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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
On board with COMET to improve omics prediction models
P. Fogel and G. Luta. In "Nature Machine Intelligence", February 12th 2025.
Advestis
12 févr.
Clinical Assessment of Puressentiel® Muscles and Joints Gel Aromatherapy in the Management of Osteoarthritis-Related Knee Pain
P. Fogel, N. Barizien, P. Capron, T. Mamou, F. Louni, and R. Krzentowski. In "MDPI Healthcare" 13(2), January 2025.
Advestis
15 janv.
Integrated sources model: AÂ new space-learning model for heterogeneous multi-view data reduction, visualization, and clustering
P. Fogel, C. Geissler, F. Augé, G. Boldina, and George Luta. In "Artificial Intelligence in Health", July 2024.
Advestis
25 juil. 2024
Applying non-negative tensor factorization to centered data
P. Fogel, C. Geissler, H. J. Von Mettenheim, and G. Luta. BMI, Vol. 174, n°3 (2023).
Advestis
17 mai 2024
Impact of surgical approach on 90-day mortality after lung resection for non-small cell lung cancer in high-risk operable patients
H. Etienne, V. Margot, P. Mordant et al. In "ERJ Open Research", Vol. 10, Issue 1, 2024.
Advestis
6 févr. 2024
An adaptative approach for estimating the remaining useful life of a heavy-duty fuel cell vehicle
N. Morizet, P. Desforges, C. Geissler, E. Pahon, S. Jemei and D. Hissel. In "Elsevier Journal of Power Sources", Vol. 597, 30 March 2024.
Advestis
2 févr. 2024
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
12 déc. 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
10 nov. 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
20 oct. 2023
Using Federated Learning for collaborative intrusion detection systems
M. Rizzato, Y. Laarouchi and C. Geissler. Proceedings of The 27th WMSCI, September 13th, 2023.
Advestis
13 sept. 2023
ChatGPT: Usages, impacts & recommandations
N. Morizet, D. Grimber avec le Hub FranceIA. Dossier paru dans le Journal ActuIA n°12, pp. 25-31, Juillet-Septembre 2023.
Advestis
8 sept. 2023
Time to market reduction for hydrogen fuel cell stacks using Generative Adversarial Networks
N. Morizet, P. Desforges, C. Geissler, E. Pahon, S. Jemei and D. Hissel. In "Elsevier Journal of Power Sources", 30 September 2023.
Advestis
15 juin 2023
Generative Adversarial Networks applied to synthetic financial scenarios generation
M. Rizzato, J. Wallart, C. Geissler, N. Morizet and N. Boumlaik. In "Elsevier Physica A", 18 May 2023.
Advestis
22 mai 2023
CHAT GPT : USAGES, IMPACTS ET RECOMMANDATIONS
Hub FranceIA, Advestis et al. Note de synthèse. Mai 2023.
Advestis
2 mai 2023
Analysis of the Relevance of Sentiment Data for the Prediction of ERs in a Multi-Asset Framework
P. Desforges, C. Geissler and F. Liu. Journal of Forecasting, 15 February 2023.
Advestis
15 févr. 2023
Usage of GAMS-Based Digital Twins and Clustering to Improve Energetic Systems Control
T. Gronier, W. Maréchal, C. Geissler and S. Gibout. MDPI Energies, December 22nd 2022.
Advestis
22 déc. 2022
Partenariat SIMSEO Advestis x CRIANN
Annonce officielle du partenariat SIMSEO entre Advestis et le CRIANN, 12 Décembre 2022.
Advestis
12 déc. 2022
A Pilot Study on the Use of Generative Adversarial Networks for Data Augmentation of Time Series
N. Morizet, M. Rizzato, D. Grimbert and G. Luta. Brief Report, MDPI AI Special Issue "Feature Papers for AI", September 26th 2022.
Advestis
26 sept. 2022
An entry point to clustering methods
W. Maréchal. Medium, September 24th 2022.
Advestis
24 sept. 2022
Stress testing electrical grids: Generative Adversarial Networks for load scenario generation
M. Rizzato, N. Morizet, W. Maréchal and C. Geissler. "Elsevier Energy and AI" 9 (2022).
Advestis
11 juil. 2022
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