Cost-sensitive learning bibliography
By Peter D. Turney. 2000
44 citations recorded by the source corpus.
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Tom Fawcett
- Faisal Kamiran
- Indrė Žliobaitė
- Charu C. Aggarwal
- Andrea Dal Pozzolo
- Foster J. Provost
- Toon Calders
- Nitesh V. Chawla
Citations in the corpus
- Data preprocessing techniques for classification without discrimination (2011, background): “In Cost-Sensitive and Utility-Based learning [5,12,20,28,31], it is assumed that not all types of prediction errors are equal and not all examples are as important.”
- Robust Classification for Imprecise Environments (2000, methodology): “There exist several dozen articles in which techniques for cost-sensitive learning are suggested (Turney, 1996), but few studies evaluate and compare them (Domingos, 1999; Pazzani, Merz, Murphy, Ali, Hume, & Brunk, 1994; Provost, Fawcett, & Kohavi, 1998).”
- Discrimination-aware classification (2011, background): “Turney [83] provides an online bibliography on cost-sensitive learning.”
- Quantifying explainable discrimination and removing illegal discrimination in automated decision making (2013, background): “In Cost-Sensitive and Utility-Based learning [9, 17, 31, 40, 46], it is assumed that not all types of prediction errors are equal and not all examples are as important.”
- Sequential cost-sensitive decision making with reinforcement learning (2002, background): “Various authors have noted the limitations of classic supervised learning methods when the acquired rules are used for cost-sensitive decision making (e.g., [ 13 , 4, 5, 17, 8]).”
- Adversarial classification (2004, background): “Cost-sensitive learning has been the object of substantial study in the KDD literature [1, 27].”
- Learning and making decisions when costs and probabilities are both unknown (2001, background): “Turney [22] provides a bibliography of this research.”
- MetaCost: a general method for making classifiers cost-sensitive (1999, background): “(Some of these will be discussed in the section on related work; Turney [25] provides an online bibliography on the topic.”
- A Simple Generalisation of the Area Under the ROC Curve for Multiple Class Classification Problems (2001, background): “Typically, however, these costs are difficult to determine (e.g., see Bradley, 1997; Provost, Fawcett, & Kohavi, 1998; Adams & Hand, 1999, 2000) and the references in Turney (1996).”