Maria De-Arteaga

According to our database1, Maria De-Arteaga authored at least 25 papers between 2013 and 2022.

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Bibliography

2022
Toward Supporting Perceptual Complementarity in Human-AI Collaboration via Reflection on Unobservables.
CoRR, 2022

Algorithmic Fairness in Business Analytics: Directions for Research and Practice.
CoRR, 2022

More Data Can Lead Us Astray: Active Data Acquisition in the Presence of Label Bias.
CoRR, 2022

Doubting AI Predictions: Influence-Driven Second Opinion Recommendation.
CoRR, 2022

On the Relationship Between Explanations, Fairness Perceptions, and Decisions.
CoRR, 2022

Justice in Misinformation Detection Systems: An Analysis of Algorithms, Stakeholders, and Potential Harms.
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

2021
Social Norm Bias: Residual Harms of Fairness-Aware Algorithms.
CoRR, 2021

Diversity in Sociotechnical Machine Learning Systems.
CoRR, 2021

Leveraging Expert Consistency to Improve Algorithmic Decision Support.
CoRR, 2021

Human-AI Collaboration with Bandit Feedback.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

The effect of differential victim crime reporting on predictive policing systems.
Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

2020
Proceedings of NeurIPS 2019 Workshop on Machine Learning for the Developing World: Challenges and Risks of ML4D.
CoRR, 2020

A Case for Humans-in-the-Loop: Decisions in the Presence of Erroneous Algorithmic Scores.
Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

2019
Killings of social leaders in the Colombian post-conflict: Data analysis for investigative journalism.
CoRR, 2019

What's in a Name? Reducing Bias in Bios without Access to Protected Attributes.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting.
Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019

What are the Biases in My Word Embedding?
Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019

2018
Machine Learning for the Developing World.
ACM Trans. Manag. Inf. Syst., 2018

Proceedings of NeurIPS 2018 Workshop on Machine Learning for the Developing World: Achieving Sustainable Impact.
CoRR, 2018

Learning under selective labels in the presence of expert consistency.
CoRR, 2018

2015
Analyzing Medical Image Search Behavior: Semantics and Prediction of Query Results.
J. Digit. Imaging, 2015

Comparing image search behaviour in the ARRS GoldMiner search engine and a clinical PACS/RIS.
J. Biomed. Informatics, 2015

Canonical Autocorrelation Analysis.
CoRR, 2015

2014
MindLab-UNAL: Comparing Metamap and T-mapper for Medical Concept Extraction in SemEval 2014 Task 7.
Proceedings of the 8th International Workshop on Semantic Evaluation, 2014

2013
Author Profiling Using Corpus Statistics, Lexicons and Stylistic Features Notebook for PAN at CLEF-2013.
Proceedings of the Working Notes for CLEF 2013 Conference , 2013


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