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ASP technologIes for Querying large scale multisource heterogeneous web information – ASPIQ
The overall objective of the project is to propose new solutions for querying large scale multisource heterogeneous information, with two applications to web linked data and underwater archaeological surveys, where in both applications we face large data sets expressed in RDFs and OWL.
Accelerated Discovery of Optical Materials by Artificial Intelligence – AI-DiscovMat
discovery of optical materials using artificial intelligence (AI) will be initiated and developed. High-
Acoustic detection of start of fires in industrial sites – DAFI
connected sensors and fundamental of artificial intelligence in considering Machine Learning and more recently
Acoustic environmental and individual factors shaping human hearing sensitivity: assessing the relative impact of urban and rural soundscapes – EARSCAPE
population genomics and explainable artificial intelligence to unravel the complex interactions between
Acquire digiTal biomarkErs in infanCy witH sensorized TOYS for early detection and monitoring of neurodevelopmental disorders – TECH-TOYS
biomarkers grounded in Explainable Artificial Intelligence, taking advantage of a combination of previous
Action, Logical Reasoning and Spiking networks – ALoRS
we will produce a hybrid architecture of an intelligent artificial agent with different modules representing
Active and batch Segmentation, Clustering, and seriation: toward unified foundations in AI – ASCAI
learning, and more generally, of artificial intelligence. In a broad sense, it amounts to learning some
Acurate Human Modeling in Video – ACHMOV
nt, culture, animation and virtual reality, intelligent human-computer interfaces, protection and security
AdaPting and exPLaining fairnEss for Preference-based assIgnmEnt – APPLE-PIE
solutions are indeed fair. This justification must intelligibly convince the agents that a fairer decision cannot