Cikkek nyilvánosan hozzáférhető megbízással - Maria De-ArteagaTovábbi információ
Valahol hozzáférhető: 9
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
Megbízások: US National Science Foundation, US Department of Defense
Algorithmic fairness in business analytics: Directions for research and practice
M De‐Arteaga, S Feuerriegel, M Saar‐Tsechansky
Production and Operations Management 31 (10), 3749-3770, 2022
Megbízások: Swiss National Science Foundation
Diversity in sociotechnical machine learning systems
S Fazelpour, M De-Arteaga
Big Data & Society 9 (1), 20539517221082027, 2022
Megbízások: Social Sciences and Humanities Research Council, Canada
Self-fulfilling prophecies and machine learning in resuscitation science
M De-Arteaga, J Elmer
Resuscitation 183, 109622, 2023
Megbízások: US National Institutes of Health
Time to awakening and self-fulfilling prophecies after cardiac arrest
J Elmer, MC Kurz, PJ Coppler, A Steinberg, S DeMasi, M De-Arteaga, ...
Critical care medicine 51 (4), 503-512, 2023
Megbízások: US National Institutes of Health
Imputation strategies under clinical presence: Impact on algorithmic fairness
V Jeanselme, M De-Arteaga, Z Zhang, J Barrett, B Tom
Machine Learning for Health, 12-34, 2022
Megbízások: US National Institutes of Health, UK Medical Research Council, UK Research …
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
Megbízások: US Department of Defense, US National Institutes of Health
Sex differences in post cardiac arrest discharge locations
V Jeanselme, M De-Arteaga, J Elmer, SM Perman, A Dubrawski
Resuscitation plus 8, 100185, 2021
Megbízások: US Department of Defense, US National Institutes of Health
Canonical Autocorrelation Analysis for Radiation Threat Detection
M De Arteaga
Megbízások: US National Science Foundation
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