4 citations · 7 across the 4 of their papers we have counts for
4 papers
Set Visualizations for Comparing and Evaluating Machine Learning Models
Liudas Panavas, Tarik Crnovrsanin, Racquel Fygenson +4
Machine learning practitioners often need to compare multiple models to select the best one for their application. However, current methods of comparing models fall short because t…
EXTRA: Explaining Team Recommendation in Networks
Qinghai Zhou, Liangyue Li, Nan Cao +2
State-of-the-art in network science of teams offers effective recommendation methods to answer questions like who is the best replacement, what is the best team expansion strategy,…
Kinetic and Cyber
Alexander Kott, Norbou Buchler, Kristin E. Schaefer
We compare and contrast situation awareness in cyber warfare and in conventional, kinetic warfare. Situation awareness (SA) has a far longer history of study and applications in su…
Replacing the Irreplaceable: Fast Algorithms for Team Member Recommendation
Liangyue Li, Hanghang Tong, Nan Cao +3
In this paper, we study the problem of Team Member Replacement: given a team of people embedded in a social network working on the same task, find a good candidate who can fit in t…