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Black box fairness testing of machine learning models.

A. Aggarwal, P. Lohia, S. Nagar, K. Dey, and D. Saha. ESEC/SIGSOFT FSE, page 625-635. ACM, (2019)

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Tooling Framework for Instantiating Natural Language Querying System.M. Jammi, J. Sen, A. Mittal, S. Verma, V. Pahuja, R. Ananthanarayanan, P. Lohia, H. Karanam, D. Saha, and K. Sankaranarayanan. PVLDB, 11 (12): 2014-2017 (2018)Video Analysis of "YouTube Funnies" to Aid the Study of Human Gait and Falls - Preliminary Results and Proof of Concept.B. Taati, P. Lohia, A. Mansfield, and A. Ashraf. CoRR, (2016)Efficiently Processing Workflow Provenance Queries on SPARK.R. C, P. Lohia, H. Gupta, S. Brahma, M. Hernández, and S. Mehta. CoRR, (2018)AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias.R. Bellamy, K. Dey, M. Hind, S. Hoffman, S. Houde, K. Kannan, P. Lohia, J. Martino, S. Mehta, A. Mojsilovic and 8 other author(s). CoRR, (2018)Think Your Artificial Intelligence Software Is Fair? Think Again.R. Bellamy, K. Dey, M. Hind, S. Hoffman, S. Houde, K. Kannan, P. Lohia, S. Mehta, A. Mojsilovic, S. Nagar and 7 other author(s). IEEE Software, 36 (4): 76-80 (2019)Counterfactual Multi-Token Fairness in Text Classification.P. Lohia. CoRR, (2022)Black box fairness testing of machine learning models.A. Aggarwal, P. Lohia, S. Nagar, K. Dey, and D. Saha. ESEC/SIGSOFT FSE, page 625-635. ACM, (2019)Design diagrams as ontological source.P. Lohia, K. Kannan, B. Srivastava, and S. Mehta. ESEC/SIGSOFT FSE, page 863-873. ACM, (2019)Video analysis of "YouTube funnies" to aid the study of human gait and falls - preliminary results and proof of concept.B. Taati, P. Lohia, A. Mansfield, and A. Ashraf. EMBC, page 1178-1181. IEEE, (2017)On Efficiently Processing Workflow Provenance Queries in Spark.R. C, P. Lohia, H. Gupta, S. Brahma, M. Hernández, and S. Mehta. ICDCS, page 1443-1452. IEEE, (2019)

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Disambiguation of "Lohia, Pranay"

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Black box fairness testing of machine learning models.

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Disambiguation of "Lohia, Pranay"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Black box fairness testing of machine learning models.

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Black box fairness testing of machine learning models.