References in zbMATH (referenced in 1141 articles )

Showing results 1 to 20 of 1141.
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  1. Adams, Ben; Walter, Katharine S.; Diuk-Wasser, Maria A.: Host specialisation, immune cross-reaction and the composition of communities of co-circulating \textitBorreliastrains (2021)
  2. Ahn, Gilseung; Park, You-Jin; Hur, Sun: A membership probability-based undersampling algorithm for imbalanced data (2021)
  3. Bénard, Clément; Biau, Gérard; Da Veiga, Sébastien; Scornet, Erwan: SIRUS: stable and interpretable RUle set for classification (2021)
  4. Bruto da Costa, Antonio Anastasio; Dasgupta, Pallab: Learning temporal causal sequence relationships from real-time time-series (2021)
  5. Burkart, Nadia; Huber, Marco F.: A survey on the explainability of supervised machine learning (2021)
  6. Carrizosa, Emilio; Molero-Río, Cristina; Romero Morales, Dolores: Mathematical optimization in classification and regression trees (2021)
  7. Gan, Guojun; Ma, Chaoqun; Wu, Jianhong: Data clustering. Theory, algorithms, and applications (2021)
  8. Günlük, Oktay; Kalagnanam, Jayant; Li, Minhan; Menickelly, Matt; Scheinberg, Katya: Optimal decision trees for categorical data via integer programming (2021)
  9. Malan, Katherine M.: Online landscape analysis for guiding constraint handling in particle swarm optimisation (2021)
  10. Margot, Vincent; Baudry, Jean-Patrick; Guilloux, Frederic; Wintenberger, Olivier: Consistent regression using data-dependent coverings (2021)
  11. Ma, Zhengyu; Ryoo, Hong Seo: Spherical classification of data, a new rule-based learning method (2021)
  12. Pawlak, Tomasz P.; Litwiniuk, Bartosz: Ellipsoidal one-class constraint acquisition for quadratically constrained programming (2021)
  13. Zhang, Yishi; Zhu, Ruilin; Chen, Zhijun; Gao, Jie; Xia, De: Evaluating and selecting features via information theoretic lower bounds of feature inner correlations for high-dimensional data (2021)
  14. Aguilera, Ana; Subero, Alberto: Automatic gait classification patterns in spastic hemiplegia (2020)
  15. Beaulac, Cédric; Rosenthal, Jeffrey S.: BEST: a decision tree algorithm that handles missing values (2020)
  16. Boehmke, Brad; Greenwell, Brandon M.: Hands-on machine learning with R (2020)
  17. Boughaci, Dalila; Alkhawaldeh, Abdullah A. K.: Appropriate machine learning techniques for credit scoring and bankruptcy prediction in banking and finance: a comparative study (2020)
  18. Chelly Dagdia, Zaineb; Elouedi, Zied: A hybrid fuzzy maintained classification method based on dendritic cells (2020)
  19. De Bock, Koen W.; Coussement, Kristof; Lessmann, Stefan: Cost-sensitive business failure prediction when misclassification costs are uncertain: a heterogeneous ensemble selection approach (2020)
  20. Fujita, Hamido; Ko, Yu-Chien: A heuristic representation learning based on evidential memberships: case study of UCI-SPECTF (2020)

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