Maria De-Arteaga
Title
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Cited by
Year
Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting
M De-Arteaga, A Romanov, H Wallach, J Chayes, C Borgs, ...
ACM Conference on Fairness, Accountability, and Transparency, 120--128, 2019
762019
What are the biases in my word embedding?
N Swinger, M De-Arteaga, NT Heffernan IV, MDM Leiserson, AT Kalai
AAAI/ACM Conference on Artificial Intelligence, Ethics and Society (AIES), 2019
492019
What's in a Name? Reducing Bias in Bios without Access to Protected Attributes
A Romanov, M De-Arteaga, H Wallach, J Chayes, C Borgs, ...
Conference of the North American Chapter of the Association for …, 2019
272019
Machine learning for the developing world
M De-Arteaga, W Herlands, DB Neill, A Dubrawski
ACM Transactions on Management Information Systems (TMIS) 9 (2), 1-14, 2018
232018
Author profiling using corpus statistics, lexicons and stylistic features
M De-Arteaga, S Jimenez, G Duenas, S Mancera, J Baquero
10th PAN evaluation lab on uncovering plagiarism, authorship. and social …, 2013
20*2013
A Case for Humans-in-the-Loop: Decisions in the Presence of Erroneous Algorithmic Scores
M De-Arteaga, R Fogliato, A Chouldechova
ACM CHI Conference on Human Factors in Computing Systems, 2020
172020
Learning under selective labels in the presence of expert consistency
M De-Arteaga, A Dubrawski, A Chouldechova
Workshop on Fairness, Accountability, and Transparency in Machine Learning …, 2018
142018
Comparing image search behaviour in the ARRS GoldMiner search engine and a clinical PACS/RIS
M De-Arteaga, I Eggel, B Do, D Rubin, CE Kahn Jr, H Müller
Journal of biomedical informatics 56, 57-64, 2015
122015
Discovery of complex anomalous patterns of sexual violence in El Salvador
M De-Arteaga, A Dubrawski
Data for policy, 2016
62016
Predicting neurological recovery with canonical autocorrelation embeddings
M De-Arteaga, J Chen, P Huggins, J Elmer, G Clermont, A Dubrawski
PloS one 14 (1), e0210966, 2019
32019
Canonical autocorrelation analysis and graphical modeling for human trafficking characterization
Q Chen, M De Arteaga, W Herlands
32015
Lass-0: sparse non-convex regression by local search
W Herlands, M De-Arteaga, D Neill, A Dubrawski
Optimization for Machine Learning NIPS Workshop, 2015
22015
Analyzing Medical Image Search Behavior: Semantics and Prediction of Query Results
M De-Arteaga, I Eggel, CE Kahn, H Müller
Journal of digital imaging 28 (5), 537-546, 2015
22015
Killings of social leaders in the Colombian post-conflict: Data analysis for investigative journalism
M De-Arteaga, B Boecking
arXiv preprint arXiv:1906.08206, 2019
12019
Canonical Autocorrelation Analysis
M De-Arteaga, A Dubrawski, P Huggins
arXiv preprint arXiv:1511.06419, 2015
12015
MindLab-UNAL: Comparing Metamap and T-mapper for Medical Concept Extraction in SemEval 2014 Task 7.
A Riveros, M De-Arteaga, FA González, S Jimenez, H Müller
SemEval@ COLING, 424-427, 2014
12014
Leveraging Expert Consistency to Improve Algorithmic Decision Support
M De-Arteaga, A Dubrawski, A Chouldechova
arXiv preprint arXiv:2101.09648, 2021
2021
The effect of differential victim crime reporting on predictive policing systems
NJ Akpinar, M De-Arteaga, A Chouldechova
ACM Conference on Fairness, Accountability, and Transparency, 2021
2021
Proceedings of NeurIPS 2019 Workshop on Machine Learning for the Developing World: Challenges and Risks of ML4D
M De-Arteaga, T Afonja, A Coston
arXiv preprint arXiv:2001.00249, 2020
2020
Proceedings of NeurIPS 2018 Workshop on Machine Learning for the Developing World: Achieving Sustainable Impact
M De-Arteaga, A Coston, W Herlands
arXiv preprint arXiv:1812.10398, 2018
2018
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Articles 1–20