References in zbMATH (referenced in 14 articles )

Showing results 1 to 14 of 14.
Sorted by year (citations)

  1. Brazdil, Pavel (ed.); Giraud-Carrier, Christophe (ed.): Metalearning and algorithm selection: progress, state of the art and introduction to the 2018 special issue (2018)
  2. Kordík, Pavel; Černý, Jan; Frýda, Tomáš: Discovering predictive ensembles for transfer learning and meta-learning (2018)
  3. Mihelčić, Matej; Šmuc, Tomislav: Targeted and contextual redescription set exploration (2018)
  4. Peter Wittek and Shi Gao and Ik Lim and Li Zhao: somoclu: An Efficient Parallel Library for Self-Organizing Maps (2017) not zbMATH
  5. Bernatavičienė, Jolita; Dzemyda, Gintautas; Kurasova, Olga; Marcinkevičius, Virginijus; Medvedev, Viktor; Treigys, Povilas: Cloud computing approach for intelligent visualization of multidimensional data (2016)
  6. Cuzzocrea, Alfredo; Cosulschi, Mirel; de Virgilio, Roberto: An effective and efficient MapReduce algorithm for computing BFS-based traversals of large-scale RDF graphs (2016)
  7. Paulheim, Heiko; Meusel, Robert: A decomposition of the outlier detection problem into a set of supervised learning problems (2015)
  8. Cailloux, Olivier; Tervonen, Tommi; Verhaegen, Boris; Picalausa, François: A data model for algorithmic multiple criteria decision analysis (2014)
  9. Reif, Matthias; Shafait, Faisal; Goldstein, Markus; Breuel, Thomas; Dengel, Andreas: Automatic classifier selection for non-experts (2014) ioport
  10. Jarschel, Michael; Schlosser, Daniel; Scheuring, Sven; Hoßfeld, Tobias: Gaming in the clouds: QoE and the users’ perspective (2013) ioport
  11. Baier, Daniel; Daniel, Ines; Frost, Sarah; Naundorf, Robert: Image data analysis and classification in marketing (2012)
  12. Trawiński, Bogdan; Smȩtek, Magdalena; Telec, Zbigniew; Lasota, Tadeusz: Nonparametric statistical analysis for multiple comparison of machine learning regression algorithms (2012)
  13. Smetȩk, Magdalena; Trawiński, Bogdan: Selection of heterogeneous fuzzy model ensembles using self-adaptive genetic algorithms (2011) ioport
  14. Graczyk, Magdalena; Lasota, Tadeusz; Trawiński, Bogdan: Comparative analysis of premises valuation models using KEEL, RapidMiner, and WEKA (2009) ioport