Maria De-Arteaga
Cited by
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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
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
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
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
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
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
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
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
Discovery of complex anomalous patterns of sexual violence in El Salvador
M De-Arteaga, A Dubrawski
Data for policy, 2016
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
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
Canonical autocorrelation analysis and graphical modeling for human trafficking characterization
Q Chen, M De Arteaga, W Herlands
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
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
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
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
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
Proceedings of NIPS 2017 Workshop on Machine Learning for the Developing World
M De-Arteaga, W Herlands
arXiv, arXiv: 1711.09522, 2017
Canonical Autocorrelation Analysis for Radiation Threat Detection
M De Arteaga
Canonical Autocorrelation Analysis
M De-Arteaga, A Dubrawski, P Huggins
arXiv preprint arXiv:1511.06419, 2015
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