Justin Otto Barber

According to our database, Justin Otto Barber authored at least 2 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

A Bias-Aware Deep Learning Framework for Hierarchical Microcredential Classification.

Mohammad Arif Ul Alam, Geeta Verma, Eumie Jhong, Justin Otto Barber, Ashis Kumer Biswas

Proceedings of the 18th International Conference on Educational Data Mining, 2025

2021

Improving Ethical Outcomes with Machine-in-the-Loop: Broadening Human Understanding of Data Annotations.

Ashis Kumer Biswas, Geeta Verma, Justin Otto Barber

CoRR, 2021