References in zbMATH (referenced in 64 articles )

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  1. Höppner, Sebastiaan; Baesens, Bart; Verbeke, Wouter; Verdonck, Tim: Instance-dependent cost-sensitive learning for detecting transfer fraud (2022)
  2. Kim, Min-Ho; Lee, Jea-Young: How to construct a nomogram for hypertension using complex sampling data from Korean adults (2022)
  3. Silva, Diego M. B.; Pereira, Gustavo H. A.; Magalhães, Tiago M.: A class of categorization methods for credit scoring models (2022)
  4. Başoğlu Kabran, Fatma; Ünlü, Kamil Demirberk: A two-step machine learning approach to predict S&P 500 bubbles (2021)
  5. Civitelli, Enrico; Lapucci, Matteo; Schoen, Fabio; Sortino, Alessio: An effective procedure for feature subset selection in logistic regression based on information criteria (2021)
  6. Gunnarsson, Björn Rafn; vanden Broucke, Seppe; Baesens, Bart; Óskarsdóttir, María; Lemahieu, Wilfried: Deep learning for credit scoring: do or don’t? (2021)
  7. Krasanakis, Emmanouil; Symeonidis, Andreas: Defining behaviorizeable relations to enable inference in semi-automatic program synthesis (2021)
  8. Pinto, Vimukthini; Sooriyarachchi, Roshini: Comparison of methods of estimation for a goodness of fit test -- an analytical and simulation study (2021)
  9. Whitaker, T.; Beranger, B.; Sisson, S. A.: Logistic regression models for aggregated data (2021)
  10. Yu, Peiran; Pong, Ting Kei; Lu, Zhaosong: Convergence rate analysis of a sequential convex programming method with line search for a class of constrained difference-of-convex optimization problems (2021)
  11. Yu, Tengchao; Wang, Hongqiao; Li, Jinglai: Maximum conditional entropy Hamiltonian Monte Carlo sampler (2021)
  12. Zhang, Xu; Tian, Yahui; Guan, Guoyu; Gel, Yulia R.: Depth-based classification for relational data with multiple attributes (2021)
  13. Zhu, Xuening; Li, Feng; Wang, Hansheng: Least-square approximation for a distributed system (2021)
  14. Brentnall, Adam R.; Cuzick, Jack: Risk models for breast cancer and their validation (2020)
  15. Cui, Chunfeng; Zhang, Kaiqi; Daulbaev, Talgat; Gusak, Julia; Oseledets, Ivan; Zhang, Zheng: Active subspace of neural networks: structural analysis and universal attacks (2020)
  16. Li, Yong; Asar, Yasin; Wu, Jibo: On the stochastic restricted Liu estimator in logistic regression model (2020)
  17. McManus, Scott; Rahman, Azizur; Horta, Ana; Coombes, Jacqueline: Applied Bayesian modeling for assessment of interpretation uncertainty in spatial domains (2020)
  18. Metulini, Rodolfo; Le Carre, Mael: Measuring sport performances under pressure by classification trees with application to basketball shooting (2020)
  19. Naka, Poontavika; Boado-Penas, María del Carmen; Lanot, Gauthier: A multiple state model for the working-age disabled population using cross-sectional data (2020)
  20. Orozco-Acosta, Erick; Llinás-Solano, Humberto; Fonseca-Rodríguez, Javier: Convergence theorems in multinomial saturated and logistic models (2020)

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