Paul Honeine

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 63

Top Venues

CoRR

EUSIPCO

IEEE Trans. Geosci. Remote. Sens.

MLSP

Ecole doctoral SSTO - UTT, Troyes, France (PHD)

Education History

Ecole doctoral SSTO - UTT, Troyes, France

PHD

Publications

Paul Honeine
Theoretical insights on the pre-image resolution in machine learning. Pattern Recognit. 156 (2024)
Mohamad Dhaini, Maxime Berar, Paul Honeine, Antonin Van Exem
Contrastive Learning for Regression on Hyperspectral Data. CoRR (2024)
Mohamad Dhaini, Maxime Berar, Paul Honeine, Antonin Van Exem
Contrastive Learning for Regression on Hyperspectral Data. ICASSP (2024)
Rosana El Jurdi, Ahmed Rida Sekkat, Yohan Dupuis, Pascal Vasseur, Paul Honeine
Fully residual Unet-based semantic segmentation of automotive fisheye images: a comparison of rectangular and deformable convolutions. Multim. Tools Appl. 83 (13) (2024)
Clément Glédel, Benoit Gaüzère, Paul Honeine
Graph Normalizing Flows to Pre-image Free Machine Learning for Regression. GbRPR (2023)
Mohamad Dhaini, Maxime Berar, Paul Honeine, Antonin Van Exem
Unsupervised domain adaptation for regression using dictionary learning. Knowl. Based Syst. 267 (2023)
Andrea Daou, Jean-Baptiste Pothin, Paul Honeine, Abdelaziz Bensrhair
Indoor Scene Recognition Mechanism Based on Direction-Driven Convolutional Neural Networks. Sensors 23 (12) (2023)
Linlin Jia, Xiao Ning, Benoit Gaüzère, Paul Honeine, Kaspar Riesen
Bridging Distinct Spaces in Graph-Based Machine Learning. ACPR (2) (2023)
Ahmed Rida Sekkat, Yohan Dupuis, Varun Ravi Kumar, Hazem Rashed, Senthil Kumar Yogamani, Pascal Vasseur, Paul Honeine
SynWoodScape: Synthetic Surround-view Fisheye Camera Dataset for Autonomous Driving. CoRR (2022)
Mohamad Dhaini, Maxime Berar, Paul Honeine, Antonin Van Exem
End-to-End Convolutional Autoencoder for Nonlinear Hyperspectral Unmixing. Remote. Sens. 14 (14) (2022)
Ahmed Rida Sekkat, Yohan Dupuis, Varun Ravi Kumar, Hazem Rashed, Senthil Kumar Yogamani, Pascal Vasseur, Paul Honeine
SynWoodScape: Synthetic Surround-View Fisheye Camera Dataset for Autonomous Driving. IEEE Robotics Autom. Lett. 7 (3) (2022)
Rosana El Jurdi, Caroline Petitjean, Veronika Cheplygina, Paul Honeine, Fahed Abdallah
Effect of Prior-based Losses on Segmentation Performance: A Benchmark. CoRR (2022)
Linlin Jia, Benoit Gaüzère, Paul Honeine
Graph kernels based on linear patterns: Theoretical and experimental comparisons. Expert Syst. Appl. 189 (2022)
Linlin Jia, Benoit Gaüzère, Paul Honeine
graphkit-learn: A Python library for graph kernels based on linear patterns. Pattern Recognit. Lett. 143 (2021)
Muhammet Balcilar, Pierre Héroux, Benoit Gaüzère, Pascal Vasseur, Sébastien Adam, Paul Honeine
Breaking the Limits of Message Passing Graph Neural Networks. CoRR (2021)
Muhammet Balcilar, Guillaume Renton, Pierre Héroux, Benoit Gaüzère, Sébastien Adam, Paul Honeine
Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective. ICLR (2021)
Rosana El Jurdi, Caroline Petitjean, Paul Honeine, Veronika Cheplygina, Fahed Abdallah
High-level prior-based loss functions for medical image segmentation: A survey. Comput. Vis. Image Underst. 210 (2021)
Guillaume Renton, Muhammet Balcilar, Pierre Héroux, Benoit Gaüzère, Paul Honeine, Sébastien Adam
Symbols Detection and Classification using Graph Neural Networks. Pattern Recognit. Lett. 152 (2021)
Muhammet Balcilar, Pierre Héroux, Benoit Gaüzère, Pascal Vasseur, Sébastien Adam, Paul Honeine
Breaking the Limits of Message Passing Graph Neural Networks. ICML (2021)
Rosana El Jurdi, Caroline Petitjean, Paul Honeine, Veronika Cheplygina, Fahed Abdallah
A Surprisingly Effective Perimeter-based Loss for Medical Image Segmentation. MIDL (2021)
Muhammet Balcilar, Guillaume Renton, Pierre Héroux, Benoit Gaüzère, Sébastien Adam, Paul Honeine
Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks. CoRR (2020)
Rosana El Jurdi, Caroline Petitjean, Paul Honeine, Veronika Cheplygina, Fahed Abdallah
High-level Prior-based Loss Functions for Medical Image Segmentation: A Survey. CoRR (2020)
Thi Phuong Thao Tran, Ahlame Douzal Chouakria, Saeed Varasteh Yazdi, Paul Honeine, Patrick Gallinari
Interpretable time series kernel analytics by pre-image estimation. Artif. Intell. 286 (2020)
Rosana El Jurdi, Thomas Dargent, Caroline Petitjean, Paul Honeine, Fahed Abdallah
Investigating CoordConv for Fully and Weakly Supervised Medical Image Segmentation. IPTA (2020)
Daniel AlShamaa, Farah Chehade, Paul Honeine
Statistical learning for sensor localization in wireless networks. CoRR (2020)
Rosana El Jurdi, Caroline Petitjean, Paul Honeine, Fahed Abdallah
BB-UNet: U-Net With Bounding Box Prior. IEEE J. Sel. Top. Signal Process. 14 (6) (2020)
Yuan Liu, Stéphane Canu, Paul Honeine, Su Ruan
Incoherent dictionary learning via mixed-integer programming and hybrid augmented Lagrangian. Digit. Signal Process. 101 (2020)
Fei Zhu, Paul Honeine, Jie Chen
Pixel-Wise Linear/Nonlinear Nonnegative Matrix Factorization for Unmixing of Hyperspectral Data. ICASSP (2020)
Linlin Jia, Benoit Gaüzère, Paul Honeine
A Graph Pre-image Method Based on Graph Edit Distances. S+SSPR (2020)
Ahmed Rida Sekkat, Yohan Dupuis, Pascal Vasseur, Paul Honeine
The OmniScape Dataset. ICRA (2020)
Nour El Mawass, Paul Honeine, Laurent Vercouter
SimilCatch: Enhanced social spammers detection on Twitter using Markov Random Fields. Inf. Process. Manag. 57 (6) (2020)
Daniel AlShamaa, Farah Mourad-Chehade, Paul Honeine, Aly Chkeir
An Evidential Framework for Localization of Sensors in Indoor Environments. Sensors 20 (1) (2020)
Daniel AlShamaa, Farah Mourad-Chehade, Paul Honeine, Aly Chkeir
Fusion of Multiple Mobility and Observation Models for Indoor Zoning-Based Sensor Tracking. IEEE Trans. Aerosp. Electron. Syst. 56 (6) (2020)
Linlin Jia, Benoit Gaüzère, Florian Yger, Paul Honeine
A Metric Learning Approach to Graph Edit Costs for Regression. S+SSPR (2020)
Yuan Liu, Stéphane Canu, Paul Honeine, Su Ruan
Mixed Integer Programming For Sparse Coding: Application to Image Denoising. IEEE Trans. Computational Imaging 5 (3) (2019)
Daniel AlShamaa, Aly Chkeir, Farah Mourad-Chehade, Paul Honeine
A Hidden Markov Model for Indoor Trajectory Tracking of Elderly People. SAS (2019)
P. J. Sudharshan, Caroline Petitjean, Fabio A. Spanhol, Luiz Eduardo Soares de Oliveira, Laurent Heutte, Paul Honeine
Multiple instance learning for histopathological breast cancer image classification. Expert Syst. Appl. 117 (2019)
Silvère Konlambigue, Jean-Baptiste Pothin, Paul Honeine, Abdelaziz Bensrhair
Performance Evaluation of State-of-the-Art Filtering Criteria Applied to SIFT Features. ISSPIT (2019)
Daniel AlShamaa, Farah Mourad-Chehade, Paul Honeine
The Belief Functions Theory for Sensors Localization in Indoor Wireless Networks. BELIEF (2018)
Daniel AlShamaa, Farah Mourad-Chehade, Paul Honeine
Localization of Sensors in Indoor Wireless Networks: An Observation Model Using WiFi RSS. NTMS (2018)
Yuan Liu, Stéphane Canu, Paul Honeine, Su Ruan
K-SVD with a Real ℓ0 Optimization: Application to Image Denoising. MLSP (2018)
Nour El Mawass, Paul Honeine, Laurent Vercouter
Supervised Classification of Social Spammers using a Similarity-based Markov Random Field Approach. MISNC (2018)
Patric Nader, Paul Honeine, Pierre Beauseroy
One-Class Classification Framework Based on Shrinkage Methods. J. Signal Process. Syst. 90 (3) (2018)
Daniel AlShamaa, Farah Mourad-Chehade, Paul Honeine
Decentralized Sensor Localization by Decision Fusion of RSSI and Mobility in Indoor Environments. EUSIPCO (2018)
Daniel AlShamaa, Farah Mourad-Chehade, Paul Honeine
Mobility-based Tracking Using WiFi RSS in Indoor Wireless Sensor Networks. NTMS (2018)
Daniel AlShamaa, Farah Mourad-Chehade, Paul Honeine
A hierarchical classification method using belief functions. Signal Process. 148 (2018)
Silvère Konlambigue, Jean-Baptiste Pothin, Paul Honeine, Abdelaziz Bensrhair
Fast and Accurate Gaussian Pyramid Construction by Extended Box Filtering. EUSIPCO (2018)
Daniel AlShamaa, Farah Mourad-Chehade, Paul Honeine
A Weighted Kernel-Based Hierarchical Classification Method for Zoning of Sensors in Indoor Wireless Networks. SPAWC (2018)
Abderrahim Halimi, Gerald S. Buller, Stephen McLaughlin, Paul Honeine
Denoising Smooth Signals Using a Bayesian Approach: Application to Altimetry. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10 (4) (2017)
Yuan Liu, Stéphane Canu, Paul Honeine, Su Ruan
Une véritable approche $\ell_0$ pour l'apprentissage de dictionnaire. CoRR (2017)
Fei Zhu, Abderrahim Halimi, Paul Honeine, Badong Chen, Nanning Zheng
Correntropy Maximization via ADMM: Application to Robust Hyperspectral Unmixing. IEEE Trans. Geosci. Remote. Sens. 55 (9) (2017)
Fei Zhu, Paul Honeine
Online kernel nonnegative matrix factorization. Signal Process. 131 (2017)
Xi Liu, Badong Chen, Bin Xu, Zongze Wu, Paul Honeine
Maximum correntropy unscented filter. Int. J. Syst. Sci. 48 (8) (2017)
Abderrahim Halimi, Paul Honeine, José M. Bioucas-Dias
Hyperspectral Unmixing in Presence of Endmember Variability, Nonlinearity, or Mismodeling Effects. IEEE Trans. Image Process. 25 (10) (2016)
Abderrahim Halimi, Paul Honeine, Malika Kharouf, Cédric Richard, Jean-Yves Tourneret
Estimating the Intrinsic Dimension of Hyperspectral Images Using a Noise-Whitened Eigengap Approach. IEEE Trans. Geosci. Remote. Sens. 54 (7) (2016)
Abderrahim Halimi, Paul Honeine, José M. Bioucas-Dias, Gerald S. Buller, Steve McLaughlin
Nonlinear hyperspectral unmixing accounting for spatial illumination variability. WHISPERS (2016)
Fei Zhu, Abderrahim Halimi, Paul Honeine, Badong Chen, Nanning Zheng
Correntropy Maximization via ADMM - Application to Robust Hyperspectral Unmixing. CoRR (2016)
Nisrine Ghadban, Paul Honeine, Farah Mourad-Chehade, Clovis Francis, Joumana Farah
In-Network Principal Component Analysis with Diffusion Strategies. Int. J. Wirel. Inf. Networks 23 (2) (2016)
Fei Zhu, Abderrahim Halimi, Paul Honeine, Badong Chen, Nanning Zheng
ADMM for maximum correntropy criterion. IJCNN (2016)
Abderrahim Halimi, Paul Honeine, José M. Bioucas-Dias
Robust hyperspectral unmixing accounting for residual components. SSP (2016)
Abderrahim Halimi, Gerald S. Buller, Steve McLaughlin, Paul Honeine
Filtering smooth altimetric signals using a Bayesian algorithm. EUSIPCO (2016)
Fei Zhu, Paul Honeine
Biobjective Nonnegative Matrix Factorization: Linear Versus Kernel-Based Models. IEEE Trans. Geosci. Remote. Sens. 54 (7) (2016)
Daniel AlShamaa, Farah Mourad-Chehade, Paul Honeine
Zoning-based localization in indoor sensor networks using belief functions theory. SPAWC (2016)
Paul Honeine
Approximation Errors of Online Sparsification Criteria. IEEE Trans. Signal Process. 63 (17) (2015)
Fei Zhu, Paul Honeine
Online nonnegative matrix factorization based on kernel machines. EUSIPCO (2015)
Abderrahim Halimi, Nicolas Dobigeon, Jean-Yves Tourneret, Paul Honeine
Hyperspectral unmixing accounting for spatial correlations and endmember variability. WHISPERS (2015)
Abderrahim Halimi, Paul Honeine, Malika Kharouf, Cédric Richard, Jean-Yves Tourneret
Estimating the Intrinsic Dimension of Hyperspectral Images Using an Eigen-Gap Approach. CoRR (2015)
Paul Honeine, Fei Zhu
Bi-Objective Nonnegative Matrix Factorization: Linear Versus Kernel-Based Models. CoRR (2015)
Nisrine Ghadban, Paul Honeine, Farah Mourad-Chehade, Joumana Farah, Clovis Francis
Gossip algorithms for principal component analysis in networks. EUSIPCO (2015)
Paul Honeine
Analyzing Sparse Dictionaries for Online Learning With Kernels. IEEE Trans. Signal Process. 63 (23) (2015)
Sandy Mahfouz, Farah Mourad-Chehade, Paul Honeine, Joumana Farah, Hichem Snoussi
Kernel-based machine learning using radio-fingerprints for localization in wsns. IEEE Trans. Aerosp. Electron. Syst. 51 (2) (2015)
Abderrahim Halimi, Nicolas Dobigeon, Jean-Yves Tourneret, Steve McLaughlin, Paul Honeine
Unmixing multitemporal hyperspectral images accounting for endmember variability. EUSIPCO (2015)
Tian Wang, Jie Chen, Paul Honeine, Hichem Snoussi
Abnormal Event Detection via Multikernel Learning for Distributed Camera Networks. Int. J. Distributed Sens. Networks 11 (2015)
Abderrahim Halimi, Nicolas Dobigeon, Jean-Yves Tourneret, Paul Honeine
A new Bayesian unmixing algorithm for hyperspectral images mitigating endmember variability. ICASSP (2015)
Fei Zhu, Paul Honeine
Pareto front of bi-objective kernel-based nonnegative matrix factorization. ESANN (2015)
Patric Nader, Paul Honeine, Pierre Beauseroy
Shrinkage methods for one-class classification. EUSIPCO (2015)
Patric Nader, Paul Honeine, Pierre Beauseroy
Online One-class Classification for Intrusion Detection Based on the Mahalanobis Distance. ESANN (2015)
Sandy Mahfouz, Farah Mourad-Chehade, Paul Honeine, Joumana Farah, Hichem Snoussi
Ridge regression and Kalman filtering for target tracking in wireless sensor networks. SAM (2014)
Nisrine Ghadban, Paul Honeine, Farah Mourad-Chehade, Clovis Francis, Joumana Farah
Diffusion strategies for in-network principal component analysis. MLSP (2014)
Paul Honeine
Approximation errors of online sparsification criteria. CoRR (2014)
Sandy Mahfouz, Paul Honeine, Farah Mourad-Chehade, Joumana Farah, Hichem Snoussi
Combining a physical model with a nonlinear fluctuation for signal propagation modeling in WSNs. AICCSA (2014)
Patric Nader, Paul Honeine, Pierre Beauseroy
The Role of One-Class Classification in Detecting Cyberattacks in Critical Infrastructures. CRITIS (2014)
Nisrine Ghadban, Paul Honeine, Clovis Francis, Farah Mourad-Chehade, Joumana Farah
Strategies for principal component analysis in wireless sensor networks. SAM (2014)
Rita Ammanouil, Jean Abou Melhem, Joumana Farah, Paul Honeine
Spectral partitioning and fusion techniques for hyperspectral data classification and unmixing. ISCCSP (2014)
Fei Zhu, Paul Honeine, Maya Kallas
Kernel nonnegative matrix factorization without the curse of the pre-image. CoRR (2014)
Paul Honeine
An eigenanalysis of data centering in machine learning. CoRR (2014)
Patric Nader, Paul Honeine, Pierre Beauseroy
Mahalanobis-based one-class classification. MLSP (2014)
Paul Honeine
Entropy of Overcomplete Kernel Dictionaries. CoRR (2014)
Jie Chen, Cédric Richard, José Carlos M. Bermudez, Paul Honeine
Variants of Non-Negative Least-Mean-Square Algorithm and Convergence Analysis. IEEE Trans. Signal Process. 62 (15) (2014)
Paul Honeine
Analyzing sparse dictionaries for online learning with kernels. CoRR (2014)
Patric Nader, Paul Honeine, Pierre Beauseroy
-norms in One-Class Classification for Intrusion Detection in SCADA Systems. IEEE Trans. Ind. Informatics 10 (4) (2014)
Jie Chen, Cédric Richard, Paul Honeine
-Norm Spatial Regularization. IEEE Trans. Geosci. Remote. Sens. 52 (5) (2014)
Nisrine Ghadban, Paul Honeine, Farah Mourad-Chehade, Clovis Francis, Joumana Farah
Mobility using first and second derivatives for kernel-based regression in wireless sensor networks. IWSSIP (2014)
Fei Zhu, Paul Honeine, Maya Kallas
Kernel nonnegative matrix factorization without the pre-image problem. MLSP (2014)
Jie Chen, Cédric Richard, André Ferrari, Paul Honeine
Nonlinear unmixing of hyperspectral data with partially linear least-squares support vector regression. ICASSP (2013)
Sandy Mahfouz, Farah Mourad-Chehade, Paul Honeine, Joumana Farah, Hichem Snoussi
Decentralized localization using fingerprinting and kernel methods inwireless sensor networks. EUSIPCO (2013)
Paul Honeine, Henri Lantéri, Cédric Richard
Constrained Kaczmarz's cyclic projections for unmixing hyperspectral data. EUSIPCO (2013)
Paul Honeine, Cédric Richard, Nguyen Hoang Nguyen
Approches géométriques pour l'estimation des fractions d'abondance en traitement de données hyperspectrales. Extensions aux modèles de mélange non linéaires. Traitement du Signal 30 (1-2) (2013)
Chafic Saidé, Régis Lengellé, Paul Honeine, Roger Achkar
Online Kernel Adaptive Algorithms With Dictionary Adaptation for MIMO Models. IEEE Signal Process. Lett. 20 (5) (2013)
Sandy Mahfouz, Farah Mourad-Chehade, Paul Honeine, Hichem Snoussi, Joumana Farah
Kernel-based localization using fingerprinting in wireless sensor networks. SPAWC (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Paul Honeine