Optimal Selection of Time-Frequency Representations for Signal Classification: a Kernel-Target Alignment Approach. - Paul Honeine; Cédric Richard; Patrick Flandrin; Jean-Baptiste Pothin (ICASSP (3), 2006)

On-line Nonlinear Sparse Approximation of Functions. - Paul Honeine; Cédric Richard; José Carlos M. Bermudez (ISIT, 2007)

Time-Frequency Learning Machines. - Paul Honeine; Cédric Richard; Patrick Flandrin (IEEE Trans. Signal Process., 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)

Distributed prediction of time series data with kernels and adaptive filtering techniques in sensor networks. - Paul Honeine; Cédric Richard; José Carlos M. Bermudez; Hichem Snoussi (ACSCC, 2008)

Distributed localization in wireless sensor networks as a pre-image problem in a Reproducing Kernel Hilbert Space. - Mehdi Essoloh; Cédric Richard; Hichem Snoussi; Paul Honeine (EUSIPCO, 2008)

Distributed Regression in Sensor Networks with a Reduced-Order Kernel Model. - Paul Honeine; Mehdi Essoloh; Cédric Richard; Hichem Snoussi (GLOBECOM, 2008)

Functional estimation in Hilbert space for distributed learning in wireless sensor networks. - Paul Honeine; Cédric Richard; José Carlos M. Bermudez; Hichem Snoussi; Mehdi Essoloh; François Vincent (ICASSP, 2009)

Online Prediction of Time Series Data With Kernels. - Cédric Richard; José Carlos M. Bermudez; Paul Honeine (IEEE Trans. Signal Process., 2009)

System identification under non-negativity constraints. - Jie Chen 022; Cédric Richard; Paul Honeine; Henri Lantéri; Céline Theys (EUSIPCO, 2010)

Statistical hypothesis testing with time-frequency surrogates to check signal stationarity. - Cédric Richard; André Ferrari; Hassan Amoud; Paul Honeine; Patrick Flandrin; Pierre Borgnat (ICASSP, 2010)

A simple scheme for unmixing hyperspectral data based on the geometry of the N-dimensional simplex. - Paul Honeine; Cédric Richard (IGARSS, 2010)

The angular kernel in machine learning for hyperspectral data classification. - Paul Honeine; Cédric Richard (WHISPERS, 2010)

A Decentralized Approach for Nonlinear Prediction of Time Series Data in Sensor Networks. - Paul Honeine; Cédric Richard; José Carlos M. Bermudez; Jie Chen 022; Hichem Snoussi (EURASIP J. Wirel. Commun. Netw., 2010)

Testing stationarity with surrogates: a time-frequency approach. - Pierre Borgnat; Patrick Flandrin; Paul Honeine; Cédric Richard; Jun Xiao 002 (IEEE Trans. Signal Process., 2010)

A modified non-negative LMS algorithm and its stochastic behavior analysis. - Jie Chen 022; Cédric Richard; José Carlos M. Bermudez; Paul Honeine (ACSCC, 2011)

A novel kernel-based nonlinear unmixing scheme of hyperspectral images. - Jie Chen 022; Cédric Richard; Paul Honeine (ACSCC, 2011)

Online system identification under non-negativity and ℓ1-norm constraints algorithm and weight behavior analysis. - Jie Chen 022; Cédric Richard; Henri Lantéri; Céline Theys; Paul Honeine (EUSIPCO, 2011)

Non-negative pre-image in machine learning for pattern recognition. - Maya Kallas; Paul Honeine; Cédric Richard; Clovis Francis; Hassan Amoud (EUSIPCO, 2011)

A comparative study of pre-image techniques: The kernel autoregressive case. - Maya Kallas; Paul Honeine; Clovis Francis; Hassan Amoud (SiPS, 2011)

PCA and KPCA of ECG signals with binary SVM classification. - Lara Kanaan; Dalia Merheb; Maya Kallas; Clovis Francis; Hassan Amoud; Paul Honeine (SiPS, 2011)

Preimage Problem in Kernel-Based Machine Learning. - Paul Honeine; Cédric Richard (IEEE Signal Process. Mag., 2011)

Stationnarité relative et approches connexes. - Patrick Flandrin; Cédric Richard; Pierre-Olivier Amblard; Pierre Borgnat; Paul Honeine; Hassan Amoud; André Ferrari; Jun Xiao 002; Azadeh Moghtaderi; Pepa Ramírez-Cobo (Traitement du Signal, 2011)

Nonnegative Least-Mean-Square Algorithm. - Jie Chen 022; Cédric Richard; José Carlos M. Bermudez; Paul Honeine (IEEE Trans. Signal Process., 2011)

A Closed-form Solution for the Pre-image Problem in Kernel-based Machines. - Paul Honeine; Cédric Richard (J. Signal Process. Syst., 2011)

Online one-class machines based on the coherence criterion. - Zineb Noumir; Paul Honeine; Cédric Richard (EUSIPCO, 2012)

A Gaussian process regression approach for testing Granger causality between time series data. - Pierre-Olivier Amblard; Olivier J. J. Michel; Cédric Richard; Paul Honeine (ICASSP, 2012)

Prediction of time series using Yule-Walker equations with kernels. - Maya Kallas; Paul Honeine; Cédric Richard; Clovis Francis; Hassan Amoud (ICASSP, 2012)

Modeling electrocardiogram using Yule-Walker equations and kernel machines. - Maya Kallas; Clovis Francis; Paul Honeine; Hassan Amoud; Cédric Richard (ICT, 2012)

Multi-class SVM classification combined with kernel PCA feature extraction of ECG signals. - Maya Kallas; Clovis Francis; Lara Kanaan; Dalia Merheb; Paul Honeine; Hassan Amoud (ICT, 2012)

Indoor localization using polar intervals in wireless sensor networks. - Farah Mourad; Paul Honeine; Hichem Snoussi (ICT, 2012)

Prediction of rain attenuation series based on discretized spectral model. - Jie Chen 022; Cédric Richard; Paul Honeine; Jean-Yves Tourneret (IGARSS, 2012)

Hyperspectral image unmixing using manifold learning methods derivations and comparative tests. - Nguyen Hoang Nguyen; Cédric Richard; Paul Honeine; Céline Theys (IGARSS, 2012)

On simple one-class classification methods. - Zineb Noumir; Paul Honeine; Cedue Richard (ISIT, 2012)

Kernels for time series of exponential decay/growth processes. - Zineb Noumir; Paul Honeine; Cédric Richard (MLSP, 2012)

One-class machines based on the coherence criterion. - Zineb Noumir; Paul Honeine; Cédric Richard (SSP, 2012)

Dictionary adaptation for online prediction of time series data with kernels. - Chafic Saidé; Régis Lengellé; Paul Honeine; Cédric Richard; Roger Achkar (SSP, 2012)

Nonlinear unmixing of hyperspectral images based on multi-kernel learning. - Jie Chen 022; Cédric Richard; Paul Honeine (WHISPERS, 2012)

Online Kernel Principal Component Analysis: A Reduced-Order Model. - Paul Honeine (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

Geometric Unmixing of Large Hyperspectral Images: A Barycentric Coordinate Approach. - Paul Honeine; Cédric Richard (IEEE Trans. Geosci. Remote. Sens., 2012)

Contributions en traitement du signal par méthodes d'apprentissage à noyaux. (Contributions to signal processing with kernel-based machine learning). - Paul Honeine (2013)

Non-stationary analysis of the convergence of the Non-Negative Least-Mean-Square algorithm. - Jie Chen 022; Cédric Richard; José Carlos M. Bermudez; Paul Honeine (EUSIPCO, 2013)

Constrained Kaczmarz's cyclic projections for unmixing hyperspectral data. - Paul Honeine; Henri Lantéri; Cédric Richard (EUSIPCO, 2013)

Decentralized localization using fingerprinting and kernel methods inwireless sensor networks. - Sandy Mahfouz; Farah Mourad-Chehade; Paul Honeine; Joumana Farah; Hichem Snoussi (EUSIPCO, 2013)

Intrusion detection in scada systems using one-class classification. - Patric Nader; Paul Honeine; Pierre Beauseroy (EUSIPCO, 2013)

Nonlinear unmixing of hyperspectral data with partially linear least-squares support vector regression. - Jie Chen 022; Cédric Richard; André Ferrari; Paul Honeine (ICASSP, 2013)

Kernel-based localization using fingerprinting in wireless sensor networks. - Sandy Mahfouz; Farah Mourad-Chehade; Paul Honeine; Hichem Snoussi; Joumana Farah (SPAWC, 2013)

Estimating abundance fractions of materials in hyperspectral images by fitting a post-nonlinear mixing model. - Jie Chen 022; Cédric Richard; Paul Honeine (WHISPERS, 2013)

Constrained reflect-then-combine methods for unmixing hyperspectral data. - Paul Honeine; Henri Lantéri (WHISPERS, 2013)

Non-negativity constraints on the pre-image for pattern recognition with kernel machines. - Maya Kallas; Paul Honeine; Cédric Richard; Clovis Francis; Hassan Amoud (Pattern Recognit., 2013)

Multiclass classification machines with the complexity of a single binary classifier. - Paul Honeine; Zineb Noumir; Cédric Richard (Signal Process., 2013)

Kernel autoregressive models using Yule-Walker equations. - Maya Kallas; Paul Honeine; Clovis Francis; Hassan Amoud (Signal Process., 2013)

Online Kernel Adaptive Algorithms With Dictionary Adaptation for MIMO Models. - Chafic Saidé; Régis Lengellé; Paul Honeine; Roger Achkar (IEEE Signal Process. Lett., 2013)

Polar-Interval-Based Localization in Mobile Sensor Networks. - Farah Mourad; Paul Honeine; Hichem Snoussi (IEEE Trans. Aerosp. Electron. Syst., 2013)

Approches géométriques pour l'estimation des fractions d'abondance en traitement de données hyperspectrales. Extensions aux modèles de mélange non linéaires. - Paul Honeine; Cédric Richard; Nguyen Hoang Nguyen (Traitement du Signal, 2013)

Nonlinear Unmixing of Hyperspectral Data Based on a Linear-Mixture/Nonlinear-Fluctuation Model. - Jie Chen 022; Cédric Richard; Paul Honeine (IEEE Trans. Signal Process., 2013)

Combining a physical model with a nonlinear fluctuation for signal propagation modeling in WSNs. - Sandy Mahfouz; Paul Honeine; Farah Mourad-Chehade; Joumana Farah; Hichem Snoussi (AICCSA, 2014)

The Role of One-Class Classification in Detecting Cyberattacks in Critical Infrastructures. - Patric Nader; Paul Honeine; Pierre Beauseroy (CRITIS, 2014)

Strategies for principal component analysis in wireless sensor networks. - Nisrine Ghadban; Paul Honeine; Clovis Francis; Farah Mourad-Chehade; Joumana Farah (SAM, 2014)

Ridge regression and Kalman filtering for target tracking in wireless sensor networks. - Sandy Mahfouz; Farah Mourad-Chehade; Paul Honeine; Joumana Farah; Hichem Snoussi (SAM, 2014)

Spectral partitioning and fusion techniques for hyperspectral data classification and unmixing. - Rita Ammanouil; Jean Abou Melhem; Joumana Farah; Paul Honeine (ISCCSP, 2014)

Mobility using first and second derivatives for kernel-based regression in wireless sensor networks. - Nisrine Ghadban; Paul Honeine; Farah Mourad-Chehade; Clovis Francis; Joumana Farah (IWSSIP, 2014)

Diffusion strategies for in-network principal component analysis. - Nisrine Ghadban; Paul Honeine; Farah Mourad-Chehade; Clovis Francis; Joumana Farah (MLSP, 2014)

Mahalanobis-based one-class classification. - Patric Nader; Paul Honeine; Pierre Beauseroy (MLSP, 2014)

Kernel nonnegative matrix factorization without the pre-image problem. - Fei Zhu 001; Paul Honeine; Maya Kallas (MLSP, 2014)

An eigenanalysis of data centering in machine learning. - Paul Honeine (CoRR, 2014)

Entropy of Overcomplete Kernel Dictionaries. - Paul Honeine (CoRR, 2014)

Kernel nonnegative matrix factorization without the curse of the pre-image. - Fei Zhu 001; Paul Honeine; Maya Kallas (CoRR, 2014)

Nonlinear Estimation of Material Abundances in Hyperspectral Images With ℓ1-Norm Spatial Regularization. - Jie Chen 022; Cédric Richard; Paul Honeine (IEEE Trans. Geosci. Remote. Sens., 2014)

lp-norms in One-Class Classification for Intrusion Detection in SCADA Systems. - Patric Nader; Paul Honeine; Pierre Beauseroy (IEEE Trans. Ind. Informatics, 2014)

Variants of Non-Negative Least-Mean-Square Algorithm and Convergence Analysis. - Jie Chen 022; Cédric Richard; José Carlos M. Bermudez; Paul Honeine (IEEE Trans. Signal Process., 2014)

Online One-class Classification for Intrusion Detection Based on the Mahalanobis Distance. - Patric Nader; Paul Honeine; Pierre Beauseroy (ESANN, 2015)

Pareto front of bi-objective kernel-based nonnegative matrix factorization. - Fei Zhu 001; Paul Honeine (ESANN, 2015)

Gossip algorithms for principal component analysis in networks. - Nisrine Ghadban; Paul Honeine; Farah Mourad-Chehade; Joumana Farah; Clovis Francis (EUSIPCO, 2015)

Unmixing multitemporal hyperspectral images accounting for endmember variability. - Abderrahim Halimi; Nicolas Dobigeon; Jean-Yves Tourneret; Steve McLaughlin 001; Paul Honeine (EUSIPCO, 2015)

Shrinkage methods for one-class classification. - Patric Nader; Paul Honeine; Pierre Beauseroy (EUSIPCO, 2015)

Online nonnegative matrix factorization based on kernel machines. - Fei Zhu 001; Paul Honeine (EUSIPCO, 2015)

A new Bayesian unmixing algorithm for hyperspectral images mitigating endmember variability. - Abderrahim Halimi; Nicolas Dobigeon; Jean-Yves Tourneret; Paul Honeine (ICASSP, 2015)

Hyperspectral unmixing accounting for spatial correlations and endmember variability. - Abderrahim Halimi; Nicolas Dobigeon; Jean-Yves Tourneret; Paul Honeine (WHISPERS, 2015)

Estimating the Intrinsic Dimension of Hyperspectral Images Using an Eigen-Gap Approach. - Abderrahim Halimi; Paul Honeine; Malika Kharouf; Cédric Richard; Jean-Yves Tourneret (CoRR, 2015)

Bi-Objective Nonnegative Matrix Factorization: Linear Versus Kernel-Based Models. - Paul Honeine; Fei Zhu 001 (CoRR, 2015)

Abnormal Event Detection via Multikernel Learning for Distributed Camera Networks. - Tian Wang 002; Jie Chen 022; Paul Honeine; Hichem Snoussi (Int. J. Distributed Sens. Networks, 2015)

Kernel-based machine learning using radio-fingerprints for localization in wsns. - Sandy Mahfouz; Farah Mourad-Chehade; Paul Honeine; Joumana Farah; Hichem Snoussi (IEEE Trans. Aerosp. Electron. Syst., 2015)

Approximation Errors of Online Sparsification Criteria. - Paul Honeine (IEEE Trans. Signal Process., 2015)

Analyzing Sparse Dictionaries for Online Learning With Kernels. - Paul Honeine (IEEE Trans. Signal Process., 2015)

Filtering smooth altimetric signals using a Bayesian algorithm. - Abderrahim Halimi; Gerald S. Buller; Steve McLaughlin 001; Paul Honeine (EUSIPCO, 2016)

ADMM for maximum correntropy criterion. - Fei Zhu 001; Abderrahim Halimi; Paul Honeine; Badong Chen; Nanning Zheng 001 (IJCNN, 2016)

Zoning-based localization in indoor sensor networks using belief functions theory. - Daniel AlShamaa; Farah Mourad-Chehade; Paul Honeine (SPAWC, 2016)

Robust hyperspectral unmixing accounting for residual components. - Abderrahim Halimi; Paul Honeine; José M. Bioucas-Dias (SSP, 2016)

Nonlinear hyperspectral unmixing accounting for spatial illumination variability. - Abderrahim Halimi; Paul Honeine; José M. Bioucas-Dias; Gerald S. Buller; Steve McLaughlin 001 (WHISPERS, 2016)

In-Network Principal Component Analysis with Diffusion Strategies. - Nisrine Ghadban; Paul Honeine; Farah Mourad-Chehade; Clovis Francis; Joumana Farah (Int. J. Wirel. Inf. Networks, 2016)

Estimating the Intrinsic Dimension of Hyperspectral Images Using a Noise-Whitened Eigengap Approach. - Abderrahim Halimi; Paul Honeine; Malika Kharouf; Cédric Richard; Jean-Yves Tourneret (IEEE Trans. Geosci. Remote. Sens., 2016)

Biobjective Nonnegative Matrix Factorization: Linear Versus Kernel-Based Models. - Fei Zhu 001; Paul Honeine (IEEE Trans. Geosci. Remote. Sens., 2016)

Hyperspectral Unmixing in Presence of Endmember Variability, Nonlinearity, or Mismodeling Effects. - Abderrahim Halimi; Paul Honeine; José M. Bioucas-Dias (IEEE Trans. Image Process., 2016)

Une véritable approche $ ell_0$ pour l'apprentissage de dictionnaire. - Yuan Liu 024; Stéphane Canu; Paul Honeine; Su Ruan (CoRR, 2017)

Maximum correntropy unscented filter. - Xi Liu 006; Badong Chen; Bin Xu 003; Zongze Wu 001; Paul Honeine (Int. J. Syst. Sci., 2017)

Online kernel nonnegative matrix factorization. - Fei Zhu 001; Paul Honeine (Signal Process., 2017)

Denoising Smooth Signals Using a Bayesian Approach: Application to Altimetry. - Abderrahim Halimi; Gerald S. Buller; Stephen McLaughlin 001; Paul Honeine (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017)

Correntropy Maximization via ADMM: Application to Robust Hyperspectral Unmixing. - Fei Zhu 001; Abderrahim Halimi; Paul Honeine; Badong Chen; Nanning Zheng 001 (IEEE Trans. Geosci. Remote. Sens., 2017)

The Belief Functions Theory for Sensors Localization in Indoor Wireless Networks. - Daniel AlShamaa; Farah Mourad-Chehade; Paul Honeine (BELIEF, 2018)

Decentralized Sensor Localization by Decision Fusion of RSSI and Mobility in Indoor Environments. - Daniel AlShamaa; Farah Mourad-Chehade; Paul Honeine (EUSIPCO, 2018)

Fast and Accurate Gaussian Pyramid Construction by Extended Box Filtering. - Silvère Konlambigue; Jean-Baptiste Pothin; Paul Honeine; Abdelaziz Bensrhair (EUSIPCO, 2018)

Supervised Classification of Social Spammers using a Similarity-based Markov Random Field Approach. - Nour El Mawass; Paul Honeine; Laurent Vercouter (MISNC, 2018)

K-SVD with a Real ℓ0 Optimization: Application to Image Denoising. - Yuan Liu 024; Stéphane Canu; Paul Honeine; Su Ruan (MLSP, 2018)

Localization of Sensors in Indoor Wireless Networks: An Observation Model Using WiFi RSS. - Daniel AlShamaa; Farah Mourad-Chehade; Paul Honeine (NTMS, 2018)

Mobility-based Tracking Using WiFi RSS in Indoor Wireless Sensor Networks. - Daniel AlShamaa; Farah Mourad-Chehade; Paul Honeine (NTMS, 2018)

A Weighted Kernel-Based Hierarchical Classification Method for Zoning of Sensors in Indoor Wireless Networks. - Daniel AlShamaa; Farah Mourad-Chehade; Paul Honeine (SPAWC, 2018)

A hierarchical classification method using belief functions. - Daniel AlShamaa; Farah Mourad-Chehade; Paul Honeine (Signal Process., 2018)

One-Class Classification Framework Based on Shrinkage Methods. - Patric Nader; Paul Honeine; Pierre Beauseroy (J. Signal Process. Syst., 2018)

Performance Evaluation of State-of-the-Art Filtering Criteria Applied to SIFT Features. - Silvère Konlambigue; Jean-Baptiste Pothin; Paul Honeine; Abdelaziz Bensrhair (ISSPIT, 2019)

A Hidden Markov Model for Indoor Trajectory Tracking of Elderly People. - Daniel AlShamaa; Aly Chkeir; Farah Mourad-Chehade; Paul Honeine (SAS, 2019)

Multiple instance learning for histopathological breast cancer image classification. - P. J. Sudharshan; Caroline Petitjean; Fabio A. Spanhol; Luiz Eduardo Soares de Oliveira; Laurent Heutte; Paul Honeine (Expert Syst. Appl., 2019)

Mixed Integer Programming For Sparse Coding: Application to Image Denoising. - Yuan Liu 024; Stéphane Canu; Paul Honeine; Su Ruan (IEEE Trans. Computational Imaging, 2019)

Pixel-Wise Linear/Nonlinear Nonnegative Matrix Factorization for Unmixing of Hyperspectral Data. - Fei Zhu 001; Paul Honeine; Jie Chen 022 (ICASSP, 2020)

The OmniScape Dataset. - Ahmed Rida Sekkat; Yohan Dupuis; Pascal Vasseur; Paul Honeine (ICRA, 2020)

Investigating CoordConv for Fully and Weakly Supervised Medical Image Segmentation. - Rosana El Jurdi; Thomas Dargent; Caroline Petitjean; Paul Honeine; Fahed Abdallah (IPTA, 2020)

A Graph Pre-image Method Based on Graph Edit Distances. - Linlin Jia; Benoit Gaüzère; Paul Honeine (S+SSPR, 2020)

A Metric Learning Approach to Graph Edit Costs for Regression. - Linlin Jia; Benoit Gaüzère; Florian Yger; Paul Honeine (S+SSPR, 2020)

Interpretable time series kernel analytics by pre-image estimation. - Thi Phuong Thao Tran; Ahlame Douzal Chouakria; Saeed Varasteh Yazdi; Paul Honeine; Patrick Gallinari (Artif. Intell., 2020)

Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks. - Muhammet Balcilar; Guillaume Renton; Pierre Héroux; Benoit Gaüzère; Sébastien Adam; Paul Honeine (CoRR, 2020)

Statistical learning for sensor localization in wireless networks. - Daniel AlShamaa; Farah Chehade; Paul Honeine (CoRR, 2020)

Incoherent dictionary learning via mixed-integer programming and hybrid augmented Lagrangian. - Yuan Liu 024; Stéphane Canu; Paul Honeine; Su Ruan (Digit. Signal Process., 2020)

SimilCatch: Enhanced social spammers detection on Twitter using Markov Random Fields. - Nour El Mawass; Paul Honeine; Laurent Vercouter (Inf. Process. Manag., 2020)

BB-UNet: U-Net With Bounding Box Prior. - Rosana El Jurdi; Caroline Petitjean; Paul Honeine; Fahed Abdallah (IEEE J. Sel. Top. Signal Process., 2020)

An Evidential Framework for Localization of Sensors in Indoor Environments. - Daniel AlShamaa; Farah Mourad-Chehade; Paul Honeine; Aly Chkeir (Sensors, 2020)

Fusion of Multiple Mobility and Observation Models for Indoor Zoning-Based Sensor Tracking. - Daniel AlShamaa; Farah Mourad-Chehade; Paul Honeine; Aly Chkeir (IEEE Trans. Aerosp. Electron. Syst., 2020)

Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective. - Muhammet Balcilar; Guillaume Renton; Pierre Héroux; Benoit Gaüzère; Sébastien Adam; Paul Honeine (ICLR, 2021)

Breaking the Limits of Message Passing Graph Neural Networks. - Muhammet Balcilar; Pierre Héroux; Benoit Gaüzère; Pascal Vasseur; Sébastien Adam; Paul Honeine (ICML, 2021)

A Surprisingly Effective Perimeter-based Loss for Medical Image Segmentation. - Rosana El Jurdi; Caroline Petitjean; Paul Honeine; Veronika Cheplygina; Fahed Abdallah (MIDL, 2021)

High-level prior-based loss functions for medical image segmentation: A survey. - Rosana El Jurdi; Caroline Petitjean; Paul Honeine; Veronika Cheplygina; Fahed Abdallah (Comput. Vis. Image Underst., 2021)

graphkit-learn: A Python library for graph kernels based on linear patterns. - Linlin Jia; Benoit Gaüzère; Paul Honeine (Pattern Recognit. Lett., 2021)

Symbols Detection and Classification using Graph Neural Networks. - Guillaume Renton; Muhammet Balcilar; Pierre Héroux; Benoit Gaüzère; Paul Honeine; Sébastien Adam (Pattern Recognit. Lett., 2021)

Effect of Prior-based Losses on Segmentation Performance: A Benchmark. - Rosana El Jurdi; Caroline Petitjean; Veronika Cheplygina; Paul Honeine; Fahed Abdallah (CoRR, 2022)

Graph kernels based on linear patterns: Theoretical and experimental comparisons. - Linlin Jia; Benoit Gaüzère; Paul Honeine (Expert Syst. Appl., 2022)

SynWoodScape: Synthetic Surround-View Fisheye Camera Dataset for Autonomous Driving. - Ahmed Rida Sekkat; Yohan Dupuis; Varun Ravi Kumar; Hazem Rashed; Senthil Kumar Yogamani; Pascal Vasseur; Paul Honeine (IEEE Robotics Autom. Lett., 2022)

End-to-End Convolutional Autoencoder for Nonlinear Hyperspectral Unmixing. - Mohamad Dhaini; Maxime Berar; Paul Honeine; Antonin Van Exem (Remote. Sens., 2022)

Bridging Distinct Spaces in Graph-Based Machine Learning. - Linlin Jia; Xiao Ning; Benoit Gaüzère; Paul Honeine; Kaspar Riesen (ACPR (2), 2023)

Graph Normalizing Flows to Pre-image Free Machine Learning for Regression. - Clément Glédel; Benoit Gaüzère; Paul Honeine (GbRPR, 2023)

Unsupervised domain adaptation for regression using dictionary learning. - Mohamad Dhaini; Maxime Berar; Paul Honeine; Antonin Van Exem (Knowl. Based Syst., 2023)

Indoor Scene Recognition Mechanism Based on Direction-Driven Convolutional Neural Networks. - Andrea Daou; Jean-Baptiste Pothin; Paul Honeine; Abdelaziz Bensrhair (Sensors, 2023)

Contrastive Learning for Regression on Hyperspectral Data. - Mohamad Dhaini; Maxime Berar; Paul Honeine; Antonin Van Exem (ICASSP, 2024)

Theoretical insights on the pre-image resolution in machine learning. - Paul Honeine (Pattern Recognit., 2024)

Fully residual Unet-based semantic segmentation of automotive fisheye images: a comparison of rectangular and deformable convolutions. - Rosana El Jurdi; Ahmed Rida Sekkat; Yohan Dupuis; Pascal Vasseur; Paul Honeine (Multim. Tools Appl., 2024)

Insights on Using Graph Neural Networks for Sulcal Graphs Predictive Models. - Alexis Imbert; Benoit Gaüzère; Sylvain Takerkart; Guillaume Auzias; Paul Honeine (GbRPR, 2025)

Mamba-PKD: A Framework for Efficient and Scalable Model Compression in Image Classification. - José Medina; Amnir Hadachi; Paul Honeine; Abdelaziz Bensrhair (SAC, 2025)

Pre-image free graph machine learning with Normalizing Flows. - Clément Glédel; Benoit Gaüzère; Paul Honeine (Pattern Recognit. Lett., 2025)

Support Vector Machines With Uncertainty Option and Incremental Sampling for Kriging. - Chen Xiong; Paul Honeine; Maxime Berar; Antonin Van Exem (Expert Syst. J. Knowl. Eng., 2025)

Mamba base PKD for efficient knowledge compression. - José Medina; Amnir Hadachi; Paul Honeine; Abdelaziz Bensrhair (CoRR, 2025)

Optimal Transport and Adaptive Thresholding for Universal Domain Adaptation on Time Series. - Romain Mussard; Fannia Pacheco; Maxime Berar; Gilles Gasso; Paul Honeine (CoRR, 2025)

Universal Domain Adaptation Benchmark for Time Series Data Representation. - Romain Mussard; Fannia Pacheco; Maxime Berar; Gilles Gasso; Paul Honeine (CoRR, 2025)