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Machine Learning and Econometrics for Risk Measurement in Finance – MLEforRisk
Recent advances in Machine Learning have profoundly changed how financial risk is measured and managed. These methods can substantially improve predictive accuracy by exploiting large and complex datasets, but they also raise important issues. Many ML models remain difficult to interpret, may behave
Machine Learning and Interpretation of Sub-Surface Architectures – MaLISSiA
Artificial intelligence and digital twins offer tremendous opportunities for modelling and understanding Earth systems. However, these new developments have mainly been applied to geophysical processes occurring within relatively well-constrained geometries (e.g., on earth surface) and they have yet
Machine Learning for Molecular Imaging and Medicine of the Future – AAIMME
Positron Emission Tomography (PET) is a powerful functional medical imaging modality. A radiotracer is injected to the patient, targeting a biochemical process and then gamma ray pairs are detected. Image reconstruction is needed to visualize and quantify the functional process of interest. The qual
Machine Learning for Multimodal Medical Image Reconstruction – MultiRecon
Positron emission tomography (PET), computed tomography (CT), and magnetic resonance imaging (MRI) are widely used in clinical practice to detect, monitor, and treat diseases. Each provides different insights—PET shows how the body functions, while CT and MRI shows the anatomy. Combining these scans
Machine control and virtualisation for Industry 4.0 – Mach4
The adaptation of industrial firms to the technological and organisational evolutions of Industry 4.0 must be supported by the development of tools enabling humans to master the growing complexity of machines. In this context, the association between ITECA and Pprime Institute combines expertise in
Machine learning And Matheuristics algorithms for Urban Transportation – MAMUT
The MAMUT project aims at designing an open platform for solving recurrent and dynamic vehicle routing problems in urban environments. In order to address these urban transportation problems, we propose to combine operations research (OR) and artificial intelligence (AI). OR is able to propose fast
Machine learning to improve neonates' General Movements Assessment – MAGMA
From birth, the movement of the baby as a whole and, in particular, of each segment (arms, legs, trunk) carries essential information whose expression depends on the baby's neuro-anatomical and functional cerebral integrity. However, it has been neglected as an early predictive marker of later devel
Machine learning with deep neural networks – Deep_in_France
In recent years we have witnessed an explosion of successful applications of deep learning including speech recognition, automatic translation, self-driving cars, computers that can beat professional Go players, and recommender systems. Deep networks designed for these tasks have millions and billi
Maintenance of Gender Inequalities: socio-psychological processes of legitimation. – GENIM
The present programme would contribute to examining three main processes of maintaining gender inequalities: gender stereotypes and their function as essentialist instruments allowing the justification and reinforcement of inequalities (research directions 1 and 2), the selection and justification f
Making invisible powers present in the Himalayas – présencedesprits
Unlike research on other cultural areas, such as the anthropology of the Amazon, Himalayan Studies have so far had little visibility as such, as if the region had failed to forge an identity of its own between India and Tibet and to be a source of inspiration in anthropological debates. One goal of
