15 citations · 15 across the 2 of their papers we have counts for
2 papers
cs.LG2023
A Scalable Technique for Weak-Supervised Learning with Domain Constraints
Sudhir Agarwal, Anu Sreepathy, Lalla Mouatadid
We propose a novel scalable end-to-end pipeline that uses symbolic domain knowledge as constraints for learning a neural network for classifying unlabeled data in a weak-supervised…
cs.AI2012★ 15 cited
Enabling Semantic Analysis of User Browsing Patterns in the Web of Data
Julia Hoxha, Martin Junghans, Sudhir Agarwal
A useful step towards better interpretation and analysis of the usage patterns is to formalize the semantics of the resources that users are accessing in the Web. We focus on this…