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Research
Advestis part of R&D Forvis Mazars has been developing and operating ML algorithms
in commercial production since 2013.
Explore our Research below
Rechercher
Advestis
12 déc. 2023
Using Federated Learning for Collaborative Intrusion Detection Systems
M. Rizzato, Y. Laarouchi and C. Geissler. Journal of Systemics, Cybernetics and Informatics, 21(3), 29-36 (2023).
Advestis
11 déc. 2023
Journée "Transition vers l'hydrogène : innover ensemble", CNRS FRH2, 2023
C. Geissler and Pr. D. Hissel (IUF, Institut FEMTO-ST). Pitchs de binômes chercheurs-industriels, 18 Décembre 2023.
Advestis
10 nov. 2023
On Rank Selection in Non-Negative Matrix Factorization using Concordance
P. Fogel, C. Geissler, N. Morizet and G. Luta. "Special Issue Advances in Applied Probability and Statistical Inference", MDPI 2023.
Advestis
19 oct. 2023
Preventing Acute Limb Ischemia during VA-ECMO—In Silico Analysis of Physical Parameters
T. Brockaert, I. Ferreira, A. Laplante, P. Fogel, D. Grimbert and P. Mordant. Published in MDPI Journal of Clinical Medecine, 09/19/23.
Advestis
12 oct. 2023
Use cases H2 & IA - Forum Hydrogen Business for Climate, 2023
C. Geissler and Pr. D. Hissel (IUF, FEMTO-ST). Science Corner H2 & IA, Forum Hydrogen Business for Climate, October 3rd 2023.
Advestis
12 sept. 2023
Using Federated Learning for collaborative intrusion detection systems
M. Rizzato, Y. Laarouchi and C. Geissler. Proceedings of The 27th WMSCI, September 13th, 2023.
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