academic search engines and digital libraries. A robust classification algorithm offers the users a wide ...