4 citations · 8 across the 5 of their papers we have counts for
5 papers
An Empirical Study of Accuracy, Fairness, Explainability, Distributional Robustness, and Adversarial Robustness
Moninder Singh, Gevorg Ghalachyan, Kush R. Varshney +1
To ensure trust in AI models, it is becoming increasingly apparent that evaluation of models must be extended beyond traditional performance metrics, like accuracy, to other dimens…
ADW: Blockchain-enabled Small-scale Farm Digitization
Nelson Bore, Andrew Kinai, Peninah Waweru +5
Farm records hold the static, temporal, and longitudinal details of the farms. For small-scale farming, the ability to accurately capture these records plays a critical role in for…
Preservation of Anomalous Subgroups On Machine Learning Transformed Data
Samuel C. Maina, Reginald E. Bryant, William O. Goal +3
In this paper, we investigate the effect of machine learning based anonymization on anomalous subgroup preservation. In particular, we train a binary classifier to discover the mos…
Analyzing Bias in Sensitive Personal Information Used to Train Financial Models
Reginald Bryant, Celia Cintas, Isaac Wambugu +2
Bias in data can have unintended consequences that propagate to the design, development, and deployment of machine learning models. In the financial services sector, this can resul…
CommuniSense: Crowdsourcing Road Hazards in Nairobi
Darshan Santani, Jidraph Njuguna, Tierra Bills +4
Nairobi is one of the fastest growing metropolitan cities and a major business and technology powerhouse in Africa. However, Nairobi currently lacks monitoring technologies to obta…