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On the genealogy of machine learning datasets: A critical history of ImageNet

Big data & society, 2021-07, Vol.8 (2), p.205395172110359

2021

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Auto-essentialization: Gender in automated facial analysis as extended colonial project

Big data & society, 2021-07, Vol.8 (2), p.205395172110537

2021

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Fractional Flow Reserve Cardio-Oncology Effects on Inpatient Mortality, Length of Stay, and Cost Based on Malignancy Type: Machine Learning Supported Nationally Representative Case-Control Study of 30 Million Hospitalizations

Medicina (Kaunas, Lithuania), 2022-06, Vol.58 (7), p.859

2022

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Black Protests in the United States, 1994 to 2010

Sociological science, 2022, Vol.9 (12), p.275-312

2022

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Data and its (dis)contents: A survey of dataset development and use in machine learning research

Patterns (New York, N.Y.), 2021-11, Vol.2 (11), p.100336-100336, Article 100336

2021

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CONSTRUCTING RELATIONAL AND VERIFIABLE PROTEST EVENT DATA: FOUR CHALLENGES AND SOME SOLUTIONS

Mobilization (San Diego, Calif.), 2023-03, Vol.28 (1), p.1

2023

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Towards a critical race methodology in algorithmic fairness

Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency, 2020, p.501-512

2020

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Using the Shallow Strain Tensor to Characterize Deep Geologic Reservoirs

Water resources research, 2023-02, Vol.59 (2), p.n/a

2023

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Dual Screening During Presidential Debates: Political Nonverbals and the Volume and Valence of Online Expression

The American behavioral scientist (Beverly Hills), 2016-12, Vol.60 (14), p.1816-1843

2016

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Towards Accountability for Machine Learning Datasets: Practices from Software Engineering and Infrastructure

Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, 2021, p.560-575

2021

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Documenting Data Production Processes: A Participatory Approach for Data Work

Proceedings of the ACM on human-computer interaction, 2022-11, Vol.6 (CSCW2), p.1-34, Article 510

2022

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The Power of Television Images in a Social Media Age: Linking Biobehavioral and Computational Approaches via the Second Screen

The Annals of the American Academy of Political and Social Science, 2015-05, Vol.659 (1), p.225-245

2015

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The significance of gap junction location in striatal fast spiking interneurons

Neurocomputing (Amsterdam), 2007-06, Vol.70 (10), p.1887-1891

2007

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Documenting Computer Vision Datasets: An Invitation to Reflexive Data Practices

Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, 2021, p.161-172

2021

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Automated Coding of Protest Event Data: Development and Applications

Hanna, Alex

2016

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ProQuest

Coproduction or cooptation? Real-time spin and social media response during the 2012 French and US presidential debates

French politics, 2016-06, Vol.14 (2), p.206-233

2016

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Dual Screening During Presidential Debates

The American behavioral scientist (Beverly Hills), 2016-12, Vol.60 (14), p.1816-1843

2016

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Diversity and Inclusion Metrics in Subset Selection

Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 2020, p.117-123

2020

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Abstract 1158: Clinical significance of p53 codon 72 polymorphism in hepatocellular carcinomas

Cancer research (Chicago, Ill.), 2012-04, Vol.72 (8_Supplement), p.1158-1158

2012

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CtrlZ.AI zine fair: critical perspectives

Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency, 2020, p.686-686

2020

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When is Machine Learning Data Good?: Valuing in Public Health Datafication

Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems, 2022, p.1-16

2022

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Much Ado About Gender: Current Practices and Future Recommendations for Appropriate Gender-Aware Information Access

Proceedings of the 2023 Conference on Human Information Interaction and Retrieval, 2023, p.269-279

2023

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Algorithmically encoded identities: reframing human classification

Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency, 2020, p.681-681

2020

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AI Art and its Impact on Artists

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023, p.363-374

2023

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Considerations for Building Solidarity among Academic and Tech Workers: Thinking through access, positionality and limits to collective action

CHI Conference on Human Factors in Computing Systems Extended Abstracts, 2022, p.1-3

2022

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On the genealogy of machine learning datasets: A critical history of ImageNet

Auto-essentialization: Gender in automated facial analysis as extended colonial project

Fractional Flow Reserve Cardio-Oncology Effects on Inpatient Mortality, Length of Stay, and Cost Based on Malignancy Type: Machine Learning Supported Nationally Representative Case-Control Study of 30 Million Hospitalizations

Black Protests in the United States, 1994 to 2010

Data and its (dis)contents: A survey of dataset development and use in machine learning research

CONSTRUCTING RELATIONAL AND VERIFIABLE PROTEST EVENT DATA: FOUR CHALLENGES AND SOME SOLUTIONS

Towards a critical race methodology in algorithmic fairness

Using the Shallow Strain Tensor to Characterize Deep Geologic Reservoirs

Dual Screening During Presidential Debates: Political Nonverbals and the Volume and Valence of Online Expression

Towards Accountability for Machine Learning Datasets: Practices from Software Engineering and Infrastructure

Documenting Data Production Processes: A Participatory Approach for Data Work

The Power of Television Images in a Social Media Age: Linking Biobehavioral and Computational Approaches via the Second Screen

The significance of gap junction location in striatal fast spiking interneurons

Documenting Computer Vision Datasets: An Invitation to Reflexive Data Practices

Automated Coding of Protest Event Data: Development and Applications

Coproduction or cooptation? Real-time spin and social media response during the 2012 French and US presidential debates

Dual Screening During Presidential Debates

Diversity and Inclusion Metrics in Subset Selection

Abstract 1158: Clinical significance of p53 codon 72 polymorphism in hepatocellular carcinomas

CtrlZ.AI zine fair: critical perspectives

When is Machine Learning Data Good?: Valuing in Public Health Datafication

Much Ado About Gender: Current Practices and Future Recommendations for Appropriate Gender-Aware Information Access

Algorithmically encoded identities: reframing human classification

AI Art and its Impact on Artists

Considerations for Building Solidarity among Academic and Tech Workers: Thinking through access, positionality and limits to collective action

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