Peer-reviewed journal articles indexed in international databases

  1. Daniel ALSHAMAA, Farah MOURAD-CHEHADE, Paul HONEINE,
    Tracking of mobile sensors using belief functions in indoor wireles networks.
    IEEE Sensors Journal.
    IEEE, 2017.
  2. Fei Zhu, Paul Honeine,
    Online kernel nonnegative matrix factorization.
    Signal Processing 131, 143–153.
    Elsevier, 2017.
  3. Sandy Mahfouz, Farah Mourad-Chehade, Paul Honeine, Joumana Farah, Hichem Snoussi,
    Non-parametric and semi-parametric RSSI/distance modeling for target tracking in wireless sensor networks.
    IEEE Sensors Journal 16(7), 2115–2126.
    IEEE, 2016.
  4. Nisrine Ghadban, Paul Honeine, Farah Mourad-Chehade, Clovis Francis, Joumana Farah,
    In-network Principal Component Analysis and Diffusion Strategies.
    International Journal of Wireless Information Networks 23(2), 97–111.
    Springer, 2016.
  5. Sandy Mahfouz, Farah Mourad-Chehade, Paul Honeine, Joumana Farah, Hichem Snoussi,
    Gas Source Parameter Estimation Using Machine Learning in WSNs.
    IEEE Sensors Journal 16(14), 5795–5804.
    IEEE, 2016.
  6. 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 Transactions on Geoscience and Remote Sensing 54(7), 3811–3821.
    IEEE, 2016.
  7. Fei Zhu, Paul Honeine,
    Bi-objective Nonnegative Matrix Factorization: Linear Versus Kernel-based Models.
    IEEE Transactions on Geoscience and Remote Sensing 54(7), 4012–4022.
    IEEE, 2016.
  8. Chafic Saidé, Regis Lengellé, Paul Honeine, Cédric Richard, Roger Achkar,
    Nonlinear Adaptive Filtering using Kernel -based Algorithms with Dictionary Adaptation.
    International Journal of Adaptive Control and Signal Processing 29(11), 1391–1410.
    Wiley, 2015.
  9. Sandy Mahfouz, Farah Mourad-Chehade, Paul Honeine, Joumana Farah, Hichem Snoussi,
    Kernel-based machine learning using radio-fingerprints for localization in WSNs.
    IEEE Transactions on Aerospace and Electronic Systems 51(2), 1324–1336.
    IEEE, 2015.
  10. Paul Honeine,
    Approximation errors of online sparsification criteria.
    IEEE Transactions on Signal Processing 63(17), 4700 – 4709.
    IEEE, 2015.
  11. Paul Honeine,
    Analyzing sparse dictionaries for online learning with kernels.
    IEEE Transactions on Signal Processing 63(23), 6343–6353.
    IEEE, 2015.
  12. Tian Wang, Jie Chen, Paul Honeine, Hichem Snoussi,
    Abnormal event detection via multi-kernel learning for distributed camera networks.
    International Journal of Distributed Sensor Networks 2015(Article ID 989450), 1–9.
    Hindawi, 2015.
  13. Jie Chen, Cédric Richard, José Bermudez, Paul Honeine,
    Variants of non-negative least-mean-square algorithm and convergence analysis.
    IEEE Transactions on Signal Processing 62(15), 3990–4005.
    IEEE, 2014.
  14. Sandy Mahfouz, Farah Mourad-Chehade, Paul Honeine, Joumana Farah, Hichem Snoussi,
    Target tracking using machine learning and Kalman filter in wireless sensor networks.
    IEEE Sensors Journal 14(10), 3715–3725.
    IEEE, 2014.
  15. Jie Chen, Cédric Richard, Paul Honeine,
    Nonlinear estimation of material abundances of hyperspectral images with $ell_1$-norm spatial regularization.
    IEEE Transactions on Geoscience and Remote Sensing 52(5), 2654–2665.
    IEEE, 2014.
  16. Patric Nader, Paul Honeine, Pierre Beauseroy,
    l_p-norms in One-Class Classification for Intrusion Detection in SCADA Systems.
    IEEE Transactions on Industrial Informatics 10(4), 2308–2317.
    IEEE, 2014.
  17. Farah Mourad, Paul Honeine, Hichem Snoussi,
    Polar interval-based localization in mobile sensor networks.
    IEEE Transactions on Aerospace and Electronic Systems 49(4), 2310–2322.
    IEEE, 2013.
  18. Chafic Saidé, Régis Lengellé, Paul Honeine, Roger Achkar,
    Online kernel adaptive algorithms with dictionary adaptation for MIMO models.
    IEEE Signal Processing Letters 20(5), 535–538.
    IEEE, 2013.
  19. Jie Chen, Cédric Richard, Paul Honeine,
    Nonlinear unmixing of hyperspectral data based on a linear-mixture/nonlinear-fluctuation model.
    IEEE Transactions on Signal Processing 61(2), 480–492.
    IEEE, 2013.
  20. Maya Kallas, Paul Honeine, Cédric Richard, Clovis Francis, Hassan Amoud,
    Non-negativity constraints on the pre-image for pattern recognition with kernel machines.
    Pattern Recognition 46(11), 3066–3080.
    Elsevier, 2013.
  21. Paul Honeine, Zineb Noumir, Cédric Richard,
    Multiclass classification machines with the complexity of a single binary classifier.
    Signal Processing 93(5), 1013–1026.
    Elsevier, 2013.
  22. Maya Kallas, Paul Honeine, Clovis Francis, Hassan Amoud,
    Kernel autoregressive models using Yule-Walker equations.
    Signal Processing 93(11), 3053–3061.
    Elsevier, 2013.
  23. Paul Honeine,
    Online kernel principal component analysis: a reduced-order model.
    IEEE Transactions on Pattern Analysis and Machine Intelligence 34(9), 1814–1826.
    IEEE, 2012.
  24. Paul Honeine, Cédric Richard,
    Geometric unmixing of large hyperspectral images: a barycentric coordinate approach.
    IEEE Transactions on Geoscience and Remote Sensing 50(6), 2185–2195.
    IEEE, 2012.
  25. Paul Honeine, Cédric Richard,
    Preimage problem in kernel-based machine learning.
    IEEE Signal Processing Magazine 28(2), 77–88.
    IEEE, 2011.
  26. Jie Chen, Cédric Richard, José C. M. Bermudez, Paul Honeine,
    Non-negative least-mean-square algorithm.
    IEEE Transactions on Signal Processing 59(11), 5225–5235.
    IEEE, 2011.
  27. Paul Honeine, Cédric Richard,
    A closed-form solution for the pre-image problem in kernel-based machines.
    Journal of Signal Processing Systems 65(3), 289–299.
    Springer, 2011.
  28. Pierre Borgnat, Patrick Flandrin, Paul Honeine, Cédric Richard, Jun Xiao,
    Testing Stationarity with Surrogates: A Time-Frequency Approach.
    IEEE Transactions on Signal Processing 58(7), 3459–3470.
    IEEE, 2010.
  29. Paul Honeine, Cédric Richard, Hichem Snoussi, José C. M. Bermudez, Jie Chen,
    A decentralized approach for non-linear prediction of time series data in sensor networks.
    Journal on Wireless Communications and Networking Special issue on theoretical and algorithmic foundations of wireless ad hoc and sensor networks, 12:1–12:12.
    EURASIP, 2010.
  30. Cédric Richard, José C. M. Bermudez, Paul Honeine,
    Online prediction of time series data with kernels.
    IEEE Transactions on Signal Processing 57(3), 1058–1067.
    IEEE, 2009.
  31. Paul Honeine, Cédric Richard, Patrick Flandrin,
    Time-Frequency Learning Machines.
    IEEE Transactions on Signal Processing 55(7), 3930–3936.
    IEEE, 2007.

Unindexed peer-reviewed journal articles

  1. Paul Honeine, Cédric Richard, Nguyen Hoang Nguyen,
    Approches géométriques pour l'estimation des fractions d'abondance en traitement de données hyperspectales. Extensions aux modèles de mélange non-linéaires.
    Traitement du signal 30(1-2), 61–86.
    Lavoisier, 2013.
  2. Patrick Flandrin, Cédric Richard, Pierre-Olivier Amblard, Pierre Borgnat, Paul Honeine, Hassan Amoud, André Ferrari, Jun Xiao, Azadeh Moghtaderi, Pepa Ramirez-Cobo,
    Stationnarité relative et approches connexes.
    Traitement du signal 28(6), 691–716.
    Lavoisier, 2011.
  3. Paul Honeine, Cédric Richard,
    Distribution temps-fréquence à paramétrisation radialement Gaussienne optimisée pour la classification.
    Traitement du signal 2008.
    Lavoisier, 2008.

Patents

  1. Hichem Snoussi, Cédric Richard, Paul Honeine,
    System and method for locating a target using a transceiver array (fr: Système et procédé de localisation de cible par un réseau d'émetteurs/récepteurs).
    2010.

Invited conference talks

  1. Jie Chen, Nicolas Dobigeon, Abderrahim Halimi, Paul Honeine, Cédric Richard, Jean-Yves Tourneret,
    Démélange non-linéaire d'images hyperspectrales : mythe ou réalité ?.
    3-ème colloque scientifique de la SFPT-GH, Porquerolles, France, 15--16 mai, 2014.
    2014.
  2. Paul Honeine,
    Problème de pré-image en apprentissage et reconnaissance des formes. Applications en traitement du signal et des images.
    Journée apprentissage et reconnaissance des formes en signal et images, journées thématiques au GdR ISIS.
    2011.
  3. Patrick Flandrin, Pierre Borgnat, Azadeh Moghtaderi, Cédric Richard, Paul Honeine, Hassan Amoud, Pierre-Olivier Amblard, Pepa Ramirez-Cobo,
    StaRAC : Stationnarité Relative et Approches Connexes.
    Grand Colloque STIC 2010.
    2010.
  4. Paul Honeine, Cédric Richard,
    Sur l'usage de critères de représentation parcimonieuse pour la RdF par méthodes à noyau.
    Journée représentations parcimonieuses, journées thématiques au GdR ISIS.
    2008.
  5. Cédric Richard, Paul Honeine, Hichem Snoussi, Mehdi Essoloh, José C. M. Bermudez,
    Distributed learning in wireless sensor networks.
    5th Workshop on Sensor Networks (CNRS RECAP Sensor and Self-Organized Networks).
    2008.
  6. Cédric Richard, Paul Honeine,
    Filtrage adaptatif non linéaire par méthode à noyau.
    Journée signal, reconnaissance des formes et machines à noyaux, journées thématiques au GdR ISIS.
    2007.

Proceedings articles indexed in international databases

  1. Daniel Alshamaa, Farah Mourad-Chehade, Paul Honeine,
    Zoning-based localization in indoor sensor networks using belief functions theory.
    Proceedings of the 17th IEEE International workshop on Signal Processing Advances in Wireless Communications.
    IEEE, 2016.
  2. Patric Nader, Paul Honeine, Pierre Beauseroy,
    Detection of cyberattacks in a water distribution system using machine learning techniques.
    Proc. sixth International Conference on Digital Information Processing and Communications.
    2016.
  3. Fei Zhu, Abderrahim Halimi, Paul Honeine, Badong Chen, Nanning Zheng,
    ADMM for Maximum Correntropy Criterion.
    Proc. 28th (INNS and IEEE-CIS) International Joint Conference on Neural Networks, 1–8.
    IEEE, 2016.
  4. Abderrahim Halimi, Nicolas Dobigeon, Jean-Yves Tourneret, Steve McLaughlin, Paul Honeine,
    Unmixing Multitemporal Hyperspectral Images Accounting for Endmember Variability.
    Proc. 23th European Conference on Signal Processing, 1–5.
    EURASIP and IEEE Signal Processing Society, 2015.
  5. Patric Nader, Paul Honeine, Pierre Beauseroy,
    Shrinkage methods for one-class classification.
    Proc. 23th European Conference on Signal Processing, 1–5.
    EURASIP and IEEE Signal Processing Society, 2015.
  6. Fei Zhu, Paul Honeine,
    Pareto front of bi-objective kernel-based nonnegative matrix factorization.
    Proc. 23th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), 1–6.
    2015.
  7. Patric Nader, Paul Honeine, Pierre Beauseroy,
    Online One-class Classification for Intrusion Detection Based on the Mahalanobis Distance.
    Proc. 23th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), 1–6.
    2015.
  8. Fei Zhu, Paul Honeine,
    Online nonnegative matrix factorization based on kernel machines.
    23th European Conference on Signal Processing (EUSIPCO), 1–5.
    EURASIP and IEEE Signal Processing Society, 2015.
  9. Abderrahim Halimi, Nicolas Dobigeon, Jean-Yves Tourneret, Paul Honeine,
    Hyperspectral unmixing accounting for spatial correlations and endmember variability.
    Proc. IEEE Workshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing, 1–4.
    IEEE, 2015.
  10. Nisrine Ghadban, Paul Honeine, Farah Mourad-Chehade, Joumana Farah, Clovis Francis,
    Gossip algorithms for principal component analysis in networks.
    Proc. 23th European Conference on Signal Processing, 1–5.
    EURASIP and IEEE Signal Processing Society, 2015.
  11. Abderrahim Halimi, Nicolas Dobigeon, Jean-Yves Tourneret, Paul Honeine,
    A new bayesian unmixing algorithm for hyperspectral images mitigating endmember variability.
    Proc. 40th IEEE International Conference on Acoustics, Speech and Signal Processing.
    IEEE, 2015.
  12. Patric Nader, Paul Honeine, Pierre Beauseroy,
    The Role of One-Class Classification in Detecting Cyberattacks in Critical Infrastructures.
    CRITIS.
    2014.
  13. Nisrine Ghadban, Paul Honeine, Clovis Francis, Farah Mourad-Chehade, Joumana Farah,
    Strategies for principal component analysis in wireless sensor networks.
    8th IEEE Sensor Array and Multichannel Signal Processing Workshop, 1–4.
    IEEE, 2014.
  14. Rita Ammanouil, Jean Abou Melhem, Joumana Farah, Paul Honeine,
    Spectral partitioning and fusion techniques for hyperspectral data classification and unmixing.
    Proc. 6th International Symposium on Communications, Control, and Signal Processing, 1–4.
    (technical co-sponsor IEEE), 2014.
  15. Sandy Mahfouz, Farah Mourad-Chehade, Paul Honeine, Joumana Farah, Hichem Snoussi,
    Ridge regression and Kalman filtering for target tracking in wireless sensor networks.
    8th IEE Sensor Array and Multichannel Signal Processing Workshop, 1–4.
    IEEE, 2014.
  16. 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.
    Proc. 21st International Conference on Systems, Signals and Image Processing, 1–4.
    IEEE Region 8, IEEE Croatia Section and EURASIP, 2014.
  17. Patric Nader, Paul Honeine, Pierre Beauseroy,
    Mahalanobis-Based One-Class Classification.
    Proc. 24th IEEE workshop on Machine Learning for Signal Processing (MLSP), 1–6.
    IEEE, 2014.
  18. Fei Zhu, Paul Honeine, Maya Kallas,
    Kernel non-negative matrix factorization without the pre-image problem.
    Proc. 24th IEEE workshop on Machine Learning for Signal Processing (MLSP), 1–6.
    IEEE, 2014.
  19. Nisrine Ghadban, Paul Honeine, Clovis Francis, Farah Mourad-Chehade, Joumana Farah,
    Diffusion Strategies For In-Network Principal Component Analysis.
    Proc. 24th IEEE workshop on Machine Learning for Signal Processing (MLSP), 1–6.
    IEEE, 2014.
  20. Sandy Mahfouz, Farah Mourad-Chehade, Paul Honeine, Joumana Farah, Hichem Snoussi,
    Combining a physical model with a nonlinear fluctuation for signal propagation modeling in WSNs.
    Proc. 11th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA).
    2014.
  21. Jie Chen, Cédric Richard, André Ferrari, Paul Honeine,
    Nonlinear unmixing of hyperspectral data with partially linear least-squares support vector regression.
    Proc. 38th IEEE International Conference on Acoustics, Speech and Signal Processing, 2174–2178.
    IEEE, 2013.
  22. Jie Chen, Cédric Richard, José C. M. Bermudez, Paul Honeine,
    Non-stationary Analysis of the Convergence of the Non-negative Least-mean-square Algorithm.
    Proc. 21th European Conference on Signal Processing, 1–5.
    EURASIP, 2013.
  23. Sandy Mahfouz, Farah Mourad-Chehade, Paul Honeine, Joumana Farah, Hichem Snoussi,
    Kernel-based localization using fingerprinting in wireless sensor networks.
    Proc. 14th IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 1948–3244.
    IEEE, 2013.
  24. Patric Nader, Paul Honeine, Pierre Beauseroy,
    Intrusion Detection in SCADA Systems Using One-Class Classification.
    Proc. 21th European Conference on Signal Processing, 1–5.
    EURASIP, 2013.
  25. Jie Chen, Cédric Richard, Paul Honeine,
    Estimating abundance fractions of materials in hyperspectral images by fitting a post-nonlinear mixing model.
    Proc. IEEE Workshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing.
    IEEE, 2013.
  26. Sandy Mahfouz, Farah Mourad-Chehade, Paul Honeine, Joumana Farah, Hichem Snoussi,
    Decentralized Localization Using Fingerprinting and Kernel Methods in Wireless Sensor Networks.
    Proc. 21th European Conference on Signal Processing, 1–5.
    EURASIP (technical co-sponsor IEEE), 2013.
  27. Paul Honeine, Henri Lantéri,
    Constrained reflect-then-combine methods for unmixing hyperspectral data.
    Proc. IEEE Workshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing.
    IEEE, 2013.
  28. Paul Honeine, Henri Lantéri, Cédric Richard,
    Constrained Kaczmarz's Cyclic Projections for Unmixing Hyperspectral Data.
    Proc. 21th European Conference on Signal Processing, 1–5.
    EURASIP, 2013.
  29. Stéphane Deveughèle, Charles Perez, Marc Lemercier, Huan Yin, Babiga Birregah, Lionel Fillatre, Paul Honeine, Igor Nikiforov, Cédric Richard, Hichem Snoussi, Nourddine Azzaoui, Blaise Kévin Guépié, Zineb Noumir,
    VigiRes'Eau.
    10th International Conference on Hydroinformatics, Hamburg, Germany, July 2012, 01.
    2012.
  30. Maya Kallas, Paul Honeine, Cédric Richard, Clovis Francis, Hassan Amoud,
    Prediction of time series using yule-walker equations with kernels.
    Proc. 37th IEEE International Conference on Acoustics, Speech and Signal Processing, 2185–2188.
    IEEE, 2012.
  31. Jie Chen, Cédric Richard, Paul Honeine, Jean-Yves Tourneret,
    Prediction of Rain Attenuation Series with Discretized Spectral Model.
    Proc. IEEE International Geoscience and Remote Sensing Symposium, 2407–2410.
    IEEE, 2012.
  32. Zineb Noumir, Paul Honeine, Cédric Richard,
    Online One-Class Machines Based on the Coherence Criterion.
    Proc. 20th European Conference on Signal Processing, 664–668.
    EURASIP, 2012.
  33. Zineb Noumir, Paul Honeine, Cédric Richard,
    One-class Machines Based on the Coherence Criterion.
    Proc. IEEE workshop on Statistical Signal Processing, 600–603.
    IEEE, 2012.
  34. Zineb Noumir, Paul Honeine, Cédric Richard,
    On simple one-class classification methods.
    Proc. IEEE International Symposium on Information Theory, 2022–2026.
    IEEE, 2012.
  35. Jie Chen, Cédric Richard, Paul Honeine,
    Nonlinear unmixing of hyperspectral images based on multi-kernel learning.
    Proc. IEEE Workshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing.
    IEEE, 2012.
  36. Maya Kallas, Clovis Francis, Lara Kanaan, Dalia Merheb, Paul Honeine, Hassan Amoud,
    Multi-Class SVM Classification Combined with Kernel PCA Feature Extraction of ECG Signals.
    Proc. 19th International Conference on Telecommunications, 1–5.
    IEEE Xplore, 2012.
  37. Maya Kallas, Clovis Francis, Paul Honeine, Hassan Amoud, Cédric Richard,
    Modeling electrocardiogram using Yule-Walker equations and kernel machines.
    Proc. 19th International Conference on Telecommunications, 1–6.
    IEEE Xplore, 2012.
  38. Zineb Noumir, Paul Honeine, Cédric Richard,
    Kernels for time series of exponential decay/growth processes.
    Proc. 22nd IEEE workshop on Machine Learning for Signal Processing, 1–6.
    IEEE, 2012.
  39. Farah Mourad, Paul Honeine, Hichem Snoussi,
    Indoor localization using polar intervals in wireless sensor networks.
    Proc. 19th International Conference on Telecommunications, 1–6.
    IEEE Xplore, 2012.
  40. Nguyen Hoang Nguyen, Cédric Richard, Paul Honeine, Céline Theys,
    Hyperspectral image unmixing using manifold learning: methods derivations and comparative tests.
    Proc. IEEE International Geoscience and Remote Sensing Symposium, 3086–3089.
    IEEE, 2012.
  41. Chafic Saidé, Régis Lengellé, Paul Honeine, Cédric Richard, Roger Achkar,
    Dictionary Adaptation for Online Prediction of Time Series Data with Kernels.
    Proc. IEEE workshop on Statistical Signal Processing, 604–607.
    IEEE, 2012.
  42. Zineb Noumir, Blaise Kévin Guepie, Lionel Fillatre, Paul Honeine, Igor Nikiforov, Hichem Snoussi, Cédric Richard, Pierre-Antoine Jarrige, Francis Campan,
    Detection of contamination in water distribution network.
    2nd International Conference SimHydro: New trends in simulation hydroinformatics and 3D modeling, Nice, September 2012, 1–8.
    2012.
  43. Pierre-Olivier Amblard, Olivier J.J. Michel, Cédric Richard, Paul Honeine,
    A gaussian process regression approach for testing Granger causality between time series data.
    Proc. 37th IEEE International Conference on Acoustics, Speech and Signal Processing, 3357–3360.
    IEEE, 2012.
  44. Paul Honeine, Farah Mourad, Maya Kallas, Hichem Snoussi, Hassan Amoud, Clovis Francis,
    Wireless sensor networks in biomedical: body area networks.
    Proc. 7th International Workshop on Systems, Signal Processing and their Applications, 388–391.
    IEEE Xplore, 2011.
  45. Lara Kanaan, Dalia Merheb, Maya Kallas, Clovis Francis, Hassan Amoud, Paul Honeine,
    PCA And KPCA Of ECG Signals With Binary SVM Classification.
    Proc. IEEE workshop on Signal Processing Systems, 344–348.
    IEEE, 2011.
  46. Jie Chen, Cédric Richard, Henri Lantéri, Céline Theys, Paul Honeine,
    Online system identification under non-negativity and $ell_1$-norm constraints algorithm and weight behavior analysis.
    Proc. 19th European Conference on Signal Processing, 1–5.
    EURASIP, 2011.
  47. Maya Kallas, Paul Honeine, Cédric Richard, Clovis Francis, Hassan Amoud,
    Non-Negative Pre-Image in Machine Learning for Pattern Recognition.
    Proc. 19th European Conference on Signal Processing, 1–5.
    EURASIP, 2011.
  48. Zineb Noumir, Paul Honeine, Cédric Richard,
    Multi-Class Least Squares Classification At Binary-Classification Complexity.
    Proc. IEEE workshop on Statistical Signal Processing, 277–280.
    IEEE, 2011.
  49. Maya Kallas, Paul Honeine, Cédric Richard, Clovis Francis, Hassan Amoud,
    Kernel-Based Autoregressive Modeling with a Pre-Image Technique.
    Proc. IEEE workshop on Statistical Signal Processing, 281–284.
    IEEE, 2011.
  50. Jie Chen, Cédric Richard, Paul Honeine,
    A novel kernel-based nonlinear unmixing scheme of hyperspectral images.
    Proc. 45th Asilomar Conference on Signals, Systems, and Computers, 1898–1902.
    IEEE, 2011.
  51. Jie Chen, Cédric Richard, José C. M. Bermudez, Paul Honeine,
    A Modified Non-Negative LMS Algorithm and its Stochastic Behavior Analysis.
    Proc. 45th Asilomar Conference on Signals, Systems, and Computers, 542–546.
    IEEE, 2011.
  52. Jie Chen, Cédric Richard, Henri Lantéri, Céline Theys, Paul Honeine,
    A gradient based method for fully constrained least-squares unmixing of hyperspectral images.
    Proc. IEEE workshop on Statistical Signal Processing, 301–304.
    IEEE, 2011.
  53. Maya Kallas, Paul Honeine, Clovis Francis, Hassan Amoud,
    A Comparative Study Of Pre-Image Techniques: The Kernel Autoregressive Case.
    Proc. IEEE workshop on Signal Processing Systems, 379–384.
    IEEE, 2011.
  54. Paul Honeine, Cédric Richard,
    The angular kernel in machine learning for hyperspectral data classification.
    Proc. IEEE Workshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing, 1–4.
    IEEE, 2010.
  55. Jie Chen, Cédric Richard, Paul Honeine, Henri Lantéri, Céline Theys,
    System identification under non-negativity constraints.
    Proc. 18th European Conference on Signal Processing, 1728–1732.
    EURASIP, 2010.
  56. Cédric Richard, André Ferrari, Hassan Amoud, Paul Honeine, Patrick Flandrin, Pierre Borgnat,
    Statistical hypothesis testing with time-frequency surrogates to check signal stationarity.
    Proc. 35th IEEE International Conference on Acoustics, Speech and Signal Processing, 3666–3669.
    IEEE, 2010.
  57. Maya Kallas, Paul Honeine, Cédric Richard, Hassan Amoud, Clovis Francis,
    Nonlinear feature extraction using kernel principal component analysis with non-negative pre-image.
    Proc. 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 3642–3645.
    IEEE, 2010.
  58. Jie Chen, Cédric Richard, Paul Honeine, José C. M. Bermudez,
    Non-negative Distributed Regression for Data Inference in Wireless Sensor Networks.
    Proc. 44th Asilomar Conference on Signals, Systems, and Computers, 451–455.
    IEEE, 2010.
  59. Cédric Richard, Paul Honeine, Hichem Snoussi, André Ferrari, Céline Theys,
    Distributed learning with kernels in wireless sensor networks for physical phenomena modeling and tracking.
    Proc. IEEE International Geoscience and Remote Sensing Symposium.
    IEEE, 2010.
  60. Paul Honeine, Cédric Richard,
    A simple scheme for unmixing hyperspectral data based on the geometry of the n-dimensional simplex.
    Proc. IEEE International Geoscience and Remote Sensing Symposium, 2271–2274.
    IEEE, 2010.
  61. Hassan Amoud, Paul Honeine, Cédric Richard, Pierre Borgnat, Patrick Flandrin,
    Time-Frequency Learning Machines For Nonstationarity Detection Using Surrogates.
    Proc. IEEE workshop on Statistical Signal Processing, 565–568.
    IEEE, 2009.
  62. Paul Honeine, Cédric Richard,
    Solving the pre-image problem in kernel machines: a direct method.
    Proc. 19th IEEE workshop on Machine Learning for Signal Processing, 1–6.
    IEEE, 2009.
  63. Paul Honeine, Cédric Richard, José C. M. Bermudez, Hichem Snoussi, Mehdi Essoloh, François Vincent,
    Functional estimation in Hilbert space for distributed learning in wireless sensor networks.
    Proc. 34th IEEE International Conference on Acoustics, Speech and Signal Processing, 2861–2864.
    IEEE, 2009.
  64. Paul Honeine, Cédric Richard, Mehdi Essoloh, Hichem Snoussi,
    Localization in sensor networks - A matrix regression approach.
    Proc. 5th IEEE Sensor Array and Multichannel Signal Processing Workshop, 284–287.
    IEEE, 2008.
  65. Paul Honeine, Mehdi Essoloh, Cédric Richard, Hichem Snoussi,
    Distributed regression in sensor networks with a reduced-order kernel model.
    Proc. 51st IEEE GLOBECOM Global Communications Conference, 1–5.
    IEEE, 2008.
  66. Paul Honeine, Cédric Richard, José C. M. Bermudez, Hichem Snoussi,
    Distributed prediction of time series data with kernels and adaptive filtering techniques in sensor networks.
    Proc. 42nd Annual ASILOMAR Conference on Signals, Systems and Computers, 246–250.
    IEEE, 2008.
  67. Mehdi Essoloh, Cédric Richard, Hichem Snoussi, Paul Honeine,
    Distributed localization in wireless sensor networks as a pre-image problem in a reproducing kernel Hilbert space.
    Proc. 16th European Conference on Signal Processing, 1–5.
    EURASIP, 2008.
  68. Paul Honeine, Cédric Richard,
    Signal-dependent time-frequency representations for classification using a radially gaussian kernel and the alignment criterion.
    Proc. IEEE workshop on Statistical Signal Processing, 735–739.
    IEEE, 2007.
  69. Paul Honeine, Cédric Richard, José C. M. Bermudez,
    On-line nonlinear sparse approximation of functions.
    Proc. IEEE International Symposium on Information Theory, 956–960.
    IEEE, 2007.
  70. Paul Honeine, Cédric Richard, Patrick Flandrin, Jean-Baptiste Pothin,
    Optimal selection of time-frequency representations for signal classification: A kernel-target alignment approach.
    Proc. 31st IEEE International Conference on Acoustics, Speech and Signal Processing, 1–4.
    IEEE, 2006.

Unindexed proceedings articles

  1. Daniel Alshamaa, Farah Chehade, Paul Honeine,
    Classification paramétrique multi-classes à croyance.
    Groupement de Recherche en Traitement du Signal et des Images (Gretsi).
    2017.
  2. Sandy Mahfouz, Farah Mourad-Chehade, Paul Honeine, Joumana Farah, Hichem Snoussi,
    Modèle semi-paramétrique RSSI/distance pour le suivi d'une cible dans les réseaux de capteurs sans fil.
    Actes du 25-ème Colloque GRETSI sur le Traitement du Signal et des Images, 1–4.
    2015.
  3. Paul Honeine, Fei Zhu,
    Eviter la malédiction de pré-image : application à la factorisation en matrices non négatives à noyaux.
    Actes du 25-ème Colloque GRETSI sur le Traitement du Signal et des Images, 1–4.
    2015.
  4. Abderrahim Halimi, Paul Honeine, Malika Kharouf, Cédric Richard, Jean-Yves Tourneret,
    Estimation de la dimension intrinsèque des images hyperspectrales à l'aide d'un modèle à variances isolées.
    Actes du 25-ème Colloque GRETSI sur le Traitement du Signal et des Images, 1–4.
    2015.
  5. Francis Campan, Blaise Kévin Guepie, Zineb Noumir, Paul Honeine, Igor Nikiforov, Cédric Richard, Hichem Snoussi, Pierre-Antoine Jarrige,
    Vigires’eau : système de surveillance en temps réel de la qualité de l’eau potable d’un réseau de distribution en vue de la détection d’intrusion.
    Workshop Interdisciplinaire sur la Sécurité Globale (WISG'13), 1–8.
    2013.
  6. Francis Campan, Van Long Do, Patric Nader, Paul Honeine, Pierre Beauseroy, Lionel Fillatre, Philippe Cornu, Igor Nikiforov, Guillaume Prigent, Jérôme Rouxel,
    Surveillance Continue d’Activité et Localisation d’Agressions.
    Workshop Interdisciplinaire sur la sécurité Globale, WISG 2013, 1–7.
    2013.
  7. Nisrine Ghadban, Paul Honeine, Clovis Francis, Farah Mourad-Chehade, Joumana Farah, Maya Kallas,
    Mobilité d'un réseau de capteurs sans fil basée sur les méthodes à noyau.
    Actes du 24-ème Colloque GRETSI sur le Traitement du Signal et des Images, 1–4.
    2013.
  8. Sandy Mahfouz, Farah Mourad-Chehade, Paul Honeine, Joumana Farah, Hichem Snoussi,
    Localisation par fingerprinting et méthodes à noyaux dans les réseaux de capteurs sans fil.
    Actes de la 14-ème conférence ROADEF de la Société Française de Recherche Opérationnelle et Aide à la Décision.
    2013.
  9. Jie Chen, Cédric Richard, José C. M. Bermudez, Paul Honeine,
    Identification en ligne avec régularisation L1. Algorithme et analyse de convergence en environnement non-stationnaire.
    Actes du 24-ème Colloque GRETSI sur le Traitement du Signal et des Images, 1–4.
    2013.
  10. Nisrine Ghadban, Paul Honeine, Clovis Francis, Farah Mourad-Chehade, Joumana Farah, Maya Kallas,
    Estimation locale d'un champ de diffusion par modèles à noyaux.
    Actes de la 14-ème conférence ROADEF de la Société Française de Recherche Opérationnele et Aide à la Décision.
    2013.
  11. Chafic Saidé, Paul Honeine, Régis Lengellé, Cédric Richard, Roger Achkar,
    Adaptation en ligne d'un dictionnaire pour les méthodes à noyau.
    Actes du 24-ème Colloque GRETSI sur le Traitement du Signal et des Images, 1–4.
    2013.
  12. Huan Yin, Francis Campan, Blaise Kévin Guépié, Zineb Noumir, Lionel Fillatre, Paul Honeine, Igor Nikiforov, Cédric Richard, Hichem Snoussi, Pierre-Antoine Jarrige, Cédric Morio,
    VigiRes'Eau : Surveiller un réseau de distribution d'eau potable.
    Workshop Interdisciplinaire sur la Sécurité Globale (WISG'12), (ANR - CSOSG), 1–8.
    2012.
  13. Stéphane Deveughèle, Huan Yin, Lionel Fillatre, Paul Honeine, Igor Nikiforov, Cédric Richard, Hichem Snoussi, Nourddine Azzaoui, Blaise Kévin Guépié, Zineb Noumir,
    VigiRes'Eau.
    Proc. 10th International Conference on Hydroinformatics.
    2012.
  14. Zineb Noumir, Blaise Kévin Guépié, Lionel Fillatre, Paul Honeine, Igor Nikiforov, Hichem Snoussi, Cédric Richard, Pierre-Antoine Jarrige, Francis Campan,
    Detection of contamination in water distribution network.
    2nd International Conference SimHydro: New trends in simulation hydroinformatics and 3D modeling, 1–8.
    2012.
  15. Lionel Fillatre, Paul Honeine, Igor Nikiforov, Cédric Richard, Hichem Snoussi, Nourddine Azzaoui, Blaise Kévin Guépié, Zineb Noumir, Stéphane Deveughèle, Huan Yin,
    VigiRes'Eau : Surveillance en temps réel de la qualité de l'eau potable d'un réseau de distribution en vue de la détection d'intrusions.
    Workshop Interdisciplinaire sur la Sécurité Globale (WISG'11), (ANR - CSOSG), 1–7.
    2011.
  16. Jie Chen, Cédric Richard, Paul Honeine,
    Un nouveau paradigme pour le démélange non-linéaire des images hyperspectrales.
    Actes du 23-ème Colloque GRETSI sur le Traitement du Signal et des Images, 1–4.
    2011.
  17. Maya Kallas, Paul Honeine, Hassan Amoud, Clovis Francis,
    Sur le problème de la pré-image en reconnaissance des formes avec contraintes de non-négativité.
    Actes du 23-ème Colloque GRETSI sur le Traitement du Signal et des Images, 1–4.
    2011.
  18. Maya Kallas, Paul Honeine, Cédric Richard, Clovis Francis, Hassan Amoud,
    Modèle autorégressif non-linéaire à noyau. Une première approche.
    Actes du 23-ème Colloque GRETSI sur le Traitement du Signal et des Images, 1–4.
    2011.
  19. Cédric Richard, Jie Chen, Paul Honeine, José C. M. Bermudez,
    Filtrage adaptatif avec contrainte de non-négativité. Principes de l'algorithme NN-LMS et modèle de convergence.
    Actes du 23-ème Colloque GRETSI sur le Traitement du Signal et des Images, 1–4.
    2011.
  20. Zineb Noumir, Paul Honeine, Cédric Richard,
    Classification multi-classes au prix d'un classifieur binaire.
    Actes du 23-ème Colloque GRETSI sur le Traitement du Signal et des Images, 1–4.
    2011.
  21. Paul Honeine, Cédric Richard,
    Approches géométriques pour l'estimation des fractions d'abondance en traitement de données hyperspectales.
    Actes du 23-ème Colloque GRETSI sur le Traitement du Signal et des Images, 1–4.
    2011.
  22. Lionel Fillatre, Paul Honeine, Igor Nikiforov, Cedric Richard, Hichem Snoussi, Nourddine Azzaoui,
    VigiRes'Eau : Surveillance en temps réel de la qualité de l'eau potable d'un réseau de distribution en vue de la détection d'intrusions.
    Workshop Interdisciplinaire sur la Sécurité Globale (WISG), Troyes, Janvier 2010, 7.
    2010.
  23. Lionel Fillatre, Paul Honeine, Igor Nikiforov, Cédric Richard, Hichem Snoussi, Nourddine Azzaoui,
    VigiRes'Eau : Surveillance en temps réel de la qualité de l'eau potable d'un réseau de distribution en vue de la détection d'intrusions.
    Workshop Interdisciplinaire sur la Sécurité Globale (WISG'10), (ANR - CSOSG), 1–7.
    2010.
  24. Jie Chen, Cédric Richard, Paul Honeine, Hichem Snoussi, Henri Lantéri, Céline Theys,
    Techniques d'apprentissage non-linéaires en ligne avec contraintes de positivité.
    Actes de la VI-ème Conférence Internationale Francophone d'Automatique, 1–6.
    2010.
  25. Hassan Amoud, Cédric Richard, Paul Honeine, Patrick Flandrin, Pierre Borgnat,
    Sur la caractérisation de non-stationnarités par la méthode des substituts.
    Actes du 22-ème Colloque GRETSI sur le Traitement du Signal et des Images, 1–4.
    2009.
  26. Paul Honeine, Cédric Richard, Hichem Snoussi,
    Auto-localisation dans les réseaux de capteurs sans fil par régression de matrices de Gram.
    Actes du 22-ème Colloque GRETSI sur le Traitement du Signal et des Images, 1–4.
    2009.
  27. Mehdi Essoloh, Paul Honeine, Cédric Richard, Hichem Snoussi,
    Apprentissage non-linéaire en ligne dans les réseaux de capteurs sans fil.
    Actes du 22-ème Colloque GRETSI sur le Traitement du Signal et des Images, 1–4.
    2009.
  28. Paul Honeine, Cédric Richard, José C. M. Bermudez,
    Modélisation parcimonieuse non linéaire en ligne par une méthode à noyau reproduisant et un critère de cohérence.
    Actes du XXI-ème Colloque GRETSI sur le Traitement du Signal et des Images, 1–4.
    2007.
  29. Paul Honeine, Cédric Richard,
    Distribution temps-fréquence à noyau radialement Gaussien : optimisation pour la classification par le critère d'alignement noyau-cible.
    Actes du XXI-ème Colloque GRETSI sur le Traitement du Signal et des Images, 1–4.
    2007.
  30. Paul Honeine, Cédric Richard, Patrick Flandrin,
    Reconnaissance des formes par méthodes à noyau dans le domaine temps-fréquence.
    Actes du XX-ème Colloque GRETSI sur le Traitement du Signal et des Images, 969–972.
    2005.

Conference talks with no proceedings

  1. Maya Kallas, Paul Honeine, Hassan Amoud, Clovis Francis, Cédric Richard,
    Constrained Pattern Recognition with Nonlinear Principal Component Analysis.
    Journées Scientifiques à l'Ecole Doctorale de Sciences et Technologie.
    2010.

Conference posters

  1. Francois Septier, Yves Delignon, Patrick Armand, Hichem Snoussi, Paul Honeine,
    MALICE : Localisation de sources polluantes depuis un réseau de capteurs.
    4-ème Workshop du Groupement d'Intérêt Scientifique : Surveillance, Sûreté, Sécurité des Grands Systèmes (GIS-3SGS'11).
    2011.
  2. Nadine Khodor, Hassan Amoud, Maya Kallas, Paul Honeine, Clovis Francis,
    Le problème de pré-image dans la reconnaissance des formes.
    Proc. 1st International Conference on Advances in Biomedical Engineering, 1–2.
    2011.

Scientific books (or chapters)

  1. Patric Nader, Paul Honeine, Pierre Beauseroy,
    The Role of One-Class Classification in Detecting Cyberattacks in Critical Infrastructures.
    Critical Information Infrastructures Security Christos G. Panayiotou and Georgios Ellinas and Elias Kyriakides and Marios M. Polycarpou (Eds.), 244–255.
    Springer, 2016.
  2. José C. M. Bermudez, Paul Honeine, Jean-Yves Tourneret, Cédric Richard,
    Kernel-Based Nonlinear Signal Processing.
    Signals and Images: Advances and Results in Speech, Estimation, Compression, Recognition, Filtering, and Processing (Chapter 2).
    CRC Press, Taylor & Francis Group, 2015.
  3. Hichem Snoussi, Paul Honeine, Cédric Richard,
    Kernel variational approach for target tracking in a wireless sensor network.
    Regularization and bayesian methods for inverse problems in signal and image processing (Chapter 10), 251–265.
    Wiley-ISTE, 2015.
  4. Zineb Noumir, Blaise Kévin Guépié, Lionel Fillatre, Paul Honeine, Igor Nikiforov, Hichem Snoussi, Cédric Richard, Pierre-Antoine Jarrige, Francis Campan,
    Detection of contamination in water distribution network.
    Advances in Hydroinformatics, 141–151.
    Springer Singapore, 2014.
  5. Nguyen Hoang Nguyen, Jie Chen, Cédric Richard, Paul Honeine, Céline Theys,
    Supervised nonlinear unmixing of hyperspectral images using a pre-image method.
    New Concepts in Imaging: Optical and Statistical Models, In Eds. D. Mary, C. Theys, and C. Aime, 417–437.
    EDP Sciences, 2013.
  6. Pierre Borgnat, Patrick Flandrin, Cédric Richard, André Ferrari, Hassan Amoud, Paul Honeine,
    Time-frequency learning machines for nonstationarity detection using surrogates.
    Advances in Machine Learning and Data Mining for Astronomy, In Eds. M. Way, J. Scargle, K. Ali, and A. Srivastava, 487–503.
    Chapman and Hall / CRC Press (Taylor and Francis), 2012.
  7. Paul Honeine, Cédric Richard, Patrick Flandrin,
    Nonstationary signal analysis with time-frequency kernel machines.
    Handbook of Research on Machine Learning Applications and Trends: Algorithms, Methods and Techniques, In Eds E. Soria, J.D. Martín, R. Magdalena, M. Martínez, and A.J. Serrano, 223–241.
    Information Science Reference, IGI Global, 2010.

PhD theses

  1. Paul Honeine,
    Méthodes à noyau pour l'analyse et la décision en environnement non-stationnaire.
    Université de technologie de Troyes, 2007.