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GRoups' Analysis for automated Cohesion Estimation – GRACE
Groups are a fascinating phenomenon. A 60 years long tradition on the study of groups in Social Science enabled to focus on higher level concepts called group emergent states. Cohesion is one of them. Despite cohesion being studied in several disciplines, a comprehensive multidisciplinary investigation is lacking. GRACE is a research project aimed at developing a computational model of cohesion integrating its task and social dimensions and also accounting for their relationship over time.
GAme Theory and Statistical estimation Bring Importance measures and Interpretability – GATSBII
learning (ML) models in data-based artificial intelligence (AI) systems --especially those submitted to [...] regulations-- require explanations, to serve the intelligibility and auditability of these AI systems. Ex
Fusion of imaging and text data for longitudinal stroke prediction and intervention – IMAGE-TEXT-AVC
and text) and the use of advanced artificial intelligence models, such as Transformers. This will enable
Fusion of Heterogeneous Components by Articial Intelligence – FUSCHIA
and processing images from drones for ISR (Intelligence, Surveillance, Reconnaissance) missions for [...] assistance to the operator based on artificial intelligence, which would allow him in the future (1) to [...] y of having them processed by an artificial intelligence engine in the same way as image data in order
Funerary composting: use of Participatory Action Research to support a social transition – F-COMPOST
question. Our approach is based on collective intelligence and focus on a main goal: testing funeral composting
Fully automated 3D fiber arrays for cell dynamic mechanical analysis – FibersForCells
The project FibersForCells aims at building 3D fiber architectures perfectly controlled in a geometrical, chemical and mechanical point of view, in which cell dynamics and mechanics will be automatically analyzed in order to access cell behavior in reconstituted systems mimicking prototypical organizations of the extracellular matrix.
Full-stack Optimization of Ultra-low-power TPGs for Intelligent Cyberphysical Systems – foutics
complexity of deep neural network based artificial intelligence (AI) is creating a challenge for embedding AI
From the lab to the field: A multiple assessment of stress in daily life to better understand social facilitation and impairment effects – DAY-STRESS
developed by the team and based on artificial intelligence, which is able to accurately measure stress [...] ces), in neurophysiology, and in artificial intelligence.
