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Nyalleng Moorosi
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2020 – today
- 2024
- [j1]Lyse Naomi Wamba Momo
, Nyalleng Moorosi, Elaine O. Nsoesie, Frank E. Rademakers
Length of stay prediction for hospital management using domain adaptation. Eng. Appl. Artif. Intell. 133: 108088 (2024) - 2023
- [i6]Lyse Naomi Wamba Momo, Nyalleng Moorosi, Elaine O. Nsoesie, Frank E. Rademakers, Bart De Moor:
Length of Stay prediction for Hospital Management using Domain Adaptation. CoRR abs/2306.16823 (2023) - 2022
- [c9]Negar Rostamzadeh, Diana Mincu, Subhrajit Roy, Andrew Smart, Lauren Wilcox, Mahima Pushkarna, Jessica Schrouff, Razvan Amironesei, Nyalleng Moorosi, Katherine A. Heller:
Healthsheet: Development of a Transparency Artifact for Health Datasets. FAccT 2022: 1943-1961 - [c8]Alexander Soen, Ibrahim M. Alabdulmohsin, Sanmi Koyejo, Yishay Mansour, Nyalleng Moorosi, Richard Nock, Ke Sun, Lexing Xie:
Fair Wrapping for Black-box Predictions. NeurIPS 2022 - [i5]Alexander Soen, Ibrahim Alabdulmohsin, Sanmi Koyejo, Yishay Mansour, Nyalleng Moorosi, Richard Nock, Ke Sun, Lexing Xie:
Fair Wrapping for Black-box Predictions. CoRR abs/2201.12947 (2022) - [i4]Negar Rostamzadeh, Diana Mincu, Subhrajit Roy, Andrew Smart, Lauren Wilcox, Mahima Pushkarna, Jessica Schrouff, Razvan Amironesei, Nyalleng Moorosi, Katherine A. Heller:
Healthsheet: Development of a Transparency Artifact for Health Datasets. CoRR abs/2202.13028 (2022) - 2021
- [c7]Raesetje Sefala, Timnit Gebru, Nyalleng Moorosi, Luzango Mfupe, Richard Klein:
Constructing a Visual Dataset to Study the Effects of Spatial Apartheid in South Africa. NeurIPS Datasets and Benchmarks 2021 - 2020
- [c6]Margaret Mitchell, Dylan K. Baker, Nyalleng Moorosi, Emily Denton, Ben Hutchinson, Alex Hanna, Timnit Gebru, Jamie Morgenstern:
Diversity and Inclusion Metrics in Subset Selection. AIES 2020: 117-123 - [i3]Margaret Mitchell, Dylan K. Baker, Nyalleng Moorosi, Emily Denton, Ben Hutchinson, Alex Hanna, Timnit Gebru, Jamie Morgenstern:
Diversity and Inclusion Metrics in Subset Selection. CoRR abs/2002.03256 (2020) - [i2]Sara Hooker, Nyalleng Moorosi, Gregory Clark, Samy Bengio, Emily Denton:
Characterising Bias in Compressed Models. CoRR abs/2010.03058 (2020) - [i1]Angie Peng, Jeff Naecker, Ben Hutchinson, Andrew Smart, Nyalleng Moorosi:
Fairness Preferences, Actual and Hypothetical: A Study of Crowdworker Incentives. CoRR abs/2012.04216 (2020)
2010 – 2019
- 2018
- [c5]Vukosi Marivate
Exploring data science for public good in South Africa: evaluating factors that lead to success. DG.O 2018: 6:1-6:6 - 2017
- [c4]Nyalleng Moorosi, Mamello Thinyane
A Critical and Systemic Consideration of Data for Sustainable Development in Africa. ICT4D 2017: 232-241 - [c3]Vukosi Marivate
Employment relations: a data driven analysis of job markets using online job boards and online professional networks. WI 2017: 1110-1113 - 2016
- [c2]Alta de Waal, Hildegarde Koen, Johan Pieter de Villiers, Henk Roodt, Nyalleng Moorosi, Gregor Pavlin:
Construction and evaluation of Bayesian networks with expert-defined latent variables. FUSION 2016: 774-781 - 2015
- [c1]Nyalleng Moorosi, Vukosi Marivate
Privacy in mining crime data from social Media: A South African perspective. InfoSec 2015: 171-175
Coauthor Index
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last updated on 2024-06-10 20:31 CEST by the dblp team
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