Paul Honeine - RankMe

161 papers A* 3B 8C 5Misc 9Journal 75Unranked 59

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Semantic image segmentation using multi-view graph neural network. Signal Process. Image Commun. Elie Karam, Nisrine Jrad, Patty Coupeau, Jean-Baptiste Fasquel, Fahed Abdallah, Paul Honeine
2026	J	`jnl`	Spectral-Spatial Contrastive Learning Framework for Regression on Hyperspectral Data. CoRR Mohamad Dhaini, Paul Honeine, Maxime Berar, Antonin Van Exem
2025	B	`conf`	Deep Joint Distribution Optimal Transport for Universal Domain Adaptation on Time Series. IJCNN Romain Mussard, Fannia Pacheco, Maxime Berar, Gilles Gasso, Paul Honeine
2025	—	`conf`	Insights on Using Graph Neural Networks for Sulcal Graphs Predictive Models. GbRPR Alexis Imbert, Benoit Gaüzère, Sylvain Takerkart, Guillaume Auzias, Paul Honeine
2025	J	`jnl`	Mamba base PKD for efficient knowledge compression. CoRR José Medina, Amnir Hadachi, Paul Honeine, Abdelaziz Bensrhair
2025	Misc	`conf`	Mamba-PKD: A Framework for Efficient and Scalable Model Compression in Image Classification. SAC José Medina, Amnir Hadachi, Paul Honeine, Abdelaziz Bensrhair
2025	J	`jnl`	Optimal Transport and Adaptive Thresholding for Universal Domain Adaptation on Time Series. CoRR Romain Mussard, Fannia Pacheco, Maxime Berar, Gilles Gasso, Paul Honeine
2025	J	`jnl`	Pre-image free graph machine learning with Normalizing Flows. Pattern Recognit. Lett. Clément Glédel, Benoit Gaüzère, Paul Honeine
2025	J	`jnl`	Support Vector Machines With Uncertainty Option and Incremental Sampling for Kriging. Expert Syst. J. Knowl. Eng. Chen Xiong, Paul Honeine, Maxime Berar, Antonin Van Exem
2025	—	`conf`	Universal Domain Adaptation Benchmark for Time Series Data Representation. EUSIPCO Romain Mussard, Fannia Pacheco, Maxime Berar, Gilles Gasso, Paul Honeine
2025	J	`jnl`	Universal Domain Adaptation Benchmark for Time Series Data Representation. CoRR Romain Mussard, Fannia Pacheco, Maxime Berar, Gilles Gasso, Paul Honeine
2024	Misc	`conf`	Contrastive Learning for Regression on Hyperspectral Data. ICASSP Mohamad Dhaini, Maxime Berar, Paul Honeine, Antonin Van Exem
2024	J	`jnl`	Contrastive Learning for Regression on Hyperspectral Data. CoRR Mohamad Dhaini, Maxime Berar, Paul Honeine, Antonin Van Exem
2024	J	`jnl`	Fully residual Unet-based semantic segmentation of automotive fisheye images: a comparison of rectangular and deformable convolutions. Multim. Tools Appl. Rosana El Jurdi, Ahmed Rida Sekkat, Yohan Dupuis, Pascal Vasseur, Paul Honeine
2024	J	`jnl`	Theoretical insights on the pre-image resolution in machine learning. Pattern Recognit. Paul Honeine
2023	—	`conf`	Bridging Distinct Spaces in Graph-Based Machine Learning. ACPR (2) Linlin Jia, Xiao Ning, Benoit Gaüzère, Paul Honeine, Kaspar Riesen
2023	—	`conf`	Graph Normalizing Flows to Pre-image Free Machine Learning for Regression. GbRPR Clément Glédel, Benoit Gaüzère, Paul Honeine
2023	J	`jnl`	Indoor Scene Recognition Mechanism Based on Direction-Driven Convolutional Neural Networks. Sensors Andrea Daou, Jean-Baptiste Pothin, Paul Honeine, Abdelaziz Bensrhair
2023	J	`jnl`	Unsupervised domain adaptation for regression using dictionary learning. Knowl. Based Syst. Mohamad Dhaini, Maxime Berar, Paul Honeine, Antonin Van Exem
2022	J	`jnl`	Effect of Prior-based Losses on Segmentation Performance: A Benchmark. CoRR Rosana El Jurdi, Caroline Petitjean, Veronika Cheplygina, Paul Honeine, Fahed Abdallah
2022	J	`jnl`	End-to-End Convolutional Autoencoder for Nonlinear Hyperspectral Unmixing. Remote. Sens. Mohamad Dhaini, Maxime Berar, Paul Honeine, Antonin Van Exem
2022	J	`jnl`	Graph kernels based on linear patterns: Theoretical and experimental comparisons. Expert Syst. Appl. Linlin Jia, Benoit Gaüzère, Paul Honeine
2022	J	`jnl`	SynWoodScape: Synthetic Surround-View Fisheye Camera Dataset for Autonomous Driving. IEEE Robotics Autom. Lett. Ahmed Rida Sekkat, Yohan Dupuis, Varun Ravi Kumar, Hazem Rashed, Senthil Kumar Yogamani, Pascal Vasseur, Paul Honeine
2022	J	`jnl`	SynWoodScape: Synthetic Surround-view Fisheye Camera Dataset for Autonomous Driving. CoRR Ahmed Rida Sekkat, Yohan Dupuis, Varun Ravi Kumar, Hazem Rashed, Senthil Kumar Yogamani, Pascal Vasseur, Paul Honeine
2021	—	`conf`	A Surprisingly Effective Perimeter-based Loss for Medical Image Segmentation. MIDL Rosana El Jurdi, Caroline Petitjean, Paul Honeine, Veronika Cheplygina, Fahed Abdallah
2021	A*	`conf`	Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective. ICLR Muhammet Balcilar, Guillaume Renton, Pierre Héroux, Benoit Gaüzère, Sébastien Adam, Paul Honeine
2021	A*	`conf`	Breaking the Limits of Message Passing Graph Neural Networks. ICML Muhammet Balcilar, Pierre Héroux, Benoit Gaüzère, Pascal Vasseur, Sébastien Adam, Paul Honeine
2021	J	`jnl`	Breaking the Limits of Message Passing Graph Neural Networks. CoRR Muhammet Balcilar, Pierre Héroux, Benoit Gaüzère, Pascal Vasseur, Sébastien Adam, Paul Honeine
2021	J	`jnl`	High-level prior-based loss functions for medical image segmentation: A survey. Comput. Vis. Image Underst. Rosana El Jurdi, Caroline Petitjean, Paul Honeine, Veronika Cheplygina, Fahed Abdallah
2021	J	`jnl`	Symbols Detection and Classification using Graph Neural Networks. Pattern Recognit. Lett. Guillaume Renton, Muhammet Balcilar, Pierre Héroux, Benoit Gaüzère, Paul Honeine, Sébastien Adam
2021	J	`jnl`	graphkit-learn: A Python library for graph kernels based on linear patterns. Pattern Recognit. Lett. Linlin Jia, Benoit Gaüzère, Paul Honeine
2020	—	`conf`	A Graph Pre-image Method Based on Graph Edit Distances. S+SSPR Linlin Jia, Benoit Gaüzère, Paul Honeine
2020	—	`conf`	A Metric Learning Approach to Graph Edit Costs for Regression. S+SSPR Linlin Jia, Benoit Gaüzère, Florian Yger, Paul Honeine
2020	J	`jnl`	An Evidential Framework for Localization of Sensors in Indoor Environments. Sensors Daniel AlShamaa, Farah Mourad-Chehade, Paul Honeine, Aly Chkeir
2020	J	`jnl`	BB-UNet: U-Net With Bounding Box Prior. IEEE J. Sel. Top. Signal Process. Rosana El Jurdi, Caroline Petitjean, Paul Honeine, Fahed Abdallah
2020	J	`jnl`	Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks. CoRR Muhammet Balcilar, Guillaume Renton, Pierre Héroux, Benoit Gaüzère, Sébastien Adam, Paul Honeine
2020	J	`jnl`	Fusion of Multiple Mobility and Observation Models for Indoor Zoning-Based Sensor Tracking. IEEE Trans. Aerosp. Electron. Syst. Daniel AlShamaa, Farah Mourad-Chehade, Paul Honeine, Aly Chkeir
2020	J	`jnl`	High-level Prior-based Loss Functions for Medical Image Segmentation: A Survey. CoRR Rosana El Jurdi, Caroline Petitjean, Paul Honeine, Veronika Cheplygina, Fahed Abdallah
2020	J	`jnl`	Incoherent dictionary learning via mixed-integer programming and hybrid augmented Lagrangian. Digit. Signal Process. Yuan Liu, Stéphane Canu, Paul Honeine, Su Ruan
2020	J	`jnl`	Interpretable time series kernel analytics by pre-image estimation. Artif. Intell. Thi Phuong Thao Tran, Ahlame Douzal Chouakria, Saeed Varasteh Yazdi, Paul Honeine, Patrick Gallinari
2020	—	`conf`	Investigating CoordConv for Fully and Weakly Supervised Medical Image Segmentation. IPTA Rosana El Jurdi, Thomas Dargent, Caroline Petitjean, Paul Honeine, Fahed Abdallah
2020	Misc	`conf`	Pixel-Wise Linear/Nonlinear Nonnegative Matrix Factorization for Unmixing of Hyperspectral Data. ICASSP Fei Zhu, Paul Honeine, Jie Chen
2020	J	`jnl`	SimilCatch: Enhanced social spammers detection on Twitter using Markov Random Fields. Inf. Process. Manag. Nour El Mawass, Paul Honeine, Laurent Vercouter
2020	J	`jnl`	Statistical learning for sensor localization in wireless networks. CoRR Daniel AlShamaa, Farah Chehade, Paul Honeine
2020	A*	`conf`	The OmniScape Dataset. ICRA Ahmed Rida Sekkat, Yohan Dupuis, Pascal Vasseur, Paul Honeine
2019	B	`conf`	A Hidden Markov Model for Indoor Trajectory Tracking of Elderly People. SAS Daniel AlShamaa, Aly Chkeir, Farah Mourad-Chehade, Paul Honeine
2019	J	`jnl`	Mixed Integer Programming For Sparse Coding: Application to Image Denoising. IEEE Trans. Computational Imaging Yuan Liu, Stéphane Canu, Paul Honeine, Su Ruan
2019	J	`jnl`	Multiple instance learning for histopathological breast cancer image classification. Expert Syst. Appl. P. J. Sudharshan, Caroline Petitjean, Fabio A. Spanhol, Luiz Eduardo Soares de Oliveira, Laurent Heutte, Paul Honeine
2019	—	`conf`	Performance Evaluation of State-of-the-Art Filtering Criteria Applied to SIFT Features. ISSPIT Silvère Konlambigue, Jean-Baptiste Pothin, Paul Honeine, Abdelaziz Bensrhair
2018	—	`conf`	A Weighted Kernel-Based Hierarchical Classification Method for Zoning of Sensors in Indoor Wireless Networks. SPAWC Daniel AlShamaa, Farah Mourad-Chehade, Paul Honeine
2018	J	`jnl`	A hierarchical classification method using belief functions. Signal Process. Daniel AlShamaa, Farah Mourad-Chehade, Paul Honeine
2018	—	`conf`	Decentralized Sensor Localization by Decision Fusion of RSSI and Mobility in Indoor Environments. EUSIPCO Daniel AlShamaa, Farah Mourad-Chehade, Paul Honeine
2018	—	`conf`	Fast and Accurate Gaussian Pyramid Construction by Extended Box Filtering. EUSIPCO Silvère Konlambigue, Jean-Baptiste Pothin, Paul Honeine, Abdelaziz Bensrhair
2018	—	`conf`	K-SVD with a Real ℓ0 Optimization: Application to Image Denoising. MLSP Yuan Liu, Stéphane Canu, Paul Honeine, Su Ruan
2018	—	`conf`	Localization of Sensors in Indoor Wireless Networks: An Observation Model Using WiFi RSS. NTMS Daniel AlShamaa, Farah Mourad-Chehade, Paul Honeine
2018	—	`conf`	Mobility-based Tracking Using WiFi RSS in Indoor Wireless Sensor Networks. NTMS Daniel AlShamaa, Farah Mourad-Chehade, Paul Honeine
2018	J	`jnl`	One-Class Classification Framework Based on Shrinkage Methods. J. Signal Process. Syst. Patric Nader, Paul Honeine, Pierre Beauseroy
2018	—	`conf`	Supervised Classification of Social Spammers using a Similarity-based Markov Random Field Approach. MISNC Nour El Mawass, Paul Honeine, Laurent Vercouter
2018	—	`conf`	The Belief Functions Theory for Sensors Localization in Indoor Wireless Networks. BELIEF Daniel AlShamaa, Farah Mourad-Chehade, Paul Honeine
2017	J	`jnl`	Correntropy Maximization via ADMM: Application to Robust Hyperspectral Unmixing. IEEE Trans. Geosci. Remote. Sens. Fei Zhu, Abderrahim Halimi, Paul Honeine, Badong Chen, Nanning Zheng
2017	J	`jnl`	Denoising Smooth Signals Using a Bayesian Approach: Application to Altimetry. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Abderrahim Halimi, Gerald S. Buller, Stephen McLaughlin, Paul Honeine
2017	J	`jnl`	Maximum correntropy unscented filter. Int. J. Syst. Sci. Xi Liu, Badong Chen, Bin Xu, Zongze Wu, Paul Honeine
2017	J	`jnl`	Online kernel nonnegative matrix factorization. Signal Process. Fei Zhu, Paul Honeine
2017	J	`jnl`	Une véritable approche $\ell_0$ pour l'apprentissage de dictionnaire. CoRR Yuan Liu, Stéphane Canu, Paul Honeine, Su Ruan
2016	B	`conf`	ADMM for maximum correntropy criterion. IJCNN Fei Zhu, Abderrahim Halimi, Paul Honeine, Badong Chen, Nanning Zheng
2016	J	`jnl`	Biobjective Nonnegative Matrix Factorization: Linear Versus Kernel-Based Models. IEEE Trans. Geosci. Remote. Sens. Fei Zhu, Paul Honeine
2016	J	`jnl`	Correntropy Maximization via ADMM - Application to Robust Hyperspectral Unmixing. CoRR Fei Zhu, Abderrahim Halimi, Paul Honeine, Badong Chen, Nanning Zheng
2016	J	`jnl`	Estimating the Intrinsic Dimension of Hyperspectral Images Using a Noise-Whitened Eigengap Approach. IEEE Trans. Geosci. Remote. Sens. Abderrahim Halimi, Paul Honeine, Malika Kharouf, Cédric Richard, Jean-Yves Tourneret
2016	—	`conf`	Filtering smooth altimetric signals using a Bayesian algorithm. EUSIPCO Abderrahim Halimi, Gerald S. Buller, Steve McLaughlin, Paul Honeine
2016	J	`jnl`	Hyperspectral Unmixing in Presence of Endmember Variability, Nonlinearity, or Mismodeling Effects. IEEE Trans. Image Process. Abderrahim Halimi, Paul Honeine, José M. Bioucas-Dias
2016	J	`jnl`	In-Network Principal Component Analysis with Diffusion Strategies. Int. J. Wirel. Inf. Networks Nisrine Ghadban, Paul Honeine, Farah Mourad-Chehade, Clovis Francis, Joumana Farah
2016	—	`conf`	Nonlinear hyperspectral unmixing accounting for spatial illumination variability. WHISPERS Abderrahim Halimi, Paul Honeine, José M. Bioucas-Dias, Gerald S. Buller, Steve McLaughlin
2016	—	`conf`	Robust hyperspectral unmixing accounting for residual components. SSP Abderrahim Halimi, Paul Honeine, José M. Bioucas-Dias
2016	—	`conf`	Zoning-based localization in indoor sensor networks using belief functions theory. SPAWC Daniel AlShamaa, Farah Mourad-Chehade, Paul Honeine
2015	Misc	`conf`	A new Bayesian unmixing algorithm for hyperspectral images mitigating endmember variability. ICASSP Abderrahim Halimi, Nicolas Dobigeon, Jean-Yves Tourneret, Paul Honeine
2015	J	`jnl`	Abnormal Event Detection via Multikernel Learning for Distributed Camera Networks. Int. J. Distributed Sens. Networks Tian Wang, Jie Chen, Paul Honeine, Hichem Snoussi
2015	J	`jnl`	Analyzing Sparse Dictionaries for Online Learning With Kernels. IEEE Trans. Signal Process. Paul Honeine
2015	J	`jnl`	Approximation Errors of Online Sparsification Criteria. IEEE Trans. Signal Process. Paul Honeine
2015	J	`jnl`	Bi-Objective Nonnegative Matrix Factorization: Linear Versus Kernel-Based Models. CoRR Paul Honeine, Fei Zhu
2015	J	`jnl`	Estimating the Intrinsic Dimension of Hyperspectral Images Using an Eigen-Gap Approach. CoRR Abderrahim Halimi, Paul Honeine, Malika Kharouf, Cédric Richard, Jean-Yves Tourneret
2015	—	`conf`	Gossip algorithms for principal component analysis in networks. EUSIPCO Nisrine Ghadban, Paul Honeine, Farah Mourad-Chehade, Joumana Farah, Clovis Francis
2015	—	`conf`	Hyperspectral unmixing accounting for spatial correlations and endmember variability. WHISPERS Abderrahim Halimi, Nicolas Dobigeon, Jean-Yves Tourneret, Paul Honeine
2015	J	`jnl`	Kernel-based machine learning using radio-fingerprints for localization in wsns. IEEE Trans. Aerosp. Electron. Syst. Sandy Mahfouz, Farah Mourad-Chehade, Paul Honeine, Joumana Farah, Hichem Snoussi
2015	B	`conf`	Online One-class Classification for Intrusion Detection Based on the Mahalanobis Distance. ESANN Patric Nader, Paul Honeine, Pierre Beauseroy
2015	—	`conf`	Online nonnegative matrix factorization based on kernel machines. EUSIPCO Fei Zhu, Paul Honeine
2015	B	`conf`	Pareto front of bi-objective kernel-based nonnegative matrix factorization. ESANN Fei Zhu, Paul Honeine
2015	—	`conf`	Shrinkage methods for one-class classification. EUSIPCO Patric Nader, Paul Honeine, Pierre Beauseroy
2015	—	`conf`	Unmixing multitemporal hyperspectral images accounting for endmember variability. EUSIPCO Abderrahim Halimi, Nicolas Dobigeon, Jean-Yves Tourneret, Steve McLaughlin, Paul Honeine
2014	J	`jnl`	An eigenanalysis of data centering in machine learning. CoRR Paul Honeine
2014	J	`jnl`	Analyzing sparse dictionaries for online learning with kernels. CoRR Paul Honeine
2014	J	`jnl`	Approximation errors of online sparsification criteria. CoRR Paul Honeine
2014	C	`conf`	Combining a physical model with a nonlinear fluctuation for signal propagation modeling in WSNs. AICCSA Sandy Mahfouz, Paul Honeine, Farah Mourad-Chehade, Joumana Farah, Hichem Snoussi
2014	—	`conf`	Diffusion strategies for in-network principal component analysis. MLSP Nisrine Ghadban, Paul Honeine, Farah Mourad-Chehade, Clovis Francis, Joumana Farah
2014	J	`jnl`	Entropy of Overcomplete Kernel Dictionaries. CoRR Paul Honeine
2014	J	`jnl`	Kernel nonnegative matrix factorization without the curse of the pre-image. CoRR Fei Zhu, Paul Honeine, Maya Kallas
2014	—	`conf`	Kernel nonnegative matrix factorization without the pre-image problem. MLSP Fei Zhu, Paul Honeine, Maya Kallas
2014	—	`conf`	Mahalanobis-based one-class classification. MLSP Patric Nader, Paul Honeine, Pierre Beauseroy
2014	—	`conf`	Mobility using first and second derivatives for kernel-based regression in wireless sensor networks. IWSSIP Nisrine Ghadban, Paul Honeine, Farah Mourad-Chehade, Clovis Francis, Joumana Farah
2014	J	`jnl`	Nonlinear Estimation of Material Abundances in Hyperspectral Images With ℓ IEEE Trans. Geosci. Remote. Sens. Jie Chen, Cédric Richard, Paul Honeine
2014	—	`conf`	Ridge regression and Kalman filtering for target tracking in wireless sensor networks. SAM Sandy Mahfouz, Farah Mourad-Chehade, Paul Honeine, Joumana Farah, Hichem Snoussi
2014	—	`conf`	Spectral partitioning and fusion techniques for hyperspectral data classification and unmixing. ISCCSP Rita Ammanouil, Jean Abou Melhem, Joumana Farah, Paul Honeine
2014	—	`conf`	Strategies for principal component analysis in wireless sensor networks. SAM Nisrine Ghadban, Paul Honeine, Clovis Francis, Farah Mourad-Chehade, Joumana Farah
2014	C	`conf`	The Role of One-Class Classification in Detecting Cyberattacks in Critical Infrastructures. CRITIS Patric Nader, Paul Honeine, Pierre Beauseroy
2014	J	`jnl`	Variants of Non-Negative Least-Mean-Square Algorithm and Convergence Analysis. IEEE Trans. Signal Process. Jie Chen, Cédric Richard, José Carlos M. Bermudez, Paul Honeine
2014	J	`jnl`	l IEEE Trans. Ind. Informatics Patric Nader, Paul Honeine, Pierre Beauseroy
2013	J	`jnl`	Approches géométriques pour l'estimation des fractions d'abondance en traitement de données hyperspectrales. Extensions aux modèles de mélange non linéaires. Traitement du Signal Paul Honeine, Cédric Richard, Nguyen Hoang Nguyen
2013	—	`conf`	Constrained Kaczmarz's cyclic projections for unmixing hyperspectral data. EUSIPCO Paul Honeine, Henri Lantéri, Cédric Richard
2013	—	`conf`	Constrained reflect-then-combine methods for unmixing hyperspectral data. WHISPERS Paul Honeine, Henri Lantéri
2013	—	`book`	Contributions en traitement du signal par méthodes d'apprentissage à noyaux. (Contributions to signal processing with kernel-based machine learning). Paul Honeine
2013	—	`conf`	Decentralized localization using fingerprinting and kernel methods inwireless sensor networks. EUSIPCO Sandy Mahfouz, Farah Mourad-Chehade, Paul Honeine, Joumana Farah, Hichem Snoussi
2013	—	`conf`	Estimating abundance fractions of materials in hyperspectral images by fitting a post-nonlinear mixing model. WHISPERS Jie Chen, Cédric Richard, Paul Honeine
2013	—	`conf`	Intrusion detection in scada systems using one-class classification. EUSIPCO Patric Nader, Paul Honeine, Pierre Beauseroy
2013	J	`jnl`	Kernel autoregressive models using Yule-Walker equations. Signal Process. Maya Kallas, Paul Honeine, Clovis Francis, Hassan Amoud
2013	—	`conf`	Kernel-based localization using fingerprinting in wireless sensor networks. SPAWC Sandy Mahfouz, Farah Mourad-Chehade, Paul Honeine, Hichem Snoussi, Joumana Farah
2013	J	`jnl`	Multiclass classification machines with the complexity of a single binary classifier. Signal Process. Paul Honeine, Zineb Noumir, Cédric Richard
2013	J	`jnl`	Non-negativity constraints on the pre-image for pattern recognition with kernel machines. Pattern Recognit. Maya Kallas, Paul Honeine, Cédric Richard, Clovis Francis, Hassan Amoud
2013	—	`conf`	Non-stationary analysis of the convergence of the Non-Negative Least-Mean-Square algorithm. EUSIPCO Jie Chen, Cédric Richard, José Carlos M. Bermudez, Paul Honeine
2013	J	`jnl`	Nonlinear Unmixing of Hyperspectral Data Based on a Linear-Mixture/Nonlinear-Fluctuation Model. IEEE Trans. Signal Process. Jie Chen, Cédric Richard, Paul Honeine
2013	Misc	`conf`	Nonlinear unmixing of hyperspectral data with partially linear least-squares support vector regression. ICASSP Jie Chen, Cédric Richard, André Ferrari, Paul Honeine
2013	J	`jnl`	Online Kernel Adaptive Algorithms With Dictionary Adaptation for MIMO Models. IEEE Signal Process. Lett. Chafic Saidé, Régis Lengellé, Paul Honeine, Roger Achkar
2013	J	`jnl`	Polar-Interval-Based Localization in Mobile Sensor Networks. IEEE Trans. Aerosp. Electron. Syst. Farah Mourad, Paul Honeine, Hichem Snoussi
2012	Misc	`conf`	A Gaussian process regression approach for testing Granger causality between time series data. ICASSP Pierre-Olivier Amblard, Olivier J. J. Michel, Cédric Richard, Paul Honeine
2012	—	`conf`	Dictionary adaptation for online prediction of time series data with kernels. SSP Chafic Saidé, Régis Lengellé, Paul Honeine, Cédric Richard, Roger Achkar
2012	J	`jnl`	Geometric Unmixing of Large Hyperspectral Images: A Barycentric Coordinate Approach. IEEE Trans. Geosci. Remote. Sens. Paul Honeine, Cédric Richard
2012	C	`conf`	Hyperspectral image unmixing using manifold learning methods derivations and comparative tests. IGARSS Nguyen Hoang Nguyen, Cédric Richard, Paul Honeine, Céline Theys
2012	—	`conf`	Indoor localization using polar intervals in wireless sensor networks. ICT Farah Mourad, Paul Honeine, Hichem Snoussi
2012	—	`conf`	Kernels for time series of exponential decay/growth processes. MLSP Zineb Noumir, Paul Honeine, Cédric Richard
2012	—	`conf`	Modeling electrocardiogram using Yule-Walker equations and kernel machines. ICT Maya Kallas, Clovis Francis, Paul Honeine, Hassan Amoud, Cédric Richard
2012	—	`conf`	Multi-class SVM classification combined with kernel PCA feature extraction of ECG signals. ICT Maya Kallas, Clovis Francis, Lara Kanaan, Dalia Merheb, Paul Honeine, Hassan Amoud
2012	—	`conf`	Nonlinear unmixing of hyperspectral images based on multi-kernel learning. WHISPERS Jie Chen, Cédric Richard, Paul Honeine
2012	B	`conf`	On simple one-class classification methods. ISIT Zineb Noumir, Paul Honeine, Cedue Richard
2012	—	`conf`	One-class machines based on the coherence criterion. SSP Zineb Noumir, Paul Honeine, Cédric Richard
2012	J	`jnl`	Online Kernel Principal Component Analysis: A Reduced-Order Model. IEEE Trans. Pattern Anal. Mach. Intell. Paul Honeine
2012	—	`conf`	Online one-class machines based on the coherence criterion. EUSIPCO Zineb Noumir, Paul Honeine, Cédric Richard
2012	C	`conf`	Prediction of rain attenuation series based on discretized spectral model. IGARSS Jie Chen, Cédric Richard, Paul Honeine, Jean-Yves Tourneret
2012	Misc	`conf`	Prediction of time series using Yule-Walker equations with kernels. ICASSP Maya Kallas, Paul Honeine, Cédric Richard, Clovis Francis, Hassan Amoud
2011	J	`jnl`	A Closed-form Solution for the Pre-image Problem in Kernel-based Machines. J. Signal Process. Syst. Paul Honeine, Cédric Richard
2011	—	`conf`	A comparative study of pre-image techniques: The kernel autoregressive case. SiPS Maya Kallas, Paul Honeine, Clovis Francis, Hassan Amoud
2011	—	`conf`	A modified non-negative LMS algorithm and its stochastic behavior analysis. ACSCC Jie Chen, Cédric Richard, José Carlos M. Bermudez, Paul Honeine
2011	—	`conf`	A novel kernel-based nonlinear unmixing scheme of hyperspectral images. ACSCC Jie Chen, Cédric Richard, Paul Honeine
2011	—	`conf`	Non-negative pre-image in machine learning for pattern recognition. EUSIPCO Maya Kallas, Paul Honeine, Cédric Richard, Clovis Francis, Hassan Amoud
2011	J	`jnl`	Nonnegative Least-Mean-Square Algorithm. IEEE Trans. Signal Process. Jie Chen, Cédric Richard, José Carlos M. Bermudez, Paul Honeine
2011	—	`conf`	Online system identification under non-negativity and ℓ1-norm constraints algorithm and weight behavior analysis. EUSIPCO Jie Chen, Cédric Richard, Henri Lantéri, Céline Theys, Paul Honeine
2011	—	`conf`	PCA and KPCA of ECG signals with binary SVM classification. SiPS Lara Kanaan, Dalia Merheb, Maya Kallas, Clovis Francis, Hassan Amoud, Paul Honeine
2011	J	`jnl`	Preimage Problem in Kernel-Based Machine Learning. IEEE Signal Process. Mag. Paul Honeine, Cédric Richard
2011	J	`jnl`	Stationnarité relative et approches connexes. Traitement du Signal Patrick Flandrin, Cédric Richard, Pierre-Olivier Amblard, Pierre Borgnat, Paul Honeine, Hassan Amoud, André Ferrari, Jun Xiao, Azadeh Moghtaderi, Pepa Ramírez-Cobo
2010	J	`jnl`	A Decentralized Approach for Nonlinear Prediction of Time Series Data in Sensor Networks. EURASIP J. Wirel. Commun. Netw. Paul Honeine, Cédric Richard, José Carlos M. Bermudez, Jie Chen, Hichem Snoussi
2010	C	`conf`	A simple scheme for unmixing hyperspectral data based on the geometry of the N-dimensional simplex. IGARSS Paul Honeine, Cédric Richard
2010	Misc	`conf`	Statistical hypothesis testing with time-frequency surrogates to check signal stationarity. ICASSP Cédric Richard, André Ferrari, Hassan Amoud, Paul Honeine, Patrick Flandrin, Pierre Borgnat
2010	—	`conf`	System identification under non-negativity constraints. EUSIPCO Jie Chen, Cédric Richard, Paul Honeine, Henri Lantéri, Céline Theys
2010	J	`jnl`	Testing stationarity with surrogates: a time-frequency approach. IEEE Trans. Signal Process. Pierre Borgnat, Patrick Flandrin, Paul Honeine, Cédric Richard, Jun Xiao
2010	—	`conf`	The angular kernel in machine learning for hyperspectral data classification. WHISPERS Paul Honeine, Cédric Richard
2009	Misc	`conf`	Functional estimation in Hilbert space for distributed learning in wireless sensor networks. ICASSP Paul Honeine, Cédric Richard, José Carlos M. Bermudez, Hichem Snoussi, Mehdi Essoloh, François Vincent
2009	J	`jnl`	Online Prediction of Time Series Data With Kernels. IEEE Trans. Signal Process. Cédric Richard, José Carlos M. Bermudez, Paul Honeine
2008	B	`conf`	Distributed Regression in Sensor Networks with a Reduced-Order Kernel Model. GLOBECOM Paul Honeine, Mehdi Essoloh, Cédric Richard, Hichem Snoussi
2008	—	`conf`	Distributed localization in wireless sensor networks as a pre-image problem in a Reproducing Kernel Hilbert Space. EUSIPCO Mehdi Essoloh, Cédric Richard, Hichem Snoussi, Paul Honeine
2008	—	`conf`	Distributed prediction of time series data with kernels and adaptive filtering techniques in sensor networks. ACSCC Paul Honeine, Cédric Richard, José Carlos M. Bermudez, Hichem Snoussi
2007	—	`—`	Méthodes à noyau pour l'analyse et la décision en environnement non-stationnaire. (Kernel Machines for analysis and decision-making in a non-stationary environment). Paul Honeine
2007	B	`conf`	On-line Nonlinear Sparse Approximation of Functions. ISIT Paul Honeine, Cédric Richard, José Carlos M. Bermudez
2007	J	`jnl`	Time-Frequency Learning Machines. IEEE Trans. Signal Process. Paul Honeine, Cédric Richard, Patrick Flandrin
2006	—	`conf`	Optimal Selection of Time-Frequency Representations for Signal Classification: a Kernel-Target Alignment Approach. ICASSP (3) Paul Honeine, Cédric Richard, Patrick Flandrin, Jean-Baptiste Pothin