Now showing items 1-6 of 6

  • Classifier selection with permutation tests 

    Arias Vicente, Marta; Arratia Quesada, Argimiro Alejandro; Duarte López, Ariel (IOS Press, 2017)
    Conference report
    Open Access
    This work presents a content-based recommender system for machine learning classifier algorithms. Given a new data set, a recommendation of what classifier is likely to perform best is made based on classifier performance ...
  • Marshall-Olkin extended Zipf distribution 

    Pérez Casany, Marta; Duarte López, Ariel; Prat Pérez, Arnau (Springer, 2015-12-18)
    Part of book or chapter of book
    Open Access
    Being able to generate large synthetic graphs resembling those found in the real world, is of high importance for the design of new graph algorithms and benchmarks. In this paper, we first compare several probability models ...
  • Multiple classifier performance 

    Duarte López, Ariel (Universitat Politècnica de Catalunya, 2015-10)
    Master thesis
    Open Access
  • Proceedings of the “Think Tank Hackathon’’, Big Data Training School for Life Sciences Follow-up, Ljubljana 6th – 7th February 2018 

    Schulze, Sabrina K.; Ramšak, Živa; Hoang, Yen; Zdravevski, Eftim; Pfeil, Juliane; Duarte López, Ariel; Baier, Uwe; Zagoršcak, Maja (2018-04-19)
    Article
    Open Access
    On 6th and 7th February 2018, a Think Tank took place in Ljubljana, Slovenia. It was a follow-up of the “Big Data Training School for Life Sciences” held in Uppsala, Sweden, in September 2017. The focus was on identifying ...
  • The CHARME "Advanced Big Data Training School for Life Sciences": an example of good practices for training on current bioinformatics challenges 

    Hoang, Yen; Pfeil, Juliane; Zagoršcak, Maja; Zdravevski, Eftim; Ramšak, Živa; Schulze, Sabrina K.; Papageorgiou, K.; Duarte López, Ariel; Pérez Casany, Marta (2019-02-05)
    Article
    Open Access
    The CHARME “Advanced Big Data Training School for Life Sciences” took place during 3-7 September 2018, at the Campus Nord of the Technical University of Catalonia (UPC) in Barcelona (ES). The school was organised by the ...
  • Using the Marshall-Olkin extended Zipf distribution in graph generation 

    Duarte López, Ariel; Prat Pérez, Arnau; Pérez Casany, Marta (Springer, 2015-12-18)
    Part of book or chapter of book
    Restricted access - publisher's policy
    Being able to generate large synthetic graphs resembling those found in the real world, is of high importance for the design of new graph algorithms and benchmarks. In this paper, we first compare several probability models ...