Ying Sun
Ying Sun
Associate Professor of Statistics, King Abdullah University of Science and Technology (KAUST)
Verified email at - Homepage
Cited by
Cited by
Functional boxplots
Y Sun, MG Genton
Journal of Computational and Graphical Statistics 20 (2), 316-334, 2011
Deep learning methods for forecasting COVID-19 time-Series data: A Comparative study
A Zeroual, F Harrou, A Dairi, Y Sun
Chaos, Solitons & Fractals 140, 110121, 2020
Statistical fault detection in photovoltaic systems
E Garoudja, F Harrou, Y Sun, K Kara, A Chouder, S Silvestre
Solar Energy 150, 485-499, 2017
Geostatistics for large datasets
Y Sun, B Li, MG Genton
Advances and challenges in space-time modelling of natural events, 55-77, 2012
Reliable fault detection and diagnosis of photovoltaic systems based on statistical monitoring approaches
F Harrou, Y Sun, B Taghezouit, A Saidi, ME Hamlati
Renewable energy 116, 22-37, 2018
A valid Matérn class of cross-covariance functions for multivariate random fields with any number of components
TV Apanasovich, MG Genton, Y Sun
Journal of the American Statistical Association 107 (497), 180-193, 2012
Titanium phosphonate based metal–organic frameworks with hierarchical porosity for enhanced photocatalytic hydrogen evolution
H Li, Y Sun, ZY Yuan, YP Zhu, TY Ma
Angewandte Chemie 130 (12), 3276-3281, 2018
Gaussian Processes for Short-Term Traffic Volume Forecasting
Y Xie, K Zhao, Y Sun, D Chen
Transportation Research Record: Journal of the Transportation Research Board …, 2010
Adjusted functional boxplots for spatio‐temporal data visualization and outlier detection
Y Sun, MG Genton
Environmetrics 23 (1), 54-64, 2012
A survey of spatial extremes: Measuring spatial dependence and modeling spatial effects
D Cooley, J Cisewski, RJ Erhardt, E Mannshardt, S Jeon, BO Omolo, ...
REVSTAT-Statistical Journal 10 (1), 135–165-135–165, 2012
Improved principal component analysis for anomaly detection: Application to an emergency department
F Harrou, F Kadri, S Chaabane, C Tahon, Y Sun
Computers & Industrial Engineering 88, 63-77, 2015
Vision-based fall detection system for improving safety of elderly people
F Harrou, N Zerrouki, Y Sun, A Houacine
IEEE Instrumentation & Measurement Magazine 20 (6), 49-55, 2017
An unsupervised monitoring procedure for detecting anomalies in photovoltaic systems using a one-class Support Vector Machine
F Harrou, A Dairi, B Taghezouit, Y Sun
Solar Energy 179, 48-58, 2019
Seasonal ARMA-based SPC charts for anomaly detection: Application to emergency department systems
F Kadri, F Harrou, S Chaabane, Y Sun, C Tahon
Neurocomputing 173, 2102-2114, 2016
Simplicial band depth for multivariate functional data
S López-Pintado, Y Sun, JK Lin, MG Genton
Advances in Data Analysis and Classification 8 (3), 321-338, 2014
Unsupervised obstacle detection in driving environments using deep-learning-based stereovision
A Dairi, F Harrou, M Senouci, Y Sun
Robotics and Autonomous Systems 100, 287-301, 2018
Obstacle Detection for Intelligent Transportation Systems Using Deep Stacked Autoencoder and -Nearest Neighbor Scheme
A Dairi, F Harrou, Y Sun, M Senouci
IEEE Sensors Journal 18 (12), 5122-5132, 2018
Early detection of Parkinson’s disease using deep learning and machine learning
W Wang, J Lee, F Harrou, Y Sun
IEEE Access 8, 147635-147646, 2020
Reliable solar irradiance prediction using ensemble learning-based models: A comparative study
J Lee, W Wang, F Harrou, Y Sun
Energy Conversion and Management 208, 112582, 2020
Exact fast computation of band depth for large functional datasets: How quickly can one million curves be ranked?
Y Sun, MG Genton, DW Nychka
Stat 1 (1), 68-74, 2012
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