Author of the publication

Predicting Early Dropout: Calibration and Algorithmic Fairness Considerations

, , , and . (2021)cite arxiv:2103.09068Comment: 10 pages, Companion Proceedings 11th International Conference on Learning Analytics & Knowledge (LAK21).

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Gender Disparities in Child Custody Sentencing in Spain: a Data Driven Analysis., , , , and . ICAIL, page 237-246. ACM, (2023)Enhancing a recidivism prediction tool with machine learning: effectiveness and algorithmic fairness., and . ICAIL, page 210-214. ACM, (2021)A Causal Inference Study on the Effects of First Year Workload on the Dropout Rate of Undergraduates., , and . AIED (1), volume 13355 of Lecture Notes in Computer Science, page 15-27. Springer, (2022)Predicting Early Dropout: Calibration and Algorithmic Fairness Considerations., , , and . CoRR, (2021)Ultra-wideband channel estimation using multichannel sampling at the rate of innovation., , and . IST, page 328-333. IEEE, (2012)Risk assessment in complex data settings: algorithmic fairness and causal inference. Pompeu Fabra University, Spain, (2023)Efficiency and fairness in recurring data-driven risk assessments of violent recidivism., and . SAC, page 994-1002. ACM, (2021)Predicting Early Dropout: Calibration and Algorithmic Fairness Considerations, , , and . (2021)cite arxiv:2103.09068Comment: 10 pages, Companion Proceedings 11th International Conference on Learning Analytics & Knowledge (LAK21).A Comparative User Study of Human Predictions in Algorithm-Supported Recidivism Risk Assessment., , , , and . CoRR, (2022)