Maria De-Arteaga

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	All	Since 2016
Citations	205	197
h-index	8	8
i10-index	7	7

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2013201420152016201720182019202020211 1 3 4 6 13 52 118 1

Co-authors

Alexandra ChouldechovaAssistant Professor of Statistics & Public Policy, Heinz College, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Artur DubrawskiCarnegie Mellon UniversityVerified email at cs.cmu.edu
Adam Tauman KalaiMicrosoft ResearchVerified email at microsoft.com
Hanna WallachSenior Principal Researcher, Microsoft ResearchVerified email at dirichlet.net
Sahin Cem GeyikFacebookVerified email at fb.com
Krishnaram KenthapadiAI @ LinkedInVerified email at CS.Stanford.EDU
Alexey RomanovMicrosoftVerified email at microsoft.com
Jennifer ChayesTechnical Fellow & Managing Director, MicrosoftVerified email at microsoft.com
Henning MüllerProfessor in computer science at HES-SO & in radiology at the University of GenevaVerified email at hevs.ch
Sergio JimenezInstituto Caro y Cuervo, Bogotá, ColombiaVerified email at caroycuervo.gov.co
Mark DM LeisersonAssistant Professor of Computer Science, University of Maryland, College ParkVerified email at cs.umd.edu
Anna RumshiskyUMass LowellVerified email at csail.mit.edu
George DueñasEstudiante de Doctorado en Educación. Universidad Pedagógica NacionalVerified email at upn.edu.co
Riccardo FogliatoCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Peter M HugginsResearch Analyst, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Gilles ClermontProfessor of Critical Care Medicine, University of PittsburghVerified email at pitt.edu
Jieshi ChenCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Jonathan ElmerUniversity of PittsburghVerified email at upmc.edu
Benedikt BoeckingPhD Student, Carnegie Mellon UniversityVerified email at cmu.edu

Maria De-Arteaga

Assistant Professor, University of Texas at Austin

Verified email at utexas.edu - Homepage

Machine learning Algorithmic fairness Algorithmic accountability ML4D


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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	55	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	41	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	22	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	20*	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	19	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	13	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	11	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	8	2020
Discovery of complex anomalous patterns of sexual violence in El Salvador M De-Arteaga, A Dubrawski Data for policy, 2016	5	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	3	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	2	2015
Canonical autocorrelation analysis and graphical modeling for human trafficking characterization Q Chen, M De Arteaga, W Herlands	2	2015
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	2	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	1	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	1	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		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
Proceedings of NIPS 2017 Workshop on Machine Learning for the Developing World M De-Arteaga, W Herlands arXiv, arXiv: 1711.09522, 2017		2017
Canonical Autocorrelation Analysis for Radiation Threat Detection M De Arteaga		2016
Canonical Autocorrelation Analysis M De-Arteaga, A Dubrawski, P Huggins arXiv preprint arXiv:1511.06419, 2015		2015

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