50 citations · 51 across the 3 of their papers we have counts for
3 papers
An Empirical Investigation of Pre-Trained Deep Learning Model Reuse in the Scientific Process
Nicholas M. Synovic, Karolina Ryzka, Alessandra V. Vellucci Solari +3
Deep learning has achieved recognition for its impact within natural sciences, yet the prohibitive financial and technical cost of training models from scratch inhibit adoption. Fo…
Scaling up Copy Detection
Xian Li, Xin Luna Dong, Kenneth B. Lyons +2
Recent research shows that copying is prevalent for Deep-Web data and considering copying can significantly improve truth finding from conflicting values. However, existing copy de…
Truth Finding on the Deep Web: Is the Problem Solved?
Xian Li, Xin Luna Dong, Kenneth Lyons +2
The amount of useful information available on the Web has been growing at a dramatic pace in recent years and people rely more and more on the Web to fulfill their information need…