Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Posocco, Nicolas"'
Autor:
Lemaire, Valentin, Achenchabe, Youssef, Ody, Lucas, Souid, Houssem Eddine, Aversano, Gianmarco, Posocco, Nicolas, Skhiri, Sabri
The topic of synthetic graph generators (SGGs) has recently received much attention due to the wave of the latest breakthroughs in generative modelling. However, many state-of-the-art SGGs do not scale well with the graph size. Indeed, in the generat
Externí odkaz:
http://arxiv.org/abs/2309.15648
Trustworthy machine learning is driving a large number of ML community works in order to improve ML acceptance and adoption. The main aspect of trustworthy machine learning are the followings: fairness, uncertainty, robustness, explainability and for
Externí odkaz:
http://arxiv.org/abs/2207.03324
Autor:
Posocco, Nicolas, Bonnefoy, Antoine
Uncertainty in probabilistic classifiers predictions is a key concern when models are used to support human decision making, in broader probabilistic pipelines or when sensitive automatic decisions have to be taken. Studies have shown that most model
Externí odkaz:
http://arxiv.org/abs/2109.03480
Missing data is a recurrent and challenging problem, especially when using machine learning algorithms for real-world applications. For this reason, missing data imputation has become an active research area, in which recent deep learning approaches
Externí odkaz:
http://arxiv.org/abs/2106.16057
Anomaly detection is a widely explored domain in machine learning. Many models are proposed in the literature, and compared through different metrics measured on various datasets. The most popular metrics used to compare performances are F1-score, AU
Externí odkaz:
http://arxiv.org/abs/2106.16020
Autor:
Dubost, Florian, Collery, Benjamin, Renaudier, Antonin, Roc, Axel, Posocco, Nicolas, Bortsova, Gerda, Niessen, Wiro, de Bruijne, Marleen
Scoliosis is a condition defined by an abnormal spinal curvature. For diagnosis and treatment planning of scoliosis, spinal curvature can be estimated using Cobb angles. We propose an automated method for the estimation of Cobb angles from X-ray scan
Externí odkaz:
http://arxiv.org/abs/1911.01126