References in zbMATH (referenced in 20 articles )

Showing results 1 to 20 of 20.
Sorted by year (citations)

  1. Ahmed, Imtiaz; Hu, Xia Ben; Acharya, Mithun P.; Ding, Yu: Neighborhood structure assisted non-negative matrix factorization and its application in unsupervised point-wise anomaly detection (2021)
  2. Zöller, Marc-André; Huber, Marco F.: Benchmark and survey of automated machine learning frameworks (2021)
  3. Marjai, Péter; Kiss, Attila: Efficiency centrality in time-varying graphs (2020)
  4. Adam Gudyś, Marek Sikora, Łukasz Wróbel: RuleKit: A Comprehensive Suite for Rule-Based Learning (2019) arXiv
  5. Casalicchio, Giuseppe; Bossek, Jakob; Lang, Michel; Kirchhoff, Dominik; Kerschke, Pascal; Hofner, Benjamin; Seibold, Heidi; Vanschoren, Joaquin; Bischl, Bernd: \textttOpenML: an \textttRpackage to connect to the machine learning platform openml (2019)
  6. Dzemyda, Gintautas; Kurasova, Olga; Medvedev, Viktor; Dzemydaitė, Giedrė: Visualization of data: methods, software, and applications (2019)
  7. Brazdil, Pavel (ed.); Giraud-Carrier, Christophe (ed.): Metalearning and algorithm selection: progress, state of the art and introduction to the 2018 special issue (2018)
  8. Mihelčić, Matej; Šmuc, Tomislav: Targeted and contextual redescription set exploration (2018)
  9. Peter Wittek and Shi Gao and Ik Lim and Li Zhao: somoclu: An Efficient Parallel Library for Self-Organizing Maps (2017) not zbMATH
  10. Tizpaz-Niari, Saeid; Černý, Pavol; Chang, Bor-Yuh Evan; Sankaranarayanan, Sriram; Trivedi, Ashutosh: Discriminating traces with time (2017)
  11. Bernatavičienė, Jolita; Dzemyda, Gintautas; Kurasova, Olga; Marcinkevičius, Virginijus; Medvedev, Viktor; Treigys, Povilas: Cloud computing approach for intelligent visualization of multidimensional data (2016)
  12. Cuzzocrea, Alfredo; Cosulschi, Mirel; de Virgilio, Roberto: An effective and efficient MapReduce algorithm for computing BFS-based traversals of large-scale RDF graphs (2016)
  13. Paulheim, Heiko; Meusel, Robert: A decomposition of the outlier detection problem into a set of supervised learning problems (2015)
  14. Cailloux, Olivier; Tervonen, Tommi; Verhaegen, Boris; Picalausa, François: A data model for algorithmic multiple criteria decision analysis (2014)
  15. Reif, Matthias; Shafait, Faisal; Goldstein, Markus; Breuel, Thomas; Dengel, Andreas: Automatic classifier selection for non-experts (2014) ioport
  16. Jarschel, Michael; Schlosser, Daniel; Scheuring, Sven; Hoßfeld, Tobias: Gaming in the clouds: QoE and the users’ perspective (2013) ioport
  17. Baier, Daniel; Daniel, Ines; Frost, Sarah; Naundorf, Robert: Image data analysis and classification in marketing (2012)
  18. Trawiński, Bogdan; Smȩtek, Magdalena; Telec, Zbigniew; Lasota, Tadeusz: Nonparametric statistical analysis for multiple comparison of machine learning regression algorithms (2012)
  19. Smetȩk, Magdalena; Trawiński, Bogdan: Selection of heterogeneous fuzzy model ensembles using self-adaptive genetic algorithms (2011) ioport
  20. Graczyk, Magdalena; Lasota, Tadeusz; Trawiński, Bogdan: Comparative analysis of premises valuation models using KEEL, RapidMiner, and WEKA (2009) ioport