| Functional boxplots Y Sun, MG Genton Journal of Computational and Graphical Statistics 20 (2), 316-334, 2011 | 671 | 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 | 596 | 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 | 310 | 2017 |
| 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 | 271 | 2020 |
| 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 | 227 | 2018 |
| Geostatistics for large datasets Y Sun, B Li, MG Genton Advances and challenges in space-time modelling of natural events, 55-77, 2012 | 203 | 2012 |
| 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 | 168 | 2012 |
| Comparative study of machine learning methods for COVID-19 transmission forecasting A Dairi, F Harrou, A Zeroual, MM Hittawe, Y Sun Journal of biomedical informatics 118, 103791, 2021 | 159 | 2021 |
| 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 | 159 | 2019 |
| 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 | 149 | 2020 |
| 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 | 134 | 2010 |
| 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 | 130 | 2017 |
| 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-Statistical Journal 10 (1), 135-165, 2012 | 126 | 2012 |
| Adjusted functional boxplots for spatio‐temporal data visualization and outlier detection Y Sun, MG Genton Environmetrics 23 (1), 54-64, 2012 | 123 | 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 | 122 | 2015 |
| 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 | 116 | 2016 |
| Improved NN-Based Monitoring Schemes for Detecting Faults in PV Systems F Harrou, B Taghezouit, Y Sun IEEE Journal of Photovoltaics 9 (3), 811-821, 2019 | 114 | 2019 |
| Efficient wind power prediction using machine learning methods: A comparative study A Alkesaiberi, F Harrou, Y Sun Energies 15 (7), 2327, 2022 | 107 | 2022 |
| Short-term forecasting of photovoltaic solar power production using variational auto-encoder driven deep learning approach A Dairi, F Harrou, Y Sun, S Khadraoui Applied Sciences 10 (23), 8400, 2020 | 106 | 2020 |
| Simplicial band depth for multivariate functional data S López-Pintado, Y Sun, JK Lin, MG Genton Advances in Data Analysis and Classification 8, 321-338, 2014 | 104 | 2014 |
Dr. Fouzi Harrou (Top 2% World Scien...IEEE Senior MemberVerified email at ieee.org
