Functional boxplots Y Sun, MG Genton Journal of Computational and Graphical Statistics 20 (2), 316-334, 2011 | 406 | 2011 |
Geostatistics for large datasets Y Sun, B Li, MG Genton Advances and challenges in space-time modelling of natural events, 55-77, 2012 | 145 | 2012 |
Statistical fault detection in photovoltaic systems E Garoudja, F Harrou, Y Sun, K Kara, A Chouder, S Silvestre Solar Energy 150, 485-499, 2017 | 141 | 2017 |
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 | 113 | 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 | 106 | 2018 |
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 | 98 | 2018 |
A survey of spatial extremes: Measuring spatial dependence and modeling spatial effects D Cooley, J Cisewski, RJ Erhardt, S Jeon, E Mannshardt, BO Omolo, ... Revstat 10 (1), 135-165, 2012 | 97 | 2012 |
Adjusted functional boxplots for spatio‐temporal data visualization and outlier detection Y Sun, MG Genton Environmetrics 23 (1), 54-64, 2012 | 94 | 2012 |
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 | 81 | 2010 |
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 | 75 | 2015 |
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 | 66 | 2014 |
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 | 64 | 2016 |
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 | 55 | 2017 |
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 | 50 | 2012 |
Surface boxplots MG Genton, C Johnson, K Potter, G Stenchikov, Y Sun Stat 3 (1), 1-11, 2014 | 45 | 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 | 42 | 2018 |
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 | 41 | 2020 |
Statistically and computationally efficient estimating equations for large spatial datasets Y Sun, ML Stein Journal of Computational and Graphical Statistics 25 (1), 187-208, 2016 | 34 | 2016 |
Likelihood approximation with hierarchical matrices for large spatial datasets A Litvinenko, Y Sun, MG Genton, DE Keyes Computational Statistics & Data Analysis 137, 115-132, 2019 | 32 | 2019 |
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 | 31 | 2019 |