| A Comparative Analysis of Gene Expression Profiling by Statistical and Machine Learning Approaches M Bontonou, A Haget, M Boulougouri, B Audit, P Borgnat, JM Arbona arXiv preprint arXiv:2402.00926, 2024 | | 2024 |
| Temporal network compression via network hashing R Vaudaine, P Borgnat, P Gonçalves, R Gribonval, M Karsai Applied Network Science 9 (1), 3, 2024 | 1 | 2024 |
| Code for the article Temporal Network Compression via Network Hashing R Vaudaine, R Gribonval, P Gonçalves, P Borgnat, M Karsai | 1 | 2023 |
| Mosaic benchmark networks: Modular link streams for testing dynamic community detection algorithms Y Asgari, R Cazabet, P Borgnat Complex Networks And Applications 2023, 2023 | | 2023 |
| Clustering with simplicial complexes TS Reddy, SP Chepuri, P Borgnat 2023 31st European Signal Processing Conference (EUSIPCO), 1609-1613, 2023 | 3 | 2023 |
| Expliquer la classification d'expression de gènes par la méthode des gradients intégrés M Bontonou, JM Arbona, B Audit, P Borgnat GRETSI, 29e Colloque sur le traitement du signal et des images, 1233-1236, 2023 | | 2023 |
| Un algorithme matriciel pour le calcul des composantes connectées d'un réseau complexe temporel R Vaudaine, P Borgnat, P Gonçalves, R Gribonval, M Karsai 29e Colloque GRETSI sur le traitement du signal et des image, 1181-118, 2023 | | 2023 |
| Probabilistic forecast of extreme heat waves using convolutional neural networks and rare event simulations F Bouchet, G Milosevich, F Ragone, A Lovo, P Borgnat, P Abry EGU General Assembly Conference Abstracts, EGU-8340, 2023 | | 2023 |
| Probabilistic forecasts of extreme heatwaves using convolutional neural networks in a regime of lack of data G Miloshevich, B Cozian, P Abry, P Borgnat, F Bouchet Physical Review Fluids 8 (4), 040501, 2023 | 20 | 2023 |
| Studying Limits of Explainability by Integrated Gradients for Gene Expression Models M Bontonou, A Haget, M Boulougouri, JM Arbona, B Audit, P Borgnat arXiv preprint arXiv:2303.11336, 2023 | 1 | 2023 |
| Harmonic analysis on directed graphs and applications: From Fourier analysis to wavelets H Sevi, G Rilling, P Borgnat Applied and Computational Harmonic Analysis 62, 390-440, 2023 | 21 | 2023 |
| A simple way to learn metrics between attributed graphs Y Kaloga, P Borgnat, A Habrard Learning on Graphs Conference, 25: 1-25: 12, 2022 | 1 | 2022 |
| Probleme inverse pour la localisation de tags RFID situés en zones immergées B Tibi, N Pustelnik, P Borgnat, M Cassel, H Piégay Colloque GRETSI 2022, 2022 | | 2022 |
| Transformée de Laplace Inverse multi-échelle pour l’analyse de signaux non stationnaires de Diffusion Dynamique de la Lumiere F Liénard, E Freyssingeas, P Borgnat Colloque GRETSI 2022, 2022 | | 2022 |
| A multiscale time-Laplace method to extract relaxation times from non-stationary dynamic light scattering signals F Liénard, É Freyssingeas, P Borgnat The Journal of Chemical Physics 156 (22), 2022 | 6 | 2022 |
| The Contours of a Cliophysics. How Can Econophysics Enrich Cliometrics P Abry, C Bastidon, P Borgnat, P Jensen, A Parent Case Studies in Debt Issues and Global Capital Markets. Front. Phys. 10 …, 2022 | 4 | 2022 |
| Fast multiscale diffusion on graphs S Marcotte, A Barbe, R Gribonval, T Vayer, M Sebban, P Borgnat, ... ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 4 | 2022 |
| Probabilistic forecasting of heat waves with deep learning G Miloshevich, V Jacques-Dumas, P Borgnat, P Abry, F Bouchet EGU General Assembly Conference Abstracts, EGU22-5980, 2022 | | 2022 |
| Code for reproducible research-Fast Multiscale Diffusion on Graphs S Marcotte, A Barbe, R Gribonval, T Vayer, M Sebban, P Borgnat, ... | 1 | 2022 |
| Deep Learning-Based Extreme Heatwave Forecast V Jacques-Dumas, F Ragone, P Borgnat, P Abry, F Bouchet Frontiers in Climate 4, https://www.frontiersin.org/article/10.3, 2022 | 37 | 2022 |
Patrick FlandrinCNRS & ENS de LyonVerified email at ens-lyon.fr
