Nguyen Lu Dang Khoa

34 papers A* 1A 3B 1Journal 16Unranked 12
YearRankTypeTitle / Venue / Authors
2023 J jnl
CupMar: A deep learning model for personalized news recommendation based on contextual user-profile and multi-aspect article representation.
World Wide Web (WWW)
Dai Hoang Tran, Quan Z. Sheng, Wei Emma Zhang, Nguyen Hoang Tran, Nguyen Lu Dang Khoa
2023 J jnl
HeteGraph: graph learning in recommender systems via graph convolutional networks.
Neural Comput. Appl.
Dai Hoang Tran, Quan Z. Sheng, Wei Emma Zhang, Abdulwahab Aljubairy, Munazza Zaib, Salma Abdalla Hamad, Nguyen Hoang Tran, Nguyen Lu Dang Khoa
2022 J jnl
Deep Conversational Recommender Systems: Challenges and Opportunities.
Computer
Dai Hoang Tran, Quan Z. Sheng, Wei Emma Zhang, Salma Abdalla Hamad, Nguyen Lu Dang Khoa, Nguyen Hoang Tran
2022 J jnl
Let Trajectories Speak Out the Traffic Bottlenecks.
ACM Trans. Intell. Syst. Technol.
Hui Luo, Zhifeng Bao, Gao Cong, J. Shane Culpepper, Nguyen Lu Dang Khoa
2022 — conf
The Application Of Machine Learning To Paint Condition Assessment Using Hyperspectral Data.
WHISPERS
Ayoub Alayoub, Samer Abed El Rahim, Samir Mustapha, Darine Salam, Ali Tehrani, Nguyen Lu Dang Khoa
2021 — conf
Deep News Recommendation with Contextual User Profiling and Multifaceted Article Representation.
WISE (2)
Dai Hoang Tran, Salma Abdalla Hamad, Munazza Zaib, Abdulwahab Aljubairy, Quan Z. Sheng, Wei Emma Zhang, Nguyen Hoang Tran, Nguyen Lu Dang Khoa
2021 — conf
Dual-Stage Bayesian Sequence to Sequence Embeddings for Energy Demand Forecasting.
PAKDD (1)
Frances Cameron-Muller, Dilusha Weeraddana, Raghav Chalapathy, Nguyen Lu Dang Khoa
2021 J jnl
Let Trajectories Speak Out the Traffic Bottlenecks.
CoRR
Hui Luo, Zhifeng Bao, Gao Cong, J. Shane Culpepper, Nguyen Lu Dang Khoa
2020 J jnl
Deep Conversational Recommender Systems: A New Frontier for Goal-Oriented Dialogue Systems.
CoRR
Dai Hoang Tran, Quan Z. Sheng, Wei Emma Zhang, Salma Abdalla Hamad, Munazza Zaib, Nguyen Hoang Tran, Lina Yao, Nguyen Lu Dang Khoa
2020 — conf
Energy Consumption Forecasting Using a Stacked Nonparametric Bayesian Approach.
ECML/PKDD (5)
Dilusha Weeraddana, Nguyen Lu Dang Khoa, Lachlan O'Neil, Weihong Wang, Chen Cai
2020 J jnl
Energy consumption forecasting using a stacked nonparametric Bayesian approach.
CoRR
Dilusha Weeraddana, Nguyen Lu Dang Khoa, Lachlan O'Neil, Weihong Wang, Chen Cai
2020 — conf
Long-Term Water Pipe Condition Assessment: A Semiparametric Model Using Gaussian Process and Survival Analysis.
PAKDD (2)
Dilusha Weeraddana, Harini Hapuarachchi, Lakshitha Kumarapperuma, Nguyen Lu Dang Khoa, Chen Cai
2020 A* conf
Robust Deep Learning Methods for Anomaly Detection.
KDD
Raghavendra Chalapathy, Nguyen Lu Dang Khoa, Sanjay Chawla
2019 A conf
Concept Drift Adaption for Online Anomaly Detection in Structural Health Monitoring.
CIKM
Hongda Tian, Nguyen Lu Dang Khoa, Ali Anaissi, Yang Wang, Fang Chen
2019 J jnl
Deep Autoencoder for Recommender Systems: Parameter Influence Analysis.
CoRR
Dai Hoang Tran, Zawar Hussain, Wei Emma Zhang, Nguyen Lu Dang Khoa, Nguyen Hoang Tran, Quan Z. Sheng
2019 J jnl
Incremental commute time and its online applications.
Pattern Recognit.
Nguyen Lu Dang Khoa, Yang Wang, Sanjay Chawla
2019 — conf
Online Data Fusion Using Incremental Tensor Learning.
PAKDD (1)
Nguyen Lu Dang Khoa, Hongda Tian, Yang Wang, Fang Chen
2018 J jnl
A Tensor-Based Structural Damage Identification and Severity Assessment.
Sensors
Ali Anaissi, Mehrisadat Makki Alamdari, Thierry Rakotoarivelo, Nguyen Lu Dang Khoa
2018 J jnl
A Tensor-based Structural Health Monitoring Approach for Aeroservoelastic Systems.
CoRR
Prasad Cheema, Nguyen Lu Dang Khoa, Moray Kidd, Gareth A. Vio
2018 J jnl
Adaptive Online One-Class Support Vector Machines with Applications in Structural Health Monitoring.
ACM Trans. Intell. Syst. Technol.
Ali Anaissi, Nguyen Lu Dang Khoa, Thierry Rakotoarivelo, Mehrisadat Makki Alamdari, Yang Wang
2018 J jnl
Automated parameter tuning in one-class support vector machine: an application for damage detection.
Int. J. Data Sci. Anal.
Ali Anaissi, Nguyen Lu Dang Khoa, Yang Wang
2018 — ch.
Structural Health Monitoring Using Machine Learning Techniques and Domain Knowledge Based Features.
Human and Machine Learning
Nguyen Lu Dang Khoa, Mehrisadat Makki Alamdari, Thierry Rakotoarivelo, Ali Anaissi, Yang Wang
2017 — conf
Adaptive One-Class Support Vector Machine for Damage Detection in Structural Health Monitoring.
PAKDD (1)
Ali Anaissi, Nguyen Lu Dang Khoa, Samir Mustapha, Mehrisadat Makki Alamdari, Ali Braytee, Yang Wang, Fang Chen
2017 — conf
Self-advised Incremental One-Class Support Vector Machines: An Application in Structural Health Monitoring.
ICONIP (1)
Ali Anaissi, Nguyen Lu Dang Khoa, Thierry Rakotoarivelo, Mehri Makki Alamdari, Yang Wang
2017 A conf
Smart Infrastructure Maintenance Using Incremental Tensor Analysis: Extended Abstract.
CIKM
Nguyen Lu Dang Khoa, Ali Anaissi, Yang Wang
2016 — conf
Incremental Commute Time Using Random Walks and Online Anomaly Detection.
ECML/PKDD (1)
Nguyen Lu Dang Khoa, Sanjay Chawla
2016 A conf
On Structural Health Monitoring Using Tensor Analysis and Support Vector Machine with Artificial Negative Data.
CIKM
Prasad Cheema, Nguyen Lu Dang Khoa, Mehrisadat Makki Alamdari, Wei Liu, Yang Wang, Fang Chen, Peter Runcie
2015 J jnl
A scalable approach to spectral clustering with SDD solvers.
J. Intell. Inf. Syst.
Nguyen Lu Dang Khoa, Sanjay Chawla
2015 — conf
On Damage Identification in Civil Structures Using Tensor Analysis.
PAKDD (1)
Nguyen Lu Dang Khoa, Bang Zhang, Yang Wang, Wei Liu, Fang Chen, Samir Mustapha, Peter Runcie
2012 B conf
Large Scale Spectral Clustering Using Resistance Distance and Spielman-Teng Solvers.
Discovery Science
Nguyen Lu Dang Khoa, Sanjay Chawla
2011 J jnl
Large Scale Spectral Clustering Using Approximate Commute Time Embedding
CoRR
Nguyen Lu Dang Khoa, Sanjay Chawla
2011 J jnl
Online Anomaly Detection Systems Using Incremental Commute Time
CoRR
Nguyen Lu Dang Khoa, Sanjay Chawla
2010 — conf
Network Anomaly Detection Using a Commute Distance Based Approach.
ICDM Workshops
Nguyen Lu Dang Khoa, Tahereh Babaie, Sanjay Chawla, Zainab R. Zaidi
2010 — conf
Robust Outlier Detection Using Commute Time and Eigenspace Embedding.
PAKDD (2)
Nguyen Lu Dang Khoa, Sanjay Chawla