Pierre Borgnat
Publications
Publications
|
|
Spatial contrastive pre-training of transformer encoders for seeg-based seizure onset zone detectionGSP 2025 - Workshop on Graph Signal Processing, May 2025, Montréal (Québec), Canada. pp.1-3 |
|
|
Coarsened Spectral ClusteringNetSci 2024, Jun 2024, Québec (CA), Canada |
|
|
Learning smooth graphs with sparse temporal variations to explore long-term financial trends32st European Signal Processing Conference (EUSIPCO), EURASIP, Aug 2024, Lyon, France |
|
|
Clustering with Simplicial ComplexesEUSIPCO 2023, 31st European Signal Processing Conference, EURASIP, European Association for Signal Processing, Sep 2023, Helsinki, Finland. ⟨10.23919/EUSIPCO58844.2023.10289740⟩ |
|
|
Mosaic benchmark networks: Modular link streams for testing dynamic community detection algorithmsComplex Networks And Applications 2023, Nov 2023, Menton, France. ⟨10.48550/arXiv.2310.02840⟩ |
|
|
Expliquer la classification d'expression de gènes par la méthode des gradients intégrésGRETSI, 29e Colloque sur le traitement du signal et des images, GRETSI, Aug 2023, Grenoble, France. pp.1233-1236 |
|
|
Un algorithme matriciel pour le calcul des composantes connectées d'un réseau complexe temporel29e Colloque GRETSI sur le traitement du signal et des image, GRETSI, Aug 2023, Grenoble, France. pp.1181-118 |
|
|
A Simple Way to Learn Metrics Between Attributed GraphsProceedings of the First Learning on Graphs Conference (LoG 2022),, Dec 2022, Virtual Event (Republic of Korea), France |
Detecting global financial crises over history: A multivariate nonlinear denoising strategyWorld Economic History Conference Paris, Jul 2022, Paris, France |
|
|
|
Transformée de Laplace Inverse multi-échelle pour l'analyse de signaux non stationnaires de Diffusion Dynamique de la LumièreColloque GRETSI - XXVIIIème Colloque Francophone de Traitement du Signal et des Images, Sep 2022, Nancy, France |
|
|
Fast Multiscale Diffusion on GraphsICASSP 2022 - IEEE International Conference on Acoustics, Speech and Signal Processing, May 2022, Singapore, Singapore. ⟨10.1109/ICASSP43922.2022.9746802⟩ |
|
|
Problème inverse pour la localisation de tags RFID situés en zones immergéesGRETSI 2022 - XXVIIIème Colloque Francophone de Traitement du Signal et des Images, Sep 2022, Nancy, France |
|
|
Optimization of the Diffusion Time in Graph Diffused-Wasserstein Distances: Application to Domain AdaptationICTAI 2021 - 33rd IEEE International Conference on Tools with Artificial Intelligence, Nov 2021, Virtual conference, France. pp.1-8, ⟨10.1109/ICTAI52525.2021.00125⟩ |
|
|
Multiview Variational Graph Autoencoders for Canonical Correlation AnalysisICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Jun 2021, Toronto, Canada. pp.5320-5324, ⟨10.1109/ICASSP39728.2021.9414466⟩ |
|
|
Regularized Partial Phase Synchrony Index Applied to Dynamical Functional Connectivity EstimationICASSP 2020 - IEEE International Conference on Acoustic Speech and Signal Processing, May 2020, Barcelona, Spain. pp.1-5, ⟨10.1109/ICASSP40776.2020.9054566⟩ |
|
|
Graph Diffusion Wasserstein DistancesECML PKDD 2020 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2020, Ghent, Belgium. pp.1-16, ⟨10.1007/978-3-030-67661-2_34⟩ |
|
|
Temporarily Activated Patterns for Multi-trial Functional Connectivity DataASPAI (2nd International Conference on Advances in Signal Processing and Artificial Intelligence), Nov 2020, Berlin, Germany |
Transport Optimal entre Graphes exploitant la Diffusion de la ChaleurCAP 2020 - Conférence sur l'Apprentissage Automatique, Nov 2020, Vannes, France |
|
Extraction of functional dynamic networks describing patient's epileptic seizuresCCS 2020 - Conference on Complex Systems, Dec 2020, Palma de Majorque, Spain. pp.1 |
|
|
|
COVID-19 Reproduction Number Estimation: Spatial and Temporal in Convex Optimization to Promote Piecewise SmoothnessCCS 2020 - Conference on Complex Systems, Dec 2020, online, Greece. pp.1 |
|
|
Segmentation de corrélations par débruitage pour explorer l'intégration financière internationaleGRETSI 2019 - XXVIIème Colloque francophone de traitement du signal et des images, Aug 2019, Lille, France |
|
|
Transport Optimal sous Contrainte de Régularité pour l'Adaptation de Domaines entre Graphes avec AttributsGRETSI 2019 - XXVIIème Colloque francophonede traitement du signal et des images, Aug 2019, Lille, France. pp.1-4 |
|
|
Réduction de dimension tensorielle parcimonieuse: Application au clustering de connectivité fonctionnelleGRETSI 2019 - XXVIIème Colloque francophonede traitement du signal et des images, Aug 2019, Lille, France. pp.1-4 |
|
|
Sparse tensor dimensionality reduction with application to clustering of functional connectivityWavelets and Sparsity XVIII, Aug 2019, San Diego, United States. pp.22, ⟨10.1117/12.2529595⟩ |
|
|
Wavelet-based graph inference using multiple testingSPIE Optical Engineering + Applications, Wavelets and Sparsity XVIII, Aug 2019, San Diego, Californie, United States. ⟨10.1117/12.2529193⟩ |
|
|
Multidimensional analytic signal with application on graphsSSP 2018 - IEEE Workshop on Statistical Signal Processing, IEEE, Jun 2018, Freiburg, Germany. pp.1-5 |
|
|
MODELING SIGNALS OVER DIRECTED GRAPHS THROUGH FILTERING2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP), Nov 2018, Anaheim, United States. pp.718-722, ⟨10.1109/GlobalSIP.2018.8646534⟩ |
|
|
Multiresolution analysis of functions on directed networksWavelets and Sparsity XVII, Aug 2017, San diego, United States. pp.103941Q, ⟨10.1117/12.2274341⟩ |
|
|
Using Degree Constrained Gravity Null-Models to understand the structure of journeys' networks in Bicycle Sharing SystemsESANN 2017 - European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Apr 2017, Bruges, Belgium |
|
|
Filtrage LMS sur Graphe Algorithme et Analyse26e Colloque GRETSI sur le Traitement du Signal et des Images, Sep 2017, Juan-les-Pins, France |
|
|
Enhancing Space-Aware Community Detection Using Degree Constrained Spatial Null ModelCompleNet 2017 - 8th Conference on Complex Networks, Mar 2017, Dubrovnik, Croatia. pp.26118 - 55, ⟨10.1007/978-3-319-54241-6_4⟩ |
Processing, mining and visualizing massive urban dataESANN2017, 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Apr 2017, Bruges, Belgium. 10p |
|
|
|
Accelerated spectral clustering using graph filtering of random signals41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016), Mar 2016, Shanghai, China |
|
|
Texture classification of photographic papers: improving spectral clustering using filterbanks on graphs25eme Colloque Groupe de Recherche et d'Etudes du Traitement du Signal et des Images (GRETSI 2015), Sep 2015, Lyon, France. pp. 1-4 |
Une ou deux composantes : la réponse de l'analyse spectrale singulièreGRETSI, Sep 2015, Lyon, France |
|
|
|
Random Projection and Multiscale Wavelet Leader Based Anomaly Detection and Address Identification in Internet Traffic40th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2015), Apr 2015, Brisbane, Australia. pp. 1-5 |
|
|
Multiscale Anisotropic Texture Unsupervised Clustering for Photographic Paper7th IEEE International Workshop on Information Forensics and Security (WIFS 2015), Nov 2015, Rome, Italy. pp. 1-6 |
|
|
Community mining with graph filters for correlation matricesAsilomar Conference on Signals, Systems, and Computers, Nov 2015, Monterey (CA), United States |
|
|
Factorisation de réseaux temporels : étude des rythmes hebdomadaires du système Vélo'vColloque GRETSI 2015, Sep 2015, Lyon, France |
A new nonparametric method for testing stationarity based on trend analysis in the time marginal distributionICASSP 2014 - IEEE International Conference on Acoustics, Speech and Signal Processing, May 2014, Florence, Italy. pp.320-324, ⟨10.1109/ICASSP.2014.6853610⟩ |
|
|
|
Nonnegative matrix factorization to find features in temporal networks2014 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2014, Florence, Italy. pp.SPTM-P4.1 |
Data comparison using Gaussian Graphical ModelsICSP 2014 - 12th IEEE International Conference on Signal Processing, Oct 2014, Hangzhou, China |
|
Estimation bayésienne asymptotique de la structure d'un graphe initialisée par Graphical lassoGRETSI 2013 - XXIVème Colloque francophone de traitement du signal et des images, Sep 2013, Brest, France. pp.ID370 |
|
|
|
Transformation de graphes dynamiques en signaux non stationnairesColloque GRETSI 2013, Sep 2013, Brest, France. pp.251 |
|
|
Tracking of a dynamic graph using a signal theory approach : application to the study of a bike sharing systemECCS'13, Sep 2013, Barcelone, Spain. pp.101 |
|
|
Networks as Signals, with an Application to Bike Sharing SystemGlobalSIP 2013, Dec 2013, Austin, United States. pp.IPN.PB.8 |
Hurst Exponent IntraPartum Fetal Heart Rate: Impact of DecelerationsCBMS 2013 - IEEE 26th International Symposium on Computer-Based Medical Systems, Jun 2013, Porto (Portugal), Portugal. pp.131-136, ⟨10.1109/CBMS.2013.6627777⟩ |
|
|
|
A Multicomponent proximal algorithm for Empirical Mode DecompositionEuropean Signal Processing Conference (EUSIPCO), Aug 2012, Bucharest, Romania. pp.x+5 |
A modified time-frequency method for testing wide-sense stationarityICASSP 2012 - IEEE International Conference on Acoustics, Speech and Signal Processing, Mar 2012, Kyoto, Japan. pp.3409-3412, ⟨10.1109/ICASSP.2012.6288648⟩ |
|
Peut-on attraper les utilisateurs de Vélo'v au Lasso ?XXIIe Colooque GRETSI. Traitement du Signal et des Images, GRETSI, 2011, Bordeaux, France |
|
|
|
MAWILab : Combining Diverse Anomaly Detectors for Automated Anomaly Labeling and Performance BenchmarkingACM CoNEXT 2010, Nov 2010, Philadelphia, United States |
|
|
Time-Varying Spectrum Estimation of Uniformly Modulated Processes by Means of Surrogate Data and Empirical Mode DecompositionIEEE International Conference on Acoustics, Speech, and Signal Processing ICASSP-10, Mar 2010, Dallas, Texas, United States |
StaRAC : Stationnarité Relative et Approches ConnexesGrand Colloque STIC 2010, Jan 2010, Paris, France |
|
|
|
Statistical hypothesis testing with time-frequency surrogates to check signal stationarityIEEE International Conference on Acoustics, Speech, and Signal Processing ICASSP-10, Mar 2010, Dallas, United States. pp.3666-3669, ⟨10.1109/ICASSP.2010.5495887⟩ |
|
|
Characteristics of the Dynamic of Mobile Networks4th International Conference on Bio-Inspired Models of Network, Information, and Computing Systems, Dec 2009, Avignon, France. pp.130-139, ⟨10.1007/978-3-642-12808-0_13⟩ |
|
|
Uncovering Relations Between Traffic Classifiers and Anomaly Detectors via Graph TheoryCOST-TMA (Traffic Measurement & Analysis) Workshop 2010, Apr 2010, Zurich, Switzerland. pp.101-114 |
|
|
Modélisation statistique cyclique des locations de Vélo'v à LyonXXIIe Colloque GRETSI - Traitement du Signal et des Images 2009, GRETSI, Sep 2009, Dijon, France |
|
|
Spatial analysis of dynamic movements of Vélo'v, Lyon's shared bicycle programECCS'09, Sep 2009, Warwick, United Kingdom |
|
|
On the role of flows and sessions in Internet traffic modeling: an explorative toy-modelIEEE GLOBECOM 2009, IEEE, Nov 2009, Honolulu, Hawaii, United States |
|
|
Towards Systematic Traffic AnnotationCoNEXT'09 Student Workshop, Dec 2009, Roma, Italy |
|
|
Sur la caractérisation de non-stationnarités par la méthode des substitutsXXIIe Colloque GRETSI - Traitement du Signal et des Images 2009, GRETSI, Sep 2009, Dijon, France |
Measurement Analysis of the Live E! Sensor Network: Spatial-Temporal Correlations and Efficient Data AggregationIEEE 3rd International Workshop on Practical Applications of Sensor Networking, Jul 2009, Seattle, United States |
|
|
|
Seven Years and One Day: Sketching the Evolution of Internet TrafficProceedings of the 28th IEEE INFOCOM 2009, Rio, Brazil. pp.711-719 |
|
|
Time-Frequency Learning Machines For NonStationarity Detection Using SurrogatesSSP'09 (IEEE/SP 15th Workshop on Statistical Signal Processing 2009), IEEE/SP, Aug 2009, Cardiff, United Kingdom. pp.565-568, ⟨10.1109/SSP.2009.5278514⟩ |
|
|
Studying Lyon's Vélo'V: A Statistical Cyclic ModelECCS'09, University of Warwick, Sep 2009, Warwick, United Kingdom |
Live E! Sensor Network: Correlations in Time and SpaceXXIIe Colloque GRETSI - Traitement du Signal et des Images, Sep 2009, Dijon, France |
|
|
|
Towards practical large-eddy simulations of complex turbulent flows12th EUROMECH European Turbulence Conference, Sep 2009, Marburg, Germany |
A Methodology to Identify Characteristics of the Dynamic of Mobile NetworksACM ASIAN INTERNET ENGINEERING CONFERENCE (AINTEC), Nov 2008, Bangkok, Thailand |
|
|
|
Parameter estimation for sums of correlated gamma random variables. Application to anomaly detection in Internet TrafficIEEE Int. Conf. on Acoust., Speech and Signal Proc. ICASSP-08, IEEE, Mar 2008, Las Vegas, United States |
Description and simulation of dynamic mobility networksDynamics on and of Complex Networks – II, Sep 2008, Jerusalem, Israel |
|
Vérification du lien entre auto-similarité et distributions à queues lourdes sur un dispositif grande échelle9 ième Atelier en Evaluation de Performances, Jun 2008, Aussois, France |
|
|
|
Sparse time-frequency distributions of chirps from a compressed sensing perspective8th IMA International Conference on Mathematics in Signal Processing, IMA, Dec 2008, Cirencester, United Kingdom |
|
|
Time-Frequency Surrogates for Nonstationary Signal Analysis8th IMA International Conference on Mathematics in Signal Processing, IMA, Cirencester, United Kingdom |
|
|
Testing Stationarity with Time-Frequency Surrogates15th European Signal Processing Conference EUSIPCO-2007, EURASIP, Sep 2007, Poznan, Poland |
|
|
Extracting Hidden Anomalies using Sketch and Non Gaussian Multiresolution Statistical Detection ProceduresACM SIGCOMM 2007 Workshop on Large-Scale Attack Defense (LSAD), Aug 2007, Kyoto, Japan |
|
|
Identification d'anomalies statistiques dans le trafic internet par projections aléatoires multirésolutions21e Colloque sur le Traitement du Signal et des Images. GRETSI-2007, Sep 2007, Troyes, France. pp.505-508 |
|
|
Testing Stationarity with Surrogates — A One-Class SVM Approach2007 IEEE/SP 14th Statistical Signal Processing Workshop (SSP '07), IEEE/SP, Aug 2007, Madison, Wisconsin, United States. pp.720-724 |
|
|
Sur un test temps-fréquence de stationnarité21e Colloque sur le Traitement du Signal et des Images. GRETSI-2007, GRETSI & UTT, Sep 2007, Troyes, France. pp.957-960 |
|
|
Base de traces d'anomalies légitimes et illégitimesSAR-SSI 2007 - 2nd Conference on Security in Network Architectures and Information Systems, Jun 2007, Annecy, France. 16 p |
|
|
Sketch based Anomaly Detection, Identification and Performance EvaluationSAINT 2007 International Symposium on Applications and the Internet, Workshop on Internet Measurement Technology and its Applications to Building Next Generation Internet, IEEE-CS and IPSJ, Jan 2007, Hiroshima, Japan |
|
|
Non Gaussian and Long Memory Statistical Modeling of Internet Traffic4th International Workshop on Internet Performance, Simulation, Monitoring and Measurement (IPS-MoMe) 2006, Salzburg Research, Salzburg University, IST MoMe cluster, ACM SIGSIM, IEEE Austria, Feb 2006, Salzburg, Austria. pp.176-185 |
|
|
Détection d'attaques de Dénis de Service par un modèle non gaussien multirésolutionCFIP 2006 - 12ème Colloque Francophone sur l'Ingénierie des Protocoles, Eric Fleury and Farouk Kamoun, Oct 2006, Tozeur, Tunisie. pp.1-12 |
|
|
On Sampling Methods for Linear Scale-Invariant SystemsIEEE International Conference in Acoustic, Speech, and Signal Processing (ICASSP) 2006, IEEE Signal Processing Society, May 2006, Toulouse, France. pp.III-345 III-348 |
D'etection d'attaques de "D'eni de Services" : ruptures dans les statistiques du traficGRETSI 2005 : 20e colloque GRETSI sur le traitement du signal et des images, Sep 2005, Louvain-la-Neuve, Belgique. pp.323-326 |
|
|
|
Détection d'attaques de « Déni de Services » : ruptures dans les statistiques du trafic20e Colloque sur le Traitement du Signal et des Images. GRETSI-2005, Association GRETSI, Sep 2005, Louvain-la-Neuve, Belgique |
|
|
Stochastic discrete scale invariance: Renormalization group operators and Iterated Function SystemsIMA Conference on Mathematics in Signal Processing V, IMA, Dec 2004, Cirencester, United Kingdom |
Mathématiques pour l'agrégationDunod, pp.736, 2007 |
Transformation from Graphs to Signals and BackVertex-Frequency Analysis of Graph Signals, Springer International Publishing, pp.111-139, 2019, Signals and Communication Technology, ⟨10.1007/978-3-030-03574-7_2⟩ |
|
|
|
Design of graph filters and filterbanksPetar M. Djurić; Cédric Richard. Cooperative and Graph Signal Processing, Academic Press, pp.299-324, 2018, 978-0-12-813677-5. ⟨10.1016/B978-0-12-813677-5.00011-0⟩ |
A Dynamical Network View of Lyon's Vélo'v Shared Bicycle SystemA. Mukherjee, M. Choudhury, F. Peruani, N. Ganguly, B. Mitra Dynamics On and Of Complex Networks, Volume 2: Applications to Time-Varying Dynamical Systems , springer, pp.267-284, 2013 |
|
Time-Frequency Learning Machines For NonStationarity Detection Using SurrogatesMichael J. Way; Jeffrey D. Scargle; Kamal M. Ali; Ashok N. Srivstava. Advances in Machine Learning and Data Mining for Astronomy, Chapman & Hall; CRC Press, pp.487-503, 2012, 978‐1‐4398‐4173‐0 |
|
Evolving networksMining Massive Data Sets for Security, 19, IOS Press, pp.198-203, 2008, 978-1-58603-898-4. ⟨10.3233/978-1-58603-898-4-198⟩ |
|
|
Discovering the structure of complex networks: Implementation and Complexity of the heuristic MACH[Technical Report] Laboratoire de Physique, CNRS 5672; LIRIS UMR CNRS 5205. 2015 |
|
|
Relabeling nodes according to the structure of the graph2013 |
|
|
Investigating self-similarity and heavy tailed distributions on a large scale experimental facility[Research Report] RR-6472, INRIA. 2008, pp.27 |
|
|
Non Gaussian and long memory statistical characterisations for Internet traffic with anomalies[Research Report] LIP RR-2005-35, Laboratoire de l'informatique du parallélisme. 2005, 2+21p |
|
|
Modèles et outils pour les invariances d'échelle brisées: variations sur la transformation de Lamperti et contributions aux modèles statistiques de vortex en turbulenceDynamique des Fluides [physics.flu-dyn]. Ecole normale supérieure de lyon - ENS LYON, 2002. Français. ⟨NNT : ⟩ |