10 citations · 11 across the 3 of their papers we have counts for
5 papers
Short-term Traffic Prediction with Deep Neural Networks: A Survey
Kyungeun Lee, Moonjung Eo, Euna Jung +2
In modern transportation systems, an enormous amount of traffic data is generated every day. This has led to rapid progress in short-term traffic prediction (STTP), in which deep l…
Interpreting Neural Ranking Models using Grad-CAM
Jaekeol Choi, Jungin Choi, Wonjong Rhee
Recently, applying deep neural networks in IR has become an important and timely topic. For instance, Neural Ranking Models(NRMs) have shown promising performance compared to the t…
DEEP-BO for Hyperparameter Optimization of Deep Networks
Hyunghun Cho, Yongjin Kim, Eunjung Lee +3
The performance of deep neural networks (DNN) is very sensitive to the particular choice of hyper-parameters. To make it worse, the shape of the learning curve can be significantly…
Subtask Gated Networks for Non-Intrusive Load Monitoring
Changho Shin, Sunghwan Joo, Jaeryun Yim +3
Non-intrusive load monitoring (NILM), also known as energy disaggregation, is a blind source separation problem where a household's aggregate electricity consumption is broken down…
A Downstream Crosstalk Channel Estimation Method for Mix of Legacy and Vectoring-Enabled VDSL
Mehdi Mohseni, Wonjong Rhee, Georgios Ginis
With the latest technology of vectoring, DSL data rates in the order of 100Mbps have become a reality that is under field deployment. The key is to cancel crosstalk from other line…