Online prediction of time series data with kernels C Richard, JCM Bermudez, P Honeine IEEE Transactions on Signal Processing 57 (3), 1058-1067, 2008 | 554 | 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 | 395 | 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 | 212 | 2012 |
Analyzing the expressive power of graph neural networks in a spectral perspective M Balcilar, G Renton, P Héroux, B Gaüzère, S Adam, P Honeine International Conference on Learning Representations, 2020 | 175 | 2020 |
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 | 146 | 2014 |
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 | 145 | 2010 |
Maximum correntropy unscented filter X Liu, B Chen, B Xu, Z Wu, P Honeine International Journal of Systems Science 48 (8), 1607-1615, 2017 | 130 | 2017 |
Online kernel principal component analysis: A reduced-order model P Honeine IEEE transactions on pattern analysis and machine intelligence 34 (9), 1814-1826, 2011 | 128 | 2011 |
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 | 126* | 2014 |
Preimage problem in kernel-based machine learning P Honeine, C Richard IEEE Signal Processing Magazine 28 (2), 77-88, 2011 | 126 | 2011 |
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 | 122 | 2021 |
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 | 105 | 2014 |
Nonnegative least-mean-square algorithm J Chen, C Richard, JCM Bermudez, P Honeine IEEE Transactions on Signal Processing 59 (11), 5225-5235, 2011 | 92 | 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 | 89 | 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 | 81 | 2011 |
High-level Prior-based Loss Functions for Medical Image Segmentation: A Survey R El Jurdi, C Petitjean, P Honeine, V Cheplygina, F Abdallah arXiv preprint arXiv:2011.08018, 2020 | 78 | 2020 |
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 | 76 | 2011 |
Bridging the gap between spectral and spatial domains in graph neural networks M Balcilar, G Renton, P Héroux, B Gauzere, S Adam, P Honeine arXiv preprint arXiv:2003.11702, 2020 | 67 | 2020 |
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 | 64 | 2012 |
Bb-unet: U-net with bounding box prior R El Jurdi, C Petitjean, P Honeine, F Abdallah IEEE Journal of Selected Topics in Signal Processing 14 (6), 1189-1198, 2020 | 62 | 2020 |