Sorelle Friedler | Academic Influence

Sorelle Friedler's AcademicInfluence.com Rankings

Sorelle Friedler

Computer Science

#6748

World Rank

#7112

Historical Rank

Machine Learning

#4765

World Rank

#4819

Historical Rank

Artificial Intelligence

#5771

World Rank

#5856

Historical Rank

Database

#8891

World Rank

#9345

Historical Rank

computer-science Degrees

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Computer Science

Sorelle Friedler's Degrees

PhD Computer Science Cornell University

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Best Online PhD of Computer Science (Doctorates) 2025

Why Is Sorelle Friedler Influential?

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According to Wikipedia, Sorelle Alaina Friedler is an American computer scientist who is an Associate Professor at Haverford College. She is the co-founder Association for Computing Machinery Conference on Fairness, Accountability, and Transparency. Her research seeks to prevent discrimination in machine learning.

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Sorelle Friedler's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Certifying and Removing Disparate Impact (2014) (1399)
Machine-learning-assisted materials discovery using failed experiments (2016) (902)
Fairness and Abstraction in Sociotechnical Systems (2019) (545)
A comparative study of fairness-enhancing interventions in machine learning (2018) (445)
The (Im)possibility of fairness (2016) (339)
Auditing black-box models for indirect influence (2016) (252)
Runaway Feedback Loops in Predictive Policing (2017) (252)
Problems with Shapley-value-based explanations as feature importance measures (2020) (191)
Anthropogenic biases in chemical reaction data hinder exploratory inorganic synthesis (2019) (107)
Assessing the Local Interpretability of Machine Learning Models (2019) (54)
Hiring by Algorithm: Predicting and Preventing Disparate Impact (2016) (52)
Experiment Specification, Capture and Laboratory Automation Technology (ESCALATE): a software pipeline for automated chemical experimentation and data management (2019) (49)
Gaps in Information Access in Social Networks? (2019) (36)
Fairness warnings and fair-MAML: learning fairly with minimal data (2019) (34)
Fairness in representation: quantifying stereotyping as a representational harm (2019) (31)
Auditing Black-box Models by Obscuring Features (2016) (24)
Disentangling Influence: Using Disentangled Representations to Audit Model Predictions (2019) (23)
Interpretable Active Learning (2017) (23)
Automated Congressional Redistricting (2019) (20)
Approximation algorithm for the kinetic robust K-center problem (2010) (19)
Energy Usage Reports: Environmental awareness as part of algorithmic accountability (2019) (18)
Enabling teachers to explore grade patterns to identify individual needs and promote fairer student assessment (2008) (16)
Shapley Residuals: Quantifying the limits of the Shapley value for explanations (2021) (14)
Social and Technical Trade-Offs in Data Science (2017) (8)
Decision making with limited feedback (2018) (7)
Fairness in Networks: Social Capital, Information Access, and Interventions (2021) (5)
Active meta-learning for predicting and selecting perovskite crystallization experiments. (2021) (5)
Compressing Kinetic Data from Sensor Networks (2009) (4)
Spatio-temporal Range Searching over Compressed Kinetic Sensor Data (2010) (4)
Models for understanding and quantifying feedback in societal systems (2022) (4)
Clustering via Information Access in a Network (2020) (3)
NSF BIGDATA PI Meeting - Domain-Specific Research Directions and Data Sets (2019) (3)
Fair Meta-Learning: Learning How to Learn Fairly (2019) (3)
Approaches for Weaving Responsible Computing into Data Structures and Algorithms Courses (2022) (2)
Call for Papers: Special Issue on Social and Technical Trade-Offs. (2016) (1)
A case study of algorithm-assisted decision making in child maltreatment hotline screening decisions (2017) (1)
Reducing Access Disparities in Networks using Edge Augmentation (2022) (1)
Realistic Compression of Kinetic Sensor Data (2010) (1)
Convex Hull for Probabilistic Points (2014) (1)
Active Meta-Learning (2020) (0)
Change is possible: stories of women and minorities in mathematics by Patricia Clark Kenschaft, published by AMS, 2005 212 pages, softcover (2010) (0)
eduViz : A visualization tool for grade exploration and assignment (2007) (0)
Optimizing Society? Ensuring Fairness in Automated Decision-Making (Invited Talk) (2018) (0)
A Symposium: To Be Human: Surveillance, Recognition, Distortion (2020) (0)
Expert-Assisted Transfer Reinforcement Learning (2019) (0)
Review of Patricia Clark Kenschaft's Change is Possible: Stories of Women and Minorities in Mathematics (2010) (0)
A sensor-based framework for kinetic data compression (2015) (0)
Probabilistic Kinetic Data Structures [abstract] (2013) (0)
Review of pioneering women in american mathematics: the pre-1940 PhD's by Judy Green and Jeanne LaDuke (2011) (0)
Algorithms for Calculating Statistical Properties of Moving Points (2009) (0)
Geometric Algorithms for Objects in Motion (2010) (0)
Call for Papers: Special Issue on Social and Technical Trade-Offs. (2016) (0)
Measuring and mitigating voting access disparities: a study of race and polling locations in Florida and North Carolina (2022) (0)
3 Opinion (2012) (0)

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Other Resources About Sorelle Friedler

en.wikipedia.org

What Schools Are Affiliated With Sorelle Friedler?

Sorelle Friedler is affiliated with the following schools: