References in zbMATH (referenced in 869 articles )

Showing results 1 to 20 of 869.
Sorted by year (citations)

1 2 3 ... 42 43 44 next

  1. Eskandari, S.; Javidi, M.M.: Online streaming feature selection using rough sets (2016)
  2. Fernández, Alberto; Elkano, Mikel; Galar, Mikel; Sanz, José Antonio; Alshomrani, Saleh; Bustince, Humberto; Herrera, Francisco: Enhancing evolutionary fuzzy systems for multi-class problems: distance-based relative competence weighting with truncated confidences (DRCW-TC) (2016)
  3. Jessup, Elizabeth; Motter, Pate; Norris, Boyana; Sood, Kanika: Performance-based numerical solver selection in the lighthouse framework (2016)
  4. Jiang, Sheng-yi; Wang, Lian-xi: Efficient feature selection based on correlation measure between continuous and discrete features (2016)
  5. Kowaliw, Taras; Doursat, René: Bias-variance decomposition in genetic programming (2016)
  6. Kumar, G.Kishor; Viswanath, P.; Rao, A.Ananda: Ensemble of randomized soft decision trees for robust classification (2016)
  7. Manukyan, Artür; Ceyhan, Elvan: Classification of imbalanced data with a geometric digraph family (2016)
  8. Mathé, Ewy (ed.); Davis, Sean (ed.): Statistical genomics. Methods and protocols (2016)
  9. Tutz, Gerhard; Schmid, Matthias: Modeling discrete time-to-event data (2016)
  10. Abulaish, Muhammad; Bhat, Sajid Y.: Classifier ensembles using structural features for spammer detection in online social networks (2015)
  11. Axelson-Fisk, Marina: Comparative gene finding. Models, algorithms and implementation (2015)
  12. Blockeel, Hendrik: Data mining: from procedural to declarative approaches (2015)
  13. Chelly, Zeineb; Elouedi, Zied: Hybridization schemes of the fuzzy dendritic cell immune binary classifier based on different fuzzy clustering techniques (2015)
  14. Didona, Diego; Felber, Pascal; Harmanci, Derin; Romano, Paolo; Schenker, Jörg: Identifying the optimal level of parallelism in transactional memory applications (2015)
  15. Gartner, Daniel; Kolisch, Rainer; Neill, Daniel B.; Padman, Rema: Machine learning approaches for early DRG classification and resource allocation (2015)
  16. Geetharamani, R.; Balasubramanian, Lakshmi: Automatic segmentation of blood vessels from retinal fundus images through image processing and data mining techniques (2015)
  17. González, Sergio; Herrera, Francisco; García, Salvador: Monotonic random forest with an ensemble pruning mechanism based on the degree of monotonicity (2015)
  18. Hothorn, Torsten: partykit: a modular toolkit for recursive partytioning in $\mathsf R$ (2015)
  19. Lambrou, Antonis; Nouretdinov, Ilia; Papadopoulos, Harris: Inductive Venn prediction (2015)
  20. Letham, Benjamin; Rudin, Cynthia; McCormick, Tyler H.; Madigan, David: Interpretable classifiers using rules and Bayesian analysis: building a better stroke prediction model (2015)

1 2 3 ... 42 43 44 next