1. Gaëtan Frusque, Pierre Borgnat, Paulo Gonçalves, and Julien Jung. Semi-automatic extraction of functional dynamic networks describing patient's epileptic seizures. Frontiers in Neurology, 2020. Keyword(s): dynamic grahps, epilepsy, functional connectivity, graph signal processing, epileptogenic networks. [bibtex-entry]



2. Gaëtan Frusque, Julien Jung, Pierre Borgnat, and Paulo Gonçalves. Multiplex network inference with sparse tensor decomposition for functional connectivity. IEEE Transactions on Signal and Information Processing over Networks, 2020. Note: To appear. Keyword(s): graph signal processing, graphical lasso, graphs, neurosciences. [bibtex-entry]



3. F. Hua, C. Richard, C. Jie, W. Haiyan, P. Borgnat, and P. Gonçalves. Designing Convex Combination of Graph Filters. IEEE Signal Processing Letters, 2019. Note: To appear.Keyword(s): graph signal processing. [bibtex-entry]



4. B. Ricaud, P. Borgnat, N. Tremblay, P. Gonçalves, and P. Vandergheynst. Fourier could be a Data Scientist: from Graph Fourier Transform to Signal Processing on Graphs. Comptes Rendus de l'Académie des Sciences, Série A, 2019. Keyword(s): graph signal processing. [bibtex-entry]



5. N. Tremblay, P. Gonçalves, and P. Borgnat. Design of graph filters and filterbanks. In Elsevier, editor, Cooperative and Graph Signal Processing. 2018. Keyword(s): graph signal processing, graphs,. [bibtex-entry]



6. M. Tsitsvero, P. Borgnat, and P. Gonçalves. Analytic signal in many dimensions. 2018. Note: Submitted to Applied and Computational Harmonic Analysis. Keyword(s): graph signal processing, graphs, harmonic analysis. [bibtex-entry]



7. P. Loiseau, P. Gonçalves, G. Dewaele, P. Borgnat, P. Abry, and P. Vicat-Blanc. Investigating self-similarity and heavy-tailed distributions on a large scale experimental facility. IEEE/ACM Transactions on Networking, 18(4):1261-1274, August 2010. Keyword(s): multi-scale, networks, statistics, metrology, probability. [bibtex-entry]

1. Sibylle Marcotte, Amélie Barbe, Rémi Gribonval, Titouan Vayer, Marc Sebban, Pierre Borgnat, and Paulo Gonçalves. FAST MULTISCALE DIFFUSION ON GRAPHS. In IEEE Int. Conf. on Acoust. Speech and Sig. Proc., May 2022. Keyword(s): graph signal processing, optimal transport, Diffusion on graphs, domain adaptation. [bibtex-entry]



2. Amélie Barbe, Paulo Gonçalves, Marc Sebban, Pierre Borgnat, Rémi Gribonval, and Titouan Vayer. Optimization of the Diffusion Time in Graph Diffused-Wasserstein Distances: Application to Domain Adaptation. In ICTAI 2021 - 33rd IEEE International Conference on Tools with Artificial Intelligence, Virtual conference, France, pages 1-8, Nov. 2021. IEEE. Keyword(s): optimal transport, graph signal processing, graphs, domain adaptation, heat kernel. [bibtex-entry]



3. Amélie Barbe, Marc Sebban, Paulo Gonçalves, Pierre Borgnat, and Rémi Gribonval. Graph Diffusion Wasserstein Distances. In European Conference on Machine Learning, 2020. Keyword(s): optimal transport, graph signal processing, Diffusion on graphs, classification, domain adaptation. [bibtex-entry]



4. Amélie Barbe, Marc Sebban, Paulo Gonçalves, Pierre Borgnat, and Rémi Gribonval. Transport Optimal entre Graphes exploitant la Diffusion de la Chaleur. In Conférence sur l'Apprentissage automatique, 2020. Keyword(s): optimal transport, graph signal processing, Diffusion on graphs, domain adaptation. [bibtex-entry]



5. Gaëtan Frusque, Pierre Borgnat, Paulo Gonçalves, and Julien Jung. Extraction of functional dynamic networks describing patient's epileptic seizures. In Conference on Complex Systems, December 7-11 2020. Keyword(s): graph signal processing, graphical lasso, graphs, neurosciences, dynamic grahps, epileptogenic networks. [bibtex-entry]



6. Gaëtan Frusque, Julien Jung, Pierre Borgnat, and Paulo Gonçalves. Regularized partial phase synchrony index applied to dynamical functional connectivity estimation. In IEEE Int. Conf. on Acoust. Speech and Sig. Proc., Barcelona, Spain, 2020. Keyword(s): graph signal processing, estimation, graphical lasso. [bibtex-entry]



7. Gaëtan Frusque, Julien Jung, Pierre Borgnat, and Paulo Gonçalves. Temporarily Activated Patterns for Multi-trial Functional Connectivity Data. In Second Internaitonal Conference on Advances in Signal Processing and Artifical Intelligence (ASPAI), Berlin (Germany), November 2020. Keyword(s): epileptogenic networks, graph signal processing, graphical lasso, dynamic grahps. [bibtex-entry]



8. Dominique Barbe, Pierre Borgnat, Paulo Gonçalves, and Marc Sebban. Transport Optimal sous Contrainte de Régularité pour l'Adaptation de Domaines entre Graphes avec Attributs. In XXVIIe colloque GRETSI, Lille, France, August 2019. [WWW] [PDF] [bibtex-entry]



9. Gaëtan Frusque, Julien Jung, Pierre Borgnat, and Paulo Gonçalves. Réduction de dimension tensorielle parcimonieuse: Application au clustering de connectivité fonctionnelle. In XXVIIe colloque GRETSI, Lille, France, August 2019. [WWW] [PDF] [bibtex-entry]



10. M. Tsitsvero, P. Borgnat, and P. Gonçalves. Multidimensional analytic signals with application on graphs. In IEEE Satistical Signal Processing Workshop, 2018. Keyword(s): graph signal processing, harmonic analysis, multi-dimensional signals. [bibtex-entry]



11. P. Borgnat, P. Gonçalves, N. Tremblay, and N. Willaime-Angonin. Community mining with graph filters for correlation matrices. In Asilomar Conference on Signals, Systems, and Computers, 2015. Keyword(s): graph signal processing, communities detection, classification, random matrices. [bibtex-entry]



12. P. Abry, S. Roux, V. Chudácek, P. Borgnat, P. Gonçalves, and M. Doret. Hurst Exponent IntraPartum Fetal Heart Rate: Impact of Decelerations. In 26th IEEE International Symposium on Computer-Based Medical Systems, Porto (Portugal), june 2013. Note: Best paper award. Keyword(s): biomedical, Multifractal analysis, FECG, HRV. [bibtex-entry]

1. P. Loiseau, P. Gonçalves, G. Dewaele, P. Borgnat, P. Abry, and P. Vicat-Blanc. Investigating self-similarity and heavy-tailed distributions on a large scale experimental facility. Technical report 6472, INRIA, March 2008. Keyword(s): networks, multi-scale, statistics. [bibtex-entry]

1. P. Loiseau, P. Gonçalves, G. Dewaele, P. Borgnat, P. Abry, and P. Vicat-Blanc. Vérification du lien entre auto-similarité et distributions à queues lourdes sur un dispositif grande échelle, June 2008. Note: 9 ième Atelier en Evaluation de Performances, Aussois, France. Keyword(s): networks, multi-scale, statistics. [bibtex-entry]

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