CNNComparator: Comparative Analytics of Convolutional Neural Networks

no code implementations • 15 Oct 2017 • Haipeng Zeng, Hammad Haleem, Xavier Plantaz, Nan Cao, Huamin Qu

Often, it is difficult to explore the relationships between the learned parameters and the model performance due to a large number of parameters and different random initializations.

Evaluating the Readability of Force Directed Graph Layouts: A Deep Learning Approach

no code implementations • 2 Aug 2018 • Hammad Haleem, Yong Wang, Abishek Puri, Sahil Wadhwa, Huamin Qu

In this paper, we present a novel deep learning-based approach to evaluate the readability of graph layouts by directly using graph images.