References in zbMATH (referenced in 24 articles )

Showing results 1 to 20 of 24.
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  1. Urrutia, Patrick; Wren, David; Vogiatzis, Chrysafis; Yoshida, Ruriko: SARS-CoV-2 dissemination using a network of the US counties (2022)
  2. Yazici, Ibrahim; Beyca, Omer Faruk; Gurcan, Omer Faruk; Zaim, Halil; Delen, Dursun; Zaim, Selim: A comparative analysis of machine learning techniques and fuzzy analytic hierarchy process to determine the tacit knowledge criteria (2022)
  3. 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)
  4. Birialtsev, E. V.; Galimov, M. R.; Demidov, D. E.; Elizarov, A. M.: Comprehensive Internet software platform for implementation of digital projects (2021)
  5. Żogała-Siudem, Barbara; Jaroszewicz, Szymon: Fast stepwise regression based on multidimensional indexes (2021)
  6. Zöller, Marc-André; Huber, Marco F.: Benchmark and survey of automated machine learning frameworks (2021)
  7. Marjai, Péter; Kiss, Attila: Efficiency centrality in time-varying graphs (2020)
  8. Adam Gudyś, Marek Sikora, Łukasz Wróbel: RuleKit: A Comprehensive Suite for Rule-Based Learning (2019) arXiv
  9. 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)
  10. Dzemyda, Gintautas; Kurasova, Olga; Medvedev, Viktor; Dzemydaitė, Giedrė: Visualization of data: methods, software, and applications (2019)
  11. Brazdil, Pavel (ed.); Giraud-Carrier, Christophe (ed.): Metalearning and algorithm selection: progress, state of the art and introduction to the 2018 special issue (2018)
  12. Mihelčić, Matej; Šmuc, Tomislav: Targeted and contextual redescription set exploration (2018)
  13. Peter Wittek and Shi Gao and Ik Lim and Li Zhao: somoclu: An Efficient Parallel Library for Self-Organizing Maps (2017) not zbMATH
  14. Tizpaz-Niari, Saeid; Černý, Pavol; Chang, Bor-Yuh Evan; Sankaranarayanan, Sriram; Trivedi, Ashutosh: Discriminating traces with time (2017)
  15. Bernatavičienė, Jolita; Dzemyda, Gintautas; Kurasova, Olga; Marcinkevičius, Virginijus; Medvedev, Viktor; Treigys, Povilas: Cloud computing approach for intelligent visualization of multidimensional data (2016)
  16. Cuzzocrea, Alfredo; Cosulschi, Mirel; de Virgilio, Roberto: An effective and efficient MapReduce algorithm for computing BFS-based traversals of large-scale RDF graphs (2016)
  17. Paulheim, Heiko; Meusel, Robert: A decomposition of the outlier detection problem into a set of supervised learning problems (2015)
  18. Cailloux, Olivier; Tervonen, Tommi; Verhaegen, Boris; Picalausa, François: A data model for algorithmic multiple criteria decision analysis (2014)
  19. Reif, Matthias; Shafait, Faisal; Goldstein, Markus; Breuel, Thomas; Dengel, Andreas: Automatic classifier selection for non-experts (2014) ioport
  20. Jarschel, Michael; Schlosser, Daniel; Scheuring, Sven; Hoßfeld, Tobias: Gaming in the clouds: QoE and the users’ perspective (2013) ioport

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