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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
The Target Polish: A New Approach to Outlier-Resistant Non-Negative Matrix and Tensor Factorization
P. Fogel, C. Geissler, and G. Luta. arXiv, July 16th 2025.
Advestis
16 juil.
CoxNTF: A New Approach for Joint Clustering and Prediction in Survival Analysis
P. Fogel, C. Geissler, and G. Luta. In "The 4th Conference on Lifetime Data Science" (LiDS), Brooklyn, New York, USA, May 28-30 2025.
Advestis
11 juin
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
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