12 citations · 45 across the 12 of their papers we have counts for
3 papers · 1 filter
Exploiting Class Learnability in Noisy Data
Matthew Klawonn, Eric Heim, James Hendler
In many domains, collecting sufficient labeled training data for supervised machine learning requires easily accessible but noisy sources, such as crowdsourcing services or tagged…
Knowledge Integration for Disease Characterization: A Breast Cancer Example
Oshani Seneviratne, Sabbir M. Rashid, Shruthi Chari +4
With the rapid advancements in cancer research, the information that is useful for characterizing disease, staging tumors, and creating treatment and survivorship plans has been ch…
Feature-based reformulation of entities in triple pattern queries
Amar Viswanathan, Geeth de Mel, James A. Hendler
Knowledge graphs encode uniquely identifiable entities to other entities or literal values by means of relationships, thus enabling semantically rich querying over the stored data.…