| Online prediction of time series data with kernels C Richard, JCM Bermudez, P Honeine IEEE Transactions on Signal Processing 57 (3), 1058-1067, 2008 | 520 | 2008 |
| Multiple instance learning for histopathological breast cancer image classification PJ Sudharshan, C Petitjean, F Spanhol, LE Oliveira, L Heutte, P Honeine Expert Systems with Applications 117, 103-111, 2019 | 293 | 2019 |
| Nonlinear unmixing of hyperspectral data based on a linear-mixture/nonlinear-fluctuation model J Chen, C Richard, P Honeine IEEE Transactions on Signal Processing 61 (2), 480-492, 2012 | 201 | 2012 |
| Testing stationarity with surrogates: A time-frequency approach P Borgnat, P Flandrin, P Honeine, C Richard, J Xiao IEEE Transactions on Signal Processing 58 (7), 3459-3470, 2010 | 137 | 2010 |
| ell_p-norms in One-Class Classification for Intrusion Detection in SCADA Systems P Nader, P Honeine, P Beauseroy Industrial Informatics, IEEE Transactions on 10 (4), 2308-2317, 2014 | 123* | 2014 |
| Target tracking using machine learning and Kalman filter in wireless sensor networks S Mahfouz, F Mourad-Chehade, P Honeine, J Farah, H Snoussi IEEE Sensors Journal, 2014 | 123 | 2014 |
| Preimage problem in kernel-based machine learning P Honeine, C Richard IEEE Signal Processing Magazine 28 (2), 77-88, 2011 | 117 | 2011 |
| Online kernel principal component analysis: A reduced-order model P Honeine IEEE transactions on pattern analysis and machine intelligence 34 (9), 1814-1826, 2011 | 116 | 2011 |
| Nonlinear Estimation of Material Abundances in Hyperspectral Images With L1-Norm Spatial Regularization J Chen, C Richard, P Honeine IEEE Transactions on Geoscience and Remote Sensing 52 (5), 2654-2665, 2014 | 103 | 2014 |
| Analyzing the expressive power of graph neural networks in a spectral perspective M Balcilar, R Guillaume, P Héroux, B Gaüzère, S Adam, P Honeine Proceedings of the International Conference on Learning Representations (ICLR), 2021 | 89 | 2021 |
| Maximum correntropy unscented filter X Liu, B Chen, B Xu, Z Wu, P Honeine International Journal of Systems Science 48 (8), 1607-1615, 2017 | 89 | 2017 |
| Nonnegative least-mean-square algorithm J Chen, C Richard, JCM Bermudez, P Honeine IEEE Transactions on Signal Processing 59 (11), 5225-5235, 2011 | 84 | 2011 |
| Hyperspectral unmixing in presence of endmember variability, nonlinearity, or mismodeling effects A Halimi, P Honeine, JM Bioucas-Dias IEEE Transactions on Image Processing 25 (10), 4565-4579, 2016 | 78 | 2016 |
| Wireless sensor networks in biomedical: Body area networks P Honeine, F Mourad, M Kallas, H Snoussi, H Amoud, C Francis International Workshop on Systems, Signal Processing and their Applications …, 2011 | 78 | 2011 |
| Geometric unmixing of large hyperspectral images: A barycentric coordinate approach P Honeine, C Richard IEEE Transactions on Geoscience and Remote Sensing 50 (6), 2185-2195, 2011 | 73 | 2011 |
| On-line nonlinear sparse approximation of functions P Honeine, C Richard, JCM Bermudez 2007 IEEE International Symposium on Information Theory, 956-960, 2007 | 57 | 2007 |
| Breaking the limits of message passing graph neural networks M Balcilar, P Héroux, B Gauzere, P Vasseur, S Adam, P Honeine International Conference on Machine Learning, 599-608, 2021 | 55 | 2021 |
| Non-parametric and semi-parametric RSSI/distance modeling for target tracking in wireless sensor networks S Mahfouz, F Mourad-Chehade, P Honeine, J Farah, H Snoussi IEEE Sensors Journal 16 (7), 2115-2126, 2015 | 52 | 2015 |
| Multi-class SVM classification combined with kernel PCA feature extraction of ECG signals M Kallas, C Francis, L Kanaan, D Merheb, P Honeine, H Amoud 2012 19th International Conference on Telecommunications (ICT), 1-5, 2012 | 50 | 2012 |
| Analyzing sparse dictionaries for online learning with kernels P Honeine IEEE Transactions on Signal Processing 63 (23), 6343-6353, 2015 | 48 | 2015 |
Hichem SnoussiProfessor of Signal and Image Processing, University of Technology of Troyes在 utt.fr 的电子邮件经过验证
