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L Elisa Celis, Lingxiao Huang, Vijay Keswani, and Nisheeth K Vishnoi. 2019. Classification with fairness constraints: A meta-algorithm with provable guarantees. In Proceedings of the conference on fairness, accountability, and transparency. 319\u2013328."},{"key":"#cr-split#-e_1_3_2_2_15_1.1","doi-asserted-by":"crossref","unstructured":"A. Charnes and W.W. Cooper. 1962. Programming with linear fractional functionals. Naval Research Logistics Quarterly 9(3-4) (1962) 181-186. https:\/\/doi.org\/10.1002\/nav.3800090303 10.1002\/nav.3800090303","DOI":"10.1002\/nav.3800090303"},{"key":"#cr-split#-e_1_3_2_2_15_1.2","doi-asserted-by":"crossref","unstructured":"A. Charnes and W.W. Cooper. 1962. Programming with linear fractional functionals. 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In proceedings of the 21th ACM SIGKDD international conference on knowledge discovery and data mining. 259\u2013268."},{"key":"e_1_3_2_2_24_1","volume-title":"On the (im) possibility of fairness. arXiv preprint arXiv:1609.07236","author":"Friedler Sorelle A","year":"2016","unstructured":"Sorelle A Friedler , Carlos Scheidegger , and Suresh Venkatasubramanian . 2016. On the (im) possibility of fairness. arXiv preprint arXiv:1609.07236 ( 2016 ). Sorelle A Friedler, Carlos Scheidegger, and Suresh Venkatasubramanian. 2016. On the (im) possibility of fairness. arXiv preprint arXiv:1609.07236 (2016)."},{"key":"e_1_3_2_2_25_1","volume-title":"Proceedings of the conference on fairness, accountability, and transparency. 329\u2013338","author":"Friedler Sorelle A","year":"2019","unstructured":"Sorelle A Friedler , Carlos Scheidegger , Suresh Venkatasubramanian , Sonam Choudhary , Evan P Hamilton , and Derek Roth . 2019 . A comparative study of fairness-enhancing interventions in machine learning . In Proceedings of the conference on fairness, accountability, and transparency. 329\u2013338 . Sorelle A Friedler, Carlos Scheidegger, Suresh Venkatasubramanian, Sonam Choudhary, Evan P Hamilton, and Derek Roth. 2019. A comparative study of fairness-enhancing interventions in machine learning. In Proceedings of the conference on fairness, accountability, and transparency. 329\u2013338."},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1179\/caj.1969.6.1.21","article-title":"The accuracy of area measurement by point counting techniques","volume":"6","author":"Frolov YS","year":"1969","unstructured":"YS Frolov and DH Maling . 1969 . The accuracy of area measurement by point counting techniques . The Cartographic Journal 6 , 1 (1969), 21 \u2013 35 . YS Frolov and DH Maling. 1969. The accuracy of area measurement by point counting techniques. The Cartographic Journal 6, 1 (1969), 21\u201335.","journal-title":"The Cartographic Journal"},{"key":"e_1_3_2_2_27_1","volume-title":"Predictably unequal? the effects of machine learning on credit markets. The Effects of Machine Learning on Credit Markets (October 1","author":"Fuster Andreas","year":"2020","unstructured":"Andreas Fuster , Paul Goldsmith-Pinkham , Tarun Ramadorai , and Ansgar Walther . 2020. Predictably unequal? the effects of machine learning on credit markets. The Effects of Machine Learning on Credit Markets (October 1 , 2020 ) (2020). Andreas Fuster, Paul Goldsmith-Pinkham, Tarun Ramadorai, and Ansgar Walther. 2020. Predictably unequal? the effects of machine learning on credit markets. The Effects of Machine Learning on Credit Markets (October 1, 2020) (2020)."},{"key":"e_1_3_2_2_28_1","unstructured":"LLC Gurobi Optimization. 2022. Gurobi Optimizer Reference Manual. (2022). https:\/\/www.gurobi.com\/  LLC Gurobi Optimization. 2022. Gurobi Optimizer Reference Manual. (2022). https:\/\/www.gurobi.com\/"},{"key":"e_1_3_2_2_29_1","unstructured":"Olena Hankivsky. 2022. INTERSECTIONALITY 101. (2022).  Olena Hankivsky. 2022. INTERSECTIONALITY 101. (2022)."},{"key":"e_1_3_2_2_30_1","volume-title":"Equality of opportunity in supervised learning. Advances in neural information processing systems 29","author":"Hardt Moritz","year":"2016","unstructured":"Moritz Hardt , Eric Price , and Nati Srebro . 2016. Equality of opportunity in supervised learning. Advances in neural information processing systems 29 ( 2016 ). Moritz Hardt, Eric Price, and Nati Srebro. 2016. Equality of opportunity in supervised learning. Advances in neural information processing systems 29 (2016)."},{"key":"e_1_3_2_2_31_1","volume-title":"Pushing the limits of fairness impossibility: Who\u2019s the fairest of them all?arXiv preprint arXiv:2208.12606","author":"Hsu Brian","year":"2022","unstructured":"Brian Hsu , Rahul Mazumder , Preetam Nandy , and Kinjal Basu . 2022. Pushing the limits of fairness impossibility: Who\u2019s the fairest of them all?arXiv preprint arXiv:2208.12606 ( 2022 ). Brian Hsu, Rahul Mazumder, Preetam Nandy, and Kinjal Basu. 2022. Pushing the limits of fairness impossibility: Who\u2019s the fairest of them all?arXiv preprint arXiv:2208.12606 (2022)."},{"key":"e_1_3_2_2_32_1","unstructured":"Qian Hu and Huzefa Rangwala. 2020. Towards Fair Educational Data Mining: A Case Study on Detecting At-Risk Students.https:\/\/eric.ed.gov\/?id=ED608050  Qian Hu and Huzefa Rangwala. 2020. 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IEEE, 1\u20136.","author":"Kamiran Faisal","year":"2009","unstructured":"Faisal Kamiran and Toon Calders . 2009 . Classifying without discriminating . In 2009 2nd international conference on computer, control and communication. IEEE, 1\u20136. Faisal Kamiran and Toon Calders. 2009. Classifying without discriminating. In 2009 2nd international conference on computer, control and communication. IEEE, 1\u20136."},{"key":"e_1_3_2_2_35_1","volume-title":"Proc. 19th Machine Learning Conf. Belgium and The Netherlands","volume":"1","author":"Kamiran Faisal","year":"2010","unstructured":"Faisal Kamiran and Toon Calders . 2010 . Classification with no discrimination by preferential sampling . In Proc. 19th Machine Learning Conf. Belgium and The Netherlands , Vol. 1 . Citeseer. Faisal Kamiran and Toon Calders. 2010. Classification with no discrimination by preferential sampling. In Proc. 19th Machine Learning Conf. Belgium and The Netherlands, Vol. 1. Citeseer."},{"key":"e_1_3_2_2_36_1","volume-title":"Data preprocessing techniques for classification without discrimination. Knowledge and information systems 33, 1","author":"Kamiran Faisal","year":"2012","unstructured":"Faisal Kamiran and Toon Calders . 2012. Data preprocessing techniques for classification without discrimination. Knowledge and information systems 33, 1 ( 2012 ), 1\u201333. Faisal Kamiran and Toon Calders. 2012. Data preprocessing techniques for classification without discrimination. Knowledge and information systems 33, 1 (2012), 1\u201333."},{"key":"e_1_3_2_2_37_1","volume-title":"Inherent Trade-Offs in the Fair Determination of Risk Scores. In 8th Innovations in Theoretical Computer Science Conference, ITCS 2017","volume":"23","author":"Kleinberg Jon M.","year":"2017","unstructured":"Jon M. Kleinberg , Sendhil Mullainathan , and Manish Raghavan . 2017 . Inherent Trade-Offs in the Fair Determination of Risk Scores. In 8th Innovations in Theoretical Computer Science Conference, ITCS 2017 , January 9-11, 2017, Berkeley, CA, USA(LIPIcs , Vol. 67), Christos H. Papadimitriou (Ed.). Schloss Dagstuhl - Leibniz-Zentrum f\u00fcr Informatik, 43:1\u201343: 23 . https:\/\/doi.org\/10.4230\/LIPIcs.ITCS.2017.43 10.4230\/LIPIcs.ITCS.2017.43 Jon M. Kleinberg, Sendhil Mullainathan, and Manish Raghavan. 2017. Inherent Trade-Offs in the Fair Determination of Risk Scores. In 8th Innovations in Theoretical Computer Science Conference, ITCS 2017, January 9-11, 2017, Berkeley, CA, USA(LIPIcs, Vol. 67), Christos H. Papadimitriou (Ed.). Schloss Dagstuhl - Leibniz-Zentrum f\u00fcr Informatik, 43:1\u201343:23. https:\/\/doi.org\/10.4230\/LIPIcs.ITCS.2017.43"},{"key":"e_1_3_2_2_38_1","volume-title":"Varga","author":"Kozodoi Nikita","year":"2021","unstructured":"Nikita Kozodoi and Tibor V . Varga . 2021 . Algorithmic Fairness Metrics. https:\/\/CRAN.R-project.org\/package=fairness R package version 1.2.2. Nikita Kozodoi and Tibor V. Varga. 2021. Algorithmic Fairness Metrics. https:\/\/CRAN.R-project.org\/package=fairness R package version 1.2.2."},{"key":"e_1_3_2_2_39_1","volume-title":"MACHINE LEARNING IN EDUCATION-A SURVEY OF CURRENT RESEARCH TRENDS.Annals of DAAAM & Proceedings 29","author":"Ku\u010dak Danijel","year":"2018","unstructured":"Danijel Ku\u010dak , Vedran Juri\u010di\u0107 , and Goran \u0110ambi\u0107 . 2018 . MACHINE LEARNING IN EDUCATION-A SURVEY OF CURRENT RESEARCH TRENDS.Annals of DAAAM & Proceedings 29 (2018). Danijel Ku\u010dak, Vedran Juri\u010di\u0107, and Goran \u0110ambi\u0107. 2018. MACHINE LEARNING IN EDUCATION-A SURVEY OF CURRENT RESEARCH TRENDS.Annals of DAAAM & Proceedings 29 (2018)."},{"key":"e_1_3_2_2_40_1","volume-title":"The achievement gap: What early childhood educators need to know. Texas Child Care Quarterly","author":"Langham Barbara A","year":"2009","unstructured":"Barbara A Langham . 2009. The achievement gap: What early childhood educators need to know. Texas Child Care Quarterly ( 2009 ), 14\u201316. Barbara A Langham. 2009. The achievement gap: What early childhood educators need to know. Texas Child Care Quarterly (2009), 14\u201316."},{"key":"e_1_3_2_2_41_1","volume-title":"Detecting racial bias in algorithms and machine learning. Journal of Information, Communication and Ethics in Society","author":"Lee Nicol Turner","year":"2018","unstructured":"Nicol Turner Lee . 2018. Detecting racial bias in algorithms and machine learning. Journal of Information, Communication and Ethics in Society ( 2018 ). Nicol Turner Lee. 2018. Detecting racial bias in algorithms and machine learning. Journal of Information, Communication and Ethics in Society (2018)."},{"key":"e_1_3_2_2_42_1","volume-title":"On some variants of the Gauss circle problem. arXiv preprint arXiv:1704.02376","author":"Lowry-Duda David","year":"2017","unstructured":"David Lowry-Duda . 2017. On some variants of the Gauss circle problem. arXiv preprint arXiv:1704.02376 ( 2017 ). David Lowry-Duda. 2017. On some variants of the Gauss circle problem. arXiv preprint arXiv:1704.02376 (2017)."},{"key":"e_1_3_2_2_43_1","volume-title":"compound and intersectional discrimination: Bringing the experiences of the most marginalized to the fore","author":"Makkonen Timo","year":"2002","unstructured":"Timo Makkonen . 2002. Multiple , compound and intersectional discrimination: Bringing the experiences of the most marginalized to the fore . Institute for Human Rights, \u00c5bo Akademi University ( 2002 ). Timo Makkonen. 2002. Multiple, compound and intersectional discrimination: Bringing the experiences of the most marginalized to the fore. Institute for Human Rights, \u00c5bo Akademi University (2002)."},{"key":"e_1_3_2_2_44_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3457607","article-title":"A survey on bias and fairness in machine learning","volume":"54","author":"Mehrabi Ninareh","year":"2021","unstructured":"Ninareh Mehrabi , Fred Morstatter , Nripsuta Saxena , Kristina Lerman , and Aram Galstyan . 2021 . A survey on bias and fairness in machine learning . ACM Computing Surveys (CSUR) 54 , 6 (2021), 1 \u2013 35 . Ninareh Mehrabi, Fred Morstatter, Nripsuta Saxena, Kristina Lerman, and Aram Galstyan. 2021. A survey on bias and fairness in machine learning. ACM Computing Surveys (CSUR) 54, 6 (2021), 1\u201335.","journal-title":"ACM Computing Surveys (CSUR)"},{"key":"e_1_3_2_2_45_1","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1146\/annurev-statistics-042720-125902","article-title":"Algorithmic fairness: Choices, assumptions, and definitions","volume":"8","author":"Mitchell Shira","year":"2021","unstructured":"Shira Mitchell , Eric Potash , Solon Barocas , Alexander D\u2019Amour , and Kristian Lum . 2021 . Algorithmic fairness: Choices, assumptions, and definitions . Annual Review of Statistics and Its Application 8 (2021), 141 \u2013 163 . Shira Mitchell, Eric Potash, Solon Barocas, Alexander D\u2019Amour, and Kristian Lum. 2021. Algorithmic fairness: Choices, assumptions, and definitions. Annual Review of Statistics and Its Application 8 (2021), 141\u2013163.","journal-title":"Annual Review of Statistics and Its Application"},{"key":"e_1_3_2_2_46_1","volume-title":"2022 ACM Conference on Fairness, Accountability, and Transparency. 715\u2013725","author":"Nandy Preetam","year":"2022","unstructured":"Preetam Nandy , Cyrus Diciccio , Divya Venugopalan , Heloise Logan , Kinjal Basu , and Noureddine El Karoui . 2022 . Achieving Fairness via Post-Processing in Web-Scale Recommender Systems . In 2022 ACM Conference on Fairness, Accountability, and Transparency. 715\u2013725 . Preetam Nandy, Cyrus Diciccio, Divya Venugopalan, Heloise Logan, Kinjal Basu, and Noureddine El Karoui. 2022. Achieving Fairness via Post-Processing in Web-Scale Recommender Systems. In 2022 ACM Conference on Fairness, Accountability, and Transparency. 715\u2013725."},{"key":"e_1_3_2_2_47_1","unstructured":"Safiya Umoja Noble. 2018. Algorithms of oppression: How search engines reinforce racism. nyu Press.  Safiya Umoja Noble. 2018. Algorithms of oppression: How search engines reinforce racism. nyu Press."},{"key":"e_1_3_2_2_48_1","volume-title":"Dissecting racial bias in an algorithm used to manage the health of populations. Science 366, 6464","author":"Obermeyer Ziad","year":"2019","unstructured":"Ziad Obermeyer , Brian Powers , Christine Vogeli , and Sendhil Mullainathan . 2019. Dissecting racial bias in an algorithm used to manage the health of populations. Science 366, 6464 ( 2019 ), 447\u2013453. Ziad Obermeyer, Brian Powers, Christine Vogeli, and Sendhil Mullainathan. 2019. Dissecting racial bias in an algorithm used to manage the health of populations. Science 366, 6464 (2019), 447\u2013453."},{"key":"e_1_3_2_2_49_1","volume-title":"On fairness and calibration. Advances in neural information processing systems 30","author":"Pleiss Geoff","year":"2017","unstructured":"Geoff Pleiss , Manish Raghavan , Felix Wu , Jon Kleinberg , and Kilian Q Weinberger . 2017. On fairness and calibration. Advances in neural information processing systems 30 ( 2017 ). Geoff Pleiss, Manish Raghavan, Felix Wu, Jon Kleinberg, and Kilian Q Weinberger. 2017. On fairness and calibration. Advances in neural information processing systems 30 (2017)."},{"key":"e_1_3_2_2_50_1","doi-asserted-by":"crossref","first-page":"896","DOI":"10.1038\/s42256-021-00396-x","article-title":"Empirical observation of negligible fairness\u2013accuracy trade-offs in machine learning for public policy","volume":"3","author":"Rodolfa Kit T","year":"2021","unstructured":"Kit T Rodolfa , Hemank Lamba , and Rayid Ghani . 2021 . Empirical observation of negligible fairness\u2013accuracy trade-offs in machine learning for public policy . Nature Machine Intelligence 3 , 10 (2021), 896 \u2013 904 . Kit T Rodolfa, Hemank Lamba, and Rayid Ghani. 2021. Empirical observation of negligible fairness\u2013accuracy trade-offs in machine learning for public policy. Nature Machine Intelligence 3, 10 (2021), 896\u2013904.","journal-title":"Nature Machine Intelligence"},{"key":"e_1_3_2_2_51_1","volume-title":"Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency. 142\u2013153","author":"Rodolfa Kit T","year":"2020","unstructured":"Kit T Rodolfa , Erika Salomon , Lauren Haynes , Iv\u00e1n Higuera Mendieta , Jamie Larson , and Rayid Ghani . 2020 . Case study: predictive fairness to reduce misdemeanor recidivism through social service interventions . In Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency. 142\u2013153 . Kit T Rodolfa, Erika Salomon, Lauren Haynes, Iv\u00e1n Higuera Mendieta, Jamie Larson, and Rayid Ghani. 2020. Case study: predictive fairness to reduce misdemeanor recidivism through social service interventions. In Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency. 142\u2013153."},{"key":"#cr-split#-e_1_3_2_2_52_1.1","unstructured":"Lucas Rosenblatt and R. Teal Witter. 2022. Counterfactual Fairness Is Basically Demographic Parity. https:\/\/doi.org\/10.48550\/ARXIV.2208.03843 10.48550\/ARXIV.2208.03843"},{"key":"#cr-split#-e_1_3_2_2_52_1.2","unstructured":"Lucas Rosenblatt and R. Teal Witter. 2022. Counterfactual Fairness Is Basically Demographic Parity. https:\/\/doi.org\/10.48550\/ARXIV.2208.03843"},{"key":"e_1_3_2_2_53_1","volume-title":"Towards the right kind of fairness in AI. arXiv preprint arXiv:2102.08453","author":"Ruf Boris","year":"2021","unstructured":"Boris Ruf and Marcin Detyniecki . 2021. Towards the right kind of fairness in AI. arXiv preprint arXiv:2102.08453 ( 2021 ). Boris Ruf and Marcin Detyniecki. 2021. Towards the right kind of fairness in AI. arXiv preprint arXiv:2102.08453 (2021)."},{"key":"e_1_3_2_2_54_1","volume-title":"Aequitas: A bias and fairness audit toolkit. arXiv preprint arXiv:1811.05577","author":"Saleiro Pedro","year":"2018","unstructured":"Pedro Saleiro , Benedict Kuester , Loren Hinkson , Jesse London , Abby Stevens , Ari Anisfeld , Kit T Rodolfa , and Rayid Ghani . 2018 . Aequitas: A bias and fairness audit toolkit. arXiv preprint arXiv:1811.05577 (2018). Pedro Saleiro, Benedict Kuester, Loren Hinkson, Jesse London, Abby Stevens, Ari Anisfeld, Kit T Rodolfa, and Rayid Ghani. 2018. Aequitas: A bias and fairness audit toolkit. arXiv preprint arXiv:1811.05577 (2018)."},{"key":"e_1_3_2_2_55_1","volume-title":"Proceedings of the 26th ACM SIGKDD international conference on knowledge discovery & data mining. 3513\u20133514","author":"Saleiro Pedro","year":"2020","unstructured":"Pedro Saleiro , Kit T Rodolfa , and Rayid Ghani . 2020 . Dealing with bias and fairness in data science systems: A practical hands-on tutorial . In Proceedings of the 26th ACM SIGKDD international conference on knowledge discovery & data mining. 3513\u20133514 . Pedro Saleiro, Kit T Rodolfa, and Rayid Ghani. 2020. Dealing with bias and fairness in data science systems: A practical hands-on tutorial. In Proceedings of the 26th ACM SIGKDD international conference on knowledge discovery & data mining. 3513\u20133514."},{"key":"e_1_3_2_2_56_1","unstructured":"Piotr Sapiezynski Valentin Kassarnig and Christo Wilson. 2017. Academic performance prediction in a gender-imbalanced environment.  Piotr Sapiezynski Valentin Kassarnig and Christo Wilson. 2017. Academic performance prediction in a gender-imbalanced environment."},{"key":"e_1_3_2_2_57_1","volume-title":"2018 Second international conference on electronics, communication and aerospace technology (ICECA). IEEE, 910\u2013914","author":"Shailaja K","year":"2018","unstructured":"K Shailaja , B Seetharamulu , and MA Jabbar . 2018 . Machine learning in healthcare: A review . In 2018 Second international conference on electronics, communication and aerospace technology (ICECA). IEEE, 910\u2013914 . K Shailaja, B Seetharamulu, and MA Jabbar. 2018. Machine learning in healthcare: A review. In 2018 Second international conference on electronics, communication and aerospace technology (ICECA). IEEE, 910\u2013914."},{"key":"e_1_3_2_2_58_1","volume-title":"Gender: An intersectionality perspective. Sex roles 59, 5-6","author":"Shields Stephanie A","year":"2008","unstructured":"Stephanie A Shields . 2008 . Gender: An intersectionality perspective. Sex roles 59, 5-6 (2008), 301\u2013311. Stephanie A Shields. 2008. Gender: An intersectionality perspective. Sex roles 59, 5-6 (2008), 301\u2013311."},{"key":"e_1_3_2_2_59_1","volume-title":"Fairness definitions explained. In 2018 ieee\/acm international workshop on software fairness (fairware)","author":"Verma Sahil","unstructured":"Sahil Verma and Julia Rubin . 2018. Fairness definitions explained. In 2018 ieee\/acm international workshop on software fairness (fairware) . IEEE , 1\u20137. Sahil Verma and Julia Rubin. 2018. Fairness definitions explained. In 2018 ieee\/acm international workshop on software fairness (fairware). IEEE, 1\u20137."},{"key":"e_1_3_2_2_60_1","unstructured":"Anne L. Washington. 2019. How to Argue with an Algorithm: Lessons from the COMPAS ProPublica Debate.  Anne L. Washington. 2019. How to Argue with an Algorithm: Lessons from the COMPAS ProPublica Debate."},{"key":"e_1_3_2_2_61_1","volume-title":"Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019","author":"Wick Michael L.","year":"2019","unstructured":"Michael L. Wick , Swetasudha Panda , and Jean-Baptiste Tristan . 2019 . Unlocking Fairness: a Trade-off Revisited . In Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019 , NeurIPS 2019, December 8-14, 2019, Vancouver, BC, Canada, Hanna M. Wallach, Hugo Larochelle, Alina Beygelzimer, Florence d\u2019Alch\u00e9-Buc, Emily B. Fox, and Roman Garnett (Eds.). 8780\u20138789. https:\/\/proceedings.neurips.cc\/paper\/2019\/hash\/373e4c5d8edfa8b74fd4b6791d0cf6dc-Abstract.html Michael L. Wick, Swetasudha Panda, and Jean-Baptiste Tristan. 2019. Unlocking Fairness: a Trade-off Revisited. In Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, December 8-14, 2019, Vancouver, BC, Canada, Hanna M. Wallach, Hugo Larochelle, Alina Beygelzimer, Florence d\u2019Alch\u00e9-Buc, Emily B. Fox, and Roman Garnett (Eds.). 8780\u20138789. https:\/\/proceedings.neurips.cc\/paper\/2019\/hash\/373e4c5d8edfa8b74fd4b6791d0cf6dc-Abstract.html"},{"key":"e_1_3_2_2_62_1","doi-asserted-by":"crossref","first-page":"e2","DOI":"10.1017\/dap.2020.23","article-title":"A recommendation and risk classification system for connecting rough sleepers to essential outreach services","volume":"3","author":"Wilde Harrison","year":"2021","unstructured":"Harrison Wilde , Lucia L. Chen , Austin Nguyen , Zoe Kimpel , Joshua Sidgwick , Adolfo De Unanue , Davide Veronese , Bilal Mateen , Rayid Ghani , Sebastian Vollmer , and 2021 . A recommendation and risk classification system for connecting rough sleepers to essential outreach services . Data and Policy 3 (2021), e2 . https:\/\/doi.org\/10.1017\/dap.2020.23 10.1017\/dap.2020.23 Harrison Wilde, Lucia L. Chen, Austin Nguyen, Zoe Kimpel, Joshua Sidgwick, Adolfo De Unanue, Davide Veronese, Bilal Mateen, Rayid Ghani, Sebastian Vollmer, and et al.2021. A recommendation and risk classification system for connecting rough sleepers to essential outreach services. Data and Policy 3 (2021), e2. https:\/\/doi.org\/10.1017\/dap.2020.23","journal-title":"Data and Policy"},{"key":"e_1_3_2_2_63_1","volume-title":"The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients. Expert systems with applications 36, 2","author":"Yeh Cheng","year":"2009","unstructured":"I- Cheng Yeh and Che-hui Lien. 2009. The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients. Expert systems with applications 36, 2 ( 2009 ), 2473\u20132480. I-Cheng Yeh and Che-hui Lien. 2009. The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients. Expert systems with applications 36, 2 (2009), 2473\u20132480."},{"key":"e_1_3_2_2_64_1","volume-title":"Proceedings of the 26th international conference on world wide web. 1171\u20131180","author":"Zafar Muhammad Bilal","year":"2017","unstructured":"Muhammad Bilal Zafar , Isabel Valera , Manuel Gomez Rodriguez , and Krishna P Gummadi . 2017 . Fairness beyond disparate treatment & disparate impact: Learning classification without disparate mistreatment . In Proceedings of the 26th international conference on world wide web. 1171\u20131180 . Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez Rodriguez, and Krishna P Gummadi. 2017. Fairness beyond disparate treatment & disparate impact: Learning classification without disparate mistreatment. In Proceedings of the 26th international conference on world wide web. 1171\u20131180."},{"key":"e_1_3_2_2_65_1","first-page":"15424","article-title":"Machine Learning Informed Decision-Making with Interpreted Model\u2019s Outputs: A Field Intervention. In Academy of Management Proceedings, Vol. 2021. Academy of Management Briarcliff Manor","volume":"10510","author":"Zejnilovic Leid","year":"2021","unstructured":"Leid Zejnilovic , Susana Lavado , Carlos Soares , \u00cd\u00f1igo Mart\u00ednez De Rituerto De Troya , Andrew Bell , and Rayid Ghani . 2021 . Machine Learning Informed Decision-Making with Interpreted Model\u2019s Outputs: A Field Intervention. In Academy of Management Proceedings, Vol. 2021. Academy of Management Briarcliff Manor , NY 10510 , 15424 . Leid Zejnilovic, Susana Lavado, Carlos Soares, \u00cd\u00f1igo Mart\u00ednez De Rituerto De Troya, Andrew Bell, and Rayid Ghani. 2021. Machine Learning Informed Decision-Making with Interpreted Model\u2019s Outputs: A Field Intervention. In Academy of Management Proceedings, Vol. 2021. 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