| 2026 | ESANN | A Deep Learning Diagnostic Observer for Time Series Anomaly Detection. | Assmaa AlSamadi, Fannia Pacheco, Paul Honeine |
| 2026 | ICPR | A Pre-image Representer Theorem in Machine Learning. | Paul Honeine |
| 2025 | ESANN | Coherence-based Sample Selection for Class-incremental Learning. | Andrea Daou, Jean-Baptiste Pothin, Paul Honeine, Abdelaziz Bensrhair |
| 2025 | IJCNN | Deep Joint Distribution Optimal Transport for Universal Domain Adaptation on Time Series. | Romain Mussard, Fannia Pacheco, Maxime Berar, Gilles Gasso, Paul Honeine |
| 2025 | SAC | Mamba-PKD: A Framework for Efficient and Scalable Model Compression in Image Classification. | Jos Medina, Amnir Hadachi, Paul Honeine, Abdelaziz Bensrhair |
| 2024 | ICASSP | Contrastive Learning for Regression on Hyperspectral Data. | Mohamad Dhaini, Maxime Berar, Paul Honeine, Antonin Van Exem |
| 2021 | ICLR | Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective. | Muhammet Balcilar, Guillaume Renton, Pierre Hroux, Benoit Gazre, Sbastien Adam, Paul Honeine |
| 2021 | ICML | Breaking the Limits of Message Passing Graph Neural Networks. | Muhammet Balcilar, Pierre Hroux, Benoit Gazre, Pascal Vasseur, Sbastien Adam, Paul Honeine |
| 2020 | ICASSP | Pixel-Wise Linear/Nonlinear Nonnegative Matrix Factorization for Unmixing of Hyperspectral Data. | Fei Zhu, Paul Honeine, Jie Chen |
| 2020 | ICRA | The OmniScape Dataset. | Ahmed Rida Sekkat, Yohan Dupuis, Pascal Vasseur, Paul Honeine |
| 2020 | SSPR | A Graph Pre-image Method Based on Graph Edit Distances. | Linlin Jia, Benoit Gazre, Paul Honeine |
| 2020 | SSPR | A Metric Learning Approach to Graph Edit Costs for Regression. | Linlin Jia, Benoit Gazre, Florian Yger, Paul Honeine |
| 2016 | IJCNN | ADMM for maximum correntropy criterion. | Fei Zhu, Abderrahim Halimi, Paul Honeine, Badong Chen, Nanning Zheng |
| 2015 | ESANN | Online One-class Classification for Intrusion Detection Based on the Mahalanobis Distance. | Patric Nader, Paul Honeine, Pierre Beauseroy |
| 2015 | ESANN | Pareto front of bi-objective kernel-based nonnegative matrix factorization. | Fei Zhu, Paul Honeine |
| 2015 | ICASSP | A new Bayesian unmixing algorithm for hyperspectral images mitigating endmember variability. | Abderrahim Halimi, Nicolas Dobigeon, Jean-Yves Tourneret, Paul Honeine |
| 2014 | AICCSA | 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 |
| 2014 | CRITIS | The Role of One-Class Classification in Detecting Cyberattacks in Critical Infrastructures. | Patric Nader, Paul Honeine, Pierre Beauseroy |
| 2013 | ICASSP | Nonlinear unmixing of hyperspectral data with partially linear least-squares support vector regression. | Jie Chen, Cdric Richard, Andr Ferrari, Paul Honeine |
| 2012 | ICASSP | A Gaussian process regression approach for testing Granger causality between time series data. | Pierre-Olivier Amblard, Olivier J. J. Michel, Cdric Richard, Paul Honeine |
| 2012 | ICASSP | Prediction of time series using Yule-Walker equations with kernels. | Maya Kallas, Paul Honeine, Cdric Richard, Clovis Francis, Hassan Amoud |
| 2012 | IGARSS | Hyperspectral image unmixing using manifold learning methods derivations and comparative tests. | Nguyen Hoang Nguyen, Cdric Richard, Paul Honeine, Cline Theys |
| 2012 | IGARSS | Prediction of rain attenuation series based on discretized spectral model. | Jie Chen, Cdric Richard, Paul Honeine, Jean-Yves Tourneret |
| 2012 | ISIT | On simple one-class classification methods. | Zineb Noumir, Paul Honeine, Cedue Richard |
| 2011 | ACSSC | A modified non-negative LMS algorithm and its stochastic behavior analysis. | Jie Chen, Cdric Richard, Jos Carlos M. Bermudez, Paul Honeine |
| 2011 | ACSSC | A novel kernel-based nonlinear unmixing scheme of hyperspectral images. | Jie Chen, Cdric Richard, Paul Honeine |
| 2010 | ICASSP | Statistical hypothesis testing with time-frequency surrogates to check signal stationarity. | Cdric Richard, Andr Ferrari, Hassan Amoud, Paul Honeine, Patrick Flandrin, Pierre Borgnat |
| 2010 | IGARSS | A simple scheme for unmixing hyperspectral data based on the geometry of the N-dimensional simplex. | Paul Honeine, Cdric Richard |
| 2009 | ICASSP | Functional estimation in Hilbert space for distributed learning in wireless sensor networks. | Paul Honeine, Cdric Richard, Jos Carlos M. Bermudez, Hichem Snoussi, Mehdi Essoloh, Franois Vincent |
| 2008 | ACSSC | Distributed prediction of time series data with kernels and adaptive filtering techniques in sensor networks. | Paul Honeine, Cdric Richard, Jos Carlos M. Bermudez, Hichem Snoussi |
| 2008 | GLOBECOM | Distributed Regression in Sensor Networks with a Reduced-Order Kernel Model. | Paul Honeine, Mehdi Essoloh, Cdric Richard, Hichem Snoussi |
| 2007 | ISIT | On-line Nonlinear Sparse Approximation of Functions. | Paul Honeine, Cdric Richard, Jos Carlos M. Bermudez |
| 2006 | ICASSP | Optimal Selection of Time-Frequency Representations for Signal Classification: a Kernel-Target Alignment Approach. | Paul Honeine, Cdric Richard, Patrick Flandrin, Jean-Baptiste Pothin |