Our research goal is to design systems that enable humans to teach tedious, repetitive, simple tasks to a computer. We propose here a learner/problem solver architecture for such ...
In this paper, we investigate the role of a biomedical dataset on the classification accuracy of an algorithm. We quantify the complexity of a biomedical dataset using five complex...
In this paper we consider the role of digital storytelling for creative empowerment of marginalized youth, through a threeyear program of workshops conducted in the context of Pal...
Ensemble techniques have been successfully applied in the context of supervised learning to increase the accuracy and stability of classification. Recently, analogous techniques fo...
We have developed an automated Japanese essay scoring system named jess. The system evaluates an essay from three features: (1) Rhetoric -- ease of reading, diversity of vocabular...