References in zbMATH (referenced in 1137 articles )

Showing results 1 to 20 of 1137.
Sorted by year (citations)

1 2 3 ... 55 56 57 next

  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. Bénard, Clément; Biau, Gérard; Da Veiga, Sébastien; Scornet, Erwan: SIRUS: stable and interpretable RUle set for classification (2021)
  3. Bruto da Costa, Antonio Anastasio; Dasgupta, Pallab: Learning temporal causal sequence relationships from real-time time-series (2021)
  4. Burkart, Nadia; Huber, Marco F.: A survey on the explainability of supervised machine learning (2021)
  5. Carrizosa, Emilio; Molero-Río, Cristina; Romero Morales, Dolores: Mathematical optimization in classification and regression trees (2021)
  6. Gan, Guojun; Ma, Chaoqun; Wu, Jianhong: Data clustering. Theory, algorithms, and applications (2021)
  7. Pawlak, Tomasz P.; Litwiniuk, Bartosz: Ellipsoidal one-class constraint acquisition for quadratically constrained programming (2021)
  8. 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)
  9. Aguilera, Ana; Subero, Alberto: Automatic gait classification patterns in spastic hemiplegia (2020)
  10. Beaulac, Cédric; Rosenthal, Jeffrey S.: BEST: a decision tree algorithm that handles missing values (2020)
  11. Boehmke, Brad; Greenwell, Brandon M.: Hands-on machine learning with R (2020)
  12. Boughaci, Dalila; Alkhawaldeh, Abdullah A. K.: Appropriate machine learning techniques for credit scoring and bankruptcy prediction in banking and finance: a comparative study (2020)
  13. Chelly Dagdia, Zaineb; Elouedi, Zied: A hybrid fuzzy maintained classification method based on dendritic cells (2020)
  14. De Bock, Koen W.; Coussement, Kristof; Lessmann, Stefan: Cost-sensitive business failure prediction when misclassification costs are uncertain: a heterogeneous ensemble selection approach (2020)
  15. Fujita, Hamido; Ko, Yu-Chien: A heuristic representation learning based on evidential memberships: case study of UCI-SPECTF (2020)
  16. Genuer, Robin; Poggi, Jean-Michel: Random forests with R (2020)
  17. Jacobs, Kayla; Itai, Alon; Wintner, Shuly: Acronyms: identification, expansion and disambiguation (2020)
  18. Khan, Zardad; Gul, Asma; Perperoglou, Aris; Miftahuddin, Miftahuddin; Mahmoud, Osama; Adler, Werner; Lausen, Berthold: Ensemble of optimal trees, random forest and random projection ensemble classification (2020)
  19. Lee, Taito; Matsushima, Shin; Yamanishi, Kenji: Grafting for combinatorial binary model using frequent itemset mining (2020)
  20. Luo, Sheng; Miao, Duoqian; Zhang, Zhifei; Zhang, Yuanjian; Hu, Shengdan: A neighborhood rough set model with nominal metric embedding (2020)

1 2 3 ... 55 56 57 next