Abigail Z. Jacobs 个人学术档案

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	总计	2019 年至今
引用	1354	993
h 指数	12	10
i10 指数	13	11

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Aaron ClausetProfessor of Computer Science, University of Colorado Boulder在 colorado.edu 的电子邮件经过验证
Hanna WallachPartner Research Manager, Microsoft Research在 dirichlet.net 的电子邮件经过验证
Daniel B. LarremoreBioFrontiers Inst. & CS Dept. - University of Colorado Boulder在 colorado.edu 的电子邮件经过验证
Cosma Rohilla ShaliziProfessor of Statistics, Carnegie Mellon University在 cmu.edu 的电子邮件经过验证
Amina A. AbduUniversity of Michigan在 umich.edu 的电子邮件经过验证
Johan UganderAssociate Professor, Stanford University在 stanford.edu 的电子邮件经过验证
Samuel F. WayResearch Scientist, Spotify在 colorado.edu 的电子邮件经过验证
Irene V. Pasquetto, Ph.D.Assistant Professor - University of Maryland在 umd.edu 的电子邮件经过验证
Hal Daumé IIIAssociate Professor of Computer Science, University of Maryland在 umiacs.umd.edu 的电子邮件经过验证
Solon BarocasPrincipal Researcher, Microsoft Research; Adjunct Assistant Professor, Information Science, Cornell在 cornell.edu 的电子邮件经过验证
Su Lin BlodgettMicrosoft Research Montréal在 microsoft.com 的电子邮件经过验证
Duncan J WattsUniversity of Pennsylvania在 seas.upenn.edu 的电子邮件经过验证
Winter MasonData Scientist, Facebook在 fb.com 的电子邮件经过验证
Mark AckermanUniversity of Michigan, Ann Arbor在 umich.edu 的电子邮件经过验证
Cristopher MooreSanta Fe Institute在 santafe.edu 的电子邮件经过验证
Jennifer A. DunneProfessor & Vice President for Science, Santa Fe Institute在 santafe.edu 的电子邮件经过验证
Asia J. BiegaTenure-track Faculty @ Max Planck Institute for Security and Privacy在 mpi-sp.org 的电子邮件经过验证
Aparna BalagopalanMassachusetts Institute of Technology在 mit.edu 的电子邮件经过验证
Meera DesaiPhD Student, University of Michigan在 umich.edu 的电子邮件经过验证
Dallas CardUniversity of Michigan在 umich.edu 的电子邮件经过验证

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Abigail Z. Jacobs

University of Michigan

在 umich.edu 的电子邮件经过验证 - 首页

Computational Social Science Complex Networks Machine Learning Fairness


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Measurement and fairness AZ Jacobs, H Wallach Proc. ACM FAccT 2021, 2019	380	2019
Learning latent block structure in weighted networks C Aicher, AZ Jacobs, A Clauset Journal of Complex Networks 3 (2), 221-248, 2014	347	2014
Efficiently inferring community structure in bipartite networks DB Larremore, A Clauset, AZ Jacobs Physical Review E 90 (1), 012805, 2014	245	2014
Adapting the Stochastic Block Model to Edge-Weighted Networks C Aicher, AZ Jacobs, A Clauset ICML Workshop on Structured Learning (SLG), arXiv:1305.5782, 2013	101	2013
Assembling thefacebook: Using heterogeneity to understand online social network assembly AZ Jacobs, SF Way, J Ugander, A Clauset Proceedings of the ACM Web Science Conference, 1-10, 2015	45	2015
A unified view of generative models for networks: models, methods, opportunities, and challenges AZ Jacobs, A Clauset arXiv preprint arXiv:1411.4070, 2014	42	2014
The meaning and measurement of bias: lessons from natural language processing AZ Jacobs, SL Blodgett, S Barocas, H Daumé III, H Wallach Proceedings of the 2020 conference on fairness, accountability, and …, 2020	32	2020
Adapting to non-stationarity with growing expert ensembles CR Shalizi, AZ Jacobs, KL Klinkner, A Clauset arXiv preprint arXiv:1103.0949, 2011	28*	2011
Complex life cycles in a pond food web: effects of life stage structure and parasites on network properties, trophic positions and the fit of a probabilistic niche model DL Preston, AZ Jacobs, SA Orlofske, PTJ Johnson Oecologia 174, 953-965, 2014	27	2014
A large-scale comparative study of informal social networks in firms AZ Jacobs, DJ Watts Management Science 67 (9), 5489-5509, 2021	25	2021
Measurement as governance in and for responsible AI AZ Jacobs arXiv preprint arXiv:2109.05658, 2021	15	2021
Detecting Friendship Within Dynamic Online Interaction Networks S Merritt, AZ Jacobs, W Mason, A Clauset Seventh International AAAI Conference on Weblogs and Social Media (ICWSM), 2013	15	2013
An empirical analysis of racial categories in the algorithmic fairness literature AA Abdu, IV Pasquetto, AZ Jacobs Proceedings of the 2023 ACM Conference on Fairness, Accountability, and …, 2023	10	2023
Report of the 1st Workshop on Generative AI and Law AF Cooper, K Lee, J Grimmelmann, D Ippolito, C Callison-Burch, ... arXiv preprint arXiv:2311.06477, 2023	7	2023
Conceptualizing Algorithmic Stigmatization N Andalibi, C Pyle, K Barta, L Xian, AZ Jacobs, MS Ackerman Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems …, 2023	7	2023
Discovering heterogeneous subpopulations for fine-grained analysis of opioid use and opioid use disorders JJ Gong, AZ Jacobs, TE Stuart, M de Vaan arXiv preprint arXiv:1811.04344, 2018	5	2018
An Archival Perspective on Pretraining Data M Desai, IV Pasquetto, AZ Jacobs, D Card Patterns 5 (Online Now: 100966), 2024	4	2024
The Role of Relevance in Fair Ranking A Balagopalan, AZ Jacobs, A Biega 46th International ACM SIGIR Conference on Research and Development in …, 2023	4	2023
Untangling the roles of parasites in food webs with generative network models AZ Jacobs, JA Dunne, C Moore, A Clauset arXiv preprint arXiv:1505.04741, 2015	4	2015
The Hidden Governance in AI AZ Jacobs, DK Mulligan The Regulatory Review, 2022	3	2022

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