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Heilman, M., Smith, N.A.: Tree edit models for recognizing textual entailments, paraphrases,
and answers to questionsTree edit models for recognizing textual entailments, paraphrases,
and answers to questions. In: Human Language Technologies: The 2010 Annual Confer-
ence of the North American Chapter of the Association for Computational Linguistics, pp.
1011-1019. USAAssociation for Computational Linguistics, Stroudsburg (2010)
Johnson, M.: PCFG models of linguistic tree representationsPCFG models of linguistic tree
representations. Comput. Linguist. 24, 613-632 (1998)
Kamiran, F.: Discrimination-aware ClassificationDiscrimination-aware classification.
Doctoral dissertation, Eindhoven University of Technology, The Netherlands (2011)
Kamiran, F., Calders, T.: Classifying without discriminatingClassifying without discriminat-
ing. In: 2nd IEEE International Conference on Computer, Control and Communication
(IC4), pp. 1-6 (2009a)
Kamiran, F., Calders, T.: Discrimination-Aware ClassificationDiscrimination-aware classi-
fication. In: 21st Benelux Conference on Artificial Intelligence (BNAIC), pp. 333-334
(2009b)
Kamiran, F., Calders, T.: Classification with No Discrimination by Preferential Sampling-
Classification with no discrimination by preferential sampling. In: Proceedings Machine
Learning Conference of Belgium and The Netherlands, BENELEARN (2010)
Kamiran, F., Calders, T.: Data Preprocessing Techniques for Classification without Discrimi-
nationData preprocessing techniques for classification without discrimination. Knowledge
and Information Systems (2012) (to Appear)
Kamiran, F., Calders, T., Pechenizkiy, M.: Discrimination Aware Decision Tree LearningDis-
crimination aware decision tree learning Tech. Rep. No. CS 10-13. Eindhoven University
of Technolgy. 16 Faisal Kamiran, Toon Calders, and Mykola Pechenizkiy (2010a)
Kamiran, F., Calders, T., Pechenizkiy, M.: Discrimination Aware Decision Tree LearningDis-
crimination aware decision tree learning. In: IEEE International Conference on Data
Mining IEEE International Conference on Data Mining, pp. 869-874 (2010b)
Lerman, R., Yitzhaki, S.: A Note on the Calculation and Interpretation of the Gini IndexA
note on the calculation and interpretation of the gini index. Economics Letters 15(3-4),
363-368 (1984)
Levit, M., Alshawi, H., Gorin, A.L., Noth, E.: Context-sensitive evaluation and correction
of phone recognition outputContext-sensitive evaluation and correction of phone recog-
nition output. In: Proc. of the 8th European Conference on Speech Communication and
Technology, EUROSPEECH 2003, ISCA (2003)
Luong, B., Ruggieri, S., Turini, F.: k-NN as an Implementation of Situation Testing for Dis-
crimination Discovery and Preventionk-NN as an Implementation of Situation Testing for
Discrimination Discovery and Prevention. In: Proc. ACM SIGKDD International Confer-
ence on Knowledge Discovery and Data Mining, pp. 502-510 (2011)
Mazhelis, O., Zliobaite, I.e., Pechenizkiy, M.: Context-Aware Personal Route Recognition.
In: Elomaa, T., Hollmen, J., Mannila, H. (eds.) DS 2011. LNCS, vol. 6926, pp. 221-235.
Springer, Heidelberg (2011)
Morris, A., Misra, H.: Confusion matrix based posterior probabilities correctionConfusion
matrix based posterior probabilities correction Idiap-RR No. Idiap-RR-53-2002. IDIAP
(2002)
Quinlan, J.: C4. 5: programs for machine learning. Morgan Kaufmann (1993)
US Law. The US Equal Credit Opportunity Act.The US equal credit opportunity act. via: (1968),
http://www.fdic.gov/regulations/laws/rules/6500-1200.html
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