3 citations · 6 across the 5 of their papers we have counts for
5 papers
Let Trajectories Speak Out the Traffic Bottlenecks
Hui Luo, Zhifeng Bao, Gao Cong +2
Traffic bottlenecks are a set of road segments that have an unacceptable level of traffic caused by a poor balance between road capacity and traffic volume. A huge volume of trajec…
Energy consumption forecasting using a stacked nonparametric Bayesian approach
Dilusha Weeraddana, Nguyen Lu Dang Khoa, Lachlan O Neil +2
In this paper, the process of forecasting household energy consumption is studied within the framework of the nonparametric Gaussian Process (GP), using multiple short time series…
Deep Conversational Recommender Systems: A New Frontier for Goal-Oriented Dialogue Systems
Dai Hoang Tran, Quan Z. Sheng, Wei Emma Zhang +5
In recent years, the emerging topics of recommender systems that take advantage of natural language processing techniques have attracted much attention, and one of their applicatio…
Deep Autoencoder for Recommender Systems: Parameter Influence Analysis
Dai Hoang Tran, Zawar Hussain, Wei Emma Zhang +3
Recommender systems have recently attracted many researchers in the deep learning community. The state-of-the-art deep neural network models used in recommender systems are typical…
Online Anomaly Detection Systems Using Incremental Commute Time
Nguyen Lu Dang Khoa, Sanjay Chawla
Commute Time Distance (CTD) is a random walk based metric on graphs. CTD has found widespread applications in many domains including personalized search, collaborative filtering an…