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Abigail Z. Jacobs
Abigail Z. Jacobs
University of Michigan
Подтвержден адрес электронной почты в домене umich.edu - Главная страница
Название
Процитировано
Процитировано
Год
Learning latent block structure in weighted networks
C Aicher, AZ Jacobs, A Clauset
Journal of Complex Networks 3 (2), 221-248, 2014
3002014
Efficiently inferring community structure in bipartite networks
DB Larremore, A Clauset, AZ Jacobs
Physical Review E 90 (1), 012805, 2014
2202014
Measurement and fairness
AZ Jacobs, H Wallach
Proc. ACM FAccT 2021, 2019
1892019
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
842013
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
402015
A unified view of generative models for networks: models, methods, opportunities, and challenges
AZ Jacobs, A Clauset
arXiv preprint arXiv:1411.4070, 2014
372014
Adapting to non-stationarity with growing expert ensembles
CR Shalizi, AZ Jacobs, KL Klinkner, A Clauset
arXiv preprint arXiv:1103.0949, 2011
29*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
232014
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
152020
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
152013
A large-scale comparative study of informal social networks in firms
AZ Jacobs, DJ Watts
Management Science 67 (9), 5489-5509, 2021
102021
Measurement as governance in and for responsible AI
AZ Jacobs
arXiv preprint arXiv:2109.05658, 2021
72021
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
52018
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
32015
Internet-human infrastructures: Lessons from Havana's StreetNet
AZ Jacobs, M Dye
arXiv preprint arXiv:2004.12207, 2020
22020
Comparative, Population-Level Analysis of Social Networks in Organizations
AZ Jacobs
University of Colorado Boulder, 2017
22017
Scientific Argument with Supervised Learning
JW Lockhart, AZ Jacobs
NeurIPS 2021 AI for Science Workshop, 2021
12021
Assembly in populations of social networks
AZ Jacobs
arXiv preprint arXiv:1811.01452, 2018
12018
The Hidden Governance in AI
AZ Jacobs, DK Mulligan
The Regulatory Review, 2022
2022
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